ChatGPT answers, unedited

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.