How to get cited in AI search
To get cited in AI search, publish an accessible page that answers a specific question with evidence another reader can check. Then test the same questions across engines and keep the sources behind each answer. Crawler access makes retrieval possible; it does not guarantee selection, a recommendation or a click.
Citation vs mention: choose the outcome first
If an answer names your product, that is a mention. If it links to your page as evidence, that is a citation. Neither proves a purchase or even a visit. Decide which outcome matters before changing the page: a support article may earn useful citations without recommending its publisher, while a buying guide may name a brand and link to an independent reviewer.
For an illustrative example, an engine might answer a compatibility question with a link to your documentation. That is a citation even if your company name never appears in the answer. Record the question, answer and linked URL so another person can verify your classification. The brand mention tracking method explains the separate counts.
Establish the shared technical baseline
Start with the page you want cited, rather than only the homepage. Work through these checks before rewriting its introduction:
- Fetch the canonical URL without signing in. Confirm a successful response and useful content rather than a challenge, soft error or redirect loop.
- Read robots.txt for the relevant search agent, then check whether the CDN or firewall blocks verified requests. A matching user-agent string alone does not establish a crawler's identity.
- Inspect the initial HTML. The answer, supporting facts and links should be readable without interacting with a widget.
- Review indexing, canonical and snippet controls against your publishing intent. Do not remove privacy controls from pages that should stay private.
- Link the page from a relevant public guide or category. Keep the sitemap aligned with the preferred URLs.
The GEO audit checklist and free AI visibility checker provide a starting point. A successful generic fetch does not prove that the real engine gets through your firewall; inspect verified crawler traffic as a separate observation.
Compare the engine-specific routes
The controls below describe documented access routes, not a ranking formula. Recheck the linked operator documentation before changing a policy.
| Engine or surface | Access to review | Evidence to retain |
|---|---|---|
| ChatGPT search | OAI-SearchBot rules and network access; GPTBot training permission is separate | Answer citations, plus consulted sources when available in the API |
| Perplexity | PerplexityBot for search; Perplexity-User for user-requested visits | Numbered links in the app; returned search results and answer citations in API checks |
| Gemini app | Google indexing and the Google-Extended policy for relevant grounding uses | The answer and whatever sources it exposes; record missing sources explicitly |
| Google AI Overviews and AI Mode | Googlebot access, indexing and snippet eligibility; these are Google Search surfaces | The actual Search surface and its supporting links, separately from Gemini app checks |
| Claude web search | Claude-SearchBot for search and Claude-User for requested retrieval; ClaudeBot is separate | Answer text and web search citations, with the request settings |
Google explicitly says AI Overviews and AI Mode need no special optimization beyond its usual search requirements. Do not turn the Gemini row into a claim that one robots token controls all Google AI experiences. Use how to get cited by ChatGPT, how to get cited by Perplexity and the AI crawler list for implementation details.
Write passages that can stand on their own
These are editorial practices for making evidence easier to inspect, not measured promises about citation rates.
- Put a direct answer below the relevant heading. Name the product, location, version or condition needed to understand it without the rest of the page.
- Keep qualifications beside the claim. A price without its currency, billing period and date is easy to misread when extracted.
- Use a table for a real comparison and ordered steps for a procedure. Explain the decision each row or step helps the reader make.
- Publish original evidence where you have it: a reproducible test, a documented method, a working example or a clearly scoped dataset.
- Show the author or reviewer and the review date. Update that date when the evidence is reviewed, rather than changing it automatically every day.
For a compatibility page, for example, give the supported version, the steps you tested and the limits of the test. That is more useful to a reader investigating a specific error than a generic claim that a product works everywhere.
Make off-site facts consistent and checkable
Search answers can cite other publishers when describing your business. Check whether public documentation, official profiles and legitimate partner listings agree on your name, product scope and contact details. Correct mistakes where you control the record; offer a factual correction to independent publishers where appropriate.
Earn corroboration by publishing something worth referring to. Do not invent reviews, statistics or customer endorsements to create apparent consensus. An independent source may disagree with your positioning; treat that as evidence to understand, rather than something your own page can override with instructions to an AI.
Measure changes with a fixed prompt set
Choose questions before making changes. Include discovery questions that do not name you, comparisons and factual questions about your offer. For each completed answer, retain the exact wording, engine, surface, model or mode, market, date, answer and cited URLs. Report failed requests separately.
Keep an unchanged baseline, make a documented page edit, then repeat the same questions over several runs. An illustrative result of 4 cited answers out of 20 is a sample, not a claim about every user's experience. If the engine retrieves your page but cites another one, inspect the competing passage for missing evidence. If it never retrieves your page, investigate access and relevance first. A retrieved result alone is not a citation.
Compare each engine separately before combining counts. Changing the prompt mix or moving from the app to an API creates a different measurement. The four tracking guides explain how to preserve that context.
What does not establish citation readiness
Hidden instructions, invented ratings and copied pages do not create trustworthy evidence. Neither does buying an audit score or repeatedly asking an engine to mention you. A checker can identify visible technical issues; it cannot observe every retrieval decision or sell guaranteed placement.
Use schema only for facts shown on the page; see schema markup for AI search. Treat llms.txt as an optional navigation file, with the limits explained in Does llms.txt work?. Budget for API sampling separately from free manual checks.
Related guides
- Track brand mentions in AI search, then inspect ChatGPT, Perplexity and Gemini separately.
- Use the engine checklists for ChatGPT citations and Perplexity citations.
- Compare Ahrefs Brand Radar alternatives when you need a measurement platform, or start with the free AI visibility checker.
Sources
- OpenAI: Overview of OpenAI crawlers
- Perplexity: Crawlers
- Google Search Central: AI features and your website
- Google: Common crawlers and Google-Extended
- Anthropic: Crawlers and site-owner controls
Reviewed on 2026-10-26. Access rules are documented by the operators; the editorial checklist is our practical guidance, not a tested ranking model or a citation guarantee.
Frequently asked questions
Can I guarantee a citation in AI search?
No. Access, index eligibility and useful content are prerequisites you can work on, but each engine decides which sources to use for a particular question. Check repeat samples rather than selling a guaranteed position.
Do I need special schema or an llms.txt file to get cited?
Neither is a universal citation requirement. Use structured data that accurately describes visible content. An llms.txt file may help compatible tools navigate documentation, but it cannot replace crawlable pages or evidence that answers a question.
Is a brand mention the same as a citation?
No. A mention names the brand; a citation links to a source. A page can support a factual answer without its publisher being recommended. Measure mentions and citations separately.
Should I test the apps or their APIs?
Use app checks to inspect a particular user experience and APIs for repeatable samples with recorded settings. Keep the two series separate because models, personalization and retrieval can differ.