This is just a reminder that the best way to get results is oftentimes the most straightforward. How? Adding TLDR boosted my conversions by 33%. This person added too long didn't read blurbs at the top of this person's pages and posts boosted conversions by 33%. For articles, added a short 2 to 3 sentence summary at the top, giving the main points right away. For product pages, wrote a quick summary of the products, features, and benefits placed right under the title. The Most Straightforward Thing. Most people try to add all this fluff to get people to stay on the page longer because they think Google's gonna like that, you know? If you want people to stay on the page longer, give them what they want right away so that they go deeper. Adding too long didn't reads at the top of pages boosted conversions by 33%. I love this.

This is just a reminder that the best way to get results is oftentimes the most straightforward. How adding TL;DR boosted my conversions by 33%... Adding short TLDR summaries at the top of articles and product pages is claimed to have boosted conversions by 33% by giving users the key points immediately. Main topics: CRO / content structure.

This is just a reminder that the best way to get results is oftentimes the most straightforward.  How adding TL;DR boosted my conversions by 33%.  This person added too long didn't read blurbs at the top of this person's pages and posts. Boosted conversions by 33%.  For articles added a short two to three sentence summary at the top, giving the main points right away. For product pages, wrote a quick summary of the product's features and benefits placed right under the title.  The most straightforward thing. Most people try to add all this fluff to get people to stay on the page longer because they think Google's gonna like that. You know, if you want people to stay on the page longer, give them what they want right away so that they go deeper.  Adding too long didn't reads at the top of pages, boosted conversions by 33%. I love this. #searchengineoptimization #conversionrateoptimization #uiuix #copywriting


Ninety percent of digital marketing can already be automated and I mean that 90% of the hands on work that we did as digital marketers three years ago can now be handled by AI and automation. But of course, that's not what's happening right now and that's because it's still really hard to do and that other 10% is really important. So I wanna talk about what's keeping us from automating 90% of the digital marketing work, what it's gonna take to get us there and why that remaining 10% is probably more important than the 90%. Pretty much all of the hands on work of digital marketing is some form of content creation. Everything else is just strategy. And while AI is pretty good at content creation already, anyone who's used it enough knows that it generally produces generic AI slap and that makes it effectively useless. For the last few years, I think most people have just been kind of waiting for AI to get good enough. The idea is that eventually these models will just create great content and then we can automate all of our marketing very easily. However, I actually think we already have all the puzzle pieces we need to create high quality marketing content at scale. It's just that it's really hard to do and there's no sign that smarter AI models are gonna solve this problem for us. AI models are already very smart and they have plenty of explicit knowledge. What they're missing is tacit knowledge, they're missing context. And even as the models get smarter, they're not getting any better at this piece...

Ninety percent of digital marketing can already be automated and I mean that 90% of the hands on work that we did as digital marketers three years ago can now be handled by AI and automation. But of course, that's not what's happening right now and that's because it's still really hard to do and that other 10% is really important.

So I wanna talk about what's keeping us from automating 90% of the digital marketing work, what it's gonna take to get us there and why that remaining 10% is probably more important than the 90%. Pretty much all of the hands on work of digital marketing is some form of content creation. Everything else is just strategy. And while AI is pretty good at content creation already, anyone who's used it enough knows that it generally produces generic AI slap and that makes it effectively useless.

For the last few years, I think most people have just been kind of waiting for AI to get good enough. The idea is that eventually these models will just create great content and then we can automate all of our marketing very easily. However, I actually think we already have all the puzzle pieces we need to create high quality marketing content at scale. It's just that it's really hard to do and there's no sign that smarter AI models are gonna solve this problem for us. AI models are already very smart and they have plenty of explicit knowledge. What they're missing is tacit knowledge, they're missing context. And even as the models get smarter, they're not getting any better at this piece.

However, what we're learning in the last three months or so is that with sufficient context engineering, the current AI models can already produce high quality marketing content at scale. It just turns out that this is really hard to do well. And I should know for the past year or so, this has been the core problem I've been focused on. I realised early on that if I provided a lot of context about the brand I was producing content for and the specific task I was having to do, I got much better results. And after a year of working on it, it's pretty clear that we'll be able to get scalable results that are of the same quality of a typical digital marketing agency. But this is taking a ton of iteration and we still have a long ways to go. I'm currently in the process of building Virgin 3.0 of our brand ambassador. However, even with version 2.0, we're already three to four times as efficient as I was three years ago. And because of that, I'm convinced that this is the way.

I think within one or two years, we're gonna see most digital marketing agencies following suit and creating some kind of brand ambassador for each of their clients. Now, I should say that I work with small to medium sized businesses and things are different once you get to the enterprise level but I do think even internal marketing teams are gonna realise they need some kind of brand ambassador to keep up. Right now those of us that are doing this are just doing this on our own manually. I'm doing my best to connect with others that are doing something similar so we can share notes and learn faster. But eventually some really smart startup is gonna come along and they're gonna find out how to make software that does this much more efficiently.

And at that point, I think most brands would be wise to just pay someone to handle that software for them. And very quickly, most of the work of digital marketers will become commoditized and that remaining 10% of digital marketing work will become 90% of digital marketing work. And that's the strategy piece. Even though the hands on work will become trivial, AI shows no sign of being good at dictating what work should be done or where the focus should be, at least not anytime soon.

So my advice as we go through this transition is to find someone who understands the strategy and is keeping up with the technology you need to be able to take advantage of these efficiencies but moving fast is only valuable if you're moving in the right direction.

90% of digital marketing can already be automated with AI - here's why most people are doing it wrong 🤖 #AIMarketing #DigitalMarketing #MarketingStrategy #AIAutomation... The source argues scalable AI marketing content depends less on raw model intelligence and more on tacit brand and task context. As AI commoditizes hands-on marketing production, the creator says strategy and focus become more important. Main topics: Agency workflow / strategy, AI content quality / context.

90% of digital marketing can already be automated with AI - here's why most people are doing it wrong 🤖 #AIMarketing #DigitalMarketing #MarketingStrategy #AIAutomation #TechTrends #AIForBusiness #ContentCreation #PromptEngineering

Agency workflow / strategy
AI content quality / context


This is Hubspot's SEO. In February 2023, Hubspot was getting 24 million clicks a month from Google. Now Hubspot is getting 4.2 million clicks a month from Google. You might think that this is impressive. A lot of these clicks were for things unrelated to Hubspot's business search terms that didn't make them money. This is called topical authority. Topical authority. Really simple. How authoritative are you in your niche? Google changed its topical authority algorithm so that Hubspot search traffic went like this: down, down, down to here. This was a bad SEO strategy in the first place. Imagine ranking for tons of search terms that don't do anything for your business and just use marketing resources because you're getting tons of unrelated traffic. Double down on your niche. Triple down on your niche. Quadruple down on your niche. Don't write content about things that are unrelated to you. Focus on what is related to you. Submit your website to directories within your niche. If you submit to general directories, use language related to your niche. When describing your business, have all of your marketing blurbs mention language in your niche. Focus on this so that you get this and not this. More SEO tips at compactkeywords.com.

This is HubSpot's SEO. In February 2023, HubSpot was getting 24 million clicks a month from Google. Now HubSpot is getting 4.2 million clicks a month from Google... Technical SEO depends on site speed, architecture, topical coverage, engagement, and freshness rather than isolated keyword edits. Main topics: Entity language / directories, Technical SEO and site architecture hygiene, Topical authority / content focus.

This is HubSpot's SEO. In February 2023, HubSpot was getting 24 million clicks a month from Google. Now HubSpot is getting 4.2 million clicks a month from Google. You might think that this is impressive but a lot of these clicks were for things unrelated to HubSpot's business, search terms that didn't make them money. This is called topical authority. Topical authority, really simple, how authoritative are you in your niche? Google changed its topical authority algorithm so that HubSpot's search traffic went like this, down, down, down to here. This was a bad SEO strategy in the first place. Imagine ranking for tons of search terms that don't do anything for your business and just use marketing resources because you're getting tons of unrelated traffic. Double down on your niche. Triple down on your niche. Quadruple down on your niche. Don't write content about things that are unrelated to you. Focus on what is related to you. Submit your website to directories within your niche. If you submit to general directories, use language related to your niche when describing your business. Have all of your marketing blurbs mention language in your niche. Focus on this so that you get this and, not this. More SEO tips at compactkeywords.com #searchengineoptimization #digitalmarketing #blogging #contentmarketing


If you're a business owner, you need to see this study on how people are using AI search for products and services. Yext asked over 2,000 people how they're using tools like ChatGPT to search, and it's no surprise that 75% are using these tools more now than a year ago. But the really interesting data is what they're using these AI tools to search for. 45% are using them to search for products and services, so if you're selling anything online, people are probably searching for it on ChatGPT. But when it comes to local searches, only 27% of people are using AI, and only 19% of them actually trust AI's local search results. So you absolutely should be prioritising your business's visibility in tools like ChatGPT, but don't neglect Google, especially if you're a local business.

So how many people are actually using AI search, and what are they using it for? This study from Yext shows HUGE growth in people using ChatGPT to search for products and... A cited Yext survey says 45% use AI tools for product or service search, while local search adoption and trust are lower. Main topics: AI search adoption.

So how many people are actually using AI search, and what are they using it for? This study from Yext shows HUGE growth in people using ChatGPT to search for products and services. But people still don't really trust AI tools when it comes to local searches. So what does this mean for your local SEO? Let's dig into it!   #ChatGPTSEO #AISEO #SEO #AIsearch #localseo


$508 is the average acceptable price for acquiring one high quality backlink. Honestly, I'm surprised it's not more. A backlink is just when one website links to another site. If you've ever gotten a high quality backlink for a search term that has a ton of volume, that's bottom of funnel, that's really competitive, and the link you got is really high and you've in the difference that it makes. Something like that is worth way more than $500. The boost you can get can be near immediate. You could have been trying to rank for a keyword. It's a competitive keyword. That means lots of other people are going after it. And this link makes so much of a difference I'm surprised it's not more than this. The reason it's this amount is because people don't know if it's gonna be actually high quality or not. It needs to be on a page that actually gets traffic, on a site that ranks, in a site that's in your niche. I remember one time I didn't pay for this, but I was going after search terms in the health niche. It was a mental well being niche. It was taking a long time for my pages to rank. Then suddenly I got a backlink. I got it using help reporter out. It was from Healthline. Healthline, which is a top health website. 91 out of 100. Domain authority op health website. Basically, my rankings went like this. This is just a random image I found on Google Images to represent a traffic spike of this is what it looked like for me from getting that one backlink from Healthline. It was a free link that I got with help reporter out...

$508 is the average acceptable price for acquiring one high quality backlink. Honestly, I'm surprised it's not more. A backlink is just when one website links to another site.

If you've ever gotten a high quality backlink for a search term that has a ton of volume, that's bottom of funnel, that's really competitive, and the link you got is really high and you've in the difference that it makes. Something like that is worth way more than $500. The boost you can get can be near immediate. You could have been trying to rank for a keyword. It's a competitive keyword. That means lots of other people are going after it. And this link makes so much of a difference I'm surprised it's not more than this.

The reason it's this amount is because people don't know if it's gonna be actually high quality or not. It needs to be on a page that actually gets traffic, on a site that ranks, in a site that's in your niche.

I remember one time I didn't pay for this, but I was going after search terms in the health niche. It was a mental well being niche. It was taking a long time for my pages to rank. Then suddenly I got a backlink. I got it using help reporter out. It was from Healthline. Healthline, which is a top health website. 91 out of 100. Domain authority op health website. Basically, my rankings went like this. This is just a random image I found on Google Images to represent a traffic spike of this is what it looked like for me from getting that one backlink from Healthline.

It was a free link that I got with help reporter out. This is another free service that just connects journalists with experts. Journalists who need expert quotes and experts who want to be quoted in big publications like Healthline. I got this link. It was like this. I'm not saying you should pay more. You might not know if the link is actually gonna be good, but if you knew that the link was going to be like the Healthline link, it would be worth a lot more than this.

$508 is the average acceptable price for acquiring one high quality backlink. Honestly, I'm surprised it's not more. A backlink is just when one website links to another site... High-value backlinks are described as links on pages that get traffic, from sites that rank, and within the target niche. Main topics: Backlink quality, Link buying risk/avoid.

$508 is the average acceptable price for acquiring one high quality backlink. Honestly, I'm surprised it's not more. A backlink is just when one website links to another site. If you've ever gotten a high quality backlink for a search term that has a ton of volume, that's bottom of funnel, that's really competitive, and the link you got is really high, and you've seen the difference that it makes, something like that is worth way more than $500. The boost you can get can be near immediate. You could have been trying to rank for a keyword, it's a competitive keyword, that means lots of other people are going after it, and this link makes so much of a difference. I'm surprised it's not more than this. The reason it's this amount is because people don't know if it's gonna be actually high quality or not. It needs to be on a page that actually gets traffic, on a site that ranks, in a site that's in your niche. I remember one time, I didn't pay for this, but I was going after search terms in the health niche. It was a mental wellbeing niche, it was taking a long time for my pages to rank, then suddenly I got a backlink, I got it using Help a Reporter Out, it was from Healthline. Healthline, which is a top health website. 91 out of 100 domain authority. Top health website, basically my rankings went like this. This is just a random image I found on Google Images to represent a traffic spike. This is what it looked like for me from getting that one backlink from Healthline. It was a free link that I got with Help a Reporter Out. This is another free service that just connects journalists with experts, journalists who need expert quotes, and experts who wanna be quoted in big publications like Healthline. I got this link, it was like this. I am not saying you should pay more, you might not know if the link is actually gonna be good, but if you knew that the link was going to be like the Healthline link, it would be worth a lot more than this. #linkbuilding #blackhatseo #searchengineoptimization #seotips


Mozbar is a free Google Chrome extension that shows you any pages SEO metrics. Use it to check page and domain authority, loading speeds, meta titles, descriptions, and page headings. It also adds those same metrics on top of your Google search results. I love using this for competitor analysis.

Free SEO tools that actually help you rank – Part 14 MozBar is a free Chrome extension that gives you instant SEO metrics like page authority, domain authority, loading speed... MozBar is presented as a free Chrome extension for checking page/domain authority, loading speed, meta titles/descriptions, headings, and SERP overlay metrics. Main topics: Competitor SEO analysis.

Free SEO tools that actually help you rank – Part 14 MozBar is a free Chrome extension that gives you instant SEO metrics like page authority, domain authority, loading speed, meta titles, descriptions, and headings. It even shows these metrics directly on your Google search results, making competitor analysis so much easier. #FreeSEOTools #MozBar #SEOtips #searchengineoptimisation


Most businesses know they could be getting more from AI, they just don't know where to start. So I like to share one common example. Yesterday, I was on a discovery call with a business that is interested in hiring me to help them with their SEO and AI optimization. Naturally, they wanted to know what I would be doing to help them get more traffic from search and AI results. And I explained that about half of the work we'd be doing would be content creation. They immediately jumped in and said, we actually don't need help with content creation. We have a team of writers. And I said, oh, that's great. Are these writers experts in your industry? And they said, yes, we've trained these writers to understand everything that's important to know about our industry. We can't use AI to write the content because it constantly gets things wrong about our industry. Now, first let me say I think there still is a place for prolific expert writers. If you have extensive firsthand experience or are truly a prolific writer, then AI cannot replace you. However, that was not the case with this business. These writers had merely been trained on what was important to understand about this business. And the business was under the common misunderstanding that AI could not be similarly trained. And this is the common issue I see over and over again. Businesses are willing to spend weeks or months training new hires before they're able to produce reliable output, but often not willing to spend more than 15 minutes with ChatGPT or Claude...

Most businesses know they could be getting more from AI, they just don't know where to start. So I like to share one common example.

Yesterday, I was on a discovery call with a business that is interested in hiring me to help them with their SEO and AI optimization. Naturally, they wanted to know what I would be doing to help them get more traffic from search and AI results. And I explained that about half of the work we'd be doing would be content creation. They immediately jumped in and said, we actually don't need help with content creation. We have a team of writers. And I said, oh, that's great. Are these writers experts in your industry? And they said, yes, we've trained these writers to understand everything that's important to know about our industry. We can't use AI to write the content because it constantly gets things wrong about our industry.

Now, first let me say I think there still is a place for prolific expert writers. If you have extensive firsthand experience or are truly a prolific writer, then AI cannot replace you. However, that was not the case with this business. These writers had merely been trained on what was important to understand about this business. And the business was under the common misunderstanding that AI could not be similarly trained.

And this is the common issue I see over and over again. Businesses are willing to spend weeks or months training new hires before they're able to produce reliable output, but often not willing to spend more than 15 minutes with ChatGPT or Claude. And to be fair to them, I think it's just because they don't realise it's possible or they don't know how to get started.

So here are the basics. You need to set up some kind of project. They're called custom GPTs in ChatGPT, they're called gems in Gemini, or in my favourite, Claude, they're just called projects. Projects have two parts to them: the instructions and the knowledge. The knowledge, you're going to place everything that is important for this project to be able to reference. You wanna document with all the basic information about your company. You wanna document about all your products and services. You wanna document about your ideal customer profile. And then in the instructions, you want to give very clear instructions about how to do the task, and you also want to explain all the documents it has in its knowledge and, most importantly, specific instructions on when to use each document.

Think of setting up your project like the onboarding process of a new hire. You're not yet training it on specific tasks, you're just giving it the basic information it's going to need to start learning those tasks. For each specific task, you're gonna need a prompt template. So for example, you're gonna have one prompt template for writing blog posts, one template for creating web pages, one template for writing social media posts. And these prompts are gonna be quite long. They're not gonna be a few sentences. Imagine if you're training a new hire on how to write blog posts for your company. You wouldn't just give them a few sentences and send them on their way, right? You need to provide very clear instructions on what they need to do and what success looks like.

So here's the structure of each of my prompt templates. First, to find the role. This is gonna be something like you are an expert content writer for this brand. Next, to find the goal. This is gonna be something like your goal is to produce an optimized blog post for a given search term. Then you're gonna define the input. This might be the target keyword or the topic, along with any information you want it to reference while it's writing this piece of content. Next, you'll define the process. These should be very specific step by step instructions you want to take as it performs this test. Next are the guidelines. These are any rules you want it to follow as it goes through the process. Again, be very specific. Next are examples. You want to give it both positive and negative examples of what success looks like. You don't need to create the negative examples right away. As you get bad outputs from the prompt, you can include those as negatives. Next, to find the format that you wanted to output the task in. And then finally, you're going to repeat the most important instructions.

And the reason you do this is because with long prompts, large language models often forget things you've said. And they pay special attention to the beginning and the end of each prompt. So including the important instructions at the end makes it more likely they'll adhere to them.

So with all those parts in place, you have the first draft of a prompt. The key to making this work is iteration. Every time you get a bad output, include the bad output as a negative example and update the important instructions. And in case it wasn't clear, you're running this prompt in the project. So you create the project first, and then you paste the prompt into that project and run it this way. In addition to the prompt, it has access to everything that you've put into that project. And the project also needs to be maintained. Anytime there's new information about your company, add it to the project, update the instructions.

And you might be thinking, this sounds like a ton of work. And if you're creating a single blog post, sure. But if you want to create 100 blog posts or 1,000, it's an incredibly efficient use of your time.

Your business trains humans for months but gives AI 15 minutes then wonders why it fails 😅 Here's how to actually train AI properly #AIForBusiness #PromptEngineering... AI workspaces can be set up with instructions plus company, product, service, and ideal customer knowledge so outputs have brand context. Recurring content prompts should define role, goal, input, process, guidelines, examples, output format, and repeated priority instructions. AI content workflows should improve through iteration, using bad outputs as negative examples and updating important instructions. Main topics: AI project setup / brand knowledge, AI workflow iteration, Prompt template design.

Your business trains humans for months but gives AI 15 minutes then wonders why it fails 😅 Here's how to actually train AI properly #AIForBusiness #PromptEngineering #BusinessTips #ContentCreation #AITraining

AI project setup / brand knowledge
AI workflow iteration
Prompt template design


We are witnessing the greatest win in SEO history. I just made a video about the site. It was at 5.5 million visits a month from Google. Two days later, it's at 6 million. A month and a half ago, it was at 300,000, or less than 300,000. They went from less than 300,000 visits a month from Google if SEO to over 6 million. This is. This is stupid. Entirely AI generated content. All AI generated. Beautiful templates. Tons of dependencies. Depending on the type of article, the type of niche. There's going to be all these different modules in it. It's dynamic. You can ask AI as you read. There's AI summaries, there's an AI podcast at the top. This is crazy. Everything is AI written. They go hard on social media and YouTube, too. They have a capybara and a monkey talking to each other, telling the news. Every part of this is synthesized by AI. They did hire humans, though, real humans, to give a human touch to their AI content. But it is just so crazy. Under 300,000 visitors a month from Google to over 6 million.

We are witnessing the greatest win in SEO history. I just made a video about this site, it was at 5.5 million visits a month from Google. Two days later it's at 6 million... A cited site allegedly grew from under 300k to over 6M Google visits/month using AI-generated content with strong templates, dynamic modules, AI summaries/podcasts, social... Main topics: AI-generated content / SEO experiment.

We are witnessing the greatest win in SEO history.  I just made a video about this site, it was at 5.5 million visits a month from Google. Two days later it's at 6 million.  A month and a half ago, it was at 300,000 or less than 300,000. They went from less than 300,000 visits a month from Google with SEO to over 6 million. This is, this is stupid. Entirely AI generated content. All AI generated. Beautiful templates, tons of dependencies. Depending on the type of article, the type of niche, there's going to be all these different modules in it. It's dynamic. You can ask AI as you read. There's AI summaries. There's an AI podcast at the top. This is crazy. Everything is AI written. They go hard on social media and YouTube too. They have a Capybara and a monkey talking to each other, telling the news. Every part of this is synthesized by AI. They did hire humans, though, real humans, to give a human touch to their AI content. But it is just so crazy. Under 300,000 visitors a month from Google to over 6 million. #seotips #searchengineoptimization #scaledcontentabuse #digitalmarketing


This site went from 260,000 monthly visits from Google to 5.6 million in a month and a half using AI generated content. Here's one of its writers, Philip Carter, your AI capital markets Copilot here. All the articles are AI generated. They hired this guy, a previous news anchor at Fox, he said, adding a human element to enhance credibility and improve the company's LLM driven content. This site is why I love SEO. They invested a lot in brand and user experience. They have multiple good products. They have beautiful, dynamic pages where the page templates change depending on the subject matter. They don't have a lot of fluff. They give the answers right there at the top. They're very active on all socials. They existed for years and built up a brand. SEO is best when multiple channels play together, and this is the result of all their work.

This site went from 260,000 monthly visits from Google to 5.6 million in a month and a half using AI generated content... The cited AI-content growth case is attributed not only to AI articles but also brand investment, UX, good products, dynamic pages, direct answers, and active social channels. Main topics: Multi-channel SEO / brand.

This site went from 260,000 monthly visits from Google to 5.6 million in a month and a half using AI generated content.  Here's one of its writers, Philip Carter, “Your AI capital markets copilot here.” All the articles are AI generated.  They hired this guy,  a previous news anchor at Fox.  He said, adding a human element to enhance credibility and improve the company's LLM driven content.  This site is why I love SEO.  They invested a lot in brand and user experience.  They have multiple good products.  They have beautiful dynamic pages where the page templates change depending on the subject matter.   They don't have a lot of fluff, they give the answers right there at the top.  They're very active on all socials.  They existed for years and built up a brand.  SEO is best when multiple channels play together, and this is the result of all their work. #searchengineoptimization #indiehackers #digitalmarketing #buildinpublic


I don't know why more businesses aren't optimising for voice search. Believe it or not, voice search does not match normal search results and it only gives between 1 to 3 results, which is a really unique opportunity to get in front of your customers. Here's how you do it. Make sure your opening hours are clearly listed on your Google My Business profile and your website. Make sure your website content is optimised for long tail keywords because people tend to use more words when they use voice search. Add local business schema markup to your website. Users want an answer so quickly they don't even have time to type it themselves, so if you're not delivering a super fast user experience for mobile users, it's not gonna happen for you.

How to optimise for voice search (i.e. voice search SEO) Voice search doesn’t pull the same results as normal Google searches, and it only gives 1 to 3 answers... Voice search may return only one to three results, so local businesses should make hours, long-tail content, schema, and mobile speed clear. Main topics: Voice search optimization.

How to optimise for voice search (i.e. voice search SEO) Voice search doesn’t pull the same results as normal Google searches, and it only gives 1 to 3 answers. That means your business needs the right setup to stand a chance of ranking. Focus on: Optimising your Google My Business profile (opening hours, reviews, address, etc.) Long tail keywords in the style people speak when using Siri, Alexa, etc. Local schema markup on your website Fast mobile user experiences #VoiceSearchSEO #LocalSEO #SEOTips #SearchEngineOptimisation


I think we're about to see another step change in the way knowledge work is done, similar to the step change we saw when ChatGPT was released. I wanna talk about what this shift is, why I think it's coming by the end of 2026, and what you can be doing now to prepare for it. Large language models like ChatGPT have already disrupted a number of industries. But for the last two years, people have been saying that AI is gonna take all the jobs, and it just doesn't seem like it's happening. While AI has made a lot of jobs more efficient, people are still hiring. I think this has left a lot of people thinking that AI is just a bunch of hype. The expectation that a lot of people have is that if AI was going to take a large percentage of human jobs, then surely by now it would have taken more of them, and that seems reasonable. But that's not quite how this technology works. It doesn't slowly and consistently replace workers over time happens all at once. ChatGPT released with what's called GPT 3.5, but before that we had GPT 3, and GPT 3.5 wasn't that much better than GPT 3. So why was ChatGPT such a big deal? It's because it passed that good enough threshold. GPT 3 just wasn't quite good enough to be useful. With the small improvement to GPT 3.5, it became useful and immediately displaced a lot of jobs. Now since then, we've seen a handful of similar shifts into just useful. We've seen it with image generation, we've seen it with presentation generation and an AI voice generation, but none of these had as big of an impact as ChatGPT...

I think we're about to see another step change in the way knowledge work is done, similar to the step change we saw when ChatGPT was released. I wanna talk about what this shift is, why I think it's coming by the end of 2026, and what you can be doing now to prepare for it.

Large language models like ChatGPT have already disrupted a number of industries. But for the last two years, people have been saying that AI is gonna take all the jobs, and it just doesn't seem like it's happening. While AI has made a lot of jobs more efficient, people are still hiring. I think this has left a lot of people thinking that AI is just a bunch of hype. The expectation that a lot of people have is that if AI was going to take a large percentage of human jobs, then surely by now it would have taken more of them, and that seems reasonable. But that's not quite how this technology works. It doesn't slowly and consistently replace workers over time happens all at once.

ChatGPT released with what's called GPT 3.5, but before that we had GPT 3, and GPT 3.5 wasn't that much better than GPT 3. So why was ChatGPT such a big deal? It's because it passed that good enough threshold. GPT 3 just wasn't quite good enough to be useful. With the small improvement to GPT 3.5, it became useful and immediately displaced a lot of jobs.

Now since then, we've seen a handful of similar shifts into just useful. We've seen it with image generation, we've seen it with presentation generation and an AI voice generation, but none of these had as big of an impact as ChatGPT.

The step change that I'm predicting by the end of 2026 is what we're currently calling agentic browsers or computer use. The current versions of this are like perplexities comet browser, ChatGPT agent, or Claude computer use. Right now they're mostly just fun toys. There aren't many practical applications for them. Currently, you might say these tools are in their GPT2 era, and I think by the end of 2025, they'll probably reach GPT3 status, but they will still be effectively useless until they have their ChatGPT moment.

Eventually these agents will be able to do essentially anything a human can do on a computer. However, they'll probably still have some of the same limitations that large language models have today. Mainly, they'll have trouble seeing the bigger picture. So they're not gonna replace your senior level employees anytime soon, but I do think they'll be able to do any task that you could currently hand over to a new hire with a well written SOP. And that's why I think the best use of your time right now as a business owner is to write really good SOPs for all of your processes.

And the way we write SOPs for large language models will probably be a little different than how we write them for humans. But taking a well written SOP for a human and reformatting it for a large language model is the kind of thing that large language models are really good at. Don't wait until we know how to write SOPs for large language models. Just start making really good SOPs for humans now. Document every single process in your business that can be done on a computer and you'll be perfectly positioned to take advantage of the next ChatGPT moment.

The next ChatGPT moment is coming by 2026 🤖 Smart business owners are writing SOPs for everything NOW. Are you ready?... The creator predicts future agents may handle computer tasks that a new hire could complete from a well-written SOP. Main topics: Agentic browsers / SOPs.

The next ChatGPT moment is coming by 2026 🤖 Smart business owners are writing SOPs for everything NOW. Are you ready? #BusinessTips #FutureOfWork #Productivity #AI #aimarketingtools


If you search site colon grock.com forward slash share, you can see tons of shared chats from Grock AI. Every time a chat on Grock is shared, it becomes indexable by Google. People are now using this to rank their businesses on Google. They put in custom instructions. Their prompt to grok is a keyword like what's the best grocery store. Grok recommends them. They click share, then they buy backlinks to tell Google this chat is important and it should show up high. Wild that this exists. More crazy SEO tricks at Compact Keywords com!

You can see tons of shared chats from Grok AI on Google. Every time a chat on Grok is shared, it becomes indexable by Google... The video describes manipulating Google with indexable shared Grok chats, custom instructions, keyword prompts, sharing, and purchased backlinks. Main topics: Indexed AI chats risk/avoid.

You can see tons of shared chats from Grok AI on Google. Every time a chat on Grok is shared,  it becomes indexable by Google.  People are now using this to rank their businesses on Google.  They put in custom instructions.  Their prompt to Grok is a keyword.  They click share.  Then they buy backlinks to the Grok chat to tell Google this chat is important and it should show up high.  Wild that this exists. More  crazy SEO tricks at compactkeywords.com. #blackhatseo #seohacks #seotips #searchengineoptimization


Is ranking in large language models like ChatGPT the same as ranking in traditional search engines? In other words, is GEO just SEO in a fancy costume? I have multiple videos talking about why I think GEO is in fact different than SEO. However, I've now upset a lot of SEOs who say it's the same thing, but I wanna Steelman their argument and then I wanna provide a helpful metaphor that might clear up the misunderstanding. As many SEOs will point out, when you do a search in a large language model like ChatGPT, it will then perform its own search in a traditional search engine. So the results it returns are the same results you would get if you went to that traditional search engine. Therefore, it seems entirely reasonable to say there's no difference. Just do SEO, you'll rank in the traditional search engines, the AI will return those exact same results, and therefore you will rank in the AI search results. However, the difference in GEO or AI SEO is not a difference in how the search engine works, it's a difference in search behaviour. Large language models use traditional search engines much differently than humans use traditional search engines, and that does change the strategy. Although it doesn't seem to matter how many times I say this, I keep getting misunderstood by other SEOs, so I have a metaphor that I think will help make this clear. Let's say you're a company like General Mills that makes food products that will be sold at grocery stores. You have an idea for a new product. It's a gluten free cereal that's also high in fiber...

Is ranking in large language models like ChatGPT the same as ranking in traditional search engines? In other words, is GEO just SEO in a fancy costume? I have multiple videos talking about why I think GEO is in fact different than SEO. However, I've now upset a lot of SEOs who say it's the same thing, but I wanna Steelman their argument and then I wanna provide a helpful metaphor that might clear up the misunderstanding.

As many SEOs will point out, when you do a search in a large language model like ChatGPT, it will then perform its own search in a traditional search engine. So the results it returns are the same results you would get if you went to that traditional search engine. Therefore, it seems entirely reasonable to say there's no difference. Just do SEO, you'll rank in the traditional search engines, the AI will return those exact same results, and therefore you will rank in the AI search results.

However, the difference in GEO or AI SEO is not a difference in how the search engine works, it's a difference in search behaviour. Large language models use traditional search engines much differently than humans use traditional search engines, and that does change the strategy. Although it doesn't seem to matter how many times I say this, I keep getting misunderstood by other SEOs, so I have a metaphor that I think will help make this clear.

Let's say you're a company like General Mills that makes food products that will be sold at grocery stores. You have an idea for a new product. It's a gluten free cereal that's also high in fiber. However, there's a limited amount of shelf space in each grocery store. They might have a section for gluten free cereals, but probably not enough room for your gluten free, high fibre cereal. Now, I don't know enough about cereal to know if this analogy actually tracks, but let's just say your product is too specific to make it onto grocery store shelves, and therefore this is a bad strategy.

Now, let's say something changes overnight, and all of a sudden all the grocery stores have not one, but 10 cereal aisles. 10 aisles devoted specifically to cereal and one entire aisle just to gluten free cereal. This changes the strategy. It doesn't change how you make cereal or how you sell your product, but it does change which products make sense to develop in the first place.

That's the shift we're seeing in large language models. When a human does a search in Google, they search for one broad competitive term and they look through one, maybe three websites. In other words, the available shelf space that you're competing over is very small. In that situation, the best strategy is to find terms that are getting high search volume where you can rank in the top three spaces.

On the other hand, when you prompt a large language model, it's gonna do a search in the same search engine, but the search is gonna be way more specific, and it's probably gonna do up to a dozen different searches. And then it's not just gonna look at the three top results, it's gonna look through multiple pages of results. In fact, large language models typically look at about 100 times as many pages as a human. This opens up a ton of virtual shelf space.

So while the underlying search engine is the same, the strategy changes dramatically. Suddenly, it's worth making hyper specific content. Even if you can't rank on page one of Google, it makes sense to get your company mentioned on third party websites that might not rank on page one of Google and might not link back to you. AI is exploring dark corners of the internet that no one cared about with traditional search engines before.

So I still think there's more that we don't know than we do know, but things are definitely changing. Yes, SEO still works. SEO is still important. You do have to show up in the search engines, but things are changing quickly, and your strategy should change along with it.

SEOs are upset I said GEO ≠ SEO. Here's why they're wrong: AI searches 100x more pages than humans do 🤯 #SEO #GEO #DigitalMarketing #AI #ContentTips SEO workflows benefit from specific research tools for keyword discovery, historical checks, backlink triage, citations, and search visibility diagnostics. Main topics: GEO vs SEO strategy, Hyper-specific content / third-party mentions, SEO research and tooling workflow.


Nobody knows this about Google. You can get Google to give you customers for free. This SEO course shows how to find people looking for what you offer right now. No ad budget, just organic visibility. Works with AI too. Within the first week and a half, I made over 12 dollars just from the making the backlinks section. Just that paid for the class and more within the first two weeks. I run a new men's skincare e commerce business and compact keywords was able to pay for itself in about a month and nine days. As soon as I got the course, I went through the first couple of lessons. I was actually able to secure some new SEO contracts from clients that had previously ended SEO services with me. Get this for your business at compactkeywords.com.

You can get Google to give you customers for free. Compact Keywords shows how to find people looking for what you offer right now. No ad budget, just organic visibility... Useful niche assets can create link opportunities when people reuse them and can be asked for attribution to the original site. Main topics: Content assets as link acquisition.

You can get Google to give you customers for free. Compact Keywords shows how to find people looking for what you offer right now. No ad budget, just organic visibility. Works with AI, too. #searchengineoptimization #generativeengineoptimization #seotips #marketinghacks


I wanna talk about what I think is going to be the best long term strategy for getting recommended by large language models like ChatGPT. Right now there are about a dozen or so ways to trick ChatGPT into recommending you, but I don't think those are gonna last. What is working now, and what I think will continue working for years to come, is becoming the authority in your space. So let me break down what I mean and why I feel confident saying that. As AI gets smarter and more capable, I assume these tricks will be less effective and AI's recommendations will become a better and better proxy for just good recommendations. However, for the foreseeable future, it'll still have one major limitation. It will only have access to the information available about you online. So while I do think AI is gonna get remarkably good at recommending the best product, service, or business for given users needs, those recommendations will be based solely on the information available online. At that point, the entire game comes down to running a good business and making your voice as loud as possible online. I recently just reread the dip by Seth Godin. It's a great book, and I think it's even more true today than it was back when he wrote it. One of the concepts he talks about in this book is how you have to be the best in your field, and if you can't be first in your category, you should pick a smaller category. I think this is gonna become even more true as AI evolves...

I wanna talk about what I think is going to be the best long term strategy for getting recommended by large language models like ChatGPT. Right now there are about a dozen or so ways to trick ChatGPT into recommending you, but I don't think those are gonna last. What is working now, and what I think will continue working for years to come, is becoming the authority in your space. So let me break down what I mean and why I feel confident saying that.

As AI gets smarter and more capable, I assume these tricks will be less effective and AI's recommendations will become a better and better proxy for just good recommendations. However, for the foreseeable future, it'll still have one major limitation. It will only have access to the information available about you online. So while I do think AI is gonna get remarkably good at recommending the best product, service, or business for given users needs, those recommendations will be based solely on the information available online. At that point, the entire game comes down to running a good business and making your voice as loud as possible online.

I recently just reread the dip by Seth Godin. It's a great book, and I think it's even more true today than it was back when he wrote it. One of the concepts he talks about in this book is how you have to be the best in your field, and if you can't be first in your category, you should pick a smaller category. I think this is gonna become even more true as AI evolves.

When people go to AI to ask for recommendations, the first thing AI is gonna do is try to determine who is the main authority in this area. And that area could be your entire industry, or it could be a subsection or specialty within your industry. The important thing is that as the AI search the web about your specific category, your content, your voice, your opinions are showing up more prominently than anyone else's. Not only will this help you get recommended just for being prominent, but as long as AI sees you as the authority in your space, you can control every recommendation they make.

In traditional SEO, I always talk about partnering with Google, understanding what Google wants, and then giving that to them so they promote you to the top of the search results. For Google, that means providing the best information for a given query. However, in large language models, it's mostly about providing the best advice or recommendation for the given prompt. That's already the type of content we're seeing perform best in AI search pages that provide guidance or recommendations. However, in a sea of guidance and recommendations, the way that you win is by being the authority in your space. Be a thought leader. Make content, have opinions. Get your voice out there. AI is Watching.

Stop trying to trick ChatGPT. Become the authority in your space instead. AI's getting smarter and these tricks won't last 👑 What's your niche?... The creator argues that durable LLM recommendations come from becoming a visible authority because AI relies on online information about you. Main topics: Authority / AI recommendations.

Stop trying to trick ChatGPT. Become the authority in your space instead. AI's getting smarter and these tricks won't last 👑 What's your niche? #aimarketingtools #seo #contentcreator #digitalmarketing #thoughtleadership


People like me wanna know what you're typing into ChatGPT. In fact, you wanna know it so badly that there's now a multi million dollar industry around collecting this prompt data. So I wanna talk about why this data is so valuable, why it's so hard to get, and what it can mean for the future. Every month, more and more people are using large language models to make big decisions. A lot of these decisions are purchase decisions. I think we're quickly entering a world where most purchase decisions are at least somewhat influenced by large language models. And so it's no surprise that businesses are willing to invest a lot of money to be recommended by these large language models. This is currently the No. 1 thing we're helping our clients with. And if you want to increase your visibility in the large language models, you need to know what sources these large language models are using to make their recommendations. Currently, the only way to get these horses is to run the prompts through the large language models and look at what websites they're referring to before they come back with the recommendation. The problem is we actually have no idea what people are typing into ChatGPT. Currently we're just guessing. We guess a bunch of prompts that someone might type into ChatGPT. We look at those sources, and then we try to get our clients mentioned and recommended on those sources. Or we create better sources and hope that the large language models use our sources instead. This is somewhat similar to the process we do in traditional SEO with keyword research...

People like me wanna know what you're typing into ChatGPT. In fact, you wanna know it so badly that there's now a multi million dollar industry around collecting this prompt data. So I wanna talk about why this data is so valuable, why it's so hard to get, and what it can mean for the future.

Every month, more and more people are using large language models to make big decisions. A lot of these decisions are purchase decisions. I think we're quickly entering a world where most purchase decisions are at least somewhat influenced by large language models. And so it's no surprise that businesses are willing to invest a lot of money to be recommended by these large language models. This is currently the No. 1 thing we're helping our clients with.

And if you want to increase your visibility in the large language models, you need to know what sources these large language models are using to make their recommendations. Currently, the only way to get these horses is to run the prompts through the large language models and look at what websites they're referring to before they come back with the recommendation.

The problem is we actually have no idea what people are typing into ChatGPT. Currently we're just guessing. We guess a bunch of prompts that someone might type into ChatGPT. We look at those sources, and then we try to get our clients mentioned and recommended on those sources. Or we create better sources and hope that the large language models use our sources instead.

This is somewhat similar to the process we do in traditional SEO with keyword research. But the big difference is we actually have a pretty good idea of what search terms people type into search engines. And this is because Google shares that data. ChatGPT does not share that data.

Now I think in the future, more and more of these AI searches are gonna be done in Google using Google's AI mode. And while Google does share that data, they currently only share searches that are performed many times. This is largely for privacy reasons. If a lot of people search for the same term, they can aggregate that data into a single data point. So you can't extract any personal information about the person who made the search. However, the typical prompt is much longer and more unique and unlikely to be typed multiple times. So as things stand, it seems unlikely that we'll get direct access to what people are typing into these large language models.

Naturally, wherever there's demand, there's gonna be businesses popping up to capitalize on that demand. So now of course there are a series of Chrome extensions that will capture this data and then sell it. Some of this is done ethically. The person installing the Chrome extension understands that they're selling their data, and in exchange they might get access to the larger data set. But some of this is being done without the users knowledge, and that's definitely unethical.

So I'm sure in the next year we're gonna see startups finding more and more sophisticated ways to capture this data or simulate this data. But ethics aside, the tools that have this data are just gonna be way more useful than tools that don't. Well, I'll do my best not to support any companies that are harvesting this data unethically for my clients. I am looking for tools that have this data cause as it is with all forms of marketing, without data, we're really just guessing.

Your ChatGPT prompts = $$$. Companies are paying millions to know what you're typing. Here's the wild industry you didn't know existed 👀 #ChatGPT #AIData #PromptData #TechNews... The source frames AI-visibility research as guessing buyer prompts, running them through LLMs, and inspecting referenced websites. The source warns that some Chrome extensions may capture and sell prompt data without user knowledge, which the creator calls unethical. Main topics: Prompt research / AI sources, Risk/avoid / prompt data ethics.

Your ChatGPT prompts = $$$. Companies are paying millions to know what you're typing. Here's the wild industry you didn't know existed 👀 #ChatGPT #AIData #PromptData #TechNews #AIMarketing

Prompt research / AI sources
Risk/avoid / prompt data ethics


A few months ago, the digital marketing world was buzzing and in some cases panicking over something called Llms. TXT. This is a plain text file that was supposed to tell large language models how to use a website's content. But for anyone in traditional SEO, the idea didn't quite add up. After all, LLMs were already good at pulling from websites. Still, big headlines followed. Venture capital firm Andreesen Horowitz published a widely shared piece how Generative Engine Optimization rewrites the rules of search. Now new research from Adobe is it's challenging the hype. Looking at server logs from over 1,000 websites, Adobe found no sign that major AI crawlers, not GPT bot, not Claude bot, not perplexity bot, were even checking the LLMS. TXT file file. In fact, recent studies suggest ChatGPT often leans on Google results, not site specific instructions. Takeaway for now, the best way to get noticed by AI tools is still the compact keywords approach, the same tight purchase intent keywords strategy that works best for traditional SEO. It seems the next big thing is still the old one.

A few months ago, the digital marketing world was buzzing - and in some cases, panicking - over something called LLMs.txt... Adobe research is cited as finding no signs that major AI crawlers checked `llms.txt` across 1,000+ websites, challenging GEO hype around the file. Main topics: llms.txt contradiction / AI crawlers.

A few months ago, the digital marketing world was buzzing - and in some cases, panicking - over something called LLMs.txt. This is a plain text file that was supposed to tell large language models how to use a website’s content. But for anyone in traditional SEO, the idea didn’t add up - after all, LLMs were already good at pulling from websites. Still, big headlines followed. Venture capital firm Andreessen Horowitz published a widely shared piece, “How Generative Engine Optimization Rewrites the Rules of Search.” Now, new research from Adobe is challenging the hype. Looking at server logs from over 1,000 websites, Adobe found no sign that major AI crawlers - not GPTBot, not ClaudeBot, not PerplexityBot - were even CHECKING the LLMs.txt file. In fact, recent studies suggest ChatGPT often leans on Google results, not site-specific instructions. The takeaway? For now, the best way to get noticed by AI tools is still the compact keywords approach - the same tight, purchase-intent keyword strategy that works best for traditional SEO. It seems the new “next big thing” is still the old one. #generativeengineoptimization #searchengineoptimization #seotips #digitalmarketing


Hey friends, many of you know that we've been working on this local ranking grid software for many, many months while the team has finally wrapped up all the final details and I am so thrilled to show it to you today. It's just phenomenal, they've done such a good job. It's the greatest grid tool in the world and you can sign up for it right now. There's a free trial, everyone can get free credits, no credit card required, but let me show you how the dang thing works. So we have a really cute onboarding sequence. This is just an explanation of how the grids work and how the credits work. If you just drag it to the zero, then you will get your 100 free trials. We won't even ask you for a credit card and you can just jump right in the tool and try it. Okay, so now we're in the tool and we're just gonna make our first grid. So hey, you can pick a business on Google, just search for it, enter a Maps URL if you have it, or if you already have your locations loaded in our white spark local platform, you can just select them from the list. I'll just search for a business on Google. How about this one, Bob and Dave's Lawn and Landscape. Sure, looks good. All right, so I'm gonna make some grids. So here you can choose your grid sizes. I'll go 10 by 10. That, let's just go a one kilometer radius. Next, that would be 100 grid points. They probably care about lawn care and I can put in multiple keyword here as I set up these grids. All right, that's good. Continue and then you can either choose these grids to run on a schedule or just do ad hoc, no schedule, run them right now...

Hey friends, many of you know that we've been working on this local ranking grid software for many, many months while the team has finally wrapped up all the final details and I am so thrilled to show it to you today. It's just phenomenal, they've done such a good job. It's the greatest grid tool in the world and you can sign up for it right now. There's a free trial, everyone can get free credits, no credit card required, but let me show you how the dang thing works.

So we have a really cute onboarding sequence. This is just an explanation of how the grids work and how the credits work. If you just drag it to the zero, then you will get your 100 free trials. We won't even ask you for a credit card and you can just jump right in the tool and try it.

Okay, so now we're in the tool and we're just gonna make our first grid. So hey, you can pick a business on Google, just search for it, enter a Maps URL if you have it, or if you already have your locations loaded in our white spark local platform, you can just select them from the list. I'll just search for a business on Google. How about this one, Bob and Dave's Lawn and Landscape.

Sure, looks good. All right, so I'm gonna make some grids. So here you can choose your grid sizes. I'll go 10 by 10.

That, let's just go a one kilometer radius. Next, that would be 100 grid points. They probably care about lawn care and I can put in multiple keyword here as I set up these grids. All right, that's good.

Continue and then you can either choose these grids to run on a schedule or just do ad hoc, no schedule, run them right now. I'll leave it as weekly and sure, let's run these at 10 a.m. my time. Do it, create the grids. It takes about a minute.

All right, we got results. Let's take a look at their grid for landscaping. First off, look at how beautiful these grids are. Can you believe it?

These are the nicest looking ranking grids out of any software on the market. I can't believe how good these look but there's so much you can do in the screen that's just a little bit behind the scenes. So if I just click this one, I wanna see how do I rank in that spot? I can see we ranked number four and here are all the competitors and how they rank.

Then I can click on each of those and see their grids. Every single competitor I can see the grid for every single one of them, just phenomenal. And look at this competitive analysis. You get to see whether they're claimed, whether the business opened or closed when we ran the scan, what reviews look like, how many photos they have.

And then you can just get these direct links to their website, leave a review, to their Google Maps listing. And then we even do this. If you see someone that's like they've been keyword stuffing, you can just click this one button, go to file a business redressal complaint or you can just click, suggest and edit, jump over to the profile, which is explain how this works. But let me show you something amazing.

This little button right here will allow you to do a comparison of their grid with your grid. So good, this is our grid here and they'll choose a competitor who's ranking number one and we can look at these two grids side by side and these two competitors side by side. We can compare the reviews they have, their overall score. Look, Bob and Dave, I even claimed their listing.

I didn't notice that, but yeah. Unclaimed listing ranking pretty good. Other details that you might want to know about are our visibility score. So you can actually see how we calculate these scores and how you're doing it.

What are these metrics for your business? And then everything is under this explore button. You just click the explore and you can just browse and see how your business is doing versus the competitors. We also have a fantastic share button, which I encourage you to use.

You can make a shareable URL if I wanna share this. But this is really cool too. I can go copy this to the clipboard and then I can go make a social media post and go command V and boom, it's got all that stuff already ready to go. So I'm just so thrilled with this.

It's a beautiful piece of software. It is so easy to use. The grids look amazing. Go ahead and try it out.

You can find it at whitepark.ca slash local ranking grids and there is a free plan, just no credit card required. Just give it a test and try it out and make some grids and let me know what you think.

Local visibility depends on Google Business Profile and local ranking settings that need active category, service-area, Q&A, and ranking QA. Main topics: Google Business Profile local SEO operations.

What starts with R and rhymes with pranking kids? Yep, Whitespark has...


This tool uses Google auto complete data to show what people are actually searching. Click the table tab, then scroll through to see the most relevant keywords and their search volume. Export the data or just copy the keywords to start your on page SEO tasks.

Free SEO tools that actually help you rank - Part 13 Answer The Public is a free keyword research tool that shows you real search terms people are typing into Google... SEO workflows benefit from specific research tools for keyword discovery, historical checks, backlink triage, citations, and search visibility diagnostics. Main topics: Keyword research / Google autocomplete, SEO research and tooling workflow.

Free SEO tools that actually help you rank - Part 13 Answer The Public is a free keyword research tool that shows you real search terms people are typing into Google. It uses Google autocomplete data and provides search volumes for all the keywords it suggests. You can use it for up to 3 free searches per day.   #FreeSEOTools #AnswerThePublic #KeywordResearch #SEOtips #searchengineoptimisation

Keyword research / Google autocomplete
SEO research and tooling workflow


Let's talk about the kind of pages you should be building on your website if you want to get recommended by large language models like ChatGPT. So when someone goes to one of these large language models and asks for a recommendation, it's almost always going to search the internet. Now for some prompts in some industries, it's mostly going to look at third party websites. A lot of times it's gonna reference content on your site or your competitor's site, so if you have the kind of content it's looking for on your website, you can significantly improve your chances of being recommended. So if someone goes to ChatGPT and they just ask for the best service or the best products that you offer, ChatGPT will often reference top 10 lists or top 20 lists. So somewhere on your website for each product or service you offer, you want to have the best X lists, where X is the product or service, and of course you're gonna list yourself No. 1 and then put some other competitors behind that. Or if you wanna be kind of tricky about it, you can list people who aren't really your competitors. Now if you're in a more competitive industry, you might wanna subdivide that further and do best X for y list, where y is a specific demographic use case or service area. There's gonna be less searches for these, but they're far less competitive. And ChatGPT loves these super specific lists. If you have a system for making them quickly, they're well worth the effort...

Let's talk about the kind of pages you should be building on your website if you want to get recommended by large language models like ChatGPT. So when someone goes to one of these large language models and asks for a recommendation, it's almost always going to search the internet.

Now for some prompts in some industries, it's mostly going to look at third party websites. A lot of times it's gonna reference content on your site or your competitor's site, so if you have the kind of content it's looking for on your website, you can significantly improve your chances of being recommended.

So if someone goes to ChatGPT and they just ask for the best service or the best products that you offer, ChatGPT will often reference top 10 lists or top 20 lists. So somewhere on your website for each product or service you offer, you want to have the best X lists, where X is the product or service, and of course you're gonna list yourself No. 1 and then put some other competitors behind that. Or if you wanna be kind of tricky about it, you can list people who aren't really your competitors. Now if you're in a more competitive industry, you might wanna subdivide that further and do best X for y list, where y is a specific demographic use case or service area. There's gonna be less searches for these, but they're far less competitive. And ChatGPT loves these super specific lists. If you have a system for making them quickly, they're well worth the effort.

Next, if someone's going to ChatGPT to help them decide which company or product to go with, comparison articles are highly referenced. So on your website, you should have a page for each competitor. If you're already well known in your industry, these can be you versus competitor. If you're lesser known, then this can be competitor alternatives where you list yourself as the No. 1 alternative. You can also do similar article comparing your own products to other products that you carry or comparing different options for one of your services. Large language models love these comparison articles and they cite them a lot.

And finally, if someone is going to ChatGPT and asking specifically about your brand, FAQ pages rank really well. So you should have one giant FAQ page about your company and then one for each of your services.

Now, because there's so many ways to subdivide your services and target different demographics or areas or competitors, it's likely you'll want to create dozens or even hundreds of pages. And it's important that each of these pages is actually unique, helpful, and high quality. And that's why the first thing we do for every client is set up a brand ambassador and a workflow that can create these pages the way that you would write them yourself?

ChatGPT recommends businesses based on 3 page types. Here's what you need on your site to beat competitors! #ChatGPTSEO #AIMarketing #ContentStrategy LLMs may reference best-of lists, comparison articles, alternatives pages, and FAQs when making recommendations. Main topics: LLM Recommendation Pages, Manipulative recommendation pages risk/avoid.


It is crazy how people are hacking ChatGPT and perplexity. Ask ChatGPT what's the best Aisuo newsletter for CMOS? Recommends SEO Espresso. Same exact thing on perplexity. It cites this financial content. This is a cheap press release. If you search press release distribution on Fiverr, you get all of these super inexpensive options. This cheap press release comes from AB Newswire. AB Newswire has a package that's $500. $500 to send 83 press releases. 500 / 83 is 6 dollars. These fiver people are splitting up the 500 dollar package between them, then marking up the 6 dollar press releases. Then people are using them to manipulate ChatGPT, to manipulate perplexity, and to rank on Google. All for $6. People write press releases saying what they want about their own companies and AI parrots the press releases. Crazy.

It is crazy how people are hacking ChatGPT and Perplexity. Ask ChatGPT what's the best AI SEO newsletter for CMOs? Recommends SEO Espresso. Same exact thing on Perplexity... The video describes using cheap press releases to make ChatGPT/Perplexity recommend a brand and cite syndicated financial/newswire content. Main topics: Press release manipulation risk/avoid.

It is crazy how people are hacking ChatGPT and Perplexity. Ask ChatGPT what's the best AI SEO newsletter for CMOs? Recommends SEO Espresso. Same exact thing on Perplexity. It cites this, FinancialContent This is a cheap press release. If you search press release distribution on Fiverr, you get all of these super inexpensive options. This cheap press release comes from AB Newswire. AB Newswire has a package that's $500. $500 to send 83 press releases. $500 divided by 83 is $6. These Fiverr people are splitting up the $500 package between them, then marking up the $6 press releases. Then people are using them to manipulate ChatGPT, to manipulate Perplexity, and to rank on Google, all for $6. People write press releases saying what they want about their own companies, and AI parrots the press releases. Crazy. #generativeengineoptimization #blackhatseo #searchengineoptimization #seotips


Six dollar press releases are hacking ChatGPT, perplexity, and Google Best AI SEO Newsletter for CMOS. ChatGPT says SEO, Espresso perplexity says the same. Google's AI overviews say the same. All platforms cite this article. This article is a press release distributed by AB Newswire. AB Newswire charges $500 for 83 press releases. 500 / 83 is $6. By the way, there's more crazy SEO like this at compact keywords com. What happens next is lots of marketers will share one of these 500 dollar packages and that is how.

$6 press releases are hacking ChatGPT, Perplexity, and Google. “ Best AI SEO newsletter for CMOs,” ChatGPT says SEO Espresso. Perplexity says the same... The video claims cheap syndicated press releases can cause ChatGPT, Perplexity, and Google AI Overviews to cite the same article and recommend a newsletter. Main topics: Press release manipulation risk/avoid.

$6 press releases are hacking ChatGPT, Perplexity, and Google. “ Best AI SEO newsletter for CMOs,” ChatGPT  says SEO Espresso.  Perplexity  says the same.   Google's AI Overviews  say the same.  All platforms  cite this article, which is a press release distributed  by AB Newswire.  AB Newswire charges $500  for 83 press releases.  $500 divided by 83 is $6. By the way, there's more crazy SEO like this at compactkeywords.com.  What happens next is lots of marketers will share one of these $500 packages.  And that is how $6 press releases are hacking ChatGPT, Perplexity, and Google. #generativeengineoptimization #seohacks #searchengineoptimization #digitalmarketing


GEO is definitely going to become as big as SEO, if not bigger. Here's why. I am the director of an SEO agency, and over the last 6 months we are seeing more and more website traffic from AI tools. But the most interesting thing is that the conversion rate is higher. The people that are searching for products or services with AI tools are actually way more likely to convert. This says a lot about the demographics of people that are using AI tools to search, but also the potential these tools have to really grow a business and generate more sales. There's not a huge difference between how you optimize for search engines like Google and how you optimize for tools like ChatGPT. But I think it's gonna be really interesting to see what happens with these tools when they realise how important they can make themselves for businesses and driving sales. All of this is gonna tie into the end of Google's monopoly on online search.

Replying to @Redpepperlarnaca GEO is definitely going to become as big as SEO. Right now, we’re seeing increases in website traffic from ChatGPT and other LLMs across all the... The creator says their agency is seeing more AI-tool traffic over six months and higher conversion rates from those visitors. The creator argues there is not a huge difference between optimizing for Google and optimizing for tools like ChatGPT. Main topics: AI referral analytics, SEO and GEO overlap.

Replying to @Redpepperlarnaca GEO is definitely going to become as big as SEO. Right now, we’re seeing increases in website traffic from ChatGPT and other LLMs across all the sites we’re working on. And the crazy thing is that the conversion rates are so much higher. How AI tools choose to leverage this to make more money (because of course they will) is going to change the online search landscape forever. Unless they form some sort of partnership, I think AI & ChatGPT SEO will adapt and ultimately put an end to Google’s monopoly on online search. To be honest, I think we’re already seeing that shift in the SEO community. #GEO #searchengineoptimization #digitalmarketing #chatgpt #aeo

AI referral analytics
SEO and GEO overlap


This SEO tactic gets this person 100 to 200 backlinks per photo. The person uploads relevant photos to Unsplash and Pexels. These are stock photo sites. People use these photos on their websites because the photos are related to that person's niche. The websites that they appear on are also related to that person's niche. Then the person will use reverse image search to see which websites his photos appear on. Some of his photos appear on hundreds of websites. He sends them a message asking for them to give credit to his website and gets about a 5 to 7% backlink conversion rate off this. These are relevant websites, so it really helps his SEO. Again, some photos generated 100 to 200 backlinks.

This SEO tactic gets this person 100 to 200 backlinks per photo. The person uploads relevant photos to Unsplash and Pexels. These are stock photo sites... Uploading niche-relevant photos to Unsplash or Pexels, then requesting credit links from sites using them, is claimed to generate links. Main topics: Image backlink outreach.

This SEO tactic gets this person 100 to 200 backlinks per photo. The person uploads relevant photos to Unsplash and Pexels. These are stock photo sites. People use these photos on their websites. Because the photos are related to that person's niche, the websites that they appear on are also related to that person's niche. Then the person will use reverse image search to see which websites his photos appear on.  Some of his photos appear on hundreds of websites.  He sends them a message asking for them to give credit to his website. He gets about a 5-7% backlink conversion rate off this. These are relevant websites, so it really helps his SEO. Again, some photos generated 100 to 200 backlinks. #seotips #linkbuilding #backlinks #searchengineoptimization


This is an easy way to see if a search term on Google is under targeted. Go to Moz.com, go to keyword research, put in your search term. This is a keyword. Scroll down to SERP analysis. SERP just stands for Search Engine results page, as in what a page is on Google. And this shows the exact search engine results page for when you search the search term. This search term has a cost per click of probably around $200. Every time somebody clicks on an ad for this search term, the companies that are paying for the ads will pay $200 for a single click. But it turns out these expensive search terms and ads with SEO are very under targeted. But one might not think that because it's so expensive. But here is how you see. First, look at page score. This shows how well optimized each page is for the keyword. Only the top result is slightly optimized for the keyword. The best way to optimize for a keyword, if you're wondering, put your exact keyword in these places: a page title, meta description, URL, H1, beginning of the first sentence. That's it. If you use it more than that, especially if it's a longer keyword, it will seem unnatural and Google will consider that mild keyword stuffing. Just use it here and then you will have a very high page score. By the way, this is from my article, Perado SEO, the 20% of SEO that matters at edwardsturm.com. If you see search terms like personal 3 Lawyer NYC where the page scores are orange or yellow but not a lot of greens, that means it's under targeted...

This is an easy way to see if a search term on Google is under targeted. Go to Moz.com, go to keyword research, put in your search term. This is a keyword. Scroll down to SERP analysis. SERP just stands for Search Engine results page, as in what a page is on Google. And this shows the exact search engine results page for when you search the search term.

This search term has a cost per click of probably around $200. Every time somebody clicks on an ad for this search term, the companies that are paying for the ads will pay $200 for a single click. But it turns out these expensive search terms and ads with SEO are very under targeted. But one might not think that because it's so expensive.

But here is how you see. First, look at page score. This shows how well optimized each page is for the keyword. Only the top result is slightly optimized for the keyword. The best way to optimize for a keyword, if you're wondering, put your exact keyword in these places: a page title, meta description, URL, H1, beginning of the first sentence. That's it. If you use it more than that, especially if it's a longer keyword, it will seem unnatural and Google will consider that mild keyword stuffing. Just use it here and then you will have a very high page score.

By the way, this is from my article, Perado SEO, the 20% of SEO that matters at edwardsturm.com. If you see search terms like personal 3 Lawyer NYC where the page scores are orange or yellow but not a lot of greens, that means it's under targeted.

But then you want to look for are the websites that are ranking for these search terms, are they authoritative or not? This is domain authority. The more credible backlinks a website has, the higher its domain authority. But it turns out Personal Injury Lawyer NYC does not have a lot of high authority sites. Some of them are decent like this one at 61. But on page 1 of Google, that's what this is showing. We have 22 out of 121 out of 100. That's not great.

So what we see for this very expect expensive search term Personal Injury Lawyer NYC is we see a bunch of under optimized pages right here and low domain authority sites. That is how you tell if a search term is competitive or not with SEO. Get my full exact SEO method at compactkeywords.com.

This is an easy way to see if a search term on Google is under targeted. Go to Moz.com. Go to Keyword Research. Put in your search term - this is a keyword... The creator describes using Moz SERP analysis to spot expensive keywords with weak optimization and lower-authority ranking pages. The passage recommends exact-match keyword placement in core on-page elements while avoiding repeated use that can look like stuffing. Main topics: Keyword opportunity analysis, On-page SEO.

This is an easy way to see if a search term on Google is under targeted. Go to Moz.com. Go to Keyword Research. Put in your search term - this is a keyword. Scroll down to SERP analysis. SERP just stands for Search Engine Results Page, as in what a page is on Google, and this shows the exact search engine results page for when you search the search term. This search term has a cost per click of probably around $200. Every time somebody clicks on an ad for this search term, the companies that are paying for the ads will pay $200 for a single click. But it turns out these expensive search terms and ads with SEO are very under targeted, but one might not think that because it’s so expensive. But here is how you see. First, look at page score. This shows how well optimized each page is for the keyword. Only the top result is slightly optimized for the keyword. The best way to optimize for a keyword, if you’re wondering, is to put your exact keyword in these places: the page title, meta description, URL, H1, and the beginning of the first sentence - that’s it. If you use it more than that, especially if it’s a longer keyword, it will seem unnatural and Google will consider that mild keyword stuffing. Just use it here, and then you will have a very high page score. By the way, this is from my article Pareto, SEO, the 20% of SEO that matters at Edwardsturm.com. If you see search terms like “personal injury lawyer NYC,” where the page scores are orange or yellow but not a lot of greens, that means it’s under targeted. But then you want to look for whether the websites ranking for these search terms are authoritative or not - this is domain authority. The more credible backlinks a website has, the higher its domain authority. But it turns out “personal injury lawyer NYC” does not have a lot of high authority sites. Some of them are decent, like one at 61, but on page one of Google - that’s what this is showing - we have 22/100, 21/100. That’s not great. So what we see for this very expensive search term, “personal injury lawyer NYC,” is a bunch of underoptimized pages and low domain authority sites. That is how you tell if a search term is competitive or not with SEO. Get my full exact SEO method at compactkeywords.com. #seotips #searchengineoptimization #compactkeywords #indiehackers

Keyword opportunity analysis
On-page SEO


Google search results are changing faster than ever, and I'm not even talking about AI this time. Google just put out a big core algorithm update at the end of June, but the rankings have actually been changing even more since that update went out. So I wanna talk about one of the biggest trends we're seeing and how Google search results are changing, about what this means for business owners, and then talk about the one thing that I think most people are getting wrong about this trend. So anytime Google puts out a big algorithm update, it takes at least a few weeks for the community to figure out what actually changed. One shift that I'm seeing over and over again is it pages that had a lot of keyword optimized words. These are pages targeting specific search terms, usually with big blocks of text, including variations of these terms and related terms. Pages like this aren't ranking as well as they were before the June update. Now, here's what people are getting wrong. Naturally, when you see your rankings go down for a page, your thought is that, oh, Google's penalized me, right? Google doesn't like what I'm doing on this page, so I need to respond now in some way that might even seem obvious. But here's the thing. When you clean up those pages, when you remove the big blocks of text and you reduce the amount of times you're using keyword variations, you almost never see an increase in ranking. In fact, you'll often see another decrease in ranking. So how could that be? Well, here's the thing...

Google search results are changing faster than ever, and I'm not even talking about AI this time. Google just put out a big core algorithm update at the end of June, but the rankings have actually been changing even more since that update went out.

So I wanna talk about one of the biggest trends we're seeing and how Google search results are changing, about what this means for business owners, and then talk about the one thing that I think most people are getting wrong about this trend.

So anytime Google puts out a big algorithm update, it takes at least a few weeks for the community to figure out what actually changed. One shift that I'm seeing over and over again is it pages that had a lot of keyword optimized words. These are pages targeting specific search terms, usually with big blocks of text, including variations of these terms and related terms. Pages like this aren't ranking as well as they were before the June update.

Now, here's what people are getting wrong. Naturally, when you see your rankings go down for a page, your thought is that, oh, Google's penalized me, right? Google doesn't like what I'm doing on this page, so I need to respond now in some way that might even seem obvious.

But here's the thing. When you clean up those pages, when you remove the big blocks of text and you reduce the amount of times you're using keyword variations, you almost never see an increase in ranking. In fact, you'll often see another decrease in ranking. So how could that be?

Well, here's the thing. Google actually isn't penalizing you for having a bunch of text and keyword variations on the page. It's just that that used to be more effective than it is now. And this isn't a new trend. As Google's algorithms gotten smarter over the last few years, pages like this just rank a little bit worse every update.

I've actually had two businesses reach out to me just this week with the same problem, and once I explain that the text on the page with all their keywords isn't helping them rank as much as they used to, they always ask, so should we remove it? How should we change the page?

And my answer is always the same. I think you might as well clean up the page. Stop using this aggressive keyword stuffing tactic. Make sure you're still including all the terms that that page could realistically rank for, but otherwise just focus on user experience. Not because you're gonna see a ranking boost, at least not in the short term, but because user experience actually does matter, and long term it probably does impact your rankings.

But then of course they wanna know, how do we get our rankings back? What works now to get more traffic to our website? Here's the thing, it's the same thing that worked before the update. The only thing that's changing is that some of these spammy tactics aren't as effective as they used to be.

What still works now, and will continue to work for the foreseeable future, is building a strong brand and being as noisy as possible on the internet. This is why our focus is helping our clients build efficient systems to create high quality content at scale, addressing the main problems and needs of their target customers.

As we shift into an AI future, the winners are going to be the noisiest brands. So yes, SEO fundamentals are still important. If your website isn't following sound SEO practices, you should definitely prioritize that. But otherwise, as with most Google algorithm updates, there's really nothing to respond to.

Everyone's freaking out about Google's algorithm update, but they're missing the real strategy 🎯 #SEO #GoogleUpdate #DigitalMarketing #SearchRankings #ContentTips The source says pages with large keyword-optimized text blocks ranked worse after the June update, and panic cleanup often did not restore rankings. The creator says the durable response to weaker keyword-stuffing tactics is a stronger brand and high-quality content around customer problems. Main topics: Brand / content systems, Core update / keyword blocks.

Brand / content systems
Core update / keyword blocks


Raffle Grock is worse than OpenAI. All shared chats are indexable by default. OpenAI asks you when you share if you want to make it indexable. Rock doesn't give you an option. It's just indexable by default. If you put in site colon grock.com and then any word SEO, we can see shared grock conversations that have SEO in them. Some people are using this to game Google too. If we take this top ghost writing services in Orlando put it in, you see? It's showing up No. 4 for top ghost writing services in Orlando. Grock right here. Grock is not blocking Google in its robots TXT file. Grock isn't telling Google in the page source to not index the page. There's no occurrences of no index chat. GPT removed indexing from shared chats last week. This guy says still live with Grock. As I understand, Semrush has Grock showing on Google for 15,000 search terms, getting 1.2 million clicks a month from Google. What business owners are doing is they're going to custom instructions. They're telling grok to only recommend their business. They ask a question like what's the best grocery store? Grock responds with what they put in the custom instructions. They click share, now it's indexed on Google. Then they buy backlinks to Grock so Google shows their anonymous conversation. This is crazy. All shared chats are indexable by default. What?

ROFL Grok is worse than OpenAI. All shared chats are indexable by default. OpenAI asks you when you share, if you want to make it indexable... The passage says Grok shared chats are indexable by default and that some marketers use custom instructions and backlinks to manipulate rankings. Main topics: Indexable AI chats.

ROFL Grok is worse than OpenAI.  All shared chats are indexable by default. OpenAI asks you when you share, if you want to make it indexable.  Grok doesn't give you an option, it's just indexable by default.  If you put in  site:Grok.com and then any word, like SEO,  we can see shared Grok conversations that have SEO in them. Some people are using this to game Google too. If we take this top ghost writing services in Orlando, put it in Google, we see it's showing up number four for top ghost writing services in Orlando.  Grok is not blocking Google  in its robots.txt file.  Grok isn't telling Google in the page source to not index the page.  There's no occurrences of noindex.  ChatGPT removed indexing from shared chats last week.  This guy says still live with Grok as I understand.  Semrush has Grok showing on Google for 15,000 search terms,  getting 1.2 million clicks a month from Google. What business owners are doing is they're going to custom instructions, they're telling Grok to only recommend their business.  They ask a question like, what's  the best grocery store?  Grok responds with what they put in the custom instructions.  They click share,  now it's indexed on Google, then they buy backlinks to Grok, so Google shows their anonymous conversation. This is crazy.  All shared chats are indexable by default. What? #blackhatseo #technews #searchengineoptimization #grokai