Introduction
If you have ever asked ChatGPT, Gemini, or Perplexity for a recommendation and watched it cite three or four sources at the bottom of the answer, you've probably wondered what those cited pages have in common. A recent analysis offers an unusually large dataset to answer that question — and the headline finding is blunt: AI engines cite listicles far more than any other content format.
According to a study of roughly 25,000 URLs reported by Search Engine Land, conducted by the AI-visibility company Evertune, listicles accounted for about 63% of all citations across the major AI models studied. That's a striking number, and it's the kind of stat that tempts every marketer to go produce a pile of “Top 10” posts by Friday. Before you do, it's worth slowing down on two things: what the data actually measured, and who measured it.
We need to say this plainly up front, because it shapes how much weight the numbers deserve. Evertune sells generative-engine-optimization software — the study is, in part, marketing for a product that helps brands track and improve their AI-search visibility. That doesn't make the data wrong, but it means we should read it as directional evidence from an interested party, not as settled science. In this piece we'll walk through the findings, reconcile them with our own earlier reporting on ChatGPT citations favoring ranking and precision over length, and lay out how a small business can act on this without drifting into the kind of thin, gamed content that Google has signaled it intends to penalize.
Key Takeaways
- A study of ~25,000 URLs found listicles drew roughly 63% of all AI-search citations across six models — but the study was produced by Evertune, a company that sells AI-visibility tooling, so treat it as directional.
- “Listicle” here mostly means ranked lists (“Top 5 CRM Tools”), which made up the large majority of cited list content.
- Cited pages were not 5,000-word giants: the heavily cited range clustered around 1,000–2,000 words with frequent headings, lists, and links.
- This aligns with our earlier finding that citations favor precision and tight topical focus, not raw length — the real signal is format clarity, not “make it a list.”
- Google's own spam policies target scaled, low-value, and thin-affiliate content, so churning out shallow listicles is a strategy with a short shelf life.
- The honest takeaway for small businesses: restructure your best existing pages into clearer, scannable, genuinely useful formats rather than mass-producing new lists.
What Did the 25,000-URL Study Actually Find?
The Evertune analysis, as reported by Search Engine Land, reviewed roughly the 6,000 most-cited URLs per model across six systems — ChatGPT, Microsoft Copilot, Google Gemini, Google AI Mode, Google AI Overviews, and Perplexity — over March and April 2026. Because many pages appeared across multiple models, the deduplicated set came to about 25,000 unique URLs drawn from a pool of nearly 400 million citations.
The format breakdown is the centerpiece. Roughly half of the most-cited URLs were listicles, and listicles captured about 63% of citations overall. The share varied by engine — listicles represented somewhere between 40% and 65% of the most-cited URLs, with Copilot at the low end and Gemini at the high end. Within that listicle bucket, ranked lists dominated: pieces structured as “Top 5 CRM Tools” or “Best Laptops for Gamers” made up roughly 71% to 86% of listicles depending on the model, while formal institutional rankings were a small slice (about 1.4% to 4.7%).
Length mattered, but not the way the “ultimate guide” era trained us to expect. Heavily cited pages clustered in the 1,000-to-2,000-word range — Evertune's figures put Copilot's typical cited page near 964 words and Gemini's near 1,977 — with sentences averaging about 18 words and frequent structural elements: multiple H2s and H3s, lists, links, and images. On its own generative-engine-optimization statistics page, Evertune describes the median ChatGPT-cited article as running around 941 words with roughly four H2s, two H3s, 15 external links, and 10 images — a profile of a tightly scoped, well-structured, link-rich page rather than a sprawling pillar.
Here's the format breakdown at a glance:
| Evertune finding (via Search Engine Land) | What the data showed |
|---|---|
| Listicle share of all citations | ~63% |
| Listicles among the most-cited URLs | ~40–65% (Copilot lowest, Gemini highest) |
| Ranked lists as a share of listicles | ~71–86% |
| Formal institutional rankings | ~1.4–4.7% |
| Typical cited-page length | ~1,000–2,000 words (Copilot ~964, Gemini ~1,977) |
Every figure above comes from the Evertune analysis as reported by Search Engine Land; read them as directional, given the source's commercial interest, rather than as settled benchmarks.
One more data point worth holding onto: corporate, earned-media, and affiliate domains supplied most of the cited listicles, and Forbes ranked among the top three sources on every single model. That tells you something important before you start writing — a lot of AI-cited list content comes from large publishers, which is part of why a small business can't simply out-publish them and has to compete on specificity instead.
Why Do Listicles Get Cited So Often in AI Search?
The mechanism is less mysterious than the headline number suggests. AI assistants assemble answers by retrieving passages that map cleanly onto a user's request, and a well-built listicle is almost purpose-built for that retrieval. A page titled “Best Accounting Software for Freelancers” is tightly bound to a single intent, segmented into discrete, labeled chunks, and explicit about the comparison dimensions — price, features, who each option is for. When a model needs to answer “what's the best accounting software for a freelancer,” it can lift a clean, self-contained chunk without having to interpret a meandering narrative.
That structural clarity is the real lever, and it's why we'd caution against reading the study as “lists win.” Ranked lists happen to be a format that forces writers to do things AI retrieval rewards anyway: stay on one topic, label sections clearly, make claims comparable, and keep each unit short. A how-to article with crisp numbered steps and a comparison page with a clean table can earn citations for the same underlying reasons. We unpacked this pattern in our look at what blog posts get cited in ChatGPT, and the through-line is consistent: machine-readable structure beats prose density.
There's also a demand-side explanation. Many of the queries people bring to AI search are comparison and shortlist questions — “best,” “top,” “vs,” “alternatives to.” Listicles exist precisely to answer those questions, so it isn't surprising they get cited disproportionately. This connects to something we've written about repeatedly: bottom-of-funnel, commercial-intent content tends to win in AI search because that's the content that directly answers the decision a buyer is trying to make. A ranked list of options is a bottom-funnel artifact by nature.
So the honest framing isn't “AI loves lists.” It's closer to: AI engines cite content that is tightly scoped to a single intent, cleanly structured, comparison-friendly, and reasonably concise — and the listicle is the format that most reliably produces all four of those traits at once.
Does This Contradict “Precision Over Length”?
If you read our earlier coverage of the AirOps study — which found that ChatGPT citations correlate with traditional ranking and tight content focus rather than the 5,000-word “ultimate guide” approach — you might think the two studies disagree. One says “write listicles,” the other says “be precise and well-ranked.” They actually point in the same direction, and reconciling them gives you a more durable strategy than either headline alone.
Both datasets describe the same underlying page. The AirOps work emphasized that cited pages tend to already rank well in classic search and stay tightly focused on their topic. The Evertune numbers emphasize that cited pages tend to be moderate-length, heavily structured, and list-oriented. Put those together and you get a single profile: a 1,000-to-2,000-word page, narrowly scoped to one intent, organized into clearly labeled and comparable chunks, and already earning conventional search trust. Listicles show up so often not because the format is magic but because it's the easiest container for that profile.
The synthesis, then, is format clarity plus precision — not length. The 5,000-word mega-guide is not what gets cited; it's too broad, too slow to get to the answer, and too hard for a model to chunk cleanly. The practical implication is almost the opposite of the content-marketing reflex from a few years ago. Instead of consolidating everything into one giant pillar, you're often better off breaking a topic into several sharply scoped pages — each one answering a single question or comparing a single set of options well. That's also why ranking still matters: as we explained in why your content doesn't appear in AI Overviews even when you rank on page one, conventional relevance and trust signals remain part of what makes a page eligible to be cited in the first place.
How Should You Restructure Content Without Gaming It?
Here's where the commercial-interest caveat earns its keep. The lazy reading of this study — “spin up fifty ‘Top 10’ posts and watch the citations roll in” — is exactly the strategy most likely to backfire. Google's spam policies explicitly target scaled content abuse (mass-producing low-value pages to manipulate rankings) and thin affiliate pages that copy merchant descriptions without adding original reviews, testing, or comparison. The same Search Engine Land report notes Google has signaled intent to crack down on promotional listicles, and that FTC rules prohibit dressing up a seller-controlled page as an independent reviewer. A wave of shallow lists is a short-term play with real downside.
Google's broader guidance on creating helpful, people-first content makes the same point from the other direction. It explicitly flags content produced mainly to attract search or AI visibility — mass-produced pages, work that merely summarizes others without adding value, and pages built to hit a word count “based on search myths” — and rewards the opposite: demonstrable first-hand expertise, original analysis, clear authorship, and headings that describe rather than sensationalize. A format study is a useful prompt to organize what you know more clearly; it is not a substitute for actually knowing something worth citing.
The honest version of this strategy is about restructuring quality, not manufacturing quantity. In practice, that means:
- Take your best existing pages and make them more retrievable. If you have a strong services or buyer's-guide page buried in narrative paragraphs, restructure it into clearly labeled sections with descriptive H2s and H3s, a comparison table where one fits, and short, self-contained answers near the top. You're not writing a new listicle; you're surfacing the substance you already have.
- Scope pages to a single intent. One page that tries to cover “everything about commercial HVAC” is harder to cite than three pages on “rooftop unit replacement cost,” “best commercial HVAC maintenance plans,” and “signs your commercial system needs replacing.”
- Make claims genuinely comparable and honest. If you publish a ranked or compared list that includes your own offering, disclose that plainly. A list that's transparently your own recommendation is fine; one disguised as a neutral third-party ranking is the exact pattern regulators and search engines are moving against.
- Keep it concise and structured. The cited-page profile is moderate length with frequent headings and links. Tighten sentences, break up walls of text, and link out to credible sources where you make a factual claim.
This is the same discipline we apply across our answer engine optimization guide: structure for machines, write for humans, and never sacrifice usefulness for the appearance of optimization. The format findings are a useful nudge toward clarity, not a license to flood the web with thin lists.
What This Means for Fort Wayne and Northeast Indiana Businesses
For a small business in Fort Wayne, Auburn, or the surrounding Northeast Indiana counties, the most encouraging part of this data is that the winning move is low-lift. You almost certainly already have the raw material — a services page, an FAQ, a “how we work” explainer — that could be restructured into a citation-friendly format in an afternoon, without hiring a content team or competing head-to-head with Forbes.
A concrete, do-it-this-week example: a Fort Wayne HVAC company with a single dense “Services” page can break out a tightly scoped page like “Furnace Repair vs. Replacement: How to Decide (and What It Costs in Northeast Indiana).” Structure it as a short, scannable comparison — clear H2s for each option, a simple table of cost ranges and lifespans, and a two-sentence answer up top — and you've built exactly the kind of moderate-length, list-and-comparison page the study describes, with a local specificity that national publishers can't match. A DeKalb County dental practice could do the same with “What to Expect at Your First Visit: A Step-by-Step Guide,” and a local law firm with “5 Questions to Ask Before Hiring an Estate Attorney in Indiana.”
The local angle is the moat here. National listicles win on authority and volume, but they can't speak to Allen County pricing, Indiana-specific regulations, or the realities of service in a Midwest climate. When an AI assistant fields a question with local intent — “best furnace repair near Auburn Indiana” — specific, well-structured local content has a genuine shot at the citation precisely because the big publishers aren't writing it. That's the same hyper-local advantage we see across Northeast Indiana service businesses: depth on the local question beats breadth on the national one.
Get Help Structuring Content That AI Engines Actually Cite
Restructuring your strongest pages into citation-friendly formats is the kind of project that pays for itself quickly, but it takes a clear eye for which pages to prioritize and how to scope them. Our answer engine optimization service helps Northeast Indiana businesses audit existing content, identify the pages with the best citation potential, and rebuild them for both AI engines and human readers — without resorting to the thin, mass-produced tactics that invite penalties. We start by finding the content you already have that's closest to citation-ready, because that's usually where the fastest wins live. If your content ranks but never gets cited, that gap is exactly what we fix. Get in touch for a content audit and we'll map out where your fastest citation wins are before you change a thing.
Make Your Best Pages Citation-Ready
We audit your existing content, find the pages closest to citation-ready, and restructure them for AI engines and human readers alike — no thin, mass-produced lists.
Frequently Asked Questions
- Do listicles really get cited more by AI search engines?
- In the Evertune study reported by Search Engine Land, listicles accounted for roughly 63% of citations across six major AI models, with about half of the most-cited URLs being lists. That is a strong signal that the format performs well. The important caveat is that the study was produced by a company that sells AI-visibility software, so it is best treated as directional evidence rather than proof. The underlying reason lists do well — tight focus, clear structure, comparable claims — applies to well-built how-to and comparison pages too.
- Does this mean I should stop writing long-form content?
- Not necessarily, but it does mean reconsidering the 5,000-word "ultimate guide" as your default. The cited-page profile in the study clustered around 1,000 to 2,000 words with heavy structure. Long-form still has a place for genuinely deep topics, but you are often better off breaking a broad subject into several sharply scoped pages, each answering one question well, rather than one sprawling page that is hard for an AI engine to chunk and cite.
- What kind of listicle gets cited most?
- Ranked lists — pieces structured like "Top 5 CRM Tools" or "Best Accounting Software for Freelancers" — made up the large majority of cited list content in the study, roughly 71% to 86% of listicles depending on the model. Formal institutional rankings were a much smaller share. The common thread is a clearly ordered, comparison-driven structure tied to a single buying decision.
- Won't mass-producing listicles get my site penalized?
- It can. Google spam policies specifically target scaled content abuse and thin affiliate pages that add no original value, and Google has signaled it will crack down on promotional listicles. The safe approach is to restructure your best existing content into clearer, more useful formats rather than churning out shallow lists. Quality and genuine usefulness still govern long-term performance.
- How is this different from older SEO advice?
- Traditional SEO often pushed comprehensive, keyword-dense pillar pages to capture as many queries as possible. AI citation behavior rewards the opposite in some respects: concise, single-intent, heavily structured pages that a model can lift a clean answer from. Conventional ranking still matters — pages generally need to rank and be trusted to be cited — but the content shape that wins is tighter and more modular than the old "longer is better" reflex.
- How can a Fort Wayne small business compete with national publishers on AI citations?
- You do not out-publish them — you out-specify them. National listicles win on authority and volume, but they cannot speak to Allen County pricing, Indiana-specific regulations, or the realities of service in a Midwest climate. A tightly scoped, well-structured local page — "furnace repair vs. replacement costs in Northeast Indiana," for example — has a genuine shot at the citation when someone asks an AI assistant a question with local intent, precisely because the big publishers are not writing it. For a Fort Wayne or DeKalb County business, depth on the local question beats breadth on the national one.
- What's the fastest way for a small business to act on this?
- Pick your two or three strongest existing pages and restructure them: descriptive H2/H3 headings, a short answer near the top, a comparison table where one fits, and tightened sentences. Then consider splitting any overstuffed page into a few single-intent pages. This is far faster and safer than producing a pile of new listicles, and it builds on authority your existing pages may already have.
Sources & Further Reading
- Search Engine Land: searchengineland.com/ai-search-loves-listicles-what-25000-urls-reveal-about-citations — AI search loves listicles: What 25,000 URLs reveal about citations (May 19, 2026).
- Evertune: evertune.ai/resources/ai-search-statistics-for-generative-engine-optimization — AI Search Statistics for Generative Engine Optimization (note: Evertune sells AI-visibility tooling).
- Google Search Central: developers.google.com/search/docs/essentials/spam-policies — Spam policies for Google web search.
- Google Search Central: developers.google.com/search/docs/fundamentals/creating-helpful-content — Creating helpful, reliable, people-first content.