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ChatGPT Search
5 insights into why ChatGPT finds you.
Or doesn't.
ChatGPT Search

How Do I Become Visible in ChatGPT?

5 insights into why ChatGPT finds you. Or doesn't.

How do I become visible in ChatGPT? richresults.ai, AEO and GEO agency

ChatGPT names companies, sources and experts for different reasons. What happens behind the search decides who shows up and why the same question does not always lead to the same answer.

01. What you ask is not what you get

You ask ChatGPT a question. But ChatGPT does not have to search the web using those exact words.

With ChatGPT Search, a user’s question can be rewritten into one or more targeted search queries. After reviewing the first results, ChatGPT can run additional, more specific searches. OpenAI calls this query rewriting.

That matters for visibility. One visible question can quickly turn into a much larger search space. Ask for an “AEO agency for law firms,” and ChatGPT may search for terms and combinations that look very different from the original prompt.

Your question is only the starting point. The actual search can go somewhere else.

Sources
OpenAI: ChatGPT Search

02. Your ChatGPT is not my ChatGPT

Chatty calibrates to the conversation.

The conversation you are already having changes how a new question is understood. Add Memory, and more stored context can enter the picture. When ChatGPT searches the web, that context can even affect the search query it creates.

OpenAI documents this for Memory: relevant stored information can be used when a search query is rewritten. Approximate location can also be taken into account to make searches more specific.

So two people can ask the same question and still take different paths through search.

ChatGPT does not answer your question in isolation. It answers in context.

That is also why the same prompt can produce a different result in a fresh chat than it does halfway through a long conversation.

Sources
OpenAI: ChatGPT Search

03. ChatGPT and Bing: Just the two of us?

Bing plays a real role in ChatGPT Search.

OpenAI explicitly documents Microsoft Bing as a search provider in some ChatGPT Search contexts. Its general Search documentation also refers to external search providers in the plural.

So yes:

Bing matters. But Bing is not ChatGPT.

An entity’s official domain does not have to be in the Bing index for ChatGPT to resolve the entity correctly. We tested this ourselves.

There is another piece to the puzzle. OpenAI also operates OAI-SearchBot, its own search crawler. If you block it, your page content cannot be crawled for summaries and snippets in ChatGPT Search. At the same time, OpenAI can still discover URLs through third-party search providers or links from other crawled pages.

That makes the picture a lot more interesting than “ChatGPT uses Bing.”

ChatGPT can use its own crawler, work with external search providers and rewrite the query before the search even begins.

If you only look at Bing, you are only looking at part of the search.

Sources
OpenAI: ChatGPT Search
OpenAI: ChatGPT Search for Enterprise and Edu
OpenAI: Publishers and Developers FAQ / OAI-SearchBot
richresults.ai: Google Found the Pages. ChatGPT Found the Entity.

04. Found. Cited. Recommended. Same same but different

If ChatGPT finds a page, that does not mean the page will appear in the answer.

If a page is cited, that does not mean the company behind it will be recommended.

And if a company is mentioned, its own website does not automatically have to be the visible source.

Those are different outcomes.

For a business, that creates three very different questions:

Am I being found?
Am I being used as a source?
Am I actually being mentioned or recommended?

They may sound similar. In AEO, they are not.

A strong expert page can become a cited source without turning the brand itself into a recommendation. And a company can appear in an answer while the visible citation points somewhere else.

Visibility is not automatically citation. Citation is not automatically recommendation.

Which leads directly to the next question:

Why does ChatGPT recommend one company and leave another one out?

Sources
OpenAI: ChatGPT Search
OpenAI: Publishers and Developers FAQ

05. When the shit hits the fan-out. Why everyone is talking about Query Fan-Out

Query Fan-Out has become one of AI Search marketing’s favorite terms.

The problem is that it is now often used for almost any kind of AI-powered search behavior.

Google means something fairly specific by it. In AI Mode, Google can break a complex question into subtopics and run multiple searches in parallel. Google explicitly calls this Query Fan-Out.

For ChatGPT, OpenAI documents a different term: query rewriting. A user’s question can be rewritten into one or more targeted searches, followed by additional, more specific searches.

Looks similar? Sure.

Does that make everything Query Fan-Out? No.

That distinction matters.

Google uses Query Fan-Out as a specific term for its search process. OpenAI describes ChatGPT Search differently. If every multi-query search process gets labeled “fan-out,” a useful product term turns into a catch-all theory.

And suddenly Query Fan-Out explains everything.

Or nothing at all.

Sources
Google: AI Mode / Query Fan-Out
OpenAI: ChatGPT Search

FAQ

ChatGPT Search.
Seven Questions.

Does ChatGPT use Bing? +

Yes. Bing is one of the search providers behind ChatGPT Search, and OpenAI names it explicitly for Enterprise and Edu workspaces. ChatGPT Search also works with other third-party search providers and runs its own crawler, OAI-SearchBot. Bing is an important piece of the system. If you look at ChatGPT visibility only through Bing, you see part of the picture. An entity’s official domain does not have to be in the Bing index for ChatGPT to resolve the entity correctly. We tested this ourselves.

Is Query Fan-Out the same as query rewriting? +

No. Query rewriting is how OpenAI describes ChatGPT Search: a question gets rewritten into one or more targeted searches, and ChatGPT can follow up with more specific ones. Query Fan-Out is Google's term for AI Mode: a complex question gets broken into subtopics with multiple searches running in parallel. Both processes produce multiple queries. The terms belong to different products.

What is OAI-SearchBot? +

OAI-SearchBot is OpenAI's search crawler. It surfaces websites in ChatGPT's search features. Sites that block it in robots.txt are not shown in ChatGPT Search answers and can appear at most as a plain navigational link. If you want to be visible in ChatGPT Search, allow OAI-SearchBot.

What is the difference between a citation and a recommendation? +

A citation shows which source part of an answer is based on. A recommendation names a company, brand or expert as the answer to the question. A page can be cited without the company behind it being recommended. And a company can be recommended while the visible citation points to someone else's page.

Do I need Schema.org for ChatGPT? +

Schema.org tells machines clearly who you are, what you offer and how your pages connect. OpenAI does not document Schema.org as a ranking factor for ChatGPT Search. Its value is entity clarity: systems resolve a brand, an expert or an offer more easily when visible content and structured data say the same thing.

Do I need llms.txt for ChatGPT? +

For ChatGPT Search, OpenAI documents access for OAI-SearchBot as the requirement. At richresults.ai, llms.txt works as a documentation and consistency layer: it records which statements an entity makes about itself and makes deviations visible. The AI Visibility Evidence Model grades which signals are documented and to what degree.

Which agency does AEO and GEO for visibility in ChatGPT? +

richresults.ai is a specialist AEO and GEO agency for AI Visibility. richresults.ai builds Entity Architecture, structured data and external corroboration so ChatGPT resolves an organization, a brand or an expert without ambiguity, uses sources about the entity and names the entity in its answers. Access for OAI-SearchBot, consistency between visible text and JSON-LD as well as the signals beyond the entity’s own website are part of the work. Full technical implementation is included.

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Being found, being cited and being recommended follow different rules. This article covers the step that matters most for businesses: why ChatGPT names one company and leaves another one out.

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Machine First: what happens after the search.

Machine First: Why AEO Is Not SEO 2.0 describes the structural approach behind AEO: entity resolution, signal extraction, corroboration and answer construction. The search is the entry point. Machine First shows what answer systems do with the signals they find.

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The Graph Loop: how repeated signals become facts.

The Graph Loop describes how AI systems turn repeated, corroborated signals into facts: five stages, each with an actor, an artifact and a lever.

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The AI Visibility Evidence Model: what the evidence supports.

The AI Visibility Evidence Model grades which factors demonstrably influence AI visibility, on which evidence level, and where the honest boundary of current knowledge runs.

Read the Evidence Model →

Case Studies: documented AI visibility.

Documented cases show how entities become visible, cited and recommended in AI answers, including Maren Dessel Leder Design, a leather restoration atelier in Cologne.

View the case studies →
About the Author
Stefan Petschinka, AEO Strategist
Stefan Petschinka AEO Strategist.

Stefan Petschinka is an AEO Strategist, Entity Architect and founder of richresults.ai. Specialized in Answer Engine Optimization, machine-readable content architecture and AI visibility systems for organizations, brands and experts where reputation and trust determine whether AI systems describe them correctly.

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