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By Agentic SEO Tools Teamcitation sourceslisticlesreview sitesai visibility tools

Which software finds listicles and review sites cited by AI?

Software that finds the listicles and review sites AI cites: we compare Promptwatch, Ahrefs Brand Radar, AthenaHQ, Scrunch AI and others on citation source analysis.

When ChatGPT or Perplexity recommends products in your category, it rarely invents the shortlist. It draws on pages it finds: "best of" listicles, comparison posts, review sites and community threads. If your brand is missing from those pages, it is often missing from the answer. So the practical question is which software shows you exactly which listicles and review sites get cited, so you know where to get covered. This guide compares the tools that can do that, with honest notes on how deep each goes.

Why these sources matter

Third-party roundups act as a shortlist the model can borrow. If three of the five pages cited for "best project management software for agencies" are listicles, the work is not only to improve your own page. It is also to understand how those lists were put together and whether you can legitimately earn a place on them.

That is a measurement problem first. You need to see, for each tracked prompt, which URLs and domains were cited, how often, and which of those are roundups or review sites rather than vendor pages. Then you can decide where to pitch, where to supply accurate data, and where to publish your own comparison.

What the software needs to show

  1. Cited URLs per prompt, not just counts.
  2. Domain-level rankings of the most cited sources in your category.
  3. Source type or content type, so listicles and review sites can be separated from forums and vendor sites.
  4. Trend over time, so you can see which sources are rising.
  5. Competitor presence on those sources, so you know who is already listed.
  6. Brand mentions without links, because many listicles name a brand but do not link to it.

Quick comparison

ToolEntry price (as published)Citation source reportingLimit
PromptwatchFree Explore; Essential $95/moPage and domain citations, Citation Trends by content and source type, offsite mentions, Page Tracker, Reddit, YouTube and LinkedIn reportsGating by plan; agencies get all citation analytics
Ahrefs Brand RadarCustom Prompts with paid Ahrefs plans; Index from $199/moAI crawler activity, YouTube and Reddit sourcesModeled prompts, directional
AthenaHQFree tier; Starter $295/moCitation tracking, Action CenterCredit billing; Citation Engine on Enterprise
Scrunch AICore $250/moInsights and recommendationsWeekly refresh reported
Semrush AI Toolkit$99/mo per domain (unconfirmed)Mentions and links in AI answersAdd-on, 25 prompts
ProfoundEnterprise, customAnswer Engine InsightsAgent suite

1. Promptwatch

Promptwatch is our first pick because its citation analytics is built to answer this question, and it connects the answer to action.

For each tracked prompt you see page-level and domain-level citations with URL positions. Citation Trends classifies every citation by content type and source type, and shows citation rate over time, first-cited date, ramp-up days, peak rate and decay half-life per page, so you can group cited pages by the kind of source they are and see which are rising. Offsite mentions finds your brand named on third-party pages without a link, which is the common situation on listicles. The Page Tracker lets you follow specific URLs, yours or a competitor's, such as a roundup you want to be on. Reddit, YouTube and LinkedIn citation reports, a My channels filter and ChatGPT News citations round it out.

Then it helps you act. Content gap analysis shows prompts where competitors are cited and you are not. The Action Board suggests prioritized actions. Content Creation and Content Refresh help you publish your own comparison or update an existing page, and visitor analytics shows whether cited pages drive AI-referred visits. IP-verified crawler logs from Professional ($245/mo) show whether AI bots reach your pages.

Limit: it shows you the sources. Earning a place on someone else's listicle is outreach, and no software guarantees it.

2. Ahrefs Brand Radar

Ahrefs Brand Radar includes Custom Prompts free on paid Ahrefs plans (5, 10 or 20 a day depending on tier) and an AI Visibility Index starting at $199/mo, covering AI Overviews, AI Mode, ChatGPT, Perplexity, Gemini and Copilot. It reports on AI crawler activity, YouTube and Reddit sources, and Ahrefs' link index is a natural companion for chasing listicle placements. Limits: the index prompts are modeled from keyword data, and our catalog records an independent January 2026 test that found it undercounted ChatGPT mentions against a manual check.

3. AthenaHQ

AthenaHQ tracks appearance in AI answers and turns gaps into on-page and off-page actions. Starter is $295/mo with 3,600 credits and 11 models. The Athena Citation Engine is Enterprise-gated, so check what citation depth you get at the tier you can afford.

4. Scrunch AI

Scrunch AI Core is $250/mo with 125 prompts and four LLMs, plus insights and recommendations. It focuses more on how AI crawlers see your site than on citation source taxonomy.

5. Semrush AI Toolkit and Profound

Semrush AI Toolkit tracks brand mentions and links in AI answers beside keyword data; price unconfirmed on 24 October 2026. Profound offers Answer Engine Insights inside an agent suite, with Enterprise pricing on request.

Who should pick which

  • You want to see which listicles, review sites and communities are cited, group them by type, and act: Promptwatch.
  • You already pay for Ahrefs and want a directional source view: Ahrefs Brand Radar.
  • You want an action queue: AthenaHQ, mindful of credits and Enterprise gating.

What to do with the list

Export the most cited roundup and review domains for your top ten prompts. Check which competitors appear on each. Then decide the route: supply accurate product data to reviewers, pitch an honest case for inclusion, or publish your own comparison if the list format wins. Do not pay for fake reviews or manipulate lists. It tends to backfire, and models are increasingly good at spotting thin pages.