Publishing Specific, Fetchable Facts on Your Site for AI Answers

One controlled study gives the positive case. The 252,000-trial factorial study "What Gets Cited" (arXiv:2605.25517) found that "including explicit price information and a recent timestamp also helps consistently." The same study found that topical relevance and list position were the biggest drivers of being cited first. It also found that formatting-only edits had little impact.

That is the whole positive signal for on-page content, and it comes with limits:

• The study used a synthetic corpus of 100 e-commerce blogs.
• Each trial had only two candidate documents, and no live search engine was called.
• It was written by Sprinklr, which ships a GEO checklist.

So it measures what happens after a page is already in front of the model. It says nothing about whether your page gets retrieved in the first place. A July 2026 critical survey of 45 GEO studies (arXiv:2607.14035) put the general case plainly: already-retrieved content can causally alter its citation or use, but no reviewed technique shows a stable, cross-platform effect on discoverability.

What it means for you: a specific fact is worth publishing because it gives an engine a clean sentence to quote when your page is in its context. It is hygiene for the answer stage, not a way into the answer. For the sentence-level detail, see what makes a sentence easy for AI to quote.

Most on-page GEO advice is about style, not facts. The primary sources reject it.

• AI-friendly writing. Google's guide to generative AI features says: "You don't need to write in a specific way just for generative AI search."
• Chunking. The same guide rejects chunking as a requirement and says there is no ideal page length. The academic chunking research measures how a retrieval operator splits documents inside its own index, which no publisher controls.
• Long-tail coverage. Google says you don't have to worry about capturing "every variation" of how someone might search.
• Citation-oriented rewrites. C-SEO Bench (NeurIPS 2025) found most conversational SEO methods "largely ineffective" and frequently harmful to ranking in the model's context.
• Keyword stuffing. The original GEO paper found it lowered its own visibility metric (17.8 against a 19.5 baseline).

Hidden text, prompt injection and content served only to AI crawlers are a separate category. They are manipulation, they put your brand at risk, and you should not use them. The cloaking entry explains why. For the full case against style rules, read whether an AI-friendly style exists.

The practical line: change what your pages state, not how they are dressed.

Work through these steps once per fact. A small site can finish in an afternoon.

1. List the facts buyers ask about. Price per plan, what each plan includes, founding year, headquarters, main integrations, and a one-line definition of what you sell.
2. Write one canonical sentence per fact. Give it a subject, a number, a unit and a scope. Say you run a hypothetical scheduling app. "The Team plan costs $12 per user per month, billed annually" is quotable. "Flexible pricing for teams of every size" gives an engine nothing to repeat.
3. Put the sentence where a buyer would look. Prices go on the pricing page. Founding year and location go on the about page. Don't scatter variants across blog posts.
4. Make sure it exists before JavaScript runs. Vercel found that ChatGPT and Claude crawlers fetch JavaScript files but don't execute them, so text that only appears after hydration may be invisible to them. Googlebot renders JavaScript, so this gap matters for the other engines. Check the page source or fetch the raw HTML, and confirm the sentence is there.
5. Confirm crawlers can reach the page. robots.txt rules are per bot: OAI-SearchBot governs ChatGPT search, and GPTBot governs only training. A firewall or CDN can still block a bot that robots.txt allows. The AI Crawler Checker requests a page as each AI crawler and shows which ones are turned away.
6. Check you are not suppressing it. noindex, nosnippet, max-snippet:0 and data-nosnippet keep content out of AI answers. Templates often apply them by accident. See how these controls work.
7. Remove contradictions. If the pricing page says $12 and an old FAQ says $10, an engine has two facts to choose from. Run the free brand fact consistency check to find them.
8. Date facts that change. Put a real "as of" date next to prices and limits. Only change the date when the fact changes.

Use this list before you call a fact page done.

• Each key fact is one sentence with a specific number, unit or name.
• Each fact has one canonical wording, used on every page that states it.
• The fact sits on the page a buyer would expect it on.
• The sentence appears in the raw HTML, not only after JavaScript runs.
• The fact is not hidden behind a tab, accordion or "load more" button that injects it later.
• robots.txt allows the retrieval bots you want (OAI-SearchBot, PerplexityBot, Claude-SearchBot), checked per bot.
• The page returns a 200 to those crawlers, not a 403 or a challenge page.
• No noindex, nosnippet, max-snippet:0 or data-nosnippet covers the fact unless you meant it to.
• Changing facts carry an honest "as of" date.
• No hidden text or AI-only content anywhere on the page.
• Old pages that state outdated values are updated or removed.

Good results

• An AI answer about your pricing matches the wording on your pricing page.
• When an engine cites you for a fact, the link points to the page that holds it.
• Differences between engines trace back to access, such as one bot being blocked, which you can fix.

Bad results

• An answer repeats an old price that still lives on a forgotten page of your site.
• Your own pages state two different values for the same fact.
• The fact only appears after JavaScript runs, so non-Google crawlers see an empty section.
• The answer quotes a number from a review site or directory instead of you. When engines lean on other sites, being named accurately on those sites is the route in. The comparison of owned and third-party mentions covers that side.

Results that are neither

No change at all is common and does not mean your fact is wrong. Retrieval is per query and at each engine's discretion. Some answers come from the model's frozen training knowledge, and nothing you publish today reaches those until a future model. The free checker on this site shows what engines say for up to three buyer questions, which is a useful snapshot before and after you fix a fact.

Facts drift faster than most teams expect. Set three rhythms.

• The day a fact changes. Update every page that states it, in the same release. A price change on one page and not three others creates the contradiction you were trying to remove.
• After any rebuild. A redesign, a new framework or a CMS migration can move content behind JavaScript. Re-run the raw HTML check and the crawler access check.
• Every quarter. Walk the full checklist. Access can change without you touching anything. From 15 September 2026, Cloudflare blocks Training and Agent crawlers by default on ad-displaying pages for new domains, new sites on existing accounts and existing free-tier customers.

Between reviews, ask the same buyer questions in each engine and note what they say. Compare engine by engine. One healthy engine tells you nothing about the others.

You control four things: the wording of each fact, where it sits, whether it is in the HTML, and whether crawlers can reach it. You also control whether your site contradicts itself.

You don't control whether an engine runs a search for a given question, which pages it retrieves, or which retrieved source it cites. Nobody outside the engines can see those steps. As of October 2026, no published study measures how much a clearly stated fact raises the chance of being cited in a live engine.

The move, then: publish facts that are specific, consistent and reachable, and treat any answer that still gets them wrong as a signal to check access first.

Should I publish my prices if I want AI answers to get them right? If you want engines to state your price, give them one to quote. A page with no stated price leaves an engine to rely on third-party sites or its training data. The factorial study found explicit price information helped in its tests, with the caveat that pages were already in context. Pricing that changes often needs an "as of" date. The trade-offs are covered in [whether to publish prices for AI answers](/questions/publish-prices-for-ai-answers).

Does adding FAQ schema help AI quote my facts? The evidence says no. Google states structured data isn't required for generative AI search. Ahrefs' matched test of 1,885 pages found AI Overviews citations fell 4.6% after schema was added, and Google deprecated FAQ rich results in May 2026. Existing markup does no harm, so there's no need to remove it. Put the fact in visible, fetchable text instead.

Will publishing more pages of facts help? Volume is not a lever. In Otterly's 2026 test, two new sites with roughly 1,000 AI-generated posts each were removed from Google's index after about 14 and 90 days, with no manual action. One clear page per fact beats many thin ones. See [whether publishing more often helps AI visibility](/questions/publishing-more-content-ai-visibility).

How long until AI answers reflect a fact I changed? No published source gives a number. Answers that use live retrieval can pick up the change once the engine's crawler refetches the page and its index updates. Answers drawn from training data won't change until a later model with a newer knowledge cutoff. Fix the fact everywhere on your site, confirm access, then check each engine over the following weeks.