What Content Do AI Models Cite Most: Listicles, Comparisons, or Brand Content?

The format that gets cited depends on the prompt

Use this table as the roadmap. Find the prompt shapes that matter in your category, then read across to see what to build or earn.

The evidence behind each row appears below. The table itself is an editorial synthesis. No single study measured all six rows together.

Why "most cited format" statistics mislead

Headline statistics average across every kind of question, and that hides the pattern that matters. In Wix's study of about 1.06 million citations from ChatGPT, Google AI Mode and Perplexity (collected on Peec AI's platform), comparison pages made up under 3% of all citations. Query intent predicted the cited content type better than either industry or AI model did (Wix).

The same format behaves very differently once results are split by question shape. Stanislav Peev's pilot found this pattern:

• "Best X" prompts: 84% of citations went to listicles and 1.8% to comparison pages.
• "X alternatives" prompts: 86% went to comparison-shaped pages.
• "X vs Y" prompts: 98% went to comparison pages.

The two findings don't contradict each other. Comparison pages are rare across all prompts because most prompts don't ask for a comparison. When a prompt does ask for one, comparison pages take nearly every citation. Peev's pilot is small: 18 answers and 176 citations in one software category, collected on one day. Its value is showing the logic, not proving the percentages.

The takeaway: a blended share tells you how common a question type is. It tells you nothing about how to win that question.

Listicles: win "best X" prompts by getting included, not by ranking yourself first

Listicles lead commercial intent. They accounted for 40.9% of commercial-intent citations in the Wix data, against 6.2% for articles. At page level, Parse found that 1,200 of the 2,000 most-cited pages in ChatGPT Search and Google AI Mode carried "best" in the title. Only 45 were "X vs Y" pages (Parse). Parse classified titles by keyword alone, and "best X" prompts are simply common, so this partly reflects demand.

What matters is whose listicle gets cited. Among the top 1,000 professional-services URLs in Wix's sample, third-party listicles took 80.9% of listicle citations and self-promotional ones took 19.1%. VisibleIQ found independent comparisons cited at nearly three times the rate of vendor-published ones (VisibleIQ).

What to do:

1. Run your top five "best [category]" prompts in each engine you care about. Record which roundups get cited.
2. Pitch those specific publishers for inclusion. Bring something they can use, such as current pricing, a clear differentiator and a named use case.
3. Don't stop at a directory profile. G2's most-cited pages are its editorial roundups, not its product profiles (Parse). Directories took only 1.5% of citations in VisibleIQ's data.
4. If you publish your own "best X" list, make it balanced and include competitors fairly. VisibleIQ reports that vendor listicles that include competitors can work. Treat them as a supporting tactic, not the main play.

The debate over whether this amounts to AI-era link building is covered in Are Third-Party Listicles Good GEO or Just AI-Era Link Building?.

Comparison pages: own "alternatives" and "vs" prompts

Comparison pages are the format a brand can most realistically own. For "X alternatives" prompts in Peev's pilot, 24% of all citations went to comparison pages on a competing vendor's own domain. That is a large share for first-party content in a category where third parties usually dominate.

The evidence isn't unanimous. VisibleIQ's finding that independent comparisons are cited about three times as often as vendor ones applies here too. The reasonable reading is that your own comparison page can win citations, but only if it's credible. That means it names competitors honestly, states where they're the better fit, and uses specific facts rather than adjectives.

What to publish:

• An "[Your product] alternatives" page that lists real alternatives and the situations each one suits.
• "[You] vs [Competitor]" pages for the two or three competitors buyers most often weigh you against. You're one of the named options, so the page matches the prompt exactly.
• Qualified variants where buyers use them, such as "alternatives for small teams" or "vs [Competitor] for agencies."

A good comparison page reads like the answer to the buyer's question. A weak one reads like a feature grid with every row in your favor.

Brand content: AI cites your own site more than people assume, depending on the engine

"AI never cites brand content" is wrong. In the Wix data, product pages led navigational and transactional intent. They took 22.0% and 24.9% of those citations, against 3.5% and 5.6% for articles.

The engine matters a great deal. VisibleIQ's B2B SaaS study found that 74.6% of ChatGPT's product-query citations went to the vendor's own site. On Perplexity, Gemini and Claude, 79% went to third parties. That third-party share reached 93.7% for pricing and "is X worth it" questions. The ChatGPT figure comes from a single-day snapshot, and the authors' explanation for it is their own interpretation.

Independent academic work points the same way for most engines. Chen et al. at the University of Toronto found AI search shows a "systematic and overwhelming bias" toward earned third-party media over brand-owned and social content. They describe this as a stark contrast to Google's more balanced organic results (Chen et al.). They also report a big-brand bias that disadvantages niche players.

What to do: treat your pricing, product, category and documentation pages as citation targets, especially for ChatGPT. Put a current price, a clear statement of who the product is for, and concrete specifications on the page, where an engine can quote them. Don't expect these pages alone to carry you on Perplexity, Gemini or Claude. On those engines, earned coverage does most of the work.

Why the format follows the question

Knowing the mechanism explains why this approach works and why small brands can still win. The GEO paper (KDD 2024) describes how a generative engine answers a question in four steps (GEO paper):

1. It rewrites the question into simpler sub-queries.
2. It retrieves ranked sources for each sub-query.
3. It summarizes those sources.
4. It writes an answer grounded in them, with citations.

The paper notes this closely resembled Bing Chat's design at the time, so current engines may differ in detail.

The practical consequence is that a page already shaped like the question is easy to retrieve and easy to quote. Chen et al., summarizing earlier work, note that LLMs weight textual relevance, such as keyword overlap and semantic similarity, over stylistic signals humans tend to value.

This is where niche brands have an opening. In Peev's pilot, five of the ten citations for one qualified phrasing went to little-known tools that had a page matching the exact words. That is a tiny sample, but the logic holds. A page titled "Asana alternatives for small teams" is a direct match for a sub-query a generic roundup only partly covers.

Whatever the format, make the page easy to justify

Format gets a page considered. Specific content gets it cited. In the GEO experiments, adding citations, quotations and statistics raised a source's visibility by more than 40% on the benchmark and by up to 37% on Perplexity. The authors note that effectiveness varied by domain, and these were controlled edits, so real-world gains will differ. VisibleIQ observed the same pattern in the field: 80% of cited decision-stage pages contained specific numbers.

A before-and-after example (illustrative):

• Weak: "Our tool is affordable and scales with your team."
• Strong: "Plans start at $X per seat per month. Teams over 50 seats get SSO and audit logs."

The second version gives an engine a fact it can extract and attribute.

Engines don't cite the same things, so plan and measure per engine

Perplexity cited about 19 URLs per answer in Peev's pilot, against five each for GPT-4o and Gemini. Its lists overlapped with theirs by only two to five URLs per question shape. Perplexity also leans on discussions: 17.35% of its citations in the Wix data, more than double the 7.52% average. Wix found ChatGPT the most article-heavy and Google AI Mode the most balanced.

Industry shifts the pattern as well. SaaS favored listicles most, at 35.37% of citations, while health and wellness favored articles.

What this means for you:

• ChatGPT: strong owned pages are worth investing in, based on one study.
• Perplexity: earned coverage and community discussion matter more.
• Averages: a single "AI citation share" figure averages lists that barely intersect. Look at each engine separately.

How to tell whether your format bets are working

Citations churn heavily. Parse tracked 9.2 million cited URLs. Only 963,562 of them were cited in the most recent seven days, and just 53,272 were cited five or more times. A single check of a prompt tells you what one answer said once. It doesn't tell you where you stand.

Measure three signals separately, because they aren't interchangeable:

1. Citation: your page appears as a source inside an AI answer. Track this across repeated runs, per engine and per prompt shape.
2. AI crawler visit: a bot such as GPTBot fetched your page. This is a discovery signal, not proof of indexing or citation.
3. Referral and conversion: a person arrived from an AI assistant and did something. Not every AI-originated visit is identifiable, so this undercounts.

When you read any citation study, including the ones in this guide, check six things before trusting the numbers:

• which engine and model were tested
• the collection date
• how many runs were made
• whether the prompts were branded or non-branded
• how formats were classified
• whether the publisher sells AI visibility services

Wix, for example, used only non-branded prompts, so it under-measures brand content on branded queries.

Where Tideflow fits

This guide leads to a specific workflow. You need to see which prompts in your category cite which formats and domains, per engine and over time. Then you need to decide whether each gap calls for a guide, a comparison page or a pitch to a roundup. Finally, you need to check whether the result shows up as citations, crawler activity and conversions without merging those signals into one number.

Tideflow AI is built around that loop. It monitors ChatGPT, Gemini, Perplexity, Google AI Mode and Google AI Overview. It turns visibility gaps into content plans such as writing a guide, creating a balanced listicle or getting included in roundups that are already cited. Its AI bot detection logs crawler requests and explicitly treats them as discovery signals, not citations. Its analytics attribute AI referrals and conversions to landing pages, within the limits of what referrers reveal. You review and approve content before anything is published.

Tideflow is in early access and states plainly that it can't guarantee citations or recommendations. For how it compares with other monitoring tools, see Tideflow AI vs Profound and Tideflow AI vs Peec AI.

Frequently Asked Questions

Does being cited by an AI engine actually drive traffic?

Not reliably, and less than a search ranking once did. Chen et al. cite a Pew study in which users clicked links 8% of the time when an AI summary was present, against 15% without one. Track referrals and conversions from AI assistants directly rather than assuming citations translate into visits.

Does Reddit matter more than my blog for AI citations?

Reddit and other community discussions matter most on Perplexity, where they made up 17.35% of citations in the Wix data. VisibleIQ also argues that engines consult Reddit and G2 more than their citation counts show, though that is the authors' inference, not a measurement. A blog still matters for informational prompts, where articles took 45.5% of citations.

How often should I update pages I want AI to cite?

Refresh pages on a regular schedule, and whenever pricing, features or competitors change. Parse's related research reports that most citations to year-titled pages went to pages titled with the current year. The detailed report behind that figure isn't public in the data reviewed here, so treat it as a signal rather than a rule. Weekly citation churn is the stronger reason to keep cited pages current.

Your next step

Start with your prompts, not your content calendar. This week, list ten prompts buyers ask in your category: three "best X," three "alternatives" or "vs," two pricing, and two how-to. Run each one in ChatGPT and Perplexity and record the format and owner of every cited page. The gaps will show you whether to pitch, publish a comparison or strengthen an owned page first.

For the full outreach and content sequence, continue with How to Get Mentioned by ChatGPT: A Tested, Step-by-Step Playbook.

Sources

• Wix, The content types most cited by LLMs
• Stanislav Peev, AI citations by question shape: best X vs X alternatives (September 2026)
• Parse, What pages AI cites most: best-of listicles dominate
• VisibleIQ, B2B SaaS AI Citation Study
• Chen et al., University of Toronto, Generative Engine Optimization: How to Dominate AI Search
• arXiv, GEO: Generative Engine Optimization
• Tideflow AI, AI Visibility & Content Platform; Detect AI Bots; Add analytics and track views and conversions