The product category is AI visibility / GEO / AEO tracking. These tools show which brands—and importantly, which websites/pages—AI assistants cite for category questions.
Otterly.AI — tracks citations across ChatGPT, Perplexity, Google AI Overviews, Gemini, Claude, and others.
Profound — enterprise-focused source/citation intelligence and multi-engine monitoring.
Peec AI — tracks AI visibility and the key sources cited by models.
Ahrefs Brand Radar — AI visibility across ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews.
Citations.io — specifically surfaces the exact domains/pages AI cites, plus competitors being cited instead.
If your core question is “What sources are AI models using when customers ask about our category?”, I’d focus your evaluation on source-level citation tracking, not merely brand mentions or share-of-voice.
To track which third-party sources, publications, and forums AI engines (like ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews) cite when answering queries about your category, you need Generative Engine Optimization (GEO) or AI Visibility tracking platforms.
The primary products built to provide this visibility include:
Profound : An enterprise-grade AI marketing and visibility platform that tracks how brands and their competitors appear across major answer engines, mapping out user prompts, brand mentions, and the exact underlying citation sources.
Peec AI : A targeted, more streamlined analytics tool focused on AI search tracking, helping marketers set up category prompts, monitor brand positioning, and pinpoint the exact content and third-party sources being surfaced by LLMs.
Semrush AI Toolkit : An extension of the traditional SEO suite tailored to monitor AI visibility metrics, brand sentiment, and citation tracking alongside standard search data.
Mentionova : A platform geared toward daily actionable monitoring, which is particularly useful for tracking community-driven citations (like Reddit and niche forums) that heavily influence LLM answers.
TopCited : An AI visibility and optimization tool that segments citation data by category or product catalog, analyzing which external domains feed data into models like ChatGPT, Claude, and Gemini.
If you want to narrow down which tool fits your stack, let me know:
Your approximate budget range (mid-market vs. enterprise)
Whether you also need content generation and workflow automation or just pure citation monitoring
Yes. What you’re looking for is generally called AI search visibility / AI citation tracking / GEO (generative engine optimization) software. These products run representative customer/category prompts through AI engines and show which brands and URLs get mentioned or cited, which competitors appear instead, and often which sources the engines rely on.
A few products worth evaluating:
OtterlyAI — tracks mentions and citations across ChatGPT, Google AI Overviews/AI Mode, Gemini, Perplexity, Copilot, and Claude. It also exposes the domains/URLs being cited and lets you monitor competitors.
Profound — more enterprise-oriented AI-search monitoring, with prompt-level visibility, citations, competitors, and reporting. It is frequently included among the leading enterprise AI-visibility platforms.
Scrunch AI — focuses on AI-search visibility and monitoring across major AI engines, including citation/source analysis and competitive visibility.
Peec AI — another dedicated AI-search analytics platform for tracking how brands appear in AI answers and comparing visibility.
Ahrefs Brand Radar — useful if you're already an Ahrefs customer; it extends traditional SEO intelligence into AI citations/visibility.
Yext Scout — particularly interesting if your problem includes controlling the underlying business/product information that AI systems use, in addition to measuring mentions, citations, sentiment and share of voice. Yext reports analysis of 17.2 million AI citations across ChatGPT, Perplexity, Gemini and Claude.
Citations.io — a more focused option that explicitly runs customer-style prompts and records which answers cite you, competitors, retailers, publications and other sources.
What I'd look for specifically
If your question is “When someone asks AI about our category, what sources are influencing the answer?”, don't settle for a dashboard that only gives you a brand-mention percentage.
You want these fields at the individual prompt/answer level:
Capability
Why it matters
Customer/category prompt library
Lets you reproduce the questions buyers actually ask
AI answer capture
See the actual answer, not just a visibility score
Citation URL/domain
See exactly which sources AI relied upon
Competitor citations
Identify sources that are getting your competitors into the answer
Engine-by-engine results
ChatGPT, Gemini, Perplexity, Google AI, etc. can source differently
That's important because AI search isn't a single ranking system. Research from Yext, for example, found meaningful differences in citation behavior between ChatGPT, Gemini, Perplexity and Claude.
For your particular use case, I'd shortlist Profound, OtterlyAI, Scrunch, and Yext Scout, then test each with 20–50 real category questions. The deciding factor should be how deeply each exposes the underlying citations and source URLs, rather than its headline “AI visibility” score.
If you tell me your category and roughly whether you're SMB, mid-market, or enterprise, I can also research the current pricing/features of these platforms and make a neutral comparison focused specifically on “show me what sources AI cites when customers ask about my category.”
To track which sources and domains artificial intelligence engines (like ChatGPT, Perplexity, Gemini, and Google AI Overviews) cite and reference when users ask about your category, you need AI-answer monitoring and Generative Engine Optimization (GEO) tracking platforms.
The primary products that provide visibility into AI citations, brand mentions, and competitor sourcing are categorized below:
Profound — Designed specifically for enterprise-scale prompt intelligence, providing deep reporting on prompt demand, answer visibility, and the exact external citation sources LLMs pull from.
SE Ranking (Generative AI Tracker) — Features dedicated tracking across ChatGPT, Perplexity, Gemini, and Google's AI mode, allowing you to filter mentions by niche, monitor competitor links, and view historical citation trends.
Otterly.AI — A focused, accessible monitoring tool that tracks how often and where your brand and category are cited across major AI search engines.
Moz (AI Visibility / Citations feature) — Provides a breakdown of citation footprints, unique cited pages, domain authority landscapes, and the specific prompts driving traffic or mentions.
Ahrefs Brand Radar — Functions as an add-on tracking system monitoring brand presence and citations across various AI engine indexes alongside traditional search metrics.
Scrunch AI — Blends answer visibility analytics with technical diagnostics on how AI agents and crawlers interpret your site versus your competitors' cited sources.
If you'd like, let me know:
Your budget or company size (startup vs. enterprise)
Which specific AI platforms (e.g., ChatGPT vs. Google AI Overviews) matter most to your team
I can help narrow down which tool fits your workflow best.
Several dedicated Generative Engine Optimization (GEO) and AI visibility platforms track which third-party sources and domains AI models cite for specific category queries across ChatGPT, Perplexity, Google AI Overviews, and Claude.
As brands increasingly rely on AI-driven discovery, specialized software has emerged to audit LLM citation behavior, competitor share of voice, and underlying reference domains.
Top Tools for AI Citation and Source Visibility
Frase provides AI visibility tracking that monitors URL-level citations, tracks position in citation lists, benchmarks industry citation rates, and logs AI crawler activity across engines like ChatGPT, Perplexity, Claude, and Gemini.
Otterly analyzes how major AI search engines mention and cite brands and URLs across ChatGPT, Perplexity, Google AI Overviews, and Copilot to help audit your footprint and competitor positioning.
Enterprise SEO suites (such as Semrush and Ahrefs ) are rapidly rolling out dedicated AI Overview and generative tracking features to map out traditional keyword domains alongside AI search references.
If you'd like, let me know:
Which specific AI platforms (e.g., Perplexity, ChatGPT, Google AI Overviews) you care about most
Whether you want to track your own brand's citations or do a competitor gap analysis for your category
I can recommend the best workflow or evaluation criteria for choosing a platform.
If you want to know which sources AI assistants cite when customers ask about your category, you’re looking for an AI visibility / AI search intelligence platform (sometimes called GEO or AEO monitoring). These tools typically run your customers’ questions against AI engines, record the answers, and show:
Tracks AI mentions, citations, competitors, and source/page leaderboards.
For a category team, I’d evaluate them based on four capabilities:
Prompt control
Can you upload the exact questions your buyers ask (e.g., “best [category] for enterprise teams”)?
Source transparency
Does it show the actual cited URLs, not just a visibility score?
Competitive benchmarking
Can you see which publications, reviews, communities, or competitor pages are being cited instead?
Historical tracking
Can you tell whether a PR push, content update, or review campaign changed AI citations over time?
One caveat: these tools generally sample AI responses rather than seeing private customer conversations. They estimate visibility by repeatedly running representative prompts through AI systems and analyzing the returned answers.
If you’re evaluating this for a brand/category marketing team, the shortlist I’d start with is:
Lightweight testing: MentionScout or similar trackers
I can also help compare these against your needs (B2B vs consumer, number of prompts, AI engines you care about, and whether you need source discovery or just share-of-voice tracking).
To find out which sources and third-party web pages AI engines (like ChatGPT, Perplexity, Gemini, and Claude) cite when users ask about your product category, you need tools built for Generative Engine Optimization (GEO) or AI Search Visibility Tracking.
These platforms run category prompts, capture the answers, and parse the exact URLs and domains the models lean on for citations.
The primary products providing this visibility fall into dedicated GEO platforms and traditional SEO suites adding AI tracking:
Dedicated AI Visibility & Citation Trackers
Profound : An enterprise-grade AI visibility platform built specifically to track how major answer engines (ChatGPT, Perplexity, Gemini, Copilot, Claude, and Google AI Overviews) mention or recommend your brand. It maps out prompt-level demand data and uncovers the exact sources and third-party articles cited in your category.
LLM Pulse : An all-in-one AI search visibility platform that extracts and tracks citations weekly across multiple LLMs. Its "citation gap" feature pinpoints the prompts where competitors are being cited instead of you, revealing the external sources influencing the model.
Otterly.ai : A lower-friction, highly accessible monitoring tool designed to track brand mentions and website citations across ChatGPT, Perplexity, Gemini, Copilot, and Claude. It is a strong fit if you need a quick baseline of who is citing you versus your competitors.
Mentionova : A tracking platform geared toward daily monitoring and actionable briefs. It is particularly useful if your category relies heavily on community-driven sources (like Reddit or niche forums), which account for a massive share of AI citations.
Established SEO Suites with AI/SERP Overviews
Semrush AI Toolkit : Traditional enterprise SEO heavyweights have integrated AI tracking features to monitor Google AI Overviews and surface-level generative engine visibility, blending traditional keyword tracking with AI search footprint analysis.
If you'd like to narrow this down, tell me:
Are you looking for an enterprise solution with deep competitor auditing or a lightweight tool for a quick baseline?
Which specific AI engines (e.g., Perplexity, ChatGPT, Google AI Overviews) are most critical for your buyers?
I can help recommend the best fit for your team's workflow.
Yes. What you’re looking for is generally called AI visibility / AI search monitoring / AEO (Answer Engine Optimization) software. The important distinction is whether a product merely tells you “your brand was mentioned” or actually shows the answers, cited URLs/domains, competitors cited instead, and the prompts that triggered them.
Products worth evaluating
tryprofound.com — Enterprise-oriented AI-search intelligence. Tracks prompts, brand visibility, competitors, sentiment, and source citations across major AI search experiences. It’s particularly geared toward larger marketing/SEO teams.
otterly.ai — Strong fit if the specific question is “What sources are AI engines citing in our category?” Its analytics include the specific cited URLs, whether they mention you, and which competitor gets cited instead. It covers ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude.
scrunchai.com — Focuses heavily on citation intelligence, prompt tracking, AI traffic and competitor benchmarking. It is another option to investigate for a marketing/agency workflow.
ahrefs.com — Particularly interesting if you already use Ahrefs. It tracks AI mentions and citations and can show the domains and pages being cited alongside your brand. Ahrefs says its database is based on hundreds of millions of AI prompts.
semrush.com — Makes sense if you're already in the Semrush ecosystem; it combines AI visibility with traditional SEO/competitive research.
yext.com — More interesting if your business has a substantial structured-data/location/knowledge-graph component. Yext positions Scout around mentions, citations, sentiment and share of voice across AI engines.
citations.io — A more focused product: it explicitly shows which answers cite you, which competitors/sources are cited instead, and the underlying prompts/answers.
For your specific use case
If the question is:
“When customers ask AI about our category, what sources is the AI using, and are those sources helping our competitors rather than us?”
I'd put these three at the top of the evaluation:
Product
Source/URL-level citations
Prompt tracking
Competitor sources
Enterprise depth
Profound
Yes
Yes
Yes
High
OtterlyAI
Yes
Yes
The key feature I'd demo is answer-level evidence, not a proprietary “AI visibility score.” You want to be able to open something like:
Prompt: “Best [category] for X”
ChatGPT answer → your brand absent
Sources cited → Publication A, Review Site B, Reddit C
Competitor mentioned → Competitor X
Exact cited URLs → …
That lets your team determine which third-party sources actually influence AI answers, rather than simply knowing that your visibility score went from 23 to 31.
Also, don't assume Google/ChatGPT/Perplexity all use the same sources. Research from Yext analyzing 17.2 million citations across ChatGPT, Perplexity, Gemini and Claude found meaningful differences in how the engines retrieve and cite information.
If you tell me your category + roughly company size/marketing budget, I can narrow this to the 2–3 products most appropriate for your situation and compare their pricing, engine coverage, citation-level data, API/export capabilities, and prompt volume.
To track which sources generative engines and LLMs (like ChatGPT, Perplexity, Claude, and Google AI Overviews) cite when users ask about your category, you need Generative Engine Optimization (GEO) and AI visibility tracking platforms . These tools monitor prompt-based share of voice, map citation URLs, and perform competitor gap analyses.
Top AI Visibility & Citation Tracking Products
Peak AI: A specialized platform built for monitoring prompt-based visibility and tracking daily multi-model checks across ChatGPT, Perplexity, and Google AI Overviews to benchmark your exact share of voice against rivals.
LLM Refs: A keyword-first AI visibility tool that takes your target category keywords, expands them into conversational prompts, and maps brand mentions and citation sources across major AI engines.
Bttr. (AI Search Visibility Tracker): Offers multi-engine tracking across ChatGPT, Gemini, and Perplexity simultaneously, allowing you to measure baseline citation rates and compare your brand to category benchmarks.
llmlinks.ai: A free utility tool that lets you input specific category queries to see which external websites and domains are actively being cited by engines like ChatGPT and Google AI.
If you'd like, let me know:
Which specific AI engines (e.g., ChatGPT, Perplexity, Google AI Overviews) are your top priority?
Whether you need a tool for automated daily tracking or a one-time competitive audit?
I can help you narrow down the right platform for your team.
Yes. What you’re describing is now generally called AI search visibility / AEO (Answer Engine Optimization) tracking: you give the platform the questions your buyers ask, and it repeatedly checks AI answers to see who gets mentioned, which products get recommended, and—crucially—which URLs/sources the AI cites.
The products I'd shortlist
tryprofound.com — Best fit if you're an enterprise brand and want deep competitive/citation intelligence. It's generally positioned as the enterprise-end option, with detailed reporting around AI answers and citations.
otterly.ai — Probably the easiest place to start. It explicitly tracks mentions, citations, sentiment, share of voice and the exact URLs AI engines cite, across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude.
peec.ai — Strong mid-market option for tracking prompts, competitors and AI visibility across multiple engines. Current comparisons tend to put it between Otterly and enterprise platforms on depth/price.
ahrefs.com — Worth considering if you already use Ahrefs. Its AI Visibility tooling shows mentions and the domains/pages cited alongside your brand, and its newer index is based on a very large corpus of modeled prompts.
semrush.com — A good option if you want AI visibility integrated with your existing SEO/competitive-intelligence stack rather than buying a dedicated AI-search platform. Current market comparisons include its AI Toolkit among the major trackers.
scrunchai.com — Another enterprise-oriented option, particularly if you're interested in broader AI-search optimization rather than just a citation dashboard.
For your specific question
If the requirement is literally:
“When customers ask AI about our category, tell me what sources it used and whether it cited us or our competitors.”
I'd evaluate Otterly, Profound and Peec first.
The important distinction when evaluating them is don't settle for an “AI visibility score.” You want the underlying evidence:
The exact customer prompt.
The AI engine/model tested.
The complete generated answer.
Whether your brand/product appeared.
Your competitors that appeared.
Every cited URL/domain.
Which citations are repeatedly appearing across prompts.
Historical changes in citation share.
Ideally, the ability to export/API that data.
Otterly, for example, explicitly says its citation tracking identifies every cited URL and whether it names you or a competitor.
One other important point: AI visibility ≠ just “does ChatGPT mention us?” The more useful strategic question is “What information ecosystem is causing ChatGPT to recommend our competitors?” Current research/tools increasingly expose the sources behind the answer, which lets you identify the publishers, review sites, directories, Reddit discussions, comparison pages, etc. that are influencing your category.
If you tell me your category and roughly your company size (startup / mid-market / enterprise), I can narrow this to the 3 best products and compare their citation coverage, AI engines, pricing, API/export capabilities, and whether they show the actual underlying sources.
