Which Content Types Do AI Engines Actually Cite Most?

What did each study actually find?

Four studies, all from 2026, measured which content types AI engines cite most, and all four land on a similar top three with different exact numbers.

Wix Studio's AI Search Lab, with Peec AI (23 March 2026) analyzed 75,000 AI answers and over 1 million citations across ChatGPT, Google AI Mode and Perplexity, segmented by four user-intent categories and five industries. Listicles led at 21.9% of citations, articles at 16.7%, and product pages at 13.7% — together more than half of all citations across every vertical studied. The researchers' most notable finding wasn't the ranking itself: query intent predicted content-type citation better than either industry or which AI model was used.

HubSpot's State of AEO 2026 report (own data, December 2025–March 2026) reaches the same top three independently — the article explicitly frames its findings and Wix Studio's as "two independent datasets" rather than a combined analysis, and the two studies actually measure different things: HubSpot tracks citation rate (the share of queries where a format gets cited at all), while Wix Studio tracks share of citations (what percentage of all citations a format accounts for). HubSpot adds engine-specific detail on its own metric: AI Overviews favored blog posts (42% of its citations), Gemini favored blog posts even more heavily (76%), Perplexity favored product listings (84%), and ChatGPT specifically favored comparison content at 95% — a sharp outlier that suggests ChatGPT's citation behavior for commercial-intent prompts looks different from the other three engines.

DeltaV Digital (13 July 2026, updated 28 September 2026) ran a larger and more granular study: 21,075 AI engine responses and 25,337 citations across eight industries, tracked daily via the Peec AI platform. Its breakdown is more fine-grained — articles at 23.7%, listicles at 19.6%, product pages at 16.3%, homepages at 10.8%, with how-to guides, comparison pages and discussion content each in the low single digits. DeltaV's most useful finding is how much industry variation sits underneath the aggregate number: listicles captured 61% of citations in B2B technology services but 0% in healthcare, where articles dominated at 54%.

Surfer (9 September 2026) compiled a roundup of several studies rather than running its own, including a Yext analysis of 6.8 million citations finding 86% came from brand-controlled sources (not third-party content at all), and a separate finding that AI assistants favor content that's about 25.7% fresher than what ranks organically. Surfer's own methodology for several of the figures it cites isn't detailed in the piece, so treat its secondary figures (the Princeton GEO "30–40%" statistics claim, and the Search Engine Land "72.4%" direct-answer figure) as reported-by rather than independently verified here.

How did each study define "content type"?

The disagreement in exact percentages is mostly a classification artifact — and in HubSpot's case, a different metric entirely (citation rate, not share of citations). Wix's "articles" (16.7%) and DeltaV's "articles" (23.7%) aren't necessarily counting the same pages the same way either — DeltaV splits out how-to guides and comparison pages as separate buckets that Wix Studio's categories may fold into "articles" or "listicles." None of the four studies published a shared taxonomy, so a 7-point gap on the same label isn't evidence of real disagreement about what AI engines cite — it's evidence that nobody agreed on definitions, or even on what to measure, first.

Why do shares and citation rates differ by engine?

Because each engine retrieves and weighs sources differently. Perplexity's heavy lean toward product listings (84% per HubSpot's breakdown) fits its product as a more transactional, comparison-shopping-oriented search tool. ChatGPT's 95% weighting toward comparison content for commercial queries suggests its retrieval step favors pages that already do the work of comparing options, rather than single-product pages. Gemini and AI Overviews both lean toward blog posts, which may simply reflect that Google's own index — which both draw from — has historically ranked blog-style content highly for informational queries. None of the four studies ran a controlled experiment isolating engine from query type, so "Perplexity prefers product pages" should be read as a correlation observed in each vendor's own tracked prompt set, not a settled mechanism.

Which findings agree across all four studies?

Three things hold up consistently: listicles, articles/blog posts and product pages are the three largest categories in every study that reports percentages. Comparison content performs disproportionately well specifically for commercial-intent queries, regardless of which study measured it. And industry matters at least as much as content type — DeltaV's listicle swing from 61% (B2B tech) to 0% (healthcare) is the clearest single data point that a generic "publish more listicles" rule doesn't transfer evenly across categories.

What should a team publish, despite the noise?

1. Cover the big three — a clear listicle-style roundup, a well-structured article, and (if you sell a product) a complete, accurate product page. All four studies agree these carry the bulk of citations.
2. Add comparison content if you're in a commercial category. ChatGPT's outsized weighting toward comparison content (95% per HubSpot) and Perplexity's product-listing preference both point the same way for anything with a "best X" or "X vs Y" buying decision attached.
3. Check your own industry before copying a generic ranking. DeltaV's data shows the gap between industries is often larger than the gap between content types — what works in B2B SaaS may not transfer to healthcare or local services.
4. Don't chase a vendor's exact percentage. Use these studies to confirm direction (listicles, articles, product pages, comparison content all matter), not to set a target like "get to 21.9% listicle citations." Run the AI Search Audit checklist against your own site to see whether the basics (crawler access, rendering) are even in place before worrying about content-type mix.

These percentages sit alongside a wider set of numbers worth tracking quarterly — see state of AI search 2026: the numbers that matter for the broader roundup this post's figures belong to.

FAQ

What's the single most-cited content type across all the studies? Listicles and articles trade the top spot depending on the study's exact definitions, with product pages a close third. All four studies place these three types ahead of everything else measured.

Should I stop writing long-form articles and just publish listicles? No — the studies don't suggest content types compete with each other for a fixed citation budget. Articles, listicles and product pages are all well represented; the data argues for covering all three formats relevant to your business, not picking one.

Why do ChatGPT and Perplexity cite such different content types? Each engine retrieves from a different index and appears to weight commercial-intent queries differently — ChatGPT toward comparison content, Perplexity toward product listings. No study in this set isolated the exact mechanism; this is an observed pattern in each vendor's tracked data, not a confirmed cause.

Are these studies independent research, or vendor marketing? Mostly vendor and agency studies reporting on their own platform's tracked data — Wix Studio, HubSpot and DeltaV Digital all used the Peec AI tracking tool to generate their datasets. Treat the specific percentages as "reported by" that vendor, and treat the directional agreement across all four as the more reliable signal.

What to do next

1. Audit your own site against the "big three": do you have at least one strong listicle-style page, one well-structured article, and complete product pages for what you sell?
2. If you're in a commercial category, add or improve one comparison page and track whether it gets cited over the next quarter.
3. Run a real prompt relevant to your category through the AI Citation Snapshot and see which of your own pages (if any) gets cited — a free, single-question check, not a full audit.

ContextOwl sells one-time AI visibility reports. The AI Citation Snapshot is a free, single-question version of the same kind of check.