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How to get your brand cited by ChatGPT (and the other AI assistants)

Published 4 Aug 2026

In short

Three recurring readiness and evidence gaps are worth checking first: whether AI crawlers can read your site at all (many sites block them by accident), whether your pages carry a direct, quotable, sourced answer to the questions your buyers ask, and — for competitive queries — whether your brand appears in the third-party sources already cited for them: review sites, comparison posts, and community threads. None of the three guarantees a citation, and none is universally required for one. The next runs are what report whether anything moved.

Step 1 — Make sure AI can read you at all

This is the unglamorous step that disqualifies more sites than anything else. For ChatGPT specifically the crawler that matters is OAI-SearchBot, the one behind ChatGPT Search — GPTBot is the training crawler and blocking it is a separate publisher choice with no effect here. Two silent killers, then: a robots.txt that disallows OAI-SearchBot, and CDN bot protection — Cloudflare and similar services now block AI crawlers at the door by default on many plans, invisibly to you.

  • Open yourdomain.com/robots.txt and check no AI user-agent is disallowed (unless you chose that deliberately).
  • If you're behind Cloudflare, check the AI-crawler setting — "block AI bots" on means this entire playbook is moot.
  • Server logs (or a crawler tracker) tell you which bots actually arrive. OAI-SearchBot is the one to look for here — it is the crawler behind ChatGPT Search. GPTBot is the training crawler, so its absence says nothing about whether ChatGPT can retrieve your pages.

Step 2 — Write pages engines can lift

Assistants compose answers from passages, and they prefer passages that already look like answers. The pattern that works: the question as a heading, a direct 2–3 sentence answer immediately below it, then the supporting detail. Marketing prose ("In today's fast-paced digital landscape…") gets skipped; concrete claims get quoted.

  • Answer first, elaborate second — on every page that targets a question.
  • Name numbers and sources: "reduces setup time about 40% (based on our 2026 onboarding data)" beats "blazingly fast setup".
  • Keep pages fresh and dated — engines favor recency, and a visible "updated" date is a trust signal for humans too.
  • Add FAQ and Organization structured data so machines can parse who you are and what you answer.

Step 3 — Be present where engines actually look

Ask ChatGPT or Perplexity a competitive "best X" question and look at the citations: they're rarely vendor homepages. They're review aggregators, "top 10" comparison articles, Reddit threads, and industry publications. For competitive queries, that is where the evidence an assistant draws on actually sits — which makes earning mentions there part of the job, not just polishing your own site.

  • Run your target questions and write down every domain the engines cite. That list IS your outreach plan.
  • Get listed in the category comparisons and directories that keep appearing (honestly — as a real listing, not spam).
  • Participate genuinely where your category is discussed (Reddit, niche forums); community threads are one of the shapes that show up in citations — your own citation-source list shows whether they do for your category.
  • Publish something citable — original data, a benchmark, a genuinely useful free tool — because sources link to sources.

Step 4 — Measure, don't assume

AI answers vary run to run, so a single spot-check tells you little. Track a fixed set of questions across engines on a schedule, record mentions and citations, and treat the trend — not any single answer — as the signal. When you ship a fix, re-check the same questions and compare. That before/after is the only honest proof this work is paying off.

This measurement loop is what Promvia automates across seven engines, with a GEO audit that finds the on-site gaps and re-checks that verify each fix. You can start free and see your baseline in about a minute.

Frequently asked questions

How long until changes show up in ChatGPT?

For models with live browsing (ChatGPT with search, Perplexity, Gemini) changes can surface within days of a re-crawl. Answers drawn purely from training data change only when models are updated — which you can't schedule. Fix the on-site part, keep earning mentions, and measure weekly.

Do I need llms.txt?

It's cheap to add but there's no evidence major engines consume it yet — treat it as a low-cost bet, not a strategy. We wrote an honest guide on exactly this.

Should I block AI crawlers instead, to protect my content?

That's a legitimate business choice — but it's the opposite trade of this playbook: blocked crawlers can't cite you. Decide deliberately, not by CDN default.

Does paid advertising affect AI answers?

Not directly today. Assistants synthesize from organic sources. Ads may indirectly help by driving the brand searches and reviews that create source material.

See where you stand today

Run your questions across seven AI visibility surfaces and get your baseline — small runs often finish in about a minute. Free plan, no credit card.

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Keep reading

What is Generative Engine Optimization (GEO)? →How AI assistants choose which sources to cite →llms.txt: what it is, and what it actually does (an honest guide) →