This is all from one ChatGPT prompt. ChatGPT is doing 7+ searches. It's doing all of these searches in a search engine.
It starts with a broad search like this, then it goes deeper into each company that it found. It's using the site colon search operator to search websites of the companies it found in its original search. This is all from a normal single ChatGPT prompt.
This is all from a single perplexity prompt. It's the same pattern, the initial searches, then perplexity goes deeper into the companies that it found.
It is clear what to do. First, find the searches and LLM is doing so it will come across your brand in the first place. Then put a ton of content on your site.
Spread reviews around. Make it very easy for an LLM to learn why you are a good fit.
These types of pages are killing in large language models. They are doing super well. They target a specific scenario that the LLM will come across.
Then there's lots of documentation about why the company is a good fit for that scenario.
Take your reviews, put them in these places: YouTube, Facebook, Instagram, TikTok, X. These are the most clicked websites from Google Search. When you have reviews here, the LMS find them while doing due diligence.
These landing pages target the initial searches while explaining why you're a good fit. The reviews on these platforms show up for the external due diligence searches. This is what causes an LLM to recommend your brand.
Learn how to make these pages that target the searches LLMs do, pages that are built for conversions, at compactkeywords com.
