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How to Optimize Content for AI Search: What the Evidence Supports and What It Doesn't

To optimize content for AI search, match each page to the exact question a buyer asks, answer that question in the first sentence under a question-shaped heading, add numbers only you have, and keep everything in plain HTML. The largest study we found says matching the question matters about three times more than any other on-page factor. Schema and length targets have weak or conflicting evidence.

Lourdes Paul Agilan, founder of GeoCited

Founder, GeoCited · Published · 12 min

How to optimize content for AI search, from the studies that measured it: match the question, answer first, add original data, and skip what doesn't work.

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Note on verification: every study below was fetched from its publisher on 16 or 17 September 2026, and almost all of them come from companies that sell SEO, analytics or AI visibility services, labelled vendor-funded where cited. None of the AI companies publish how they choose which passages to quote, so everything here is measured from the outside. Four questions still have conflicting evidence, and we report both sides each time: whether schema markup helps, whether freshness matters, how much length matters, and whether listicles are a strong format. Our own figures come from a 40-prompt study of 490 cited URLs we ran on 28 August 2026, one run per prompt.

Most advice on this topic is a checklist with no sources. This one sticks to what someone has measured. Where two measurements disagree, both are here.

What AI search does with your page

Three things happen before your content can be quoted.

The question gets split up. ChatGPT, Google AI Overviews and AI Mode all rewrite a question into several narrower searches before answering. Google calls this "query fan-out" in its own documentation (Google Search Central, updated Dec 10, 2025). Your page competes on the sub-questions, not just on the question the person typed. We cover the ChatGPT side in How ChatGPT Searches Now and the Google side in How to Appear in Google AI Overview.

The page gets cut into pieces. Microsoft's Bing team describes it plainly: "Assistants like Copilot break content down, a process called parsing, into smaller, structured pieces" (Microsoft Advertising blog, Oct 8, 2025). The model quotes a piece, not a page.

Often, only the top of the page gets read. RESONEO, a French SEO consultancy, found that in ChatGPT's instant mode the model usually sees a snippet of about 200 characters taken from the H1 and the visible text right after it. Pages ChatGPT actually opened were cited 74% of the time, against 7% for pages it only retrieved (Search Engine Land, Aug 17, 2026).

Everything below follows from those three facts.

Step 1: Match the page to the question

This is the step with the strongest evidence, and the one most checklists skip.

Discovered Labs, an AI search agency, analysed about 2 million citations across 10,000 cited pages on ChatGPT, Claude, Google AI and Gemini over six months. Its strongest page-level signal was what it calls prompt-content alignment: how closely the page matches the question asked. The effect (a standardised coefficient of +0.37) was roughly three times that of the next-strongest page-level signal, and one standard deviation more alignment meant about 30% more citations (Discovered Labs, updated Aug 2026, vendor-funded).

Ahrefs found the same thing from a different angle. Across 1.4 million ChatGPT prompts, cited page titles were closer in meaning to ChatGPT's rewritten sub-queries (a similarity score of 0.656) than non-cited titles were to the original prompts (0.484). Pages with plain-language URL slugs had an 89.78% citation rate, against 81.11% for pages without (Ahrefs, Apr 15, 2026, vendor-funded).

What this means in practice:

  • Start from real questions, not keywords. Pull them from sales calls, support tickets, reviews and the People Also Ask box. Write them down in the buyer's words.
  • Give each important question its own page, or its own section. A page that answers "What does X cost for a 50-person team?" is a better match for that question than a general pricing page.
  • Put the question's words in the title, the H1 and the slug. We saw what happens when that match breaks: our own study page dropped out of a Google AI Overview after its title was shortened so it no longer matched the query. We cannot prove the title caused it, but it was the only change we know of.
  • Cover the pages AI now searches for on your own site. Since August 2026, ChatGPT has sent more searches to named websites. Promptwatch, which sells AI visibility tracking, measured domain-scoped searches jumping from 0.37% to 16.8% of ChatGPT's sub-queries on 8 August (Promptwatch, Aug 20, 2026, vendor-funded). Writesonic's first test of GPT-6 Astra found 75.1% of its searches scoped to a single brand's domain (Writesonic, Sep 8, 2026, vendor-funded, 50 prompts on one account). When a model searches your site for "pricing" or "integrations", you need a page that answers it.

Step 2: Answer in the first sentence

Three studies using different methods point the same way.

  • Kevin Indig matched 18,012 verified ChatGPT citations back to their source text across 1.2 million answers. 44.2% came from the first 30% of the page, 31.1% from the middle and 24.7% from the final third (Search Engine Land, Feb 18, 2026).
  • Adam Gnuse audited 15 domains getting real ChatGPT referral traffic. 72.4% of cited blog posts had an "answer capsule": a self-contained answer of about 20 to 25 words (120 to 150 characters) placed right after a title or question-shaped H2. More than nine in ten of those capsules contained no links (Search Engine Land, Nov 19, 2025).
  • Discovered Labs found a small positive effect for TLDR or bottom-line-first blocks (+0.05), and found cited text typically came from around the first third of the page.

How to write one:

  1. Put the question as the heading, in the buyer's words.
  2. Answer it in the next sentence, fully, so it makes sense if it is the only thing read.
  3. Keep links out of that sentence. Put them in the paragraphs after it.
  4. Then explain, qualify and give examples.

Look hard at what sits between your H1 and that first answer. Breadcrumbs, bylines, share buttons and a table of contents all take up the few hundred characters a model may see first. Our answer capsule guide goes deeper on the format.

Step 3: Write in pieces a model can lift

Since the page gets cut into pieces, each piece should work on its own.

Microsoft's guidance is specific here. Headings "act like chapter titles." Question-and-answer pairs work because "assistants can often lift these pairs word for word." Lists and tables "break complex details into clean, reusable segments." And it warns against "long walls of text" that blur separate ideas together (Microsoft Advertising blog, Oct 8, 2025).

Indig's study adds detail on the sentences themselves (Search Engine Land, Feb 18, 2026):

  • Definite statements win. "X is" and "X refers to" were cited more than hedged phrasing.
  • Questions in headings help. Content with questions, especially in headings, was about twice as likely to be cited.
  • Name things. Cited passages were about 20.6% proper nouns (brands, products, places, people), against 5% to 8% in typical English text.
  • Plainer reading level. Cited content averaged a Flesch-Kincaid grade of 16, against 19.1 for less-cited content.

In practice: one idea per paragraph, a heading every few paragraphs, and sentences that still make sense when copied out on their own. Replace "it" and "this" with the actual name when a sentence could be lifted alone.

Step 4: Add something only you can say

If your page restates other people's studies, a model has little reason to quote you instead of them.

The original academic paper on this, tested on a 10,000-query benchmark, compared nine ways of rewriting content. Adding quotations improved visibility by about 41% on its overall measure, adding statistics by about 31%, and citing sources by about 27%. Keyword stuffing made things about 8% worse (Aggarwal et al., KDD 2024). Those numbers come from a 2023 test setup, so treat the ranking of methods as the finding, not the exact percentages.

Gnuse found 52.2% of cited posts had original data or brand-owned insight, and 34.3% of cited posts had both an answer capsule and original data, the strongest combination in his audit. Google's own advice for AI experiences starts with the same idea: focus on "unique, valuable content for people" (Search Engine Land summary of Google's guidance, May 21, 2025).

What counts as original:

  • numbers from your own customers, product or tests
  • a named method, with its steps written out
  • a direct quote from someone who did the work
  • a clear position on a question others dodge, with the reasoning shown

One warning from our own test. Our original numbers spread fast. Seventeen days after publishing, Google's AI Overview still used our figure but credited a LinkedIn post about the study and another site carrying our title (How to Appear in Google AI Overview). Put your brand name in the same sentence as your key number, so the credit travels with it.

Step 5: Keep it readable for machines

Good writing does nothing if the crawler cannot see it.

  • Serve text as HTML. RESONEO found ChatGPT's fetcher does not run JavaScript, so text that only appears after scripts run is invisible to it. It also found pages over 4 MB are rejected outright (Search Engine Land, Aug 17, 2026).
  • Don't hide answers. Microsoft advises against putting "important answers in tabs or expandable menus" because assistants may skip content that isn't rendered.
  • No text in images. Put key details in HTML, or at least in alt text.
  • Prefer HTML to PDF. Microsoft notes HTML gives better structure signals than PDFs.
  • Let the right bots in. Allow OAI-SearchBot for ChatGPT search and Googlebot for Google, and check your CDN or firewall rules too.

Our technical checklist covers the full list.

Step 6: Choose the format from the question

Format matters, but the right format depends on the question.

In our study of 40 buying-intent prompts across eight B2B software categories, run on ChatGPT and Google AI Overviews, the winning format changed with intent (GeoCited, Aug 29, 2026):

Question type Format that took the most citations Share
Head-to-head ("X vs Y") Comparison pages 56.7%
Pricing Pricing pages 53.4%
Selection ("which X for my team") Product pages 32.8%
Category ("best X") Listicles 30.0%

Discovered Labs found pricing pages had one of the strongest positive effects (+0.39) and listicle reviews a negative one (−0.12).

That conflicts with Wix Studio's AI Search Lab. Using Peec AI data (both vendor-funded), it found listicles made up 35.37% of citations in its SaaS vertical (Wix Studio, Mar 23, 2026). Our listicle share was 12.9% overall. The most likely reason is the question mix: 40% of our prompts were comparison or alternatives questions, and Wix does not publish its mix. The practical rule survives the conflict: look at the questions your buyers ask, then build the format those questions reward.

Two more format notes from our study. Product documentation was 8.6% of ChatGPT's citations and none of Google's. And ChatGPT went to vendor-owned pages 78.8% of the time, against 47.5% for Google AI Overviews. For ChatGPT especially, your own product, pricing and docs pages do real work.

Step 7: Update when something changes, not to change the date

The freshness evidence is mixed.

  • Ahrefs, across 16.975 million citations on seven platforms, found AI-cited pages were 25.7% fresher than organic search results on average, with ChatGPT showing the strongest preference for newer pages and Google AI Overviews behaving much like normal search (Ahrefs, Jul 28, 2025, vendor-funded). The same study noted the average cited page was still about 2.9 years old.
  • Ahrefs' later ChatGPT study put the median cited page at around 500 days old, and found cited search results were older than the retrieved results ChatGPT skipped (Ahrefs, Apr 15, 2026).
  • Discovered Labs found median cited-content age of 5.1 months on Claude, 6.0 on Google AI, 7.8 on Gemini and 8.0 on ChatGPT.

These do not line up neatly, partly because they measure different things. The safe reading: freshness helps on questions where the answer changes (prices, features, "2026" lists), and matters much less on stable topics. Update pages when the facts change, and show what changed. Changing only the date adds nothing a model can use.

What the evidence doesn't support

Schema markup, as a citation tactic. The evidence conflicts. Microsoft recommends structured data. But Ahrefs tracked 1,885 pages that added JSON-LD against 4,000 matched controls and found a small but statistically significant 4.6% drop in Google AI Overview citations, with no significant effect on AI Mode or ChatGPT (Ahrefs, May 11, 2026, vendor-funded). Discovered Labs found no independent effect. Google says no special schema is needed for AI features. Use schema where it helps normal search, and don't expect it to earn citations.

Word count targets. Ahrefs found 53.4% of pages cited in AI Overviews had fewer than 1,000 words, and almost no link between length and citation position (Ahrefs, Dec 3, 2025, vendor-funded). Discovered Labs found a modest positive effect for length (+0.13). Write as long as the question needs.

Keyword stuffing. It was the only method that hurt results in the original research.

Content alone, on a weak domain. Discovered Labs found how much the AI systems seemed to trust the domain was about six times more influential than the strongest page-level feature. Good pages help, but mentions of your brand on other sites still matter. We cover that in Backlinks vs Brand Mentions.

A checklist for your next page

  1. Write down the exact question, in the buyer's words.
  2. Use it in the title, H1 and slug.
  3. Answer it in the first sentence, in about 20 to 25 words, with no links.
  4. Break the rest into question-shaped headings, each with a direct answer first.
  5. Use lists for steps and tables for comparisons.
  6. Name brands, products and numbers instead of "it" and "this."
  7. Add one thing only you have: a number, a method, a quote or a clear position.
  8. Put your brand name next to that number.
  9. Keep the text in HTML, visible without clicks or scripts.
  10. Update it when the facts change, and say what changed.
  11. Check whether the page gets cited, more than once, over several weeks.

Sources

Frequently asked

How do you optimize content for AI search?

Match the page to the exact question a buyer asks, answer it in the first sentence under a question heading, add original data, and keep the text in plain HTML. In the largest study we found, matching the question had about three times the effect of any other on-page factor.

Is optimizing for AI search different from SEO?

Mostly no. Crawlability, clear structure and useful content help both. The differences are in emphasis: AI search quotes short passages, so answer-first writing and self-contained paragraphs matter more, and measuring results needs repeated checks across several AI tools.

How long should an answer be for AI search?

Short. One study found most cited blog posts had an answer of about 20 to 25 words right after a question heading. Put that answer first, then add detail below it.

Does schema markup help content get cited by AI?

The evidence says not much. Ahrefs' matched-control study found a small negative effect on Google AI Overview citations and no significant effect on ChatGPT or AI Mode. Microsoft still recommends it, and Google says it is not required.

How often should I update content for AI search?

Update when the facts change. Fresh content seems to matter more for ChatGPT and for questions where the answer changes, like pricing. Changing only the date is unlikely to help.

Which content format gets cited most by AI?

It depends on the question. In our study, comparison pages won head-to-head questions, pricing pages won cost questions and listicles won "best X" questions. Other studies disagree on listicles, most likely because they test different question mixes.

Written by

Lourdes Paul Agilan, founder of GeoCited

Founder, GeoCited

Lourdes Paul Agilan runs GeoCited, a generative engine optimization agency. He works with B2B companies on how AI assistants describe and recommend them. He writes about that work here, and shares the experiments behind it. The tests that worked, and the tests that did not, written up the same way.

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