Short answer
ChatGPT names a business when it can find clear, consistent and well-supported information about it. To become citable: allow OAI-SearchBot in robots.txt, publish pages that answer one question outright in their opening lines, and build accurate third-party evidence through reputable reviews, directories and coverage. Measure ChatGPT separately from Google's AI Overviews because the two surfaces expose and select sources differently.
Looking specifically at Perplexity? Read our dedicated guide to getting cited by Perplexity.
Why citation is a different game from ranking
A search result presents links, while an AI answer synthesizes information into a direct response. Citation work therefore asks a different question from rank tracking: whether the business is named, how it is described, and which page is linked as evidence.
The mechanics differ by engine, and the difference matters for where you spend your effort. Google is explicit about its own: to be shown as a supporting link in AI Overviews or AI Mode, a page must be indexed and eligible to be shown in Google Search with a snippet — the same foundations as classic SEO, with no additional technical requirement. ChatGPT Search can surface and cite web pages through its own search experience, so Google page-one placement is not a documented prerequisite for appearing as a ChatGPT source.
The practical consequence: if you only optimize for Google rankings, you compete for AI Overviews and ignore the assistants entirely. They are separate channels that happen to read the same web.
The discipline that covers the second channel has a name — Generative Engine Optimization, usually shortened to GEO. It is not a rebrand of SEO. It targets a reader that quotes rather than links, and it is judged on whether you get named, not on where you sit in a list. Google now runs two distinct AI surfaces of its own, AI Overviews and AI Mode, alongside the assistants — so "how to appear in AI search results" is really four questions, not one.
Training and retrieval crawlers are different
There are two families of AI crawler and they do completely different things. Training crawlers collect pages to build future models. Retrieval crawlers fetch pages live, at the moment a user asks a question, to ground the answer being written. Blocking one has nothing to do with blocking the other.
- Training —
GPTBot,ClaudeBot,Google-Extended. Blocking these keeps your content out of future model weights. It does not remove you from answers. - Retrieval and citation —
OAI-SearchBotfor ChatGPT Search andClaude-Userfor user-requested Anthropic retrieval. Blocking the relevant bot prevents that provider from fetching the page through that route. - Neither, exactly —
Claude-SearchBotindexes for search quality rather than fetching at question time, andChatGPT-Userhandles user-triggered actions. OpenAI's documentation is blunt about the second one: "ChatGPT-User is not used to determine whether content may appear in Search."
The split is not symmetrical between providers, which is exactly why copied blocklists go wrong. OpenAI exposes two robots.txt levers and documents OAI-SearchBot as the crawler that controls automated search discovery and eligibility to be surfaced in ChatGPT Search. Anthropic documents three bots, and the one that matters for being quoted is Claude-User — disabling it, in their words, "prevents our system from retrieving your content in response to a user query."
LYVIA most often observes this self-inflicted problem when auditing crawler access. A business decides it does not want its content used for AI training, copies a blocklist from a blog post, and takes out the retrieval bots along with the training ones. The intent was reasonable. The result can prevent that provider from retrieving the page directly through that route, reducing its chance of being used as a source.
One clarification worth having in writing, because it catches people out: Google-Extended does not remove you from AI Overviews. It governs training and grounding in Google's other systems. To limit what Search itself displays, Google points to the snippet controls — nosnippet, data-nosnippet and max-snippet — and those cut your ordinary search snippets at the same time.
Why third-party pages matter alongside your own
A large vendor study provides one time-bounded view of third-party citation behavior. Seer Interactive analyzed 804,491 AI responses across 1,926 brands on four AI platforms. Review and trust sites came out as the second-largest citation source overall — and their share grows 10 to 20 times between the awareness stage and the moment someone is ready to buy. In that sample, review and trust-site citation share increased as prompts moved closer to a purchase decision.
The same study graded brands into tiers built on Trustpilot profiles and found that the fully optimized ones picked up 9.5 times more co-mentions than brands with no verified active profile — meaning they get named when someone asks about a competitor. Read the multiplier for what it is: measured on one platform, and earned by a complete profile rather than by merely having one. It is still a competitive visibility channel you cannot buy on your own domain.
LYVIA uses this result as evidence that independent corroboration deserves a place in a visibility plan. It does not prove a universal source weight or reveal how every model ranks evidence.
In Seer Interactive's sample, review and trust sites became more prominent closer to purchase. A domain-only plan therefore omits a source category that the study observed growing at that stage.
None of this makes your own site pointless — it is where the detail lives, and it is what a curious buyer opens after the assistant names you. But it does change the order of work. Claim and complete the listings first, then make your own pages the place that resolves the details.
LYVIA's citation-readiness framework
LYVIA uses a three-part audit framework for citation readiness. It is an operational heuristic, not a published ranking system: retrievability, extractability and corroboration.
- Retrievability — the retrieval crawlers can reach the page, render it, and read the answer without executing your JavaScript to find it.
- Extractability — the answer to the question exists as a self-contained passage, not as a conclusion the reader is expected to assemble from six paragraphs.
- Corroboration — the same claim about you appears somewhere you do not control.
In LYVIA audits, extractability is a recurring failure mode. Good marketing prose builds to its point. If someone asks "what does this company charge" and your pricing is only implied across several paragraphs, the answer is harder to extract reliably. State the answer first, then justify it.
The technical checklist
None of this is exotic. It is the same discipline as technical SEO, applied to a different reader.
- Audit
robots.txtfor ChatGPT Search specifically — confirmOAI-SearchBotis allowed, whatever you decide about training. - Serve the substance server-side. If a passage only exists after hydration, assume it is not being read.
- Mark up what you are:
Organization,Service,FAQPagewhere genuine. Structured data does not force a citation, but it removes ambiguity about what your page is claiming. - Write one question per heading and answer it in the first two sentences underneath.
- Date your pages and keep the dates honest. A stale date on fresh content is worse than no date.
- Claim your listings on the platforms that serve your category, and get real reviews on them.
How to know whether it worked
You cannot check this in Search Console — AI assistant citations do not appear there. LYVIA's working method is to define a representative set of questions a buyer would ask before choosing someone like you, test them across ChatGPT, Gemini and Claude, and record who gets named. Repeat the same set on a fixed cadence, often monthly. This is our operational rule of thumb, not an industry benchmark.
Track Perplexity with its own prompt set and citation fields using the Perplexity visibility guide, rather than combining unlike engines into one score.
Two warnings, both learned the hard way. Answers vary between runs for the same prompt, so a single check proves very little — run each question more than once before you conclude anything. And personalized or logged-in sessions skew results; use a clean session.
Frequently asked questions
Does blocking GPTBot stop ChatGPT from recommending my business?
Blocking GPTBot tells OpenAI not to crawl your pages for potential model training, but it does not control whether ChatGPT Search can cite them. OpenAI documents a separate crawler for search visibility: OAI-SearchBot. OpenAI also states that ChatGPT-User is not used to determine whether content may appear in Search. Training access and search visibility are therefore separate site-owner decisions.
Do I need to rank on Google page one to be cited by AI?
It depends on the engine. For Google AI Overviews and AI Mode, Google states that a page must be indexed and eligible to be shown in Search with a snippet — the same foundations as classic SEO, with no additional technical requirement. ChatGPT can search and cite web pages without requiring them to rank on Google page one. The two channels reward different things and need separate measurement.
Is there a way to opt out of AI Overviews specifically?
Not on its own. Google-Extended controls training and Gemini grounding, but it does not remove you from AI Overviews. What does apply is snippet control: nosnippet, data-nosnippet and max-snippet limit what Google can display, including in AI Overviews. The trade-off is that the same directives also shrink your regular search snippets.
How long before AI assistants start naming us?
There is no guaranteed timetable. In LYVIA engagements, revised pages sometimes begin appearing within weeks while broader third-party authority work can take months, but that is a rule of thumb from our own work, not a published benchmark or promise. Establish a prompt-level baseline, record each page change, and repeat the same checks on a fixed cadence.
If you want this done rather than explained, that is our job — we run the baseline, fix the technical blockers, and build the off-site presence that makes the citations stick. Book a call and we will tell you where you currently stand.
