How to get cited by ChatGPT
ChatGPT cites few sources and prefers primary ones. What that means for your pages, your crawler rules and the third-party profiles it reaches for instead.
To be cited by ChatGPT, make sure its crawlers can reach you, then give it the kind of source it prefers: primary, specific and easy to lift. It cites fewer sources per answer than any other major assistant except one, so the competition is not for a position on a list but for one of roughly four slots.
That is the tactical version of generative engine optimization, applied to one engine. The strategy is the same everywhere; what follows is what is particular about this one.
في هذه الصفحة
How many sources does ChatGPT actually cite?
Few. In a study tracking 13,184 citations across the four major assistants, ChatGPT averaged about four and a half sources per answer — far below Perplexity's nineteen and well under Gemini's eight [1]. That single number should change how you think about the target.
4.5 sources
There is a compensating advantage. Of the four engines, ChatGPT has the smallest gap between mentioning a brand and citing it: when it names a company, it usually links it too, where the other assistants will discuss a brand freely without sourcing it [1]. So the citation is a realistic goal here in a way it is not everywhere, but the page has to earn a scarce slot.
What kind of sources does it prefer?
Primary ones. The tracking data shows ChatGPT skewing towards official documentation, research papers, and vendors' own pricing and help pages, rather than the roundups and community threads that other engines lean on [1].
That is unusually good news for a company with a real product, because it means your own pages are eligible. A clear pricing page, a specification, a help article that answers one question completely — those are the shapes it reaches for. The corollary is that a marketing page written to persuade rather than to inform is not a primary source, and it will be passed over for one that is.
This has a specific and slightly uncomfortable implication for anyone whose category hides its prices. If the question is what something costs and your page answers it with a contact form, you have disqualified yourself from the answer and handed the citation to whichever competitor published a number. We publish ours on the pricing page partly for that reason: a number on a page can be quoted, and a number behind a form cannot.
The same logic applies to terms, timelines, inclusions and exclusions. Anything a buyer would reasonably want to know before a conversation is a candidate primary source if you write it down, and a lost citation if you do not.
| Reaches for | Skips |
|---|---|
| Your published pricing and terms | Pages that route the number to a form |
| Documentation and specifications | Brochure pages about benefits |
| Research, studies and original data | Summaries of other people's research |
| Comparison posts with a stated method | Self-ranking lists with no method |
| Help articles that answer one question | Long guides that answer twelve loosely |
Which crawlers do you have to allow?
OpenAI publishes three, and they do different jobs: one crawls for training, one fetches a page live during a conversation, and one builds the search index that sits behind citations [2]. Allowing them is a robots.txt decision, and it is worth being explicit rather than relying on a wildcard.
Name them explicitly in robots.txt
An explicit allow is unambiguous and survives someone later tightening a wildcard rule. Check the published list rather than a blog post, because the names have changed before.
Check the edge, not just the file
Hosting providers and firewalls ship bot-protection rules that block AI user agents by default. They produce no error and no visible traffic drop, so nobody notices until somebody asks why the brand never appears.
Do not suppress snippets
A page carrying a directive that forbids a snippet has forbidden the quote. If you want a page cited, let it be excerpted.
Render on the server
Content that only exists after a script runs, or behind a form, may not exist at all to a retrieval crawler. Fetch the page without JavaScript and see what is left.
How should the page be written?
As a source, not as an argument. The experimental work on generative engine visibility found that adding statistics, quotations from named people and citations to real sources all raised how often a page was used in generated answers, as did writing more fluently [3]. Every one of those is a property of a passage rather than of a page.
Write each section so its first two or three sentences are a complete answer to the heading above it. Put one table on the page, because a comparison is the easiest thing to lift and the hardest to paraphrase wrongly. Give numbers with a named publisher and a date beside them. Sign the page with a real person who has a page of their own.
Phrase the headings as the questions a buyer would type, not as topics. "Pricing" is a topic; "what does it cost per month" is a question, and the second one matches what is actually asked. Then keep the answer under the heading it belongs to rather than spreading it across the page, because a passage that is complete in one place is a passage that can be lifted from one place.
Length is not a lever here. A longer page is a page with more candidate passages in it, not a stronger one, and padding a section to reach a word count makes its opening sentences worse — which is the only part that was ever going to be used.
Then apply the extraction test. Read any section aloud starting at the first sentence and stop after three. If what you said is a correct, standalone answer, the section is quotable. If you were still setting up context, it is not, and nothing further down will rescue it.
Why does it recommend a competitor instead?
Usually because somebody else's page says so. Assistants answer questions about who to buy from by reading the pages that discuss the category — review platforms, comparison posts, professional directories — and if those name your competitor and not you, that is the answer you get, regardless of how good your own site is.
There is one more thing worth knowing about business buying questions specifically: community forums, which almost every guide recommends, were effectively absent from ChatGPT's citations across seventy-two business buyer questions in the tracking study [1]. Time spent there is not wasted for brand reasons, but it is not what is being read when someone asks which vendor to use.
So the highest-return work is often not on your website at all. Claim and complete the review and listing profiles in your category. Keep your company and founder profiles current on the professional networks. Ask to be included, on the merits, in the comparison posts that already rank for your category.
Do that work in order of how fast it pays. Profiles you control — review platforms, professional pages, category directories — take an afternoon each and are permanent. Inclusion in other people's lists takes weeks and depends on someone saying yes, so start asking early and expect a low hit rate. Publishing your own comparison, with a stated method and an honest disclosure of where you sit in it, is slower still and is the only one of the three that other people will then cite without being asked.
One caution on the last of those. A list that ranks you first with no methodology is an advertisement, it reads as one, and it earns nothing. A list that names its criteria, applies them identically, and says plainly that the author is an interested party is a legitimate source — and that difference is the entire value of the format.
How do you measure whether it worked?
Over weeks, against a fixed set of questions. The same prompts asked two days apart return substantially different sources from every engine [1], so a single conversation tells you nothing and a screenshot tells you less.
Pick twenty to forty questions a real buyer would ask, run them weekly, and record two numbers per run: whether you were named, and whether you were linked. Watch the trend across a quarter. Then write one sentence each month explaining any movement, because in six months that sentence is the only record of what you changed.
Record which URL was cited as well as whether you were cited, because the answer is frequently not your page. If a review profile or somebody else's comparison post is doing the work, that tells you where the next hour of effort belongs far more reliably than any score a dashboard prints.
And keep the prompt set fixed even when it is unflattering. The most common way these programmes fail is that somebody rewrites the questions after a bad month, which resets the baseline and destroys the only thing the measurement was for.
The first thing to check is never the writing. It is whether anything at the edge is quietly refusing the crawler, because that is a free fix and it invalidates every other measurement you take.
If you want the cross-engine picture rather than one assistant, GEO vs SEO vs AEO explains what the three labels actually mean, and the audit below will tell you whether your pages are reachable in the first place.
أسئلة يطرحها الناس
Do I need to rank in Google to be cited by ChatGPT?
No. The overlap between what assistants cite and what ranks in Google's top ten is partial at the domain level and very small at the level of exact URLs. Ranking helps because it correlates with being useful, but it is not the mechanism.
Which OpenAI crawler should I allow?
All three, unless you have a reason not to. They do different jobs — training, live fetching during a conversation, and building the search index behind citations — and blocking the wrong one removes you from answers while leaving you in the training data.
How long until a new page can be cited?
Once it is indexed and reachable, days to weeks. The slow part is never the page; it is the third-party pages that mention you, which take months because they depend on other people.
Why does ChatGPT recommend my competitor and not me?
Usually because the third-party pages it reads name them and not you. Review profiles, comparison posts and professional listings do more of this work than your own site does, and they are the cheapest gap to close.
Can I check whether it worked?
Only over time and over a fixed set of questions. A single answer varies from day to day, so measure a citation rate across weekly runs rather than reacting to one conversation.
المصادر
- I tracked 13,184 AI citations across 4 LLMs: here's what I learned — Orbit Media Studios (checked 11 September 2026)
- Overview of OpenAI crawlers — OpenAI (checked 11 September 2026)
- GEO: generative engine optimization — Aggarwal et al., KDD (checked 11 September 2026)
Check whether the assistants can even reach your site
احجز استشارة مجانية مدتها 30 دقيقة مع إبراهيم وجيريمي. ننظر في موقعك أثناء الحديث، وتخرج بخطة مرتّبة حسب الأولوية.
من كتب هذا
Jeremy ZavaCo-founder
Leads growth and client partnerships.
يعمل على: CRO, SEO
راجعه قبل النشر Ibrahem Helal، Co-founder.
المزيد عن هذا
- Generative engine optimization: the playbookHow answer engines pick what to cite, what a quotable page looks like, which crawlers to allow, how to measure it, and a 90-day plan built on evidence.
- GEO vs SEO vs AEO: what is the difference?Three labels, one foundation and two real differences. What each term means, where the work diverges, and which of them you should be buying separately.
- How to choose an SEO agency in 2026A buyer's guide to hiring an SEO agency: what the work is, what it should cost, which proposal lines matter, and the questions that separate two quotes.
- GEO for B2B CompaniesWhy B2B buying questions lean on comparison posts and vendor pages more than forums, and what a vendor should do about its own AI visibility.