The Pages That Win Everywhere
We crawled 6,576 pages that Google and the AI engines surfaced for 500 queries. The rare pages that win in both places link out at roughly twice the rate of everyone else.
Key Takeaways
- Only 15% win both: 985 of the 6,576 usable pages both rank in Google's top 10 and get cited by an AI engine.
- Winners cite aggressively: the median dual-winner carries 56 external links, roughly twice the 28–29 of pages that win only one system.
- Depth beats minimalism: dual winners are built like documents — more headings, more lists, and more semantic HTML than single-system pages.
- Local intent is the exception: win-both barely exists at 5% of local queries, so those channels need optimizing separately.
- The move: stop treating outbound links as leakage and build deep, sourced pages.
Ask an SEO team what they're building for in 2026 and you'll hear a phrase that didn't exist two years ago: "AI visibility." The advice that follows is oddly uniform, whoever you ask. Chunk your content. Add bullet points. Answer in the first sentence. Make it effortless for a machine to lift your paragraph and drop it into an answer.
We wanted to know whether that advice actually describes the pages that win. So we took 500 real queries, captured everything Google organic, Google AI Overview, ChatGPT, and Perplexity chose to surface for them, and crawled all 8,397 resulting URLs to see what those pages are made of.
The most useful thing we found is a distinction the industry keeps stepping over. The pages AI engines cite and the pages Google ranks are mostly different pages. The small group that wins both looks like neither of them.
Three Groups, and One That Pays the Rent
Every URL in the study lands in one of three buckets:
| Group | URLs | Meaning |
|---|---|---|
| AI-only | 3,907 | Cited by at least one AI engine, but not in Google's organic top 10 |
| Both | 985 | Cited by AI engines AND ranked in Google's top 10 |
| Organic-only | 1,684 | In Google's top 10, but no AI engine cited it |
(These counts cover the 6,576 URLs that returned HTTP 200 and produced parseable HTML. The full dataset is 8,397.)
The Both group is the one worth wanting. These are the pages a search redesign can't quietly kill. Read the AI answer, and the page is in the citations. Scroll to the classic results, and the page is there too. Only 15% of the usable dataset pulls that off.
So what do those 985 pages have that the other 5,591 don't?
Finding 1: The Winners Cite Their Sources, Aggressively
The cleanest separator we found is how much a page links out to other websites.
The median page in the Both group carries 56 external links. The median AI-only page carries 29. The median organic-only page, 28. The pages that win both systems link out at roughly twice the rate of everyone else, and it isn't a couple of freak pages dragging the average. The whole distribution shifts.
Classic SEO doctrine treats an outbound link as leakage. Every link out is authority you're handing to a stranger. The pages winning both systems behave the opposite way. They read like research documents. A Mayo Clinic condition page cites its medical sources. A NerdWallet comparison links to every provider it reviews. An IRS guidance page links across the rest of IRS.gov and out to the regulations it rests on.
There's a plain reading of this. To a machine deciding what to quote, a page that shows its sources looks like evidence. To Google, that same page earns links and satisfies the reader who lands on it. Citing generously correlates with winning in both places at once.
We are not the only ones who found this. Seer Interactive crawled 6,354 pages that won a Google AI Overview in May 2026 and reported that the winners of definitional queries cite roughly twice as many .gov and .edu sources outbound as the pages that don't win. Their slice is narrower than ours: one engine, one query type, and only government and academic destinations counted. Two independent crawls of different data landed on the same 2× ratio.
A concrete contrast
For a query like "how to improve credit score," the typical AI-only page is a 900-word listicle: tips, no references. The Both-style page is Experian's full guide, sectioned, sourced, linking to the bureaus, the CFPB, and its own related explainers. Both get cited by AI. Only one of them also ranks.
Finding 2: The Winners Are Built Like Documents, Not Landing Pages
We parsed the saved HTML of every page and looked for structural markers, from semantic HTML5 tags to schema markup. The Both group leads on every one of them:
| Marker | Both | AI-only | Organic-only |
|---|---|---|---|
| <article> tag | 44% | 35% | 29% |
| <nav> tag | 83% | 67% | 71% |
| <main> tag | 56% | 45% | 50% |
| <section> tag | 63% | 52% | 56% |
| Any schema markup | 58% | 54% | 50% |
It's denser as content, too. The median Both page carries 19 headings and 21 lists. The median page in either other group sits around 15 headings and 13 lists.
This quietly kills one of the most repeated stories in AEO: that the pages winning both systems are "clean prose" while the AI-only pages are "scannable listicles." We tested that head-on, and the data runs the other way. The Both group has more lists per page, more headings, more visible structure. The dual winners are the bigger, busier, more thoroughly marked-up pages. Depth wins here, not minimalism.
The Honest Part: Where the Both Group Actually Lives
Before this turns into a playbook, two facts keep it grounded.
First, the Both group isn't spread evenly across query types. A third of it sits in YMYL queries (health, finance, safety), and another 30% in informational ones. In local queries ("dentist near me," "coffee shop near me") it barely exists, at 5%. If your business runs on local intent, the win-both pattern is close to unavailable to you. Google answers local with the map pack, the AI engines cite directories, and the two systems almost never land on the same URL.
Second, we checked whether the outbound-link gap is just a category trick. Maybe Both pages link out more only because health and finance pages always do. So we held the category constant and re-measured. Inside informational queries alone, the median Both page has 52 external links against 21 for AI-only. Inside YMYL alone, 58 against 33. The gap survives. It belongs to the group, not to the topics the group happens to sit in.
There's one caveat we can't scrub out. The 985 Both URLs come from only 531 domains, and the biggest of them are exactly who you'd guess: Cleveland Clinic, Mayo Clinic, Wikipedia, IRS.gov, Fidelity. Institutionally credible, well-engineered sites. Some part of "the Both group has better structure" is really "the Both group is made of better-built websites." Copying their HTML won't transplant their reputation. What the data gives you is the profile of a winner, not a causal recipe for becoming one.
Reputation is also the thing this study never measured. We looked at what sits on the page and nothing else. The strongest off-page correlate anyone has published is being talked about: Ahrefs' May 2025 analysis of 75,000 brands put branded web mentions at the top of its correlation list for AI Overview visibility at 0.664, with raw backlink count near the bottom of the same list at 0.218, a gap of roughly three to one. So read the structural profile on this page as necessary rather than sufficient. If nobody writes about you anywhere, better HTML is unlikely to earn you the citation on its own. We take the off-page side apart in what drives AI citations.
The last boundary is one we drew ourselves. A page counts as Both here only if it ranked in Google's organic top 10, and that cut is narrower than it sounds. Ahrefs' March 2026 study of 863,000 keyword SERPs found that only 38% of the pages cited in Google's AI Overviews still rank in the top 10, down from about 76% in mid-2025; the remaining 62% sit at rank 11–100 or outside the top 100 altogether. Against that, our 985 is a conservative count. A page that AI cites while it ranks 40th lands in our AI-only bucket, not our Both bucket, so widening the ranking window would grow the group rather than shrink it. We kept the top-10 cut because it matches the ordinary meaning of "this page ranks," and because it makes the outbound-link gap a harder test to pass rather than an easier one.
SEO Expert Advice
- Stop treating outbound links as leakage. The strongest structural signal of winning both systems is citing sources at about double the typical rate. Reference the studies, the providers, the documentation you actually relied on. Write the page as if it's going to be fact-checked, because increasingly it is.
- Build deep pages, not chunk farms. The dual winners aren't shorter or simpler. They carry more headings, more lists, and more marked-up structure than the pages that win only one system. Scannable and comprehensive turn out to be the same page, not opposite ones.
- Use semantic HTML like you mean it. <article>, <main>, <nav>, <section>, plus schema. Each marker looks small on its own. The Both group leads on all of them at once, which is the tell.
- Set expectations by query type. If your keywords are informational or YMYL, winning both is a realistic target, and this profile is your benchmark. If your keywords are local, optimize the two channels separately, because almost nobody wins both with a single URL.
None of this is a growth hack. It's what it looks like to build a page that deserves to be quoted. The engines just made that harder to fake.
Does your site fit the winner's profile?
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Methodology
Dataset. 500 queries, 100 in each of five intent categories (informational, commercial, transactional, YMYL, local), US market, English. For each query we captured Google's organic top 10, Google AI Overview citations, ChatGPT citations, and Perplexity citations, deduplicated to 8,397 unique URLs, then crawled all of them and saved raw HTML.
Analysis sample. 6,576 URLs with HTTP status 200 and parseable HTML. Structure signals (headings, lists, links, semantic tags) come from our own parser over the saved HTML; schema signals come from the crawl's structured-data extraction.
Group definitions. "Both" means a URL that ranked in Google's organic top 10 and was cited by at least one AI engine for the same query. A URL cited by an AI engine while ranking 11th or lower is counted as AI-only. This is a deliberately conservative cut and it understates the population of pages that win in two places at once; see the boundary discussion above for what a wider ranking window would do to the 15%.
Metric choices. We report medians for count metrics because the distributions are heavy-tailed (one page carries 1,693 external links; means overstate the typical page). Percentages are shares of each group.
FAQ: Ranking, Citations, and the Pages That Win Both
Do pages that rank on Google get cited by AI?
Usually not. Of the 6,576 pages in our analysis sample, 985 (15%) both ranked in Google's organic top 10 and were cited by an AI engine. Another 1,684 ranked in the top 10 with no AI citation at all, and 3,907 were cited by an AI engine without ranking in the top 10. Ranking well is not a reliable route to being quoted.
Do outbound links help AI citations?
They travel with them. The median page that won both systems carried 56 external links, against 29 for AI-only pages and 28 for organic-only pages. The gap holds inside a single category too: 52 against 21 within informational queries, 58 against 33 within YMYL. That is a correlation in observational data, not a proven cause. Adding links to a thin page is not what moves it into the Both group.
Why do only some pages win both?
Two things separate them, and only one of them is copyable. The dual winners are denser documents: 19 headings and 21 lists at the median, against roughly 15 and 13 in the other groups, plus a lead on every semantic-HTML marker we measured. They also come from a narrow set of domains: 985 URLs across just 531 sites, led by Cleveland Clinic, Mayo Clinic, Wikipedia, IRS.gov, and Fidelity. Some of what reads as better structure is really the engineering budget of an institution readers already trust.
Does the 15% include pages that AI cites but that rank below the top 10?
No, and that matters when you read the number. We defined the Both group as ranked in Google's organic top 10 and cited by at least one AI engine, so a page cited by AI while ranking 11th or 40th sits in our AI-only bucket instead. The 15% is therefore the share under a deliberately conservative, top-10 definition. Widen the ranking window and the group grows.
Are short, chunked pages worth writing for AI citations?
They do get cited: 3,907 pages in the study earned an AI citation without ranking in the top 10, and plenty of them are brief. What the data contradicts is the claim that the pages winning both systems are the lean ones. They are the bigger, more heavily marked-up pages, carrying more lists rather than fewer.
Which query types can realistically win both?
Informational and YMYL queries. A third of the Both group sits in YMYL (health, finance, safety) and another 30% in informational queries. Local queries are the exception at 5%, because Google answers local intent with the map pack while AI engines cite directories, and the two systems rarely land on the same URL. If your keywords are local, optimize the two channels separately.
Sources
- Novastacks AEO Study (this page) — 500 queries, 8,397 crawled URLs, 6,576 in the analysis sample, US market and English. Dataset and metric choices in the Methodology above.
- Seer Interactive, Matt Buxbaum (May 2026) — 6,354 crawled Google AI Overview winners; winners of definitional queries cite about 2× more .gov/.edu sources outbound.
- Ahrefs, Louise Linehan and Xibeijia Guan (May 2025) — 75,000 brands; branded web mentions correlate 0.664 with AI Overview visibility against 0.218 for backlink count. Ahrefs' December 2025 rerun put the AI Overview figure at 0.656.
- Ahrefs, Louise Linehan and Xibeijia Guan (March 2026) — 863,000 keyword SERPs and 4 million AI Overview URLs; 38% of cited pages rank in Google's top 10, against about 76% in July 2025.
See Which AI Engines Cite You Today
Check your pages against the structure and citation habits this study found in the dual winners, and see where each engine currently sources its answers.