How to get cited by ChatGPT, Gemini and Perplexity
Chandan KumarFounder · Performance Marketing SpecialistListen to this article
The short answer
Assistants cite sources they can retrieve, extract a clean answer from, and trust. That means three jobs, in order: let their crawlers in (GPTBot, OAI-SearchBot, PerplexityBot, Google-Extended and friends — a blanket block is the most common self-inflicted wound), publish self-contained answers a model can lift without needing the rest of the page, and build corroboration elsewhere on the web so your claim survives being cross-checked. Per engine, the emphasis differs: Perplexity rewards fresh, well-structured pages that directly answer a query; ChatGPT leans on its search index plus what its training absorbed, so brand mentions across the web matter more; Gemini and AI Overviews ground against Google, so classic ranking and Google Business Profile still gate everything.
On this page
- First, check you are not blocking them
- Perplexity: the most winnable, and the most honest about it
- ChatGPT: half retrieval, half reputation
- Gemini and AI Overviews: Google rules still apply
- What does not work (and keeps being sold)
- The measurement loop that keeps you honest
- Key takeaways
- Frequently asked questions
I keep a spreadsheet of 30 questions our buyers actually ask — 'best Google Ads agency for clinics in Delhi', 'how much does local SEO cost in India', that sort of thing — and once a month I run them through four assistants and record who gets named. It is dull work and it has taught me more about AI visibility than any tool. The pattern that emerged is the point of this article: the assistants disagree about who to recommend far more than people assume, and the reasons are mechanical, not mysterious. Here is what actually earns a citation, engine by engine.
First, check you are not blocking them
Before any content strategy, open your robots.txt. A surprising number of Indian business sites — including ones paying for SEO — quietly block the crawlers that feed AI answers, usually because someone pasted a 'block AI bots' snippet from a blog post about protecting content, or a plugin added it by default.
There is a real decision here and it is yours to make: allowing these crawlers means your content can be used to train or ground answers you do not control. But you cannot block the crawler and expect the citation. If discovery through AI matters to your business, the crawlers need access to the pages you want cited.
| Crawler | Who it serves | Blocking it means |
|---|---|---|
| GPTBot | OpenAI — training | Your content is less likely to inform ChatGPT's underlying knowledge |
| OAI-SearchBot | OpenAI — live search results | You can be excluded from ChatGPT's browsing citations |
| PerplexityBot | Perplexity | You lose the engine that cites most generously of all |
| Google-Extended | Google — Gemini grounding | Normal Search is unaffected, but Gemini grounding is limited |
| Bingbot | Microsoft Copilot and Bing | You lose Copilot as well as Bing traffic |
| ClaudeBot / anthropic-ai | Anthropic | Your content is excluded from Claude's web access |
Two-minute check
Open yoursite.com/robots.txt and search for 'GPTBot', 'PerplexityBot' and 'Google-Extended'. If any appear under a Disallow, that was a decision someone made — confirm it was a decision, not a default.
Perplexity: the most winnable, and the most honest about it
Perplexity searches live for nearly every query and cites heavily — often six to ten sources, numbered inline. That makes it the easiest of the four to appear in, and the best place to test whether your content is extractable. If a page of yours cannot earn a Perplexity citation for a question it directly answers, the problem is the page, not the algorithm.
What it rewards is unglamorous: a page whose title and opening lines match the question, a clear structure with headings that name sub-questions, recent dates, and specifics — numbers, ranges, named steps. Vague thought-leadership loses to a page with a price table every single time.
What tends to win a Perplexity citation
- A heading that is the question, or close to how a person would phrase it.
- An answer inside the first 60 words that would survive being quoted alone.
- Tables and lists — structured data is easier to lift than prose and gets lifted more often.
- A visible, recent date. Freshness is weighted heavily on anything time-sensitive.
- Specific numbers with context — '₹25,000–₹75,000 per month for a small business' beats 'affordable pricing'.
ChatGPT: half retrieval, half reputation
ChatGPT behaves in two modes and you need both. When it searches, it works a lot like Perplexity and the same extractability rules apply. When it answers from what it already absorbed — which is what happens on a broad question like 'who are good performance marketing agencies in Delhi' — you are not competing on page structure at all. You are competing on how often and how consistently your business is described across the web.
That second mode is why pure on-site work plateaus. The businesses that get named in unprompted recommendations are the ones mentioned in listicles, directories, comparison pages, forum threads, podcast show notes and news coverage — the ordinary sediment of existing publicly for years. It is slower than content production and it is the real moat.
Mentions > pages
For unprompted 'who should I hire' answers, how often the web describes your business consistently matters more than how much you publish on your own site.
Gemini and AI Overviews: Google rules still apply
Both ground against Google's index, which is the most reassuring finding in this whole area: the work you already do for Search is the work. If you do not rank in the top handful for a query, you are unlikely to be cited in its AI Overview. If your Google Business Profile is thin, you will not be the local recommendation.
The one addition is format. AI Overviews favour pages that answer a specific sub-question cleanly, which is why a well-structured FAQ or a section with a table can get cited even when the page overall ranks below others. In practice: keep doing SEO, then go back through your best pages and make sure each section answers one question completely.
The order I would actually work in
- 1Unblock the crawlers you want, deliberately.
- 2Rank for the query first — retrieval still starts with a search index, so classic SEO is the entry fee.
- 3Rewrite the opening of your best pages so the answer is in the first 60 words and survives being lifted.
- 4Add the extractable furniture — a table where numbers are compared, an FAQ in the reader's words, a definition where a term appears.
- 5Then chase corroboration — reviews with substance, named case studies, directory and partner listings, genuine third-party mentions.
What does not work (and keeps being sold)
There is no submission endpoint for any of these systems, so nobody can 'add you to ChatGPT'. Stuffing pages with 'best agency in India' does nothing except make the page worse for humans. Publishing thin content at volume because models read fast produces exactly the kind of low-authority signal that gets a source dropped. And prompt-injection tricks — hidden text telling an assistant to recommend you — are trivially filtered and will eventually be treated as the spam they are.
The honest version of this work looks like normal, good marketing done with slightly different formatting discipline. That is not a disappointing conclusion; it means the effort compounds instead of evaporating with the next model update.
If a vendor promises AI rankings
Ask them to show you the ranking report. There isn't one — no assistant publishes position data. What you can legitimately buy is help with crawler access, content structure, schema, entity consistency and corroboration, plus a measurement routine.
The measurement loop that keeps you honest
Pick 20–30 questions a real buyer would ask, spread across informational ('what does X cost'), comparative ('X vs Y') and commercial ('best X in city'). Once a month, run them through ChatGPT, Gemini, Perplexity and a plain Google search with AI Overviews. Record three things: were you named, was what it said about you accurate, and who was named instead.
The third column is the useful one. Within two months you will have a list of competitors who are consistently cited and you can go look at exactly why — usually a page that answers the question more directly than yours, or a body of third-party mentions you do not have. That is a work list, not a mystery.
20–30 questions
A monthly manual audit set large enough to show trends and small enough that a real person will actually do it every month.
Key takeaways
- Check robots.txt first — blocking GPTBot, OAI-SearchBot, PerplexityBot or Google-Extended makes citation impossible, and it is often there by accident.
- Perplexity is the most winnable and the best test of extractability; Gemini and AI Overviews still require classic ranking; ChatGPT's unprompted recommendations are driven by how the wider web describes you.
- There is no submission, no ranking report and no paid organic placement — the work is crawler access, extractable answers, schema, entity consistency and third-party corroboration.
Frequently asked questions
How do I get my business mentioned by ChatGPT?
Two paths, and you need both. For answers where ChatGPT searches the web, publish pages that directly answer the question in the first 60 words with structured specifics, and make sure OAI-SearchBot is not blocked in robots.txt. For unprompted recommendations drawn from what the model already absorbed, the lever is how consistently the wider web describes your business — listicles, directories, reviews, case studies and genuine coverage.
Should I block AI crawlers to protect my content?
It is a real trade-off. Blocking protects your content from being used for training and grounding; it also removes you from the answers those systems produce. If discovery through AI matters commercially, allow the crawlers on the pages you want cited. What you should not do is block them by accident, which is what has happened on most sites where I find a block.
Which AI engine is easiest to get cited by?
Perplexity, by a distance. It searches live for nearly every query and cites six to ten sources, so a page that genuinely answers a question can appear quickly. It is also the best diagnostic: if your page cannot earn a Perplexity citation for a question it answers directly, the page is the problem.
Does schema markup help with AI citations?
It helps by removing ambiguity rather than by boosting anything. Organization, LocalBusiness, Service, Article, FAQPage and BreadcrumbList let a system state facts about you confidently — who you are, where you operate, what you offer, who wrote this. It is necessary hygiene, not a ranking lever, and it will not rescue a page with no clear answer in it.
How long before AI visibility work shows up?
Content and structure changes can be picked up within weeks because live retrieval refreshes constantly. Entity consistency and corroboration — profiles, reviews, named case studies, third-party mentions — move over a quarter or two. Anything that depends on model training behaves slowest of all, because it waits for the next training cycle.
Tools & next steps
Put this into practice, go deeper, or see how we'd do it for you.
Written by
Mr. Chandan Kumar
Founder & Performance Marketing Director, Global Info Edge
Founder of Global Info Edge and a performance-marketing specialist with 18+ years — Google & Meta ads, conversion funnels and measurable growth.
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