Knowledge Hub

LLM Discovery

Before an AI system can recommend your business, it has to discover it, retrieve information about it, understand what it found, and decide whether it trusts it enough to include it in an answer.

This section explains how that process works.

There is a lot of misinformation floating around about AI discovery. Some people talk as if ChatGPT has one giant database of every business on Earth. Others assume AI simply reads your website every time someone asks a question.

Reality is much more interesting.

AI systems don't discover businesses through magic. They rely on crawling, indexing, retrieval, structured information, trusted sources, and well-documented entities.

What You'll Learn

The pages in this section explain the technical concepts behind AI discovery in plain English. You don't need to be an engineer to understand them, but understanding them will help you build a business that's easier for AI systems to find and recommend.

How LLMs Discover Businesses

An overview of how modern AI systems become aware of businesses and organizations.

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LLM Crawlers

Learn about the crawlers AI companies use to discover and refresh publicly available content.

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AI Crawling

Understand how AI crawling differs from traditional search engine crawling.

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Robots.txt and AI Bots

How robots.txt affects AI crawlers and what businesses should know before blocking them.

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AI Indexing

What indexing means in the age of AI and why discoverability depends on it.

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Retrieval-Augmented Generation (RAG)

How AI systems retrieve external information before generating answers.

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Embeddings

Why AI understands meaning instead of simply matching keywords.

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Vector Search

How semantic similarity helps AI retrieve relevant information.

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Content Freshness

When freshness matters, when it doesn't, and how AI evaluates changing information.

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AI Content Understanding

How AI systems interpret pages, relationships, entities, and context instead of isolated keywords.

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Why This Matters

Here's what we've learned.

Most businesses don't have a visibility problem because AI is ignoring them.

They have a visibility problem because AI can't easily discover, understand, or verify enough information about them.

Once you understand how LLM discovery works, decisions about Technical SEO, AI Visibility, Knowledge Catalogs, and AI Search Optimization start making a lot more sense.

You don't optimize for AI by chasing tricks. You optimize by making your business easier to discover, understand, and trust.