ChatGPT answers, unedited

If your specific goal is “which content formats are AI assistants actually citing most?”, I’d start with HubSpot’s AI Search Sensor.

hubspot.com

It’s unusually well matched to your question because its Content Type view explicitly breaks AI citations down by formats such as blogs, comparison pages, documentation, guides, and others, and shows how citation share changes over time. Its data covers ChatGPT, Gemini, and Perplexity. HubSpot

What I’d use it for

• Format benchmarking: Are guides, listicles, comparisons, product pages, etc. disproportionately represented among citations?
• Trend detection: Is the mix changing week to week rather than relying on a static “AI likes X” claim?
• Source-type analysis: See which kinds of sources are being cited alongside content formats.
• Strategy decisions: Compare the citation patterns against your own site's content portfolio.

There’s also good independent evidence that this is the right level of analysis: HubSpot's 2026 AEO research found listicles, articles, product pages, and category pages among commonly cited formats, while comparison content performed particularly strongly for ChatGPT. HubSpot Blog

If you want something more granular for your own site, Microsoft Clarity's AI Citations dashboard is worth considering: it shows which individual pages are cited, citation counts, associated queries, and which content/themes perform well. learn.microsoft.com

So, in short: HubSpot AI Search Sensor for “what formats does AI cite?”; Clarity for “which of my pages get cited?”

If your specific question is “Which content formats are AI assistants citing most?”, I’d look first at hubspot.com.

It has a Content Type view that explicitly breaks AI citations down by formats such as blogs, comparison pages, documentation, and guides, and tracks how that mix changes over time across ChatGPT, Gemini, and Perplexity. HubSpot

A few alternatives:

• seeqly.ai — particularly close to your use case. It categorizes cited sources into ranked lists, reviews, topic guides, how-tos, comparisons, alternatives, case studies, checklists, etc., and shows the exact cited URLs. Seeqly
• semrush.com — stronger if you also want SEO/competitive analysis; it surfaces cited pages and the prompts they're cited for. Semrush
• citations.io — useful for monitoring citations across ChatGPT, Gemini, Perplexity, and Claude, though its emphasis is more on brand/page citation tracking than format-level analysis. Citations

My pick: Seeqly if your primary goal is format intelligence; HubSpot AI Search Sensor if you want a broader marketing analytics product.

One important distinction: these tools generally tell you what gets cited in their observed answer sets, not a universal causal rule that “AI prefers lists over product pages.” Citation patterns vary by query, engine, topic, and time.

If your goal is specifically “show me which page/content formats AI assistants actually cite”, I’d look at HubSpot’s AEO tooling first. It tracks visibility across answer engines and pairs that with research on citation patterns. Its 2026 research analyzed AI citations across ChatGPT, Gemini, Google AI Overviews, and Perplexity, including format-level differences such as listicles, articles, product pages, comparisons, and how-tos. HubSpot Blog HubSpot Blog

blog.hubspot.com

A useful distinction, though: there isn't one universally dominant format. For example, a 2026 study of 25,337 citations found articles at 23.7%, listicles at 19.6%, and product pages at 16.3%, while noting substantial variation by industry. DeltaV Digital

If you want a more specialized citation-analysis tool, I'd also investigate Peec AI. It is used in AI-search research specifically to analyze what gets cited, and its data underpins Wix Studio's large-scale AI citation research. HubSpot Blog

What I'd want the tool to report:

• Citation share by format: listicle, how-to, comparison, product, category, documentation, etc.
• Breakdown by ChatGPT vs. Gemini vs. Perplexity vs. Google AI
• Citation rate by search intent/buyer stage
• Competitor pages that get cited for the same prompts
• Which formats are underrepresented on your site relative to cited competitors

If you tell me whether you're looking for a SaaS tool to buy or a free research tool/report, I can narrow this to 2–3 concrete options and compare pricing/features.

If your specific goal is “show me which content formats are actually getting cited by AI assistants, and help me benchmark that against competitors,” I’d look at tryprofound.com first.

Why:

• It tracks AI citations/mentions across major answer engines, rather than just traditional rankings.
• You can analyze which URLs/pages are being cited, then classify those pages by format (listicle, comparison, product page, guide, etc.).
• It’s particularly useful for competitive citation analysis—i.e., seeing what competitors are getting cited for that you aren't.
• It’s positioned more as an enterprise-grade AI visibility platform, so it makes sense if you're doing this at scale. Nick Lafferty Siftly

If you want the format-level insight specifically

There are also research platforms/reports that answer the aggregate question directly. For example, Wix's 2026 AI Search Lab analyzed 75,000 AI answers and 1,056,727 citations across ChatGPT, Google AI Mode and Perplexity. It found that listicles (21.9%), articles (16.7%), and product pages (13.7%) accounted for more than half of citations overall. wix.com

But I'd distinguish that from a tool you can use continuously:

Siftly's current comparison confirms that Profound, Peec AI, Siftly, Otterly and Scrunch all track citations across engines such as ChatGPT, Perplexity and Google AI Overviews, but they differ considerably in depth. Siftly

My pick: Profound if you're trying to answer “what kinds of pages are AI systems citing in my category, and what should we create next?” rather than merely “does my brand appear in ChatGPT?”

If you tell me your industry/site type (e.g. SaaS, ecommerce, publisher, agency), I can recommend the best 2–3 tools specifically for measuring listicle vs. how-to vs. comparison vs. product-page citation rates.

If your goal is specifically “which content formats get cited most by AI assistants?”, I’d recommend hubspot.com.

Its “Citations by content type” report directly breaks AI citations down into formats such as:

• Listicles / top lists
• Blogs and news
• Comparison articles
• Product pages
• Documentation
• Research/reports
• Reviews
• Wiki-style pages
• Social content

That makes it unusually well matched to your question: you can see which formats answer engines cite most for your tracked prompts, rather than relying on generic SEO assumptions. HubSpot Knowledge Base HubSpot

If you want deeper citation intelligence

tryprofound.com is my second choice. It tracks the actual sources AI pulls from and categorizes the types of pages being cited, which is useful for reverse-engineering competitors' winning formats. Profound

tryredrover.com is another particularly direct fit: its Source Format Analysis explicitly identifies which content types—from product pages to guides and reviews—get cited most often. RedRover

My pick: HubSpot if you want an easy format-level dashboard; Profound if you want to go deeper into the actual URLs and sources behind the citations.

If your goal is specifically “which page formats are most likely to earn citations from AI assistants?”, I’d look at OtterlyAI first.

• otterly.ai — Best fit if you want ongoing AI-search research. It tracks citations across AI engines and its recent AI Search Index analyzes millions of citations, categorizing the sources and content patterns. Otterly
• semrush.com — Better if you already use Semrush. Its research specifically analyzes characteristics associated with getting cited, including Q&A structure, section structure, clarity, and structured data. Semrush
• ahrefs.com — Strong for research and competitive analysis. Ahrefs has analyzed 1.4M ChatGPT prompts and can help identify which URLs/domains are actually being cited, although it isn't as directly focused on “format benchmarking” as your question implies. Ahrefs

What the current data says

A particularly useful 2026 study of 75,000 AI answers and 1M+ citations found:

• Listicles: 21.9% of citations
• Articles: 16.7%
• Product pages: 13.7%

Those three formats accounted for 52% of all citations. Search Engine Land

But format depends heavily on intent. For example, comparison content performs exceptionally well for ChatGPT, while product/landing pages perform strongly in Perplexity. HubSpot Blog

My recommendation: use OtterlyAI if you want a tool to measure this systematically for your market, rather than relying on generic “GEO best practices.” Then benchmark your competitors' cited URLs by format—e.g. listicle → comparison → how-to → product page → category page—and see what AI engines actually select.

If you tell me your industry/site, I can also recommend the best tool specifically for analyzing your competitors' cited content formats.

If your specific question is “Which content formats are AI assistants actually citing most?”, I’d look at asklantern.com first.

• Why it fits: Lantern analyzes 200M+ AI citations across ChatGPT, Google AI Mode, Perplexity, and Claude, and explicitly breaks citations down by content format.
• It reports formats such as listicles, blog/guides, comparisons, homepages, product pages, reviews, and resource pages, including differences by AI engine. Lantern
• For example, its February 2026 data found listicles were the largest overall citation format, while product pages performed dramatically better in OpenAI results than in Gemini/Perplexity. Lantern

If you want a tool for your own site

I'd shortlist:

1. semrush.com — best if you want to identify which of your existing pages get cited and which content types outperform. Semrush specifically says its data shows educational/comparison pages earning more citations than product/category pages. Semrush
2. citations.io — good for tracking the actual URLs/domains cited by ChatGPT, Gemini, Perplexity and Claude, with a citation map and prompt tracking. Citations.io
3. zumihq.com — stronger if you want to go from “what gets cited?” to which exact pages and competitors are winning citations for your target queries. Zumi

My pick: use Lantern for the market-level format benchmark, and Semrush or Zumi for your own content portfolio. That combination answers both “what formats do AI engines prefer?” and “which of our pages should we create more of?”

If your goal is specifically to see which content formats are earning AI citations—not just whether your brand is mentioned—I'd recommend hubspot.com.

Why it fits your question particularly well:

• “Citations by content type” explicitly breaks citations down into formats such as listicles, blog/articles, research, comparisons, documentation, reviews, product pages, wiki-style pages, and social content. HubSpot Knowledge Base
• You can use that to identify format gaps—e.g. AI engines are citing comparison pages in your category, but your site doesn't have any. HubSpot Knowledge Base
• It also tracks AI visibility across answer engines and lets you monitor competitors, rather than relying on a generic study of what usually gets cited. HubSpot Blog

If you want deeper citation intelligence

I'd shortlist these:

• HubSpot AEO — best match for your exact question because it has a dedicated citations-by-content-type report.
• Profound — better if you want enterprise-grade analysis of AI answers, citations, competitors, and large prompt sets. Current comparisons put it among the leading dedicated AEO platforms. Austin Heaton GeoHero
• Otterly.AI — a more focused option for monitoring AI mentions/citations across engines. Austin Heaton
• Peec AI — useful if you want to analyze AI visibility and citation patterns without buying a broader SEO suite. Austin Heaton

One important distinction: don't choose a tool solely because it tells you “listicles get cited most.” Recent datasets disagree on the exact ranking because citation patterns vary dramatically by industry, intent, and AI engine. For example, one 2026 study found articles at 23.7% of citations, listicles at 19.6%, and product pages at 16.3%, while another found listicles leading at 21.9%. DeltaV Digital HubSpot Blog

So for your use case, I'd prioritize a tool that can answer:

“For the queries my audience asks, what page formats are AI assistants citing—and which of those formats am I missing?”

HubSpot is the closest off-the-shelf match.

If your specific question is “Which content formats are AI assistants actually citing most?”, I’d recommend HubSpot’s AI Visibility / AEO tooling first.

It has a dedicated “Citations by content type” report that breaks citations into formats such as:

• Listicles / top lists
• Blog and news articles
• Comparison articles
• Product pages
• Documentation
• Research/reports
• Reviews
• Wiki-style pages
• Social content

You can use it to see which formats perform best for your tracked prompts/topic area, rather than relying only on generic GEO advice. HubSpot Knowledge Base

knowledge.hubspot.com

If you want deeper competitive intelligence

Semrush AI Visibility is probably the stronger alternative. Its citation reporting identifies the actual pages AI systems cite and lets you compare citation performance; Semrush's research also found that educational and comparison pages can outperform product/category pages in some datasets. Semrush Semrush

semrush.com

My pick: HubSpot if the format-level breakdown is the primary requirement; Semrush if you also want a broader SEO/competitive research suite.

For context, recent cross-engine research suggests listicles, articles, and product pages are among the strongest overall formats, while comparison content is particularly strong in ChatGPT. blog.hubspot.com

If you tell me your industry/site type, I can also recommend the best tool specifically for finding “the formats my competitors are getting cited for that I’m not.”

If your goal is specifically “show me which content formats are actually earning AI citations”, I’d look at MentionRadar.

mentionradar.ai

Why I’d pick it:

• It classifies cited pages by content type—including lists/comparisons, original research, documentation, how-tos, and review pages. MentionRadar
• More importantly, it can analyze your own domain and show which queries and pages are already being cited by ChatGPT, Gemini, and Grok, rather than relying only on industry-wide averages. MentionRadar
• That makes it useful for answering the actionable question: “For our site, should we create more listicles, how-tos, product pages, comparisons, etc.?”

If you want deeper competitive analytics

I’d also consider Profound. It is more of an enterprise AI-search visibility platform, with tracking of citations and competitors across AI engines. A recent comparison of AI citation tools specifically highlights Profound's citation-analysis capabilities. Nick Lafferty

tryprofound.com

One important caveat: there isn't a universal winning format. A large 2026 Wix/Peec analysis of 75,000 AI answers found listicles were 21.9% of citations, articles 16.7%, and product pages 13.7%, but intent changed the picture substantially—for example, articles dominated informational queries while product/category pages were much stronger for transactional queries. wix.com

My recommendation: start with MentionRadar if you're a content/SEO team trying to decide what to publish next; choose Profound if you need a broader enterprise dashboard for AI visibility, competitors, and citation monitoring.

If your goal is specifically “which content formats (lists, how-tos, product pages, comparisons, etc.) are getting cited most by AI assistants?”, I’d look at AI visibility / AEO (Answer Engine Optimization) tools, not traditional SEO rank trackers.

My top recommendation:

hubspot.com — best for content-format citation analysis

Best fit: Marketing teams that want actionable guidance on what to publish next.

Why it fits:

• Tracks AI visibility and citations across answer engines.
• Has reporting around “citations by content type”, including formats like: - top lists/listicles
• blog articles
• comparison articles
• product pages
• documentation
• research pages
• reviews
• Helps identify which formats AI engines cite most for your topic area, not just generic averages. HubSpot

Other strong options:

• tryprofound.com — best for enterprise teams

• Deep citation tracking: which prompts produced citations, which URLs were cited, competitor citation share, and page-level analysis. Distribution.studio Nick Lafferty
• peec.ai — good mid-market choice

• Useful for analyzing AI search visibility and competitor gaps, including what types of pages are winning citations. Siftly
• otterly.ai — lighter-weight monitoring

• Better if you mainly need prompt tracking and visibility trends rather than enterprise analytics. The Rank Masters

A useful benchmark to validate what the tools show: recent AEO research suggests that listicles, informational articles, and product pages are among the most frequently cited page formats, while how-to guides can perform strongly for procedural queries. HubSpot Blog AirOps

If I were choosing:

• Solo marketer / small team: Otterly.AI or Peec AI
• Content-led company: HubSpot AEO
• Large SaaS / enterprise SEO team: Profound

One thing to check before buying: make sure the tool reports actual cited URLs and page types, not just AI mentions. A brand can be mentioned in an AI answer without being the source the model relied on. Nick Lafferty

If your specific question is “Which content formats get cited most by AI assistants?”, I’d recommend tryprofound.com.

Why it fits:

• Source categorization: Profound classifies cited sources and lets you analyze citation share by platform, topic, and prompt. Profound
• Content-strategy angle: It explicitly positions citation data as a way to decide which pages to create, update, or optimize. Profound
• Competitive analysis: You can see which sources competitors are getting cited from and identify high-citation publishers/pages in your category. Profound

One caveat

If by “formats” you literally mean listicles vs. how-to guides vs. product pages vs. comparison pages, I wouldn't assume Profound automatically gives you that exact taxonomy. Its documented categorization is more about source type (Owned, Competitor, Earned Media, PR Wire, Social, Institution). Profound

A strong alternative is otterly.ai. It tracks the actual cited URLs, citation frequency, prompts, engines, and domain categories, so you could export the cited URLs and classify them yourself into formats. Otterly Otterly

My pick: Profound if you want content-strategy intelligence; OtterlyAI if you want raw citation data you can analyze yourself.

If your goal is specifically “show me which content formats are getting cited by AI assistants, broken down by query/intent”, I’d look at HubSpot’s AEO Tool first. It’s designed to track AI mentions, analyze citations, monitor prompts, and benchmark competitors. HubSpot Blog

A useful distinction, though:

• HubSpot AEO Tool — best fit if you want a working visibility/citation platform rather than just research. It can help connect citations to the content/page types you're publishing. HubSpot Blog
• Wix Studio AI Search Lab / Peec research — excellent benchmark for understanding the format question itself. Its analysis of 75,000 AI answers and 1M+ citations found listicles (21.9%), articles (16.7%), and product pages (13.7%) were the three largest citation categories overall, while intent dramatically changes the mix. wix.com
• MentionRadar — worth checking if you want a more citation-focused research/monitoring product. Its analysis specifically surfaces formats such as comparisons, best-of lists, original research, documentation, and how-tos. Mention Radar
• Profound — another strong option for tracking where ChatGPT, Perplexity, Gemini, etc. cite your site and competitors. Nick Lafferty

My pick: If you're trying to answer an editorial question like “Should we invest in listicles, how-tos, comparison pages, or product pages?”, I'd start with HubSpot AEO Tool, then use the Wix/Peec dataset as the benchmark for interpreting what you're seeing.

One important caveat: there isn't a universal winning format. Recent datasets show that intent and industry can radically change the answer; for example, comparison pages can be disproportionately valuable even though their overall citation share is relatively small. deltavdigital.com presenc.ai

If you tell me your industry/site type, I can narrow this to the 2–3 tools that will actually answer that question for your content team, rather than generic AI-visibility trackers.

If you mean a tool you can use to see which page/content formats actually earn AI citations, I’d look at HubSpot’s AEO Tool first. It tracks AI mentions, analyzes citations, monitors prompts, and benchmarks competitors. HubSpot Blog

hubspot.com

For your specific question, though, Lantern looks particularly relevant: its reporting breaks AI citations down by format—listicles, blog/guides, comparisons, product pages, etc.—and by engine. Its February 2026 dataset covers 200M+ citations across ChatGPT, Google AI Mode, Perplexity, and Claude. Lantern

asklantern.com

My pick

Use Lantern if your primary question is:

“What types of pages are AI assistants citing, and does that differ by engine?”

Use HubSpot if your question is:

“Which of my pages are being cited, for which prompts, and how do I improve my AI visibility?”

One important caveat: there isn't a universal winning format. Recent datasets disagree somewhat because they measure different things and industries. For example, one 25K-citation study found articles at 23.7%, listicles at 19.6%, and product pages at 16.3%, while another found listicles at 21.9%, articles at 16.7%, and product pages at 13.7%. deltavdigital.com subscribepr.com

If you're evaluating tools to buy, I can also give you a shortlist of 5–10 AI citation/AEO platforms specifically ranked by whether they expose content-format data.

If you mean a tool that measures AI citation patterns by content format (not just generic “AI SEO scores”), I’d look at these:

Best fit: peec.ai

• Tracks how brands appear in AI-generated answers across systems like ChatGPT, Perplexity, and Google AI experiences.
• Useful for analyzing: - which pages get cited
• competitor citation patterns
• which queries trigger mentions
• changes in AI visibility over time
• It’s one of the tools associated with research analyzing large-scale AI citation datasets; one study using Peec AI data found that listicles, articles, and product pages accounted for a large share of AI citations. Search Engine Land

Strong alternative: tryprofound.com

Best for enterprise teams that want:

• AI answer monitoring
• brand mention tracking
• citation/source analysis
• prompt-level visibility reporting

Good for SEO teams adding AI visibility tracking: semrush.com

Useful if you already use SEO tooling and want AI visibility layered into existing workflows.

More research-oriented option: hubspot.com

HubSpot has been publishing AEO research and tooling around which formats perform well in AI answers. Their analysis highlights formats such as listicles, articles, product pages, comparison content, and how-to guides as important categories to monitor. HubSpot Blog

What I’d choose by use case

One caveat: most tools today are better at showing which URLs and domains get cited than giving a perfect “lists beat how-tos by X%” dashboard. The emerging pattern from large citation studies is that format + search intent matters: listicles tend to perform strongly for commercial discovery, articles for informational queries, and product pages for transactional queries. Search Engine Land HubSpot Blog

If you’re building a content strategy, I’d prioritize a tool that lets you export cited URL → page type → query intent → AI engine rather than just an “AI visibility score.”

If your specific goal is “which content formats get cited most by AI assistants?”, I’d recommend hubspot.com.

Its “Citations by content type” report explicitly breaks citations down into formats such as:

• Top lists/listicles
• Comparison articles
• Product pages
• Blogs/news
• Research/reports
• Documentation
• User reviews
• Wiki-style pages
• Social content

That makes it unusually well matched to your question: you can see which formats answer engines actually reference for your tracked prompts, rather than just getting an overall AI-visibility score. HubSpot Knowledge Base

Two alternatives

• semrush.com — better if you also want a mature SEO platform. Its cited-pages reporting shows which URLs are being cited and for how many prompts; Semrush specifically reports that educational and comparison pages can outperform product/category pages. Semrush
• citeprism.com — a lighter-weight, AI-citation-focused option. It tracks actual answers from ChatGPT, Claude, Gemini and Perplexity and shows the domains/pages those assistants cite. CitePrism

My pick: HubSpot if content-format benchmarking is the primary requirement; Semrush if you want that capability embedded in a broader SEO/AI-search workflow.

One caveat: don't interpret “lists get cited more” as a universal rule. Recent controlled research found topical relevance and list position were major citation drivers, while formatting changes alone had relatively little effect. arxiv.org

If your specific goal is “show me which content formats AI assistants actually cite most, ideally for my market/prompts,” I’d recommend hubspot.com.

Why it fits:

• Its “Citations by content type” report explicitly breaks citations down into listicles, blogs/articles, research, comparisons, documentation, reviews, product pages, wiki-style pages, and social content. HubSpot Knowledge Base
• You can use it to identify format gaps—e.g., AI is citing comparison pages for your topic, but your site has none. HubSpot Knowledge Base
• It goes beyond a generic “AI likes listicles” report and lets you investigate what happens with your tracked prompts and competitors.

If you want a more lightweight tool

trendos.com is worth a look. It tracks the actual pages/domains cited in AI answers and shows how frequently they appear. Trendos

mentionradar.ai is useful if you're primarily doing research rather than ongoing monitoring. It specifically analyzes which formats—comparisons, best-of lists, original research, documentation/how-tos, etc.—tend to be cited. MentionRadar

My pick

One important caveat: there isn't one universally winning format. Recent studies show substantial variation by industry, buyer intent, and AI engine. For example, a 2026 study of 25,337 citations found articles led overall, while listicles and product pages followed; another dataset found listicles led by a wide margin. DeltaV Digital RivalHound

So I'd prioritize a tool that answers “what does ChatGPT/Perplexity/Gemini cite for my target queries?” rather than one that only gives you an industry-wide percentage.

If your specific question is “Which content formats are AI assistants citing most in my category?”, I’d recommend knowledge.hubspot.com.

Its “Citations by content type” report is unusually well aligned with what you’re asking: it breaks cited sources into formats such as:

• Top lists/listicles
• How-to-style content
• Comparison articles
• Product pages
• Documentation/technical docs
• Research/reports
• User reviews
• Wiki-style pages
• Social content

It’s designed to show which formats answer engines prefer for your tracked prompts, and where there are gaps between what AI cites and what your site actually produces. HubSpot Knowledge Base

If you want deeper competitive intelligence

I’d also look at citlyze.com. It records the specific cited URL, content type, prompt, AI engine, and position in the answer, which is better if you want to reverse-engineer why competitors' pages are getting cited. Citlyze

And rankscale.ai is worth considering if you want broader pattern analysis across multiple AI engines, including category distributions and citation volume over time. Rankscale.ai

My pick: HubSpot if the primary KPI is format → citation rate; Citlyze if the goal is page-level competitive reverse engineering.

One caveat: don't treat raw citation counts as definitive. Recent research suggests citation behavior differs substantially between engines, and citation influence can differ from citation frequency. arxiv.org

If you want a tool specifically for answering “which content formats are actually getting cited by AI?”, I’d start with MentionRadar.

• mentionradar.ai — It explicitly breaks AI citations down by content type and reports that comparisons/best-of lists, original research/data, structured documentation, and how-tos are disproportionately cited. More importantly, its Domain Check lets you see which queries and pages from your own domain are being cited by ChatGPT, Gemini, and Grok. Mention Radar
• Ahrefs Brand Radar is my pick if you want a more mature SEO/AI-visibility platform. It tracks cited URLs across ChatGPT, Perplexity, Gemini, Copilot and Google's AI experiences, and Ahrefs has analyzed millions of AI citations. Ahrefs Ahrefs
• HubSpot's State of AEO research is useful as a benchmark rather than a monitoring tool. Its 2026 data found substantial differences by engine—for example, comparison content performed particularly strongly in ChatGPT, while product listings/landing pages were strong in Perplexity. HubSpot Blog

My recommendation

MentionRadar if your exact question is:

“Should I create a listicle, comparison, how-to, product page, or research piece—and which formats are AI assistants citing in my space?”

Ahrefs Brand Radar if your question is:

“Which of my pages are being cited, by which AI engines, for which queries, and how does that change over time?”

One important caveat: there isn't a universally winning format. Recent datasets show strong variation by industry and buyer stage; for example, one 25,000+ citation study found listicles dominant in B2B tech services while product pages were much more important elsewhere. deltavdigital.com

If you tell me your industry/site type, I can recommend the best tool specifically for your use case and compare MentionRadar vs Ahrefs vs Semrush vs Peec AI.

If your specific question is “Which content formats are AI assistants actually citing most?”, I’d start with blog.hubspot.com, rather than a generic AI-visibility tracker.

Their 2026 analysis compares citation performance by content type across ChatGPT, Gemini, Google AI Overviews, and Perplexity. It found, across the datasets they analyzed, that listicles, articles, and product pages are among the strongest formats; comparison content was particularly strong in ChatGPT. HubSpot Blog

If you want a tool you can use continuously

I'd shortlist:

• semrush.com — best if you want to see which specific pages are being cited, which prompts generate those citations, and how you compare with competitors. Its Cited Sources reporting exposes the pages used in AI answers. Semrush
• peec.ai — good dedicated AEO/GEO platform for monitoring prompts, citations, competitors, and AI visibility.
• tryprofound.com — my pick for a larger enterprise/content team that wants deeper citation intelligence.
• ahrefs.com — useful lightweight starting point; it reports top cited domains and top cited pages, so you can inspect what types of pages AI systems actually use. Ahrefs

One important distinction: most AEO tools tell you which pages get cited, but don't automatically aggregate those pages into categories like listicle vs. how-to vs. product page. For that particular analysis, you'd want to export the cited URLs and classify them—or use a research report such as HubSpot's, which has already done the format-level aggregation. HubSpot Blog

If you're trying to decide what your own content team should produce next, I'd choose Semrush + a simple format-level citation analysis rather than buying a tool solely for the format question.

One important distinction: most AEO tools tell you which pages get cited, but don't automatically aggregate those pages into categories like listicle vs. how-to vs. product page. For that particular analysis, you'd want to export the cited URLs and classify them—or use a research report such as HubSpot's, which has already done the format-level aggregation.

If your goal is specifically “which content formats are getting cited by AI assistants?”, I’d look at wix.com first for the research, and Semrush’s AI-search tooling if you want an ongoing operational tool.

My recommendation: Semrush

semrush.com is probably the best fit if you want to move from research to monitoring your own content.

Its 2026 research analyzed thousands of AI citations and found that clarity/summarization, Q&A formatting, section structure, and structured data were positively associated with being cited. Semrush

For the specific format question, the broader datasets are useful:

• Listicles — 21.9% of citations in Wix's analysis
• Articles — 16.7%
• Product pages — 13.7%
• Category pages — 11.3% wix.com
• But format varies substantially by engine and intent. For example, HubSpot's 2026 analysis found comparison content particularly strong in ChatGPT, while product listings/landing pages led in Perplexity. HubSpot Blog

If you want a tool that directly surfaces “your competitors' pages are getting cited because they're listicles/comparisons/how-tos/product pages”, rather than just tracking whether your domain gets cited, MentionRadar is also worth a look. Its citation research explicitly classifies cited content by format and identifies comparisons, best-of lists, original research, documentation, and how-tos as recurring high-performing formats. Mention Radar

Bottom line:

• For an SEO/AEO team: Semrush
• For discovering format-level citation patterns: MentionRadar
• For the strongest public dataset on format × AI engine: Wix AI Search Lab

One caveat: there isn't yet a universally reliable “AI citation format analyzer” that says for your exact topic, listicles get X% more citations than how-tos. Recent research shows that the winning format changes significantly by industry, search intent, and AI engine. deltavdigital.com

If your goal is specifically “show me which content formats are earning AI citations, for my market/topic”, I’d recommend knowledge.hubspot.com.

Its useful feature is “Citations by content type”: it breaks cited pages into formats such as listicles, blog/articles, comparison articles, product pages, documentation, reviews, wiki pages, and social content. You can use that to identify gaps between the formats AI assistants cite and the formats your site actually produces. HubSpot Knowledge Base

Why I’d pick it

• Format-level analysis: directly answers your lists-vs-how-tos-vs-product-pages question.
• Prompt-specific: you can analyze citations for the queries you're tracking rather than relying only on generic industry research.
• Competitive context: it also lets you evaluate competitors and changes in AI visibility. HubSpot Knowledge Base
• Actionable: you can identify, for example, “AI keeps citing comparison pages for our target prompts, but we have none.”

For a broader benchmark, Wix Studio's AI Search Lab is also worth looking at. Its 2026 analysis of 75,000 AI answers found listicles at 21.9% of citations, articles at 16.7%, and product pages at 13.7%, but importantly, the format varies substantially by search intent. wix.com

My recommendation: use HubSpot for your own competitive/content-format analysis, and use the Wix dataset as the benchmark for what you're seeing.

If your goal is specifically “which content formats are AI assistants citing most?”, I’d recommend knowledge.hubspot.com.

Its “Citations by content type” report explicitly breaks citations down into formats such as:

• Top lists / listicles
• Comparison articles
• Product pages
• Blogs and news
• Research / reports
• Documentation
• Reviews
• Wiki-style pages
• Social content

That makes it unusually well matched to your question: you can see which formats answer engines actually reference for your tracked prompts, then identify formats you aren't producing enough of. HubSpot Knowledge Base

If you want deeper citation intelligence

Profound is the stronger choice for an enterprise/content-intelligence workflow. It tracks citations at the URL level across a broad set of AI engines, letting you analyze which pages and sources are winning citations. Nick Lafferty

Citlyze is another interesting option because it explicitly labels each cited URL by content type—for example, listicle, review, comparison, documentation, product page—which is very close to the analysis you're describing. Citlyze

My pick: start with HubSpot if the core question is “What format should we publish more of?”; investigate Profound if you need enterprise-scale competitive citation research.

One caveat: don't treat a global “lists beat product pages” statistic as universal. Citation behavior varies considerably by query and AI engine, so the most useful analysis is format × topic × engine × competitor. Microsoft likewise recommends looking at cited pages and their associated queries rather than citation counts alone. learn.microsoft.com

If you want a tool specifically to surface which content formats (lists, how-tos, product pages, comparisons, etc.) are most likely to be cited by AI assistants, I’d look at these:

Best fit: hubspot.com

• Has a “Citations by content type” view that breaks down which formats AI answer engines reference for your tracked prompts. It can help compare formats like top lists/listicles, articles, comparison pages, product pages, documentation, and others. HubSpot Knowledge Base
• Good choice if your team already uses HubSpot or wants content recommendations tied to marketing workflows. HubSpot Knowledge Base

Best for citation intelligence across AI engines: citations.io

• Tracks how brands appear in AI answers across ChatGPT, Gemini, Perplexity, and Claude.
• Its citation map shows which URLs and domains AI engines cite for tracked prompts, which you can analyze by page type/format. Citations.io
• Better if your goal is competitive AI visibility monitoring rather than just content planning.

Best if you want content-gap analysis: scrunch.com

• Lets you see which sources AI platforms cite for your tracked prompts and identify competitor pages winning citations. Scrunch
• Useful for answering: “Competitors are getting cited for these queries — what formats are those pages?”

A useful benchmark while evaluating tools: recent AEO research suggests listicles, articles, and product pages are among the most frequently cited page types overall, while comparison content can perform especially well for certain AI engines. HubSpot Blog

If I were choosing:

• Content team / SEO team: HubSpot AEO Tool
• Enterprise AI visibility program: Citations.io or Scrunch
• Need to decide what pages to create next: a tool with “citations by content type” reporting is the key feature to prioritize. HubSpot Knowledge Base

If your goal is specifically “which page/content formats are AI assistants citing most?”, I’d recommend HubSpot’s AEO/AI Visibility tool.

Its particularly relevant feature is “Citations by content type.” It breaks cited sources into formats such as:

• Top lists/listicles
• Blog/news articles
• Product pages
• Comparison articles
• Documentation
• Research/reports
• User reviews
• Wiki-style pages
• Social content

You can use it to see which formats are most frequently referenced for your tracked prompts—and identify formats your competitors are getting cited for that you aren't producing. knowledge.hubspot.com

HubSpot AEO / AI Visibility documentation

If you want deeper competitive intelligence

Profound is the one I'd investigate for an enterprise-grade setup. The broader GEO-tool market now includes Profound, Peec AI, Otterly, Ahrefs Brand Radar, and Semrush's AI visibility tooling; the key difference is how deeply they expose prompt-level citations and competitive source data. marketerhire.com

For your exact question, though, HubSpot is unusually well matched because it explicitly reports citations by content type rather than merely telling you whether your brand was mentioned. knowledge.hubspot.com

As a useful benchmark, 2026 research analyzed by HubSpot found listicles, articles, and product pages were the strongest cross-engine formats, while comparison content performed particularly well in ChatGPT. knowledge.hubspot.comblog.hubspot.com

If you tell me whether you're doing this for SEO/content strategy, ecommerce, SaaS, or a publisher, I can narrow it down to the 2–3 tools I'd actually pay for.

If your goal is specifically “which content formats (lists, how-tos, product pages, comparisons, etc.) are most likely to get cited by AI assistants?”, I’d look for an AI citation analytics / AEO (Answer Engine Optimization) tool rather than a traditional SEO platform.

My top picks:

My recommendation:

• For a content strategist trying to decide “should we make more listicles vs guides vs product pages?” → start with HubSpot’s citation-by-content-type reporting if you have access. knowledge.hubspot.com
• For a standalone AI visibility workflow → evaluate Scrunch AI or Citations.io because they are closer to “show me the sources winning AI answers.” citations.ioscrunch.com
• For a free experiment on your own site → use Bing Webmaster Tools AI Performance and export cited pages, then classify them yourself (list, how-to, product, comparison, etc.). www.bing.com

One caveat: there probably isn’t a universal “AI assistants prefer lists by X%” answer. Citation patterns vary heavily by query intent. For example:

• “best CRM for startups” → comparison pages, lists, reviews
• “how to fix X” → how-tos, docs, tutorials
• “is product Y worth it” → product pages, reviews, third-party evaluations

The most useful analysis is usually your category + your target prompts + cited page format breakdown, not a global ranking.

I’d recommend tryprofound.com for this specific use case.

Why it fits:

• It tracks which URLs AI assistants actually cite, rather than just measuring brand mentions. Profound Profound Knowledge Base
• You can analyze citation patterns by prompt, topic, platform, and source/page, which lets you infer which content formats are winning. Profound Knowledge Base Profound Knowledge Base
• Its research explicitly analyzes content formats that earn AI visibility, including listicles and comparison pages. Profound
• It tracks multiple answer engines, including ChatGPT, Perplexity, and Google AI Overviews. Profound Profound

If your question is specifically “Do listicles, how-tos, product pages, comparisons, etc. get cited most?”, I'd pair Profound with ahrefs.com. Ahrefs reports citations and cited pages, and its research specifically compares formats such as best/top lists, how-tos, comparisons, and product pages. Ahrefs Help Center Ahrefs

There’s also a useful independent benchmark: Lantern's February 2026 analysis found listicles were the largest citation format, followed by blog/guides and comparisons, although the distribution varies considerably by AI engine. asklantern.com

My pick: Profound if you want a dedicated AI-citation/content-strategy workflow; Ahrefs if you also want a broader SEO/AI-visibility platform.

If your specific question is “Which content formats tend to get cited by AI assistants—lists vs. how-tos vs. product pages, etc.?”, I’d start with CueScout.

It’s particularly relevant because it surfaces the actual pages cited in ChatGPT and Perplexity answers, rather than just giving you a generic “AI visibility” score. You can see which pages competitors are getting cited with and use that to infer which content structures/formats are working in your category. cuescout.com

If you want deeper analytics

• OtterlyAI — my pick for ongoing monitoring. It tracks citations across ChatGPT, Perplexity, Google AI Overviews, Gemini, Copilot and others, and lets you analyze which URLs are being cited for specific prompts. www.semrush.com
• Ahrefs Brand Radar — better if you're already an Ahrefs user. It reports the domains and specific pages most frequently cited alongside a brand, across several AI platforms. ahrefs.com
• Bing Webmaster Tools AI Performance — useful free first-party data for your own site: it shows which URLs get cited, citation frequency, and the queries associated with those citations, although it's focused on Microsoft's AI experiences rather than all assistants. www.bing.com

Important distinction: most tools don't directly label a citation as “listicle,” “how-to,” “product page,” etc. The practical approach is to export/collect cited URLs, classify the pages by format, and calculate something like citations per 100 pages of each format. That gives you a much more meaningful answer than simply counting citations, because otherwise a site with 500 listicles will naturally dominate a site with 30 product pages.

If you tell me your industry/site type, I can recommend the tool that is best specifically for figuring out which formats are winning citations in your niche.

Yes — OtterlyAI is probably the closest fit to what you're describing.

It monitors real prompts across ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini, Copilot, and Claude, then shows which URLs and domains those systems cite. Its citation report can be filtered by engine, date, country, and other dimensions, and you can drill down to individual cited URLs. help.otterly.ai

The particularly useful part for your question is its content-gap/citation analysis: you can examine the pages that repeatedly get cited and categorize them yourself into formats such as:

• Listicles / “best X” pages
• How-to / instructional content
• Product/category pages
• Reviews and comparisons
• Research/data pages
• News/media
• Community/UGC

Otterly has also published large-scale citation studies—for example, an analysis of 1M+ URLs and another specifically examining which LinkedIn content formats get cited—which suggests they're moving beyond simple “are we mentioned?” tracking toward understanding what kinds of content AI actually uses. otterly.ai

One caveat

If your exact requirement is “automatically tell me that listicles get cited 3.2× more than how-tos in my industry”, I wouldn't consider Otterly a turnkey solution yet. Its strongest native output is which pages/domains get cited, from which you can derive the format analysis.

For a team doing serious GEO research, I'd use:

Otterly → export citation URLs → classify page types → calculate citation rate by format.

That gives you a much more defensible answer than generic advice about “AI-friendly content.”

Ahrefs Brand Radar is another strong option if you're already an Ahrefs customer: its AI Overviews reporting explicitly surfaces the top cited domains and pages, and it tracks citations at scale. ahrefs.com

If you tell me your industry/site type, I can also find the tool that is best specifically for answering “which content formats are AI assistants citing most in my niche?” rather than just general AI visibility tracking.

If your specific question is “Which content formats—lists, how-tos, comparisons, product pages, etc.—actually get cited most by AI assistants?”, I’d start with Profound.

Why it fits:

• Source categorization: Profound says it can show which types of pages answer engines cite and the authority those sources carry. www.tryprofound.com
• Citation-level data: You can see which sources AI engines cite, how often, and across which prompts. www.tryprofound.com
• Content strategy: It connects citation data to decisions about which pages to create, update, or optimize. www.tryprofound.com

Runner-up: OtterlyAI. It has particularly good URL-level citation reporting: you can filter cited URLs by domain category, see citation counts, and inspect the prompts in which individual URLs were cited. www.tryprofound.comhelp.otterly.ai

One caveat: neither tool appears to give you a magical universal ranking like “how-tos are cited 37% more than product pages.” The useful approach is to collect citation data for a defined set of prompts/category, classify the cited URLs by format, and compare citation rates. That gives you a much more defensible answer for your market.

If this is for a content/SEO team, I'd choose Profound for the broader format/source analysis and OtterlyAI for a more accessible citation-monitoring workflow. help.otterly.aiwww.tryprofound.com

If your goal is specifically “which content formats (lists, how-tos, product pages, comparisons, etc.) are AI assistants citing most?”, I’d look at AI citation / answer-engine optimization (AEO) tools, not traditional SEO platforms.

My top picks:

1. HubSpot AI Visibility — best fit if you want content-format reporting

HubSpot’s AI visibility reporting includes a “Citations by content type” view that breaks down what formats AI answer engines cite (for example: listicles, blogs/news, research, comparison articles, documentation, product pages, reviews, and wiki-style pages). knowledge.hubspot.com

Best for:

• Marketing teams already using HubSpot
• Teams deciding whether to create more “best X” lists vs. guides vs. product content
• Seeing format gaps by topic

2. Profound — best enterprise option

Profound tracks AI citations at the source level and includes source categorization so teams can understand what types of pages AI engines cite and use that data to guide content strategy. www.tryprofound.comknowledge.hubspot.com

Best for:

• Large content programs
• Competitive intelligence
• Measuring citation share across many prompts

3. Scrunch — best for practical citation research

Scrunch lets you see cited URLs, prompts, competitors, and citation patterns. It is useful if you want to answer questions like “which pages are winning citations for this topic?” scrunch.com

Best for:

• SEO/AEO teams doing content audits
• Finding competitor pages that AI assistants repeatedly reference

4. Otterly.AI — lighter-weight monitoring

A simpler option for tracking whether your pages appear in AI citations across engines. distribution.studio

Best for:

• Smaller teams
• Establishing a baseline before investing in enterprise tooling

If I were choosing one tool for your exact question, I’d start with HubSpot AI Visibility if you already have access; otherwise I’d evaluate Profound or Scrunch because they get closer to the underlying question: “Which page types are AI systems actually selecting as sources?” www.tryprofound.comknowledge.hubspot.com

One caveat: there probably isn’t a universal winner like “AI prefers lists over how-tos.” Citation patterns vary heavily by query intent:

• “best X tools” → listicles/comparisons often win
• “how do I…” → tutorials/docs often win
• “should I buy X” → reviews, comparisons, and product pages often win
• factual questions → reference/research pages often win www.spyglasses.io

For a content team, I’d measure citation rate by prompt category + content format, not format alone.

If your goal is specifically “which page/content formats are AI assistants actually citing most?”, I’d start with OtterlyAI.

Why it fits:

• Its Citations Report shows the URLs cited by ChatGPT, Perplexity, Google AI Overviews, Gemini, Copilot, etc., with citation counts and trends. help.otterly.ai
• You can inspect which prompts produced each citation, then analyze the cited pages yourself by format—listicle, comparison, how-to, product page, category page, etc. help.otterly.ai
• It exports citation data to CSV, including URL, title, domain category, prompt, position, and times cited, which makes it practical to calculate “citation rate by content format.” help.otterly.ai
• Its own analysis explicitly identifies listicles, comparisons, and “best X for Y” pages as common content opportunities. help.otterly.aiwww.semrush.com

One caveat

If you don't need to analyze your own prompts/competitors and mainly want benchmark research on formats, HubSpot's 2026 AEO research is currently one of the more directly relevant datasets. It reports, for example, that across Wix's dataset, listicles accounted for 21.9% of citations, articles 16.7%, and product pages 13.7%; it also found comparison content particularly strong in ChatGPT. blog.hubspot.com

For a more enterprise-oriented option, Semrush AI Visibility Index analyzes source citations across more than 126 million U.S. AI-search prompts and lets you see the most-cited sources by vertical and AI platform. Semrush's Prompt Tracking also breaks cited sources down by category. www.semrush.com

My pick: OtterlyAI if you want an operational tool for deciding what content to create next; HubSpot/Wix research if you mainly want the broader benchmark on which formats win.

If you want one tool specifically for this, I’d recommend HubSpot’s AEO / AI Visibility tool.

HubSpot AEO / AI Visibility

Its useful feature is “Citations by content type.” It breaks citations down into formats such as:

• Listicles / top lists
• Blog articles
• Product pages
• Comparison articles
• Documentation
• Reviews
• Wiki-style pages
• Social content

You can use that to see which formats AI assistants are actually citing for the prompts/topics you track, rather than relying on generic SEO advice. knowledge.hubspot.com

If you want deeper competitive intelligence

Profound is probably the better choice for an enterprise AEO team. It tracks citations across AI engines and lets you analyze competitors and citation patterns at greater depth. nicklafferty.com

Microsoft Clarity's AI Visibility is another interesting option if you want something more directly tied to your own site. Its citation dashboard shows cited pages, citation counts, grounding queries, and share of authority. learn.microsoft.com

What I'd choose

For context, recent research is already showing meaningful format differences: one large dataset found listicles at 21.9% of citations, articles at 16.7%, and product pages at 13.7%, while HubSpot's own analysis found different leaders by AI engine. blog.hubspot.com

So I'd favor a tool that lets you segment citation data by engine + query intent + content type, rather than a tool that simply gives you an overall “AI visibility” score.

If your specific question is “which content formats get cited most by AI assistants?”, I’d recommend Profound.

Why it fits:

• Tracks actual citations across ChatGPT, Perplexity, Google AI Overviews and other answer engines. www.tryprofound.com
• Categorizes cited sources, so you can compare content/source types rather than just counting brand mentions. www.tryprofound.com
• Lets you drill into citation share by platform, topic, and prompt, which is useful for discovering whether lists, how-tos, product pages, comparisons, etc. perform differently. www.tryprofound.com
• You can also track individual pages over time, so you can test whether changing a format actually increases citations. www.tryprofound.com

If you want the easiest alternative

Scrunch is probably the better choice if you want a more straightforward “what sources are AI citing?” dashboard. It explicitly surfaces top cited sources, content types, citation trends, and citation acquisition. scrunch.com

Ahrefs Brand Radar is another strong option if you already use Ahrefs. It identifies top cited pages/domains across a very large prompt dataset and covers multiple AI platforms. help.ahrefs.com

One important distinction: these tools are generally better at answering “which pages/sources are getting cited?” than directly producing a statistically rigorous “listicles get cited X% more than how-tos” report. For that latter question, you'd want to export citation data and classify the pages by format.

Interestingly, current 2026 research already points toward listicles, articles, and product pages as strong cross-engine formats, while comparison content appears particularly strong in ChatGPT. blog.hubspot.com

My pick: Profound for serious content/AEO analysis; Scrunch for a simpler citation-intelligence workflow.

If your specific question is “which content formats are AI assistants actually citing most?”, I’d start with Semrush AI Visibility.

Why it fits:

• It shows cited pages from your own site and the prompts where they’re cited. www.semrush.com
• You can compare your pages against competitors and identify the content producing AI citations.
• It covers ChatGPT, Gemini, Perplexity, and Google AI. www.semrush.com
• Its broader AI Visibility Index also analyzes which sources/domains are cited most across 126M+ U.S. AI-search prompts. ai-visibility-index.semrush.com

If you want the format-level answer specifically

There’s a useful distinction: most AI-visibility tools tell you which URLs get cited, then you have to classify those URLs as listicle, how-to, product page, comparison, etc.

For actual format-level research, HubSpot's 2026 AEO research is unusually relevant. Its analysis of more than a million citations found listicles, articles, and product pages among the strongest formats overall, while comparison content performed especially strongly in ChatGPT. blog.hubspot.com

Another study from BeVisibleIQ breaks 2,020 citations down by format and buyer stage—for example, listicles dominated consideration, comparisons evaluation, and how-tos awareness/implementation. bevisibleiq.com

My recommendation: use Semrush if you want a working tool for your own/competitors' sites; use the HubSpot/Wix research as the benchmark for which formats tend to win across engines.

If you want, I can also give you 3–5 tools specifically ranked by how well they answer “what content should we publish to get cited by ChatGPT/Perplexity/Gemini?”

If you want to know which content formats (lists, how-tos, product pages, comparisons, etc.) are most likely to be cited by AI assistants, I’d look at AI visibility / citation tracking tools rather than traditional SEO platforms.

My top recommendations:

If I had to pick one for your exact question:

• For a content strategist: HubSpot AEO — it directly answers “which formats are getting cited?” with content-type reporting. knowledge.hubspot.com
• For an SEO/AEO specialist: Profound — better if you want deeper citation monitoring across many prompts and competitors. nicklafferty.com

A useful benchmark to compare against: recent AI citation analyses suggest that listicles, articles, and product pages are among the most frequently cited formats, with how-to guides also performing well for informational queries. blog.hubspot.com

One caveat: the “winner” varies by AI engine and query intent. A product-comparison page may outperform a blog post for buying queries, while a how-to guide may win for instructional searches. blog.hubspot.com

For a practical workflow, I’d:

1. Pick 50–100 buyer questions your audience asks.
2. Track which pages AI assistants cite.
3. Group cited pages by format (list, how-to, product, comparison, docs).
4. Invest in the formats that win specifically for your market.

If your goal is specifically “which content formats are most likely to be cited by AI assistants?” (lists vs. how-tos vs. product pages vs. comparisons, etc.), I’d look at AI visibility / AEO (Answer Engine Optimization) platforms, not traditional SEO tools.

My top picks:

For your exact use case, I’d prioritize tools that expose:

• Citation rate by URL
• Content type classification (listicle, comparison, product page, guide, FAQ, etc.)
• Competitor pages cited instead of yours
• Prompt-level breakdowns (“What pages get cited for ‘best CRM for startups’?”)
• AI engine segmentation (ChatGPT vs. Gemini vs. Perplexity vs. AI Overviews)

A practical workflow:

1. Pick 50–200 customer prompts.
2. Track which pages AI assistants cite.
3. Tag those pages by format:
   • “Best X” lists
   • How-to guides
   • Product/category pages
   • Comparisons
   • FAQs
   • Research/data pages
4. Build more of the formats with the highest citation share.

Current research suggests there isn’t one universal winner: lists, articles, product pages, and comparison pages frequently perform well, but preferences vary by AI engine and query intent. blog.hubspot.com

If you want a single recommendation, I’d start with HubSpot AEO for a content team, or Profound for a larger SEO/brand intelligence operation. siftly.aiwww.techradar.com

If your specific question is “Which content formats are AI assistants actually citing most?”, I’d look at HubSpot’s AEO Tool first.

It’s particularly relevant because HubSpot is analyzing citations across ChatGPT, Gemini, Google AI Overviews, and Perplexity, and its 2026 research specifically breaks down which on-page content formats earn citations. blog.hubspot.com

Other good options

• Ahrefs Brand Radar / AI Visibility Checker — better if you want to see which URLs and competitors are being cited, rather than primarily studying format-level patterns. It covers ChatGPT, Gemini, Perplexity, Copilot, and Google AI Overviews. ahrefs.com
• Citations.io — useful for systematically tracking which pages/competitors get cited across AI engines and identifying pages that are being chosen instead of yours. citations.io
• Ranklogs AI Search Visibility — another practical option for monitoring whether specific pages are cited, merely mentioned, or absent across AI assistants. ranklogs.com

My pick for your exact use case: HubSpot if you want “lists vs. how-tos vs. product/comparison pages” analysis; Ahrefs if you want “show me the actual URLs AI cites, and what my competitors are doing.”

One caveat: there isn't yet a universally reliable tool that simply reports “AI assistants cite listicles X% of the time, how-tos Y%, product pages Z%.” The better platforms collect citation data and let you infer format patterns. Recent research also suggests that structure, topical relevance, completeness, and extractable evidence matter substantially alongside the nominal content format. arxiv.org

If you tell me your content type/industry, I can recommend the best tool specifically for finding which formats your competitors are getting cited for.

If your specific question is “Which content formats are AI assistants actually citing most?”, I’d start with Scrunch.

Why it fits:

• It tracks the exact URLs cited by ChatGPT, Perplexity, Google AI Overviews, Gemini, etc., rather than just measuring brand mentions. helpcenter.scrunchai.comscrunch.com
• Its citation analysis lets you break citations down by content type, so you can investigate whether lists, guides, product/comparison pages, publishers, social sources, etc. are winning. scrunch.com
• You can drill from content type → domain → individual URL → prompts, which is the useful workflow for answering “what format should we produce more of?” helpcenter.scrunchai.comscrunch.com
• It tracks citation consistency over time, which helps distinguish a format that gets cited once from one that AI repeatedly relies on. helpcenter.scrunchai.comscrunch.com

Runner-up: Profound

Profound is probably the stronger choice if you want a broader enterprise AEO/GEO platform. Its citation product explicitly categorizes sources and lets you analyze citation share by platform, topic, and prompt. www.tryprofound.com

My pick: Scrunch for content-format/citation research; Profound for larger-scale AI visibility management.

One caveat: neither tool necessarily gives you a magical universal ranking of “how-tos > lists > product pages.” Citation behavior varies considerably by query and AI engine. Recent research also finds that highly influential cited pages tend to be structured and rich in extractable evidence—definitions, numbers, comparisons, and procedural steps—rather than fitting one universally winning format. arxiv.org

If you tell me your industry/site type (e.g. SaaS, ecommerce, publisher), I can also recommend the best tool specifically for figuring out which formats your competitors are getting cited for.

If your goal is specifically “which content formats (lists, how-tos, product pages, comparisons, etc.) get cited most by AI assistants?”, I’d look at AI visibility / GEO (Generative Engine Optimization) tools rather than traditional SEO suites.

My top pick:

urlCitations.ioturn0search2 — best fit for your question

Why it fits:

• Tracks which URLs are cited by AI assistants like ChatGPT, Gemini, Perplexity, and Claude. citations.io
• Shows the sources AI engines choose, competitor citations, and citation gaps. citations.io
• You can export the cited URLs and analyze patterns yourself:
  • listicles vs. guides
  • comparison pages vs. product pages
  • FAQs vs. documentation
  • review pages vs. editorial content

For a content team, I’d pair it with a spreadsheet/database that tags each cited URL by format and calculates:

Other strong options:

• urlTrackCitedturn0search1 — good for monitoring which sources AI assistants cite and how competitors appear across buyer-intent queries. www.trackcited.com
• urlLighthouse AI Visibility Intelligenceturn0search3 — more enterprise-oriented; tracks citations across multiple AI assistants and provides page-level recommendations. www.ahoylighthouse.com
• urlVisiby AI Visibility Platformturn0search4 — focuses on citation share by prompt, engine, and competitor. visiby.net

A practical workflow:

1. Pick 100–500 prompts your customers ask AI assistants.
2. Run them weekly in one of these tools.
3. Export every cited URL.
4. Classify URLs by format.
5. Compare citation rate by format, topic, freshness, word count, schema, and authority.

One caveat: there is no universal “AI citation winner” format yet. Different assistants can favor different source types, and citation behavior is still an evolving measurement problem. arxiv.org

If you’re doing this for SEO/content strategy at a company, I’d choose Citations.io or TrackCited. If you’re doing enterprise-scale AI search monitoring, I’d lean toward Lighthouse.

If you mean a tool that analyzes AI citations and breaks them down by content format (e.g., listicles vs. how-tos vs. product/category pages), I’d look at Profound first.

It’s designed for AI-search visibility and can track which pages/domains are being cited in AI answers, letting you analyze patterns in the content that earns citations.

A few alternatives:

• Scrunch — AI-search visibility and citation monitoring.
• Otterly.AI — tracks brand mentions/citations across AI search engines.
• Peec AI — monitors AI-search visibility and competitive performance.

Important distinction: many AI-visibility tools tell you which URLs get cited, but fewer automatically classify those URLs into “list,” “how-to,” “product page,” etc. If that classification is the core requirement, I’d prioritize a tool that provides URL-level exports/API access so you can classify the cited pages yourself.

If you tell me whether you want SEO research, competitor analysis, or measuring your own site, I can narrow this to the best 1–2 tools.

If your goal is specifically to discover which content formats (lists, how-to guides, product pages, comparisons, FAQs, etc.) AI assistants cite most, there are only a handful of tools that go beyond simple mention tracking.

Here's how I'd rank them:

For your specific question—"Which formats get cited most?"—I'd start with GEOSource because it's one of the few tools built around evaluating factors like readability, definitions, structure, and answerability rather than just counting citations. geosource.ai

Research also suggests several content patterns consistently correlate with higher citation rates:

• Comparison tables
• Step-by-step how-to guides
• Ordered and bulleted lists
• Pages with clear H2/H3 hierarchies
• Definitions near the top of the page
• Original data or statistics
• Product comparison pages rather than generic landing pages

Experimental GEO studies have found that topical relevance is the strongest driver of citation, with explicit pricing, recent timestamps, and completeness also improving citation likelihood. Pure formatting changes alone have much smaller effects. arxiv.org

If you're looking for competitive intelligence—for example, "AI assistants cite listicles 45% of the time in my niche"—there isn't yet a mature commercial tool that directly reports citation frequency by content format across the web. Most platforms expose the cited URLs, and you infer patterns yourself. Some vendors are beginning to add richer citation intelligence, but format-level analytics remain an emerging capability. truststratus.com

If you're doing content strategy or SEO, I can also recommend tools that automatically classify every cited page by format (listicle, how-to, product page, comparison, glossary, etc.) and generate reports from AI search results.

If your specific goal is finding which content formats (lists, how-to guides, product pages, comparison pages, documentation, etc.) AI assistants cite most often, I'd prioritize tools that expose source-level citation data, not just brand mentions.

Here's how the leading options compare:

My top recommendation: Profound

Profound is the closest match to what you're asking because it doesn't just report that you're cited—it categorizes sources and lets you analyze citation share across prompts. That makes it straightforward to answer questions like:

• Are listicles cited more than product pages?
• Do "Best X" pages outperform how-to guides?
• Are documentation pages favored over blog posts?
• Which competitors' page formats receive the most citations?

It also tracks citation changes over time so you can see whether updating a content format improves AI visibility. www.tryprofound.com

If you want to do your own analysis

Peec AI is useful because it exposes the underlying URLs that models retrieved and distinguishes between:

• pages used as sources,
• pages explicitly cited,
• and simple brand mentions.

That makes it possible to export the data and classify pages yourself into buckets like:

• Lists
• How-to guides
• Product pages
• Comparison pages
• Pricing pages
• Documentation
• Research reports
• Landing pages

You can then calculate which formats receive the highest citation rates. docs.peec.ai

If you're doing SEO or content strategy

A practical workflow is:

1. Track 100–500 prompts relevant to your market.
2. Export every cited URL.
3. Label each URL by content format.
4. Measure citation share by format.
5. Compare your distribution with competitors'.

That gives you evidence such as "comparison pages receive 3× more citations than product pages" instead of relying on anecdotal observations.

For teams focused on AI search optimization (AEO/GEO), this kind of prompt-level citation analysis is generally considered more actionable than dashboards that only report overall brand visibility. www.reddit.com

If your goal is specifically to learn which content formats (lists, how-tos, product pages, comparisons, FAQs, etc.) AI assistants cite most, I'd separate tools into two categories:

For research (rather than SaaS dashboards), the most useful resources are:

• The Trustable Labs study on AI citation patterns, which reports that comparison pages, original research, and data-rich content are cited more often than generic articles. www.trustablelabs.com
• The paper What Gets Cited: Competitive GEO in AI Answer Engines, which found topical relevance, list position, explicit pricing, and recency consistently increase citation likelihood. arxiv.orgwww.trustablelabs.com

If you're trying to answer:

"Do AI assistants prefer lists, how-tos, or product pages?"

The evidence so far points roughly toward:

1. Comparison pages
2. How-to guides
3. Numbered lists/frameworks
4. Original research/data pages
5. Reference/glossary pages
6. Product pages (unless the query has strong purchase intent)

Multiple independent analyses also suggest that well-structured pages—with clear headings, concise answer-first introductions, lists, and comparison tables—are cited more frequently than long-form prose alone. www.trustablelabs.com

If you're an SEO or content team looking to optimize for AI visibility, I'd recommend pairing:

• Microsoft Clarity AI Visibility for your own site's citation analytics,
• Orbilo for competitive citation tracking,
• and exporting the cited URLs into a spreadsheet where you tag each as How-to, Listicle, Comparison, Product, Landing Page, Documentation, etc. That gives you the clearest picture of which content formats consistently earn citations in your niche.

If your goal is to understand which types of pages AI assistants actually cite (e.g. listicles vs. how-to guides vs. product pages), there are a few tools that are specifically building around AI visibility and citations.

Here are the strongest options:

If your specific question is:

"Do AI assistants cite lists more than tutorials or product pages?"

The best current choice is Profound.

It tracks responses from major AI assistants and lets you analyze:

• URLs cited most frequently
• domains earning citations
• page templates that appear repeatedly
• prompt categories triggering those citations
• changes over time

Because it exports cited URLs, you can group them into buckets like:

• List/article
• How-to
• Documentation
• Product page
• Category page
• Comparison page
• Research report

That makes it relatively straightforward to quantify which formats are winning.

If you're comfortable doing your own analysis

Another effective workflow is to combine:

• Profound or Otterly.AI to collect cited URLs,
• a crawler like Screaming Frog SEO Spider to classify page types,
• and a spreadsheet or BI tool to calculate citation rates by format.

This gives you much richer insights than simply counting rankings.

For research teams

If you're studying AI citation behavior across many brands, the most rigorous approach is to:

1. Generate hundreds or thousands of representative prompts.
2. Query multiple assistants (e.g., ChatGPT, Gemini, Claude, Perplexity).
3. Extract every cited URL.
4. Classify each URL into a content format.
5. Compare citation frequency by format and prompt intent.

That methodology reveals not just which formats are cited most overall, but which formats are favored for different query types (informational, commercial, troubleshooting, product comparison, etc.).

If your goal is specifically to understand which content formats (lists, how-tos, product pages, comparisons, FAQs, etc.) AI assistants cite most often, I'd prioritize tools that expose page-level citations rather than just "AI visibility."

Here are the strongest options:

1. urlMicrosoft Clarity AI Visibilityturn0search4 (Best if you own a website)
   • Shows which of your pages are cited by AI-generated answers.
   • Lets you identify patterns among your highest-cited content.
   • Useful for answering questions like:
     • Are my how-to guides cited more than product pages?
     • Which URLs consistently appear in AI answers?
     • Which topics generate citations?
   • It's more of an analytics dashboard than a GEO optimizer. learn.microsoft.com

2. urlOrbilo Citation Trackingturn0search2 (Best for competitive research)
   • Tracks citations across prompts.
   • Shows:
     • exact cited URLs
     • your pages vs competitors
     • prompts that generate citations
   • This makes it easier to categorize winning page types (listicles, comparisons, documentation, product pages). orbilo.co

3. urlLighthouseturn0search1
   • Tracks visibility across ChatGPT, Claude, Gemini, Perplexity, and others.
   • Includes page-level recommendations tied to citations.
   • Better for ongoing monitoring than pure research. www.ahoylighthouse.com

4. urlCitate.aiturn0search8
   • One of the few platforms focused on analyzing links, topics, and sources AI models rely on.
   • Useful if you're interested in aggregate citation behavior rather than just your own site. citate.ai

If you're looking for research rather than software

A few recent analyses have looked directly at citation patterns across AI assistants:

• Research from Trustable found that comparison pages, original research, and data-rich content receive the highest citation rates across ChatGPT, Claude, and Perplexity. www.trustablelabs.com
• A 2026 academic study found that topical relevance is the strongest predictor of being cited, with lists, explicit pricing, recent timestamps, and completeness also improving citation likelihood, while formatting tweaks alone had relatively small effects. arxiv.org

If I had to pick one

For your specific question—"Which content formats get cited most by AI assistants?"—I'd use:

• Microsoft Clarity AI Visibility if you're analyzing your own content.
• Orbilo if you want to compare your formats against competitors.
• Citate.ai if you're researching AI citation behavior across an entire market.

Those three together provide the clearest view into whether formats like how-to guides, comparison pages, product pages, glossaries, or listicles are actually earning citations.