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@joshuamaraney TikTok profile avatar

@joshuamaraney

2026-03-04

AI visibility work depends on matching the right model, search surface, or answer format to the business outcome being optimized.

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Have you heard of LLM seeding before? If you haven't, let me explain it to you in simple terms. Traditionally, we have all fought to get on top of Google to get clickstar websites.

But things are changing.

People are going on to large language models such as chat, G P t, Gemini, Claude, Perplexity and a few others to get answers straight away. They're not leaving these large language models and they're not going to a website. They want the answers and they want the answers straight away.

So LLM seeding is basically a technique to write your content in certain ways that the large language models can read it easier.

And also it's a way to make sure that your content is published on certain places that these large language models traditionally go and look for. So your answers again can be shown on these large language models. If you want your content to be found, you have to write it in certain ways.

It has to be structured in certain ways.

For example, frequently asked questions, first person reviews, press releases, and then it has to be published on different ways that you're traditionally used to. So for example, YouTube videos, social media, Cora, Reddit and a few others. As we mentioned before, people are no longer fighting for rankings, they're fighting for citations.

And that is what LLM seeding is all about.

You have to find a way to seed Your information of your company into these large language models. The world of search is changing. And if your company wants to be relevant, you have to start investing in large language model seeding and getting on top of the AI models today.

Source Intelligence

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AI visibility work depends on matching the right model, search surface, or answer format to the business outcome being optimized.

AI visibility and answer readiness · asserts

  • Map each AI/search surface to a task: answer extraction, public copy, citation mining, checkout readiness, media generation, or customer-intent capture.

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What is this source mainly about?

AI visibility work depends on matching the right model, search surface, or answer format to the business outcome being optimized.

What should an operator take from it?

Map each AI/search surface to a task: answer extraction, public copy, citation mining, checkout readiness, media generation, or customer-intent capture.

Which topics does it connect to?

This source is connected to AI visibility and answer readiness.

What public evidence supports the record?

People are going on to large language models such as chat, G P t, Gemini, Claude, Perplexity and a few others to get answers straight away.