How-to
How to get your brand cited by ChatGPT and Perplexity
A step-by-step guide to earning citations in ChatGPT and Perplexity: answer-first pages, FAQ blocks, fact density, topical clusters, and crawler access.
To get cited by ChatGPT and Perplexity, publish crawlable, answer-first pages that resolve a specific question in one quotable passage, back it with facts and third-party mentions, and build topical authority around it. Here is the order that gets results fastest.
TL;DR in 60 seconds
- Lead every page with a one-sentence, quotable answer, then expand.
- Add FAQ blocks with self-contained 40-60 word answers a model can lift whole.
- Raise fact density and cite sources; specifics get quoted, fluff gets skipped.
- Build topical clusters so the engine reads you as an authority, not a one-off.
- Ensure crawler access: allow the bots and serve real HTML. If they cannot read it, they cannot cite it.
Step 1: make every page answer-first
Open with a bold sentence that answers the exact query on its own, no context required. Answer engines lift the resolving passage first, so put it where a model finds it immediately, then expand underneath with detail and nuance.
Step 2: add FAQ blocks that stand alone
People prompt engines in questions. Mirror those questions as headings, and write each answer to stand on its own in 40 to 60 words. Add FAQ schema so machines parse the pairs cleanly. Each answer should make sense quoted in isolation, with no "as mentioned above".
Step 3: raise fact density and cite sources
Replace vague claims with specific numbers, dates, and named references. Where you cite an industry figure, hedge honestly: for example, answer engines are estimated to influence 10-20% of B2B software purchasing decisions. Models prefer sources that read as precise and verifiable, and quote them more readily.
Step 4: build topical clusters and entity authority
One page rarely wins. Publish a cluster of related pages on a single subject and interlink them, so the engine reads your domain as an authority on the entity, not an occasional commenter. Keep your naming, definitions, and claims consistent across the cluster.
Step 5: earn third-party mentions
Models weight what the wider web says about you, not only your own copy. Pursue reviews, forum answers, directory listings, and press. A brand described consistently across independent sources is far more likely to surface than one that only describes itself.
Step 6: open the door to the crawlers
None of the above works if the bots cannot read the page:
- Allow the crawlers in
robots.txt: GPTBot, ClaudeBot, and PerplexityBot at minimum. - Server-side render key content. If it only appears after JavaScript runs in a browser, many crawlers miss it.
- Publish an
llms.txtfile as hygiene, pointing engines at your most useful pages. - Keep pages fresh. Update dates and facts; freshness signals a maintained, trustworthy source.
Step 7: test on Perplexity first
Perplexity gives the fastest feedback loop because it shows its sources openly and re-crawls quickly. Prompt it with your target questions, see whether you appear, adjust structure, and repeat within days. Use those wins to inform the slower-moving surfaces like Google AI Overviews and ChatGPT.
FAQ
How do I get ChatGPT to mention my brand?
Publish answer-first, fact-dense pages that resolve the exact questions buyers ask, allow GPTBot to crawl them, and build topical authority plus third-party mentions so the wider web corroborates you. ChatGPT weights reputation and structure heavily, so pickup is gradual and tracks your overall credibility rather than any single page.
Why does Perplexity cite me but ChatGPT does not?
Perplexity crawls and re-indexes quickly and shows sources openly, so a well-structured page can appear within days. ChatGPT leans more on established authority and third-party reputation, which build slowly. Seeing Perplexity citations first is normal; treat it as a leading signal that your structure works and keep compounding authority.
Do I need llms.txt to get cited?
No, it is not required, but it is worth adding as hygiene. An llms.txt file points engines toward your most useful pages, a bit like a sitemap for models. Crawler access in robots.txt, server-side rendering, and answer-first structure matter far more, so prioritise those first.
How long until I see citations?
On Perplexity, a well-structured page can be cited within days. On ChatGPT and Google AI Overviews, expect weeks to months, because those surfaces track broader topical authority and third-party reputation rather than reacting to a single new page. Consistency across a content cluster accelerates it.
Cadence runs this loop as continuous, agent-driven experiments, so you learn which structures earn citations and double down. See what answer engine optimisation is, AEO vs SEO vs GEO, and how to run growth experiments with AI agents.