ChatGPT answers, unedited

Yes. What you’re describing is usually called AI Search Visibility / AI Share of Voice (AI SOV): crawl or ingest your site/content, then repeatedly run a defined set of buyer prompts across AI engines and measure how often your brand/content is mentioned or cited.

The main tools I’d look at are:

• Semrush AI Visibility / Enterprise AIO — tracks mentions, citations, competitors, and AI share of voice across ChatGPT, Google AI Overviews, Gemini and other AI surfaces. Its SOV calculation incorporates both mentions and position. Semrush Semrush
• Ahrefs Brand Radar — particularly interesting if you want large-scale measurement. Ahrefs says it runs hundreds of millions of search-backed prompts across AI Overviews, AI Mode, ChatGPT, Perplexity, Gemini and Copilot, storing responses and calculating mentions, citations and AI SOV. Ahrefs
• Profound — enterprise-oriented AI visibility platform with citation tracking and competitive visibility, plus attribution toward business outcomes. HubSpot Blog
• Scrunch — focused specifically on AI visibility; tracks actual responses across platforms and lets you break SOV down by prompt, platform, competitor, topic and geography. Scrunch
• Sitefire — interesting if by “after crawling” you specifically mean connecting AI visibility to your own site's crawlability/content and AI-bot activity. It tracks AI answers, citations, AI crawlers hitting your site, and AI-generated traffic. Sitefire
• Sona — measures daily visibility/SOV by engine and prompt, then analyzes which sources are being retrieved and cited, including domain/URL-level analysis. Sona
• RankSage / SearchDock / Siftly — newer, more focused tools if you mainly want a prompt library → repeated AI runs → mentions/citations → SOV workflow rather than a broad SEO suite. RankSage SearchDock Siftly

The important distinction

There are actually three different measurements you may be asking for:

For example, if you run 1,000 relevant prompts and your brand appears in 300 responses, that's 30% response visibility. But if competitors collectively receive 800 brand mentions across those responses, your mention-based SOV would be calculated against that competitive denominator. Tools differ in whether they use binary appearance, number of mentions, position, citations, or search-volume weighting. Semrush Siftly

If your requirement is specifically “crawl our content → determine how much AI uses it”

I'd narrow the shortlist to Semrush, Ahrefs, Profound, Sitefire, and Sona.

The key feature to verify in demos is URL-level citation attribution. You don't just want:

“Your brand appeared in 38% of AI answers.”

You want:

“For these 147 commercial prompts, AI cited these 23 URLs from your site, versus 61 competitor URLs; these 8 pages account for 72% of your citations; and here's how that changed after your content updates.”

That's much closer to an actionable content-level AI share-of-voice system.

If you tell me whether you're looking for this for SEO/content marketing, an agency product, or an enterprise analytics stack, I can narrow these down to the 3–4 tools that actually fit and compare their crawl + prompt tracking + citation attribution + API/export capabilities.

Yes. If by “AI share of voice” you mean crawl our site/content, generate a set of relevant prompts, query AI engines, then measure how often our brand/domain/content is mentioned or cited versus competitors, there are several purpose-built platforms.

Strong options

• Profound — enterprise-oriented AI visibility/GEO platform. Tracks brand visibility, mentions and citations across AI search/answer engines, with competitive analysis. It’s one of the more established options if you need an enterprise workflow.
• Semrush AI Visibility Toolkit — useful if you already use Semrush. It tracks AI mentions, citations, visibility and competitor presence across multiple LLMs. Semrush
• Peec AI — focused specifically on AI-search visibility, including brand mentions, citations and competitor monitoring.
• Otterly.AI — tracks how brands appear in AI-generated answers and monitors visibility across major AI platforms.
• Zumi — particularly close to the metric you described: mention rate, share of voice, average position, per-engine reporting, and the ability to trace mentions back to the prompt and cited sources. It says it tracks ChatGPT, Gemini, Perplexity, Claude, Copilot, AI Overviews, AI Mode and others. Zumi
• SearchPrism — interesting if the crawling + answer-level evidence matters. It crawls the site, runs scheduled prompts against ChatGPT/Claude/Gemini/Perplexity, stores the full answers, and counts brand mentions. Prism
• SourceWatch — straightforward AI share-of-voice measurement across ChatGPT, Perplexity, Gemini and Claude, including competitor appearances. SourceWatch
• Kitbase — measures presence rate separately for being mentioned and being cited, then calculates competitive share of voice. Kitbase

One important distinction

There are actually three different metrics vendors call “AI share of voice”:

1. Mention share — how often your brand is named in an AI answer.
2. Citation share — how often your website/domain is used as a source.
3. Content/source share — how often specific pages from your content corpus are retrieved/cited.

If your goal is “is our content actually being surfaced after the AI crawls/retrieves it?”, I'd prioritize #2 and #3 rather than a generic visibility score.

For example, GeoShark explicitly separates whether you're named, cited, recommended or absent, and shows the pages used to construct answers. GeoShark SearchPrism similarly combines site crawling with stored AI answers and citations. Prism

What I'd evaluate in a demo

Ask each vendor whether you can get this exact report:

For each target prompt → which AI engine → did it mention our brand → did it cite our domain → which URL/page did it cite → which competitor domains were cited → position/order in answer → historical change.

Also ask whether prompts are re-run multiple times, since AI responses aren't deterministic. Current research specifically recommends repeated runs and per-engine reporting rather than treating one answer as definitive. Verity Score Machine Relations

If you tell me your approximate company size / enterprise vs SMB and whether you care more about ChatGPT, Google AI Overviews/AI Mode, or all engines, I can narrow this to 3–5 products and compare their crawling, prompt generation, citation tracking, API/export, and pricing.

Yes. What you’re describing is generally called AI visibility / AI search visibility / GEO (Generative Engine Optimization) tracking.

The key distinction is that you want more than a crawler that checks whether AI bots visited your site. You want software that runs a defined prompt set against AI engines, captures the responses, identifies when your domain/content is cited or your brand is mentioned, and calculates share of voice over time.

Platforms worth looking at

• otterly.ai — Probably the closest match to your description. It tracks ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude, records citations/URLs, and calculates share of voice against competitors. Otterly Otterly
• tryprofound.com — More enterprise-oriented, with detailed analysis of which prompts generate visibility, which sources AI engines cite, and how your brand/content compares with competitors.
• peec.ai — Focused specifically on AI-search visibility, including mentions, citations, competitors and share of voice.
• scrunchai.com — Tracks AI visibility and citation-level metrics across answer engines.
• semrush.com — If you're already a Semrush customer, its AI visibility capabilities can measure brand presence and competitive visibility alongside conventional SEO data.

A 2026 comparison of the category identifies Otterly, Profound, Peec, Scrunch and Semrush among the major platforms, although their definitions of "share of voice" aren't identical. Machine Relations UX Continuum

One important distinction

There are actually three different metrics you may want:

1. Brand mention rate — % of AI responses that mention your company.
2. Citation rate — % of responses that cite/link to your website.
3. Content/source share of voice — your share of all cited sources versus competitors.

For example, if ChatGPT answers 1,000 tracked questions:

180 mention your brand → 18% mention coverage
120 cite your domain → 12% citation rate
120 of 600 total competitor/brand citations belong to you → 20% citation SOV

I'd pay particular attention to #2 and #3 if your goal is to determine whether your content is actually being surfaced, rather than merely whether your brand is known. Otterly, for example, explicitly separates brand coverage from share of voice and provides URL-level citation tracking. Otterly

If by “after crawling” you specifically mean “crawl our entire site first, map individual pages/topics to AI answers, then tell me which of our URLs are being surfaced and how that changes after we publish/update content,” that's a narrower requirement. I can compare the platforms specifically on site crawling + URL-level citation attribution + SOV, which is probably the more useful shortlist.

Yes. What you’re describing is generally called AI visibility / AI search visibility / GEO (Generative Engine Optimization) tracking. The better platforms don't just crawl your site—they repeatedly run a defined set of buyer prompts through AI engines, capture the answers and citations, and calculate share of voice, mention rate, citation rate, competitors, and which URLs get surfaced. Semrush GetTraffic

The strongest options

These platforms are now explicitly positioned around this workflow: run buyer questions against engines such as ChatGPT, Perplexity, Gemini and Google AI surfaces, then report which brands and sources appear. Bloomiro xSeek

One important distinction

If by "after crawling" you mean:

"We crawl the web/site first, then determine how often AI answers actually surface our pages/content as sources."

I'd pay particular attention to Peec AI and Profound. You're looking for URL-level citation attribution, not merely whether your brand was mentioned. A brand can be named in an answer while a competitor's page is actually cited as the source.

The useful metrics are:

• AI Share of Voice: your mentions/citations ÷ total category mentions/citations
• Citation rate: % of prompts where your domain is cited
• Prompt coverage: % of relevant buyer questions where you appear
• Position/share of answer: how prominently you're mentioned
• URL citation share: which specific pages on your site get cited
• Competitor SOV: who gets surfaced instead
• Source share: which publications/sites/models are feeding the answers

Semrush, for example, explicitly defines AI SOV around brand mentions relative to competitors and incorporates both frequency and prominence. Semrush

My shortlist

If I were evaluating this specifically for "how much of our content is being surfaced by AI after it has been crawled", I'd demo them in this order:

1. Profound — strongest choice if this is becoming a serious enterprise KPI.
2. Peec AI — particularly interesting if you care about competitive SOV and source-level analysis.
3. Otterly.AI — good if you primarily want straightforward prompt/mention/citation monitoring.
4. Semrush — attractive if you already have Semrush and want AI visibility alongside traditional SEO.

One caveat: don't treat the vendors' SOV numbers as directly interchangeable. Different tools use different prompt sets, engines, sampling frequencies, and definitions of "mention" versus "citation." Independent comparisons have found materially different counts for the same brands. Design Copy

If you tell me what you mean by "crawling"—e.g. crawl our entire website and then track whether individual URLs are cited by ChatGPT/Perplexity, versus track our brand's overall AI SOV—I can narrow this down to the 2–3 products that actually match that workflow, including pricing and API/export capabilities.

I'd pay particular attention to Peec AI and Profound. You're looking for URL-level citation attribution, not merely whether your brand was mentioned. A brand can be named in an answer while a competitor's page is actually cited as the source.

The useful metrics are:

Yes. What you’re describing is usually called AI search visibility, AI share of voice (SOV), or GEO/AEO tracking. The important distinction is that the better tools track both whether your brand/content appears in an AI answer and which URLs the AI actually cites.

Best fits

• otterly.ai — probably the closest match to your description. It runs a recurring prompt set across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude, then measures mentions, citations, rank, sentiment and competitive share of voice. It also identifies the specific URLs being cited. Otterly Otterly
• tryprofound.com — a more enterprise-oriented option, particularly if you want deeper AI-search monitoring and large-scale prompt/citation analysis. A recent category benchmark rated it strongest overall for surface coverage, prompt tracking and citation analysis. Benchline Reports
• peec.ai — particularly worth looking at if competitive AI share of voice is the central KPI. It is positioned around tracking how brands perform against competitors across AI answers. Benchline Reports
• ahrefs.com — useful if you're already an Ahrefs customer. It tracks AI mentions and citations across ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews, including the domains/pages cited alongside your brand. Ahrefs
• kitbase.dev — interesting if you want a relatively straightforward measurement model: presence rate, separate mention/citation rates, and normalized competitive SOV. Kitbase

One important nuance

If by "after crawling" you mean:

Our crawler discovers the web/content → we want to know how frequently that content subsequently gets surfaced/cited in AI answers

then I'd specifically prioritize citation-level tracking, not just "brand mention" tracking.

For example, you ideally want a dashboard like:

That lets you distinguish "AI knows about us" from "AI actually uses our content as a source." Ahrefs explicitly separates mentions from citations, while Otterly tracks the individual cited URLs. Otterly Ahrefs

If your core requirement is specifically "crawl our content, then measure how often those URLs get surfaced/cited in AI answers," I'd shortlist Otterly, Profound, and Ahrefs Brand Radar first. If you tell me roughly how many URLs/prompts you need to track and whether this is B2B, ecommerce, or publisher content, I can narrow it to the best 2–3 and compare their pricing/features.

If you mean AI Share of Voice (AI SOV) as in “how often does our brand/content appear in ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews, etc. after AI systems crawl and retrieve sources,” you’re looking for GEO (Generative Engine Optimization) / AI visibility tracking platforms. These tools generally don’t crawl all AI answers (that’s impossible), but they repeatedly run a defined set of buyer prompts, capture responses, and measure mentions, citations, ranking position, and competitor presence. CiteFlow Authority Radar

Some leading options:

What to look for when evaluating one

The strongest platforms usually track:

• Prompt coverage — e.g., “best CRM for startups,” “alternatives to X,” “how to solve Y problem”
• Mention rate — % of tracked prompts where your brand appears
• Citation share — how often AI answers cite your URLs/content
• Position/rank — whether you are the first recommendation or buried
• Competitor share of voice
• Source attribution — which pages, publishers, Reddit threads, reviews, etc. are influencing AI answers CiteFlow Shadow

If you already have SEO tooling

A common stack is:

• Enterprise marketing team: Profound + Ahrefs/Semrush
• B2B SaaS/content team: Peec AI, Otterly.ai, Zumi, SourceWatch
• PR/brand team: Meltwater-style AI visibility monitoring plus GEO tooling Vogue

One caveat: “AI share of voice” is not the same as organic search rank. AI systems synthesize answers from many sources, and a brand can have strong SEO rankings but weak AI visibility if its content is not frequently cited or represented in the sources models rely on. Shadow

If you mean a tool that actually crawls your site and predicts whether AI models will surface your pages (rather than just tracking prompts), the shortlist changes slightly.

Yes. What you’re describing is usually called AI visibility / AI share of voice / GEO (generative engine optimization) tracking: crawl your site/content, then repeatedly query AI engines and measure whether your pages are surfaced as citations or whether your brand/content is mentioned.

The strongest options I’d shortlist are:

For example, Zumi explicitly tracks the exact URL/page that an AI engine cited, including citation share by domain and page. www.zumihq.com ShowIn AI goes a step further by auditing AI crawlability/citability and then monitoring citations and SOV across ChatGPT, Perplexity, Gemini and Google AI Overviews. showin.ai

If your requirement is specifically:

"Crawl our entire content library → determine what AI engines can discover → run a large query set → see which of our URLs get surfaced/cited → calculate our share vs competitors."

I'd look hardest at Profound, Zumi, ShowIn AI, and SearchDock.

One important distinction: AI mention/SOV ≠ content citation share. You ideally want both:

• Mention rate: how often your brand is named
• Citation rate: how often your domain/content is cited
• URL-level citation share: which specific articles/pages are being used
• Answer position: where your brand appears
• Competitor SOV: your share vs competing brands
• Engine-level results: ChatGPT vs Gemini vs Perplexity vs Google AI
• Prompt-level results: which buyer questions produce/lack visibility
• Content attribution: which pages are actually contributing to answers

That last piece is increasingly important: research in 2026 distinguishes merely being cited from a page actually being absorbed into the generated answer—so a sophisticated platform should ideally tell you more than "URL appeared in citations." arxiv.org

Also, don't judge these systems from a single query/run. AI responses are stochastic; repeated sampling is necessary for a meaningful SOV number. arxiv.org

If you tell me your approximate scale (e.g. 500 URLs / 10k URLs, B2B/B2C, and whether you care about ChatGPT + Gemini + Perplexity + AI Overviews), I can give you a side-by-side comparison of Profound vs Otterly vs Peec vs Zumi vs ShowIn, including pricing, crawling capabilities, APIs, and which one best matches this exact workflow.

Yes. What you’re describing is generally called AI visibility / AI search monitoring / Generative Engine Optimization (GEO) software. The better platforms actually run prompts against answer engines, capture the responses, identify brand mentions and citations, and calculate share of voice—not merely crawl your own site.

Best fits

• tryprofound.com — probably the strongest fit if you want an enterprise-grade platform. It tracks AI responses across major answer engines, calculates Visibility Score, Share of Voice, Citation Share, positioning, sentiment, and identifies the pages/domains being cited. Profound Profound Help Center
• scrunch.com — particularly good if your definition is literally “what percentage of AI answers mention us vs. competitors?” It captures real AI responses, calculates competitive presence/SOV, and separately measures citation share. It also supports prompt-, topic-, platform-, persona-, and country-level analysis. AI Customer Experience Platform Scrunch Help Center
• demandsphere.com — worth considering if you want traditional SEO + AI visibility in one platform. It tracks mentions, citations, linked references and SOV across ChatGPT, Perplexity, Gemini, Copilot, Google AI Overviews/AI Mode, Grok, etc. DemandSphere
• visibility.so — a more focused AI-brand-visibility product. It tracks brand mentions and source rankings across ChatGPT, Claude, Gemini and Perplexity, with SOV calculated against competing brands. Visibility.so
• zumihq.com — interesting if you care about more than binary mentions: it combines mention rate, competitive SOV, where you appear in the answer, and which pages get cited. Zumi

One important distinction

There are actually two different metrics hidden in your question:

1. AI brand Share of Voice

“Across 10,000 category prompts, how often is our brand mentioned versus competitors?”

2. AI Citation Share

“Of the sources AI engines cite, how often is our website/content the cited source?”

Those aren't the same. For example, ChatGPT might say “Company X is a good option” but cite a third-party review rather than Company X's website. Profound and Scrunch explicitly separate these metrics. Profound Scrunch Help Center

If by “our content is surfaced” you specifically mean “AI crawls/indexes our pages and subsequently cites those pages in its answers,” I'd prioritize Scrunch or Profound, because they let you get down to the individual cited URL/page level, rather than just measuring brand mentions. AI Customer Experience Platform Profound Help Center

If you tell me your company size/budget and which AI engines matter (ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini, Claude, etc.), I can narrow this to the 2–3 best options and compare pricing, crawling/citation tracking, prompt volume, API access, and competitor SOV.

Yes. The category you’re looking for is generally called AI search visibility / AI share-of-voice / GEO (Generative Engine Optimization) tracking.

If your specific requirement is:

Crawl our site/content → monitor AI-generated answers → determine how often our pages/domain are surfaced or cited → calculate share of voice vs competitors

these are the strongest options I’d look at:

• otterly.ai — probably the closest match for what you described. It tracks prompts across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude, and reports mentions, citations, competitors and share of voice. It also tracks which URLs from your site are cited. Otterly Otterly
• tryprofound.com — more enterprise-oriented. Strong choice if you want large-scale prompt monitoring, competitive SOV, citation/source analysis and deeper AI-search analytics.
• peec.ai — particularly interesting if source-level citation analysis matters: i.e. not just "our brand appeared," but which piece of content/page was responsible. Austin Heaton Design Copy
• ahrefs.com Brand Radar — worth considering if you already use Ahrefs and want AI visibility alongside conventional SEO data.
• semrush.com AI Toolkit — good if you want AI visibility incorporated into a broader SEO/content stack.

The important distinction

There are actually two different things vendors call "AI share of voice":

1. Brand SOV:

"In 1,000 relevant AI answers, our brand appeared in 280 vs. Competitor A in 350."

2. Citation/content SOV:

"Of all the web sources AI engines cited for these questions, 14% were URLs from our domain, and these 37 articles generated most of those citations."

If your goal is to determine whether your actual content is being surfaced after the AI crawls/retrieves it, I'd prioritize #2.

Otterly explicitly provides website citation tracking at the URL level, including which pages AI engines cite. Otterly Peec is also worth evaluating for this source-level attribution. Design Copy

One caveat: these platforms generally don't observe some hidden internal retrieval process inside the model. They infer/measure visibility by repeatedly running controlled prompts and analyzing the resulting answers and citations. That's why results can differ between vendors and why trends over multiple runs are more meaningful than a single snapshot. Design Copy OrganiKPI

If you tell me whether you're B2B SaaS, ecommerce, publisher/media, or something else, I can narrow this to the 2–3 platforms that best fit and compare them on crawling, citation-level attribution, SOV methodology, API access, and pricing.

Yes — the category you’re looking for is usually called AI search visibility / AI visibility / GEO (Generative Engine Optimization) tracking. The key distinction is whether the product merely tracks brand mentions or actually tells you which URLs/content are being cited and how much AI share of voice you have.

Best fits

• otterly.ai — probably the closest match to your description. It runs prompts across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Claude and Copilot, then tracks mentions, citations, cited URLs, competitors and share of voice. It also has a gap analyzer showing prompts where competitors are cited but you aren't. Otterly Otterly
• tryprofound.com — strong enterprise-oriented option. It focuses heavily on AI search visibility, citation/source analysis and competitive intelligence. In an independent 2026 benchmark, Profound and Otterly were the two most frequently surfaced tools in AI-search answers. Foglift
• ahrefs.com — particularly interesting if you're already an Ahrefs customer. It tracks AI mentions/citations across ChatGPT, Gemini, Perplexity, Copilot and Google's AI surfaces, including which domains/pages are cited, custom prompts and competitive visibility. Ahrefs Ahrefs
• scrunchai.com — another dedicated AI-search visibility platform worth evaluating, particularly if you want monitoring and optimization workflows rather than just a reporting dashboard. Lyra
• semrush.com — increasingly covers AI visibility alongside traditional SEO, so it's worth considering if you want your AI-search measurement integrated into an existing SEO stack. Foglift

One important nuance

If by "after crawling" you mean:

We crawl our entire site → identify our content/pages → repeatedly query AI engines → determine when each page is surfaced/cited → calculate AI Share of Voice at the URL/content level

then I'd narrow the shortlist to Otterly, Profound and Ahrefs Brand Radar.

Most AI-visibility products actually work by querying the AI engines with a controlled prompt set and capturing the resulting answers/citations. They aren't simply crawling your website and predicting whether the model will use it. Otterly explicitly describes its process as running prompts and analyzing the resulting answers and cited URLs. Otterly Otterly

For your use case, I'd measure at least:

If your real goal is measuring the impact of your content program, rather than simply monitoring brand visibility, I'd prioritize a tool that gives you URL-level citation data + historical SOV + competitor gaps. That's much more actionable than a generic "your brand appeared in 37% of AI answers" score.

If you tell me roughly how many pages/content pieces you have and whether you're B2B or B2C, I can narrow these down to the 2–3 platforms I'd actually buy and compare their pricing/data model.

Yes. What you’re describing is generally called AI search visibility / GEO / AEO monitoring: software repeatedly runs a controlled set of prompts against AI engines, captures the answers and citations, and calculates metrics such as mention rate, citation rate, share of voice, and average position.

The strongest options I’d shortlist are:

The closest match to your description

otterly.ai is probably the first one I'd evaluate. It runs prompts across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude, then records which brands are mentioned and which URLs are actually cited. It also calculates share of voice against competitors and lets you drill down to the individual cited pages. Otterly Otterly

The important distinction is that it doesn't merely crawl your website and give you an "AI readiness" score. It queries the answer engines and observes what they actually return.

If you're specifically interested in your content being surfaced

I'd look particularly closely at Profound. It's more enterprise-oriented and goes deeper into the relationship between:

prompt → AI response → cited source → your URL → competitor URL

That distinction matters because there are really three different metrics:

• Brand mention: AI says your company/product name.
• Citation: AI links to one of your pages as a source.
• Content/source share: your pages account for X% of the sources being cited.

A company can have high brand visibility but relatively poor owned-content citation share. That's often the more actionable metric for a content/SEO team. A 2026 comparison of the major platforms makes the same distinction between mentions, citations, share of voice, and prompt coverage. Austin Heaton

One caveat about "after crawling"

If by "after crawling" you specifically mean:

Can I crawl our entire content library, then determine which individual articles/pages are subsequently being surfaced or cited by AI?

That's a slightly different requirement from ordinary AI share-of-voice tracking.

You want a platform that combines:

site crawl/index → URL-level content inventory → AI prompt monitoring → response capture → citation extraction → URL-level attribution → share-of-voice reporting.

That's more sophisticated than simply asking "does ChatGPT mention my brand?"

For example, xSeek specifically advertises page-level AI bot crawl analytics alongside AI citation tracking. xSeek

My shortlist

If I were evaluating this for a serious content/SEO program, I'd test:

1. Otterly — easiest starting point; strong citation + SOV reporting.
2. Profound — strongest candidate if you need enterprise-grade source/prompt analytics.
3. Peec AI — particularly worth testing for competitive share-of-voice analysis.
4. xSeek — interesting if actual crawler behavior + URL-level content analysis is central to the requirement.
5. Semrush AI Toolkit — especially sensible if your team already has Semrush.

A recent 2026 benchmark across ChatGPT, Perplexity, Claude, Gemini and Google AI Overviews found Otterly and Profound among the most frequently surfaced tools in this category, with Semrush and Peec also prominent. foglift.io

If you tell me what you mean by "after crawling"—e.g. crawl our 50,000 URLs and tell me which specific URLs are cited in ChatGPT/Perplexity/Gemini—I can narrow this down to the 2–3 products that actually support that workflow, rather than just generic AI-mention trackers.

You want a platform that combines:

site crawl/index → URL-level content inventory → AI prompt monitoring → response capture → citation extraction → URL-level attribution → share-of-voice reporting.

That's more sophisticated than simply asking "does ChatGPT mention my brand?"

Yes. What you’re describing is usually called AI search visibility / AI share of voice (SOV), and there are now several platforms built specifically for it.

Best fits

The closest match to your description: Scrunch

Scrunch is particularly close to what you're asking for.

It doesn't just ask "does the brand appear?" It records actual AI answers to tracked prompts and analyzes:

• Brand presence: how often your brand is mentioned.
• AI share of voice: your presence versus competitors.
• Citation share: how often your domain/pages are used as sources.
• Specific cited URLs: which pieces of your content are actually being surfaced.
• Competitor citations: which competitor content is winning instead.
• Position: whether you're near the top, middle, or bottom of the answer.
• Platform/topic breakdowns: so you can see where you're winning or losing.

Scrunch explicitly says it records the actual webpages cited every time a monitored AI platform answers a tracked prompt. Scrunch Scrunch

That gives you two related—but importantly different—metrics:

Brand SOV

"How often does AI mention our company?"

Content/citation SOV

"How often does AI use our content as evidence/source material?"

For your wording—"how often our content is surfaced in AI responses after crawling"—the second metric is probably what you actually want.

Profound is the other one I'd seriously evaluate

Profound has a very similar approach. It queries answer engines and builds a dataset from the resulting responses, then exposes Visibility Score, Share of Voice, Citations, Positioning, and sentiment. Profound Knowledge Base

Its newer Profound Index also separates:

• Visibility Score
• Share of Voice
• Citation Share
• Co-citation Share
• Co-mention Share
• Mention Position

and can break these down by topic and LLM. Profound

So if you're evaluating this for an enterprise marketing/SEO/GEO program, I'd put Profound vs. Scrunch at the top of the shortlist.

One important distinction

Don't confuse AI crawling with AI surfacing.

There are really three measurements:

1. Crawl/access: Did GPTBot, ClaudeBot, PerplexityBot, etc. access our page?
2. Citation: Did an AI answer actually link/cite our page?
3. Mention/surface: Did the AI actually use or mention our brand/content in its generated answer?

A page can be crawled thousands of times and never appear in an answer. Conversely, a third-party article about your company might be cited constantly even though your own site isn't.

The strongest platforms therefore combine bot/crawl data + citation data + actual AI-response monitoring. Scrunch, for example, explicitly offers both AI bot traffic and AI response/citation metrics. Scrunch

If you're choosing one specifically for "what percentage of AI answers are powered by/citing our content vs. competitors," I'd start with Scrunch and Profound. CitationBench is interesting if you also want traditional SEO/SERP tracking in the same workflow. CitationBench

If you tell me whether you're looking for this for an SEO/GEO agency, an enterprise brand, or a publisher/content business, I can narrow it down to the 3 best tools and compare pricing, crawling, number of prompts, AI engines, API access, and citation-level reporting.

If you mean AI Share of Voice (AI SOV) — measuring how often your brand/content is surfaced inside answers from ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews, etc. after crawling/running a fixed prompt set — you’re looking for AI visibility / GEO (Generative Engine Optimization) tracking platforms, not traditional SEO crawlers.

Some options:

A few important distinctions:

• AI mention share: “Out of 1,000 tracked AI answers, how many mention us?”
• AI Share of Voice: “When AI answers mention brands in our category, what percentage of those mentions belong to us?” AgentGEO
• Citation share: “How often do AI systems cite our pages/domains as sources?” Citenza
• Content crawl analysis: “Which pages are being discovered/cited, and what content gaps exist?”

For a serious marketing program, I’d look for these capabilities:

1. Fixed prompt universe

Example: 200 buyer questions tracked weekly (“best CRM for startups”, “alternatives to Salesforce”, etc.).

2. Multi-model coverage

ChatGPT + Gemini + Claude + Perplexity + Google AI Overviews/AI Mode.

3. Citation extraction

Not just “brand mentioned,” but which URLs influenced the answer.

4. Competitor benchmarking

Your SOV versus 5–10 competitors.

5. Historical trend data

AI visibility changes over weeks/months.

A typical enterprise stack is:

• Semrush/Ahrefs for SEO intelligence
• Profound/Scrunch/Peec/AskLab/Answyn for AI visibility
• Your own analytics to connect AI mentions → traffic → conversions

If you’re specifically looking for a tool that crawls your website first, then predicts/improves AI surfacing, that is a slightly different category (GEO optimization platforms) than pure AI SOV trackers.

Yes. What you're describing is usually called AI visibility / AI search share of voice / LLM visibility tracking: crawl your site/content, then repeatedly query AI engines and measure whether your pages, domain, or brand are mentioned/cited in the resulting answers.

The strongest options I'd look at are:

• ahrefs.com — probably the best fit if you already use Ahrefs. It explicitly reports mentions, citations, impressions, and AI Share of Voice, including competitive SOV and the ability to inspect the AI responses. Ahrefs Help Center
• tryprofound.com — one of the more enterprise-oriented AI-search intelligence platforms. Good if you want serious monitoring of how your brand/content is appearing across AI search surfaces.
• otterly.ai — strong for prompt-level monitoring of AI answers, citations, competitors and visibility. It is particularly focused on operational GEO/AEO tracking.
• rank.ai — explicitly tracks ChatGPT, Claude, Gemini, Perplexity, Grok, DeepSeek and Google AI Overviews, with daily checks, mention/citation detection and competitive share of voice. Rank.ai
• yext.com — useful if you're interested in enterprise/local/entity visibility. It measures mentions, citations, sentiment and SOV across AI engines. Yext
• zumihq.com — particularly interesting for your content angle because it goes down to the exact URLs/pages being cited, alongside SOV, mention rate and position. Zumi

The distinction I'd pay attention to

There are actually two different things you may mean by "AI share of voice":

1. Brand SOV:

Of all the brands mentioned in AI answers to our target prompts, what percentage belongs to us?

2. Content/citation SOV:

Of all the sources/pages AI uses to construct answers about our category, what percentage comes from our domain/content?

The second is much closer to what you described: crawl our content → determine which pages/topics we cover → query AI → identify which URLs get surfaced/cited → calculate our citation share vs competitors.

Ahrefs, for example, explicitly distinguishes mentions from citations, with citations measuring whether a domain's pages are actually used as sources. Ahrefs Help Center Zumi similarly provides domain- and page-level citation tracking, which is especially useful for figuring out which content is earning AI visibility. Zumi

If this is for a serious marketing/content program

I'd shortlist Ahrefs Brand Radar, Profound, Otterly, and Zumi and compare them on:

One important caveat: don't treat "AI SOV" as a single objective metric. Different vendors calculate it differently. For example, Ahrefs weights AI SOV by estimated prompt impressions, while other tools calculate SOV from the proportion of tracked answers/mentions. Ahrefs Help Center Zumi

If you tell me your company type (B2B SaaS, ecommerce, publisher, agency, etc.) and whether you specifically want your own URLs cited rather than merely your brand mentioned, I can narrow this to the 3 best tools and compare pricing, crawl capabilities, AI engines, API access, and exact SOV methodology.

Yes. What you’re describing is usually called AI visibility / GEO (Generative Engine Optimization) tracking: crawl your site/content, then measure how frequently your pages/domain are surfaced or cited in AI-generated answers, ideally against competitors.

The strongest options I’d shortlist are:

The closest match to your description

otterly.ai is particularly close. It explicitly combines content crawling/auditing with AI-search monitoring. It can crawl pages to assess whether they're accessible/AI-ready, while separately tracking whether your brand/domain appears in AI answers. It also calculates Share of AI Voice and identifies the pages/sites being cited. Otterly

tryprofound.com is the one I'd investigate if you're an enterprise organization and want a more rigorous measurement system. It is particularly focused on the source level: which prompts generate citations, which URLs get cited, how competitors compare, and how the answer/source landscape changes. Tomek Sikora DeepSmith

One important distinction

I'd separate these metrics:

• Mention share — how often the AI names your brand.
• Citation share — how often it links to your domain/content.
• Page citation share — which specific URLs from your site get surfaced.
• AI share of voice — your mentions/citations relative to competitors.
• Prompt coverage — percentage of your target questions where you appear.
• Source influence — which third-party sites are causing the AI to recommend you.

That's important because being mentioned isn't the same as having your content cited. Some AI systems can incorporate information from a source without presenting a link to it. Austin Heaton Digital Applied

If your actual requirement is “crawl our entire website → identify our content → repeatedly query AI engines → map every citation back to one of our URLs → calculate our citation share against competitors”, I'd put Profound and Otterly.AI at the top of the evaluation, with Peec as the third product to test.

If you tell me B2B/B2C, approximate site size, and whether you need ChatGPT + Gemini + Perplexity + Google AI Overviews, I can narrow this down to the 2–3 products that actually fit and compare their crawling, citation attribution, SOV methodology, API, and pricing.

If you mean AI Share of Voice (AI SOV) as in “how often does our brand/content get surfaced, cited, or recommended in ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews, etc. after those systems crawl/retrieve content?”, the category is usually called AI visibility tracking, Generative Engine Optimization (GEO) tracking, or LLM optimization analytics. Citations.io AI Share of Voice

The main tools to evaluate are:

What these tools typically measure

A good AI SOV platform should let you track:

• Prompt coverage — e.g., “best CRM for startups,” “alternatives to Salesforce,” “how to choose accounting software”
• Brand mention rate — % of AI answers where your brand appears
• Citation share — % of cited URLs/domains belonging to you vs competitors
• Competitive AI SOV — your share of mentions compared with named competitors
• Engine breakdowns — ChatGPT vs Gemini vs Claude vs Perplexity vs AI Overviews
• Source/page attribution — which pages are being retrieved or cited
• Historical trends — whether your visibility is improving or declining Scrunch SearchDock

Important distinction

There are two different things people call “AI share of voice”:

1. Answer presence

• “Does ChatGPT mention us when asked a question?”
• Example metric: Brand appears in 42% of tracked answers.
• Citation/source share

• “Does the AI cite our content as the source?”
• Example metric: Our domain receives 18% of citations for tracked prompts.

A platform can score well on one and poorly on the other. AI Share of Voice

If you are specifically interested in “after crawling”

If your goal is measuring whether your own content is being discovered and used after AI crawlers access your site, look for tools that include:

• AI crawler logs (GPTBot, ClaudeBot, Google-Extended, PerplexityBot, etc.)
• Citation tracking
• URL-level attribution
• Content/page-level AI visibility
• Crawl-to-citation correlation

That is slightly different from pure prompt monitoring; some products focus on answer tracking, while others focus on AI crawler behavior. Sitefire

For a marketing team, I would usually shortlist:

• Enterprise: Profound or Scrunch
• SEO-led team: Semrush/Ahrefs plus an AI visibility tracker
• Agency/reporting: Otterly.ai or Peec AI
• Content intelligence: a tool with URL-level citation tracking rather than just brand mentions

The key buying question is: “Do we want to know whether AI mentions us, or whether AI uses our content as a source?” The tools differ significantly on that.

Yes. What you’re describing is usually called AI search visibility / AI share of voice / citation tracking: software runs a defined set of prompts against AI engines, captures the answers and cited URLs, then calculates how often your brand/domain/content appears relative to competitors.

Best fits

One important distinction

There are actually two different things you may want to measure:

1. Brand AI Share of Voice

"In 1,000 relevant AI answers, how often is our brand mentioned compared with competitors?"

2. Content/URL Citation Share

"Of all the sources AI engines cite for these answers, what percentage are our URLs, and which individual pages are being cited?"

The second sounds closer to what you described. OtterlyAI is particularly aligned with it because it tracks individual cited URLs and whether those citations mention your brand, alongside share of voice. Otterly

If you're building a GEO measurement program

I'd define the dashboard roughly as:

• Citation rate: % of AI responses containing at least one URL from your domain
• Brand coverage: % of responses mentioning your brand
• Citation share: your domain's citations ÷ all tracked competitor/domain citations
• Answer position: where your brand/source appears in the answer
• Page-level citations: which URLs get surfaced
• Prompt coverage: which topics/questions produce citations
• Competitor displacement: prompts where competitors are cited but you aren't
• Engine split: ChatGPT vs Gemini vs Perplexity vs Google AI
• Trend: all of the above over time

That's much more actionable than simply asking an LLM whether it "knows" your brand.

My shortlist: If you're primarily a marketing/content team, I'd start with OtterlyAI. If this is a large enterprise GEO program with substantial analytics requirements, evaluate Profound as well. If you want a broad market benchmark rather than only your own tracked prompts, Ahrefs' AI Visibility Index is especially interesting. Otterly TechnologyAdvice Ahrefs

If by "after crawling" you specifically mean “crawl our entire site, then determine which of our pages subsequently get surfaced/cited in AI answers”, that's a narrower requirement—and I can compare the tools specifically on site crawling → page-level citation attribution → AI share of voice.

If you mean AI Share of Voice (AI SOV) — measuring how often your brand/content appears in answers generated by ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews, etc. — you’re looking for AI visibility / Generative Engine Optimization (GEO) tracking platforms, not traditional SEO crawlers.

The main tools in this category are:

How these tools generally work

They usually do not crawl AI models directly (models don’t expose their full retrieval process). Instead they:

1. Build a library of buyer-intent prompts, e.g.:

• “best CRM for startups”
• “alternatives to Salesforce”
• “top accounting software for ecommerce”
• Run those prompts repeatedly across AI engines:

• ChatGPT
• Claude
• Gemini
• Perplexity
• Google AI Overviews / AI Mode
• Parse the responses:

• Was your brand mentioned?
• Was your competitor mentioned?
• Was your content cited?
• What position did you appear in?
• Was sentiment positive/negative?
• Calculate metrics such as:

• AI Share of Voice = your mentions ÷ total brand mentions in tracked answers
• citation share
• recommendation rate
• average answer position
• prompt coverage

For example, Siftly describes AI SOV as the percentage of AI-generated recommendations that include your brand relative to competitors, calculated from tracked prompts across AI platforms. Siftly

If you specifically mean “after crawling our website/content”

Look for platforms that combine:

• content crawling/indexing
• citation tracking
• AI answer monitoring
• recommendation tracking

The closest fits are:

• Profound — enterprise-grade AI visibility intelligence
• Siftly — strong AI SOV reporting and citation analysis Siftly
• RankZero — tracks AI mentions and cited sources across engines RankZero

What I’d evaluate before buying

Ask vendors:

• Do you track actual AI responses or only estimate visibility?
• Can I see the exact prompt + response where we appeared?
• Do you track citations to our URLs, not just brand mentions?
• Can I compare against named competitors?
• Can I segment by product category, country, and customer intent?
• How often are prompts rerun (daily/weekly/monthly)?

A useful benchmark setup is usually:

• 100–500 high-value customer prompts
• 5–10 competitors
• weekly tracking
• citation/source analysis
• AI SOV trend over time

That gives a much more meaningful picture than a single “AI visibility score.” verityscore.io

Yes. What you’re describing is generally called AI visibility / GEO (Generative Engine Optimization) tracking, and there are now several products that measure it.

The important distinction is that you want citation/share-of-voice tracking tied to the actual sources surfaced in AI answers, rather than simply crawling your site and giving you an “AI SEO score.”

Best fits

• tryprofound.com — probably the strongest enterprise option. It tracks how brands appear across AI search, including mentions, citations, competitors, prompts, and the sources AI systems use. Good if you want serious enterprise reporting and attribution. Bloomiro WikiAP
• peec.ai — particularly good for monitoring brand visibility, competitors, prompts, citations and sentiment across AI engines. A strong middle-ground choice for marketing teams/agencies. Bloomiro WikiAP
• otterly.ai — lower-cost way to track prompts and see whether your brand is mentioned/cited versus competitors. Good if you primarily want monitoring rather than a huge enterprise platform. PickMySoft Best GEO Software
• scrunchai.com — more focused on the broader AI-search/agent experience, while also providing visibility and citation monitoring. Bloomiro WikiAP
• citations.io — interesting if your specific requirement is “which of our pages/sites are actually being cited?” It tracks ChatGPT, Gemini, Perplexity and Claude and exposes the sources being cited, along with competitor share of voice. Citations.io
• kitbase.dev — explicitly separates mention rate from citation rate and calculates share of voice based on the actual answers returned by the engines. Kitbase

The measurement model I'd recommend

If your goal is specifically:

“After crawling our content, how often does AI actually surface our content in responses?”

I'd track three different metrics, rather than one generic AI score:

1. Mention SOV — % of relevant AI answers where your brand is mentioned.
2. Citation SOV — % of citations/sources in those answers that point to your domain/content.
3. Content-level citation rate — which specific URLs from your site are being surfaced, for which prompts, engines and competitors.

For example:

That's much more actionable than saying “your AI visibility score is 73.” AI answers are also nondeterministic, so a credible system should run the same prompts repeatedly rather than treating one response as definitive. Verity Score OrganiKPI

One important nuance

“Crawling our content” and “tracking AI share of voice” are usually two separate capabilities.

The visibility platforms generally run a controlled set of prompts against AI engines, capture the returned answers and citations, and calculate SOV. Some also crawl/index your site to identify which pages could be cited and what content gaps exist. Kitbase hypado.com

So if you're evaluating vendors, I'd specifically ask:

Can you tell me, for every AI answer, which exact URL from our domain was surfaced/cited, what prompt triggered it, which competitor URLs were cited, and calculate our citation share over repeated runs?

That question will separate genuine AI citation/SOV measurement from tools that are basically giving you an AI-generated SEO score.

If you tell me whether you're looking for this for an SEO/content team, PR/brand team, or an enterprise analytics stack, I can narrow this down to the 3 best platforms and compare their crawling, AI-engine coverage, SOV methodology, API, and pricing.

Yes. What you’re describing is generally called AI search visibility / Generative Engine Optimization (GEO) tracking, with AI Share of Voice (SoV) as the key metric.

The strongest options I’d look at are:

The important distinction

There are actually two different things you may be asking for:

1. "Does AI mention us?"

The software repeatedly runs a defined set of prompts against ChatGPT, Gemini, Perplexity, Google AI Overviews, etc., then calculates your mention rate and competitor share. Peec, for example, explicitly defines visibility as the percentage of AI responses mentioning your brand and SoV as your mentions divided by total tracked brand mentions. Peec AI Peec.ai Docs

2. "Does AI surface our content?"

This is more sophisticated: which URLs/documents are being crawled, retrieved, cited and ultimately influencing AI responses? Otterly, for example, tracks the URLs cited in answers and whether those citations belong to you or a competitor. Otterly Otterly

If by "after crawling" you mean:

We crawl our entire site, then want to know what percentage of AI answers cite/surface individual pages from that crawl, versus competitors' pages.

I'd prioritize Profound or Scrunch, rather than choosing a tool purely on brand-mention SoV.

If instead you mean:

We have a fixed set of 500–5,000 commercial prompts, and want to repeatedly query AI engines and calculate our AI Share of Voice.

I'd look first at Peec AI and Otterly, with Profound if you're at enterprise scale. Peec is particularly explicit about SoV, competitor comparison, prompt-level visibility and the sources driving rankings. Peec AI

What I'd use as the KPI

I wouldn't use one generic "AI visibility score." I'd build the dashboard around:

• AI Share of Voice = your brand mentions / all tracked competitor mentions
• Answer inclusion rate = % of prompts where you're mentioned
• Citation rate = % of answers citing your domain
• Owned-content citation rate = % citing your specific URLs
• Average answer position
• Competitor displacement = prompts where you replaced a competitor or vice versa
• Prompt coverage = % of important buyer questions where you appear
• Citation share by URL = which pages are actually being used
• Engine-level SoV = ChatGPT vs Gemini vs Perplexity vs Google AI, etc.

That separation matters because being mentioned isn't the same as being cited. A brand can have excellent AI visibility while almost none of the underlying content is actually being cited. austinheaton.com

If you tell me what kind of site/company you have (e.g. B2B SaaS, ecommerce, publisher, agency) and roughly how many pages/prompts you want to track, I can narrow this to the 2–3 best platforms and explain exactly how their crawling → retrieval → AI-response → SoV measurement works.

I'd look first at Peec AI and Otterly, with Profound if you're at enterprise scale. Peec is particularly explicit about SoV, competitor comparison, prompt-level visibility and the sources driving rankings.

What I'd use as the KPI

Yes. What you’re describing is generally called AI visibility / AI share of voice / GEO (Generative Engine Optimization) tracking.

The key distinction is that there are two different measurements:

1. Mention SOV — how often your brand is mentioned in AI answers versus competitors.
2. Citation/source SOV — how often your actual content/URLs are surfaced as sources in those answers.

If your goal is specifically “we crawled/indexed our content; now tell me how often AI engines actually surface those pages in their answers”, I’d shortlist these:

My top 3 for your specific use case

1. Profound — best if you want enterprise-grade source/citation intelligence.

It goes beyond “was our brand mentioned?” and analyzes the sources AI engines use. This is probably closest to what you're describing if you want to connect your content inventory → AI crawler/source behavior → resulting citations/mentions.

2. Peec AI — probably the cleanest SOV product.

Peec explicitly defines visibility as the percentage of AI responses mentioning your brand and reports visibility, position, sentiment, and share of voice by engine. It also identifies the most-cited sources for your tracked prompts. Peec AI

3. OtterlyAI — best if you mainly need monitoring rather than a big enterprise platform.

Its analytics tracks generated answers across multiple AI engines and records brand mentions, citation URLs, competitors, sentiment, rank, and SOV. Otterly

One important caveat

If by “after crawling” you mean:

Crawl our entire website, build an inventory of every URL/content asset, then determine which specific assets are subsequently retrieved/cited by AI engines and calculate our content-level share of voice

—that is more sophisticated than ordinary AI SOV tracking.

Most platforms start with a set of prompts, run those prompts against AI engines, capture the answers/citations, and then calculate SOV. They don't necessarily crawl your entire site first and establish a deterministic relationship between your crawl corpus and AI retrieval.

For example, Peec's workflow is essentially tracked prompts → AI responses → mentions/citations → competitor comparison, while its source analysis identifies which sources are influencing visibility. Peec AI Otterly similarly runs a prompt set and scores the resulting answers and cited URLs. Otterly

So if you're evaluating vendors, I'd specifically ask:

“Can you ingest/crawl our full URL corpus and report citation rate and share of AI citations at the individual URL level—not just brand-level mentions across a predefined prompt set?”

That question will separate the true content-level AI visibility platforms from ordinary brand-monitoring tools.

A recent independent 2026 benchmark also found Profound, Otterly, and Peec among the most frequently surfaced/cited AI-visibility tools themselves, which is a useful indication that these are established players in this category. Foglift

If you tell me whether you're looking for this for SEO/content marketing, an enterprise analytics product, or something you're considering building, I can narrow this to the 3–5 platforms whose underlying data model actually matches your use case.

If you mean AI Share of Voice (AI SOV) — measuring how often your brand/content is surfaced, mentioned, or cited in AI-generated answers after AI engines retrieve information — you’re looking for GEO (Generative Engine Optimization) / AI visibility tracking platforms rather than traditional SEO crawlers. These tools typically run a set of prompts against AI engines, capture responses and citations, and calculate metrics like mention rate, citation share, competitor visibility, and source URLs. Daily.dev Shadow

Some of the main options:

What to look for specifically

For your use case (“after crawling” and “how often our content is surfaced”), prioritize tools that provide:

• Citation-level tracking: “Did ChatGPT cite our URL?” rather than only “Did it mention our brand?”
• Prompt panels: a fixed set of buyer queries tracked over time.
• Engine coverage: - ChatGPT
• Perplexity
• Gemini
• Claude
• Google AI Overviews / AI Mode
• Copilot (if relevant)
• Competitor share comparison: your citation share vs. competitors.
• Source attribution: which pages, articles, reviews, or third-party sites are being pulled into answers. Shadow cloro

If you are coming from an SEO/content background

The closest mental model is:

• SEO ranking tools → “Are we ranking for keywords?”
• AI SOV tools → “When someone asks an AI assistant a relevant question, does it recommend or cite us?”

A typical KPI would be:

AI Citation Share = (AI answers citing your brand/content ÷ total relevant AI answers tracked) × 100

Most mature teams also separate:

• Brand mention share (named in the answer)
• Citation share (your URL/source used)
• Recommendation share (AI says you are a preferred option)
• Competitive displacement (competitor cited instead of you) organikpi.com

For a marketing team, I’d usually shortlist Profound, Ahrefs Brand Radar, Semrush, Peec AI, and Otterly.AI; for an enterprise content/GEO program, look harder at Profound or Scrunch. Geo Software Rankings Foglift

Yes. The category you’re looking for is usually called AI search visibility / AI visibility / GEO monitoring, and several tools now calculate something very close to “AI share of voice.”

The important distinction is that there are two different measurements:

1. AI answer SOV: How often your brand/content is mentioned or cited in AI-generated answers relative to competitors.
2. AI crawler visibility: Whether bots such as GPTBot, ClaudeBot, PerplexityBot, etc. are actually crawling your pages.

If you specifically mean “crawl our site, then determine whether those pages subsequently get surfaced/cited in AI answers,” you’ll want a platform that connects those two datasets. Most tools are much stronger at #1 than at establishing that causal chain.

Best options

OtterlyAI is particularly close to your description on the answer side: it runs your prompt set across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude, records the answers, and measures brand coverage, mentions, citations and share of voice. It can also identify exactly which URLs are being cited. Otterly Otterly

otterly.ai

Scrunch has perhaps the clearest explicit definition of AI SOV: it measures your brand's presence in AI responses against competitors and separately reports citation-level SOV, including what percentage of citations belong to your domain versus competitors/third parties. Scrunch

scrunch.com

Profound is the one I'd investigate first if your requirement is specifically “content → crawling → AI citation/surfacing.” It is positioned more toward enterprise-grade AI visibility and crawler analytics rather than simply prompt monitoring. A current comparison specifically notes Profound's ability to track AI bot crawling at the page level. xSeek Geodocs

tryprofound.com

The metric I would actually ask vendors for

Don't just ask, “Do you measure AI share of voice?”

Ask whether they can produce something like:

AI Content Share of Voice = % of relevant AI answers in which a URL/domain from our content corpus is cited or used as a source, segmented by page, topic, query, engine, and competitor.

And ideally:

Crawled page → indexed/available to AI → cited in answer → brand mentioned → position in answer → SOV

That gives you a much more useful measurement than generic “brand mentions.”

For example, you could discover:

• 2,400 pages crawled by AI bots
• 680 pages appearing in AI citations
• 310 pages generating brand mentions
• 18% citation share for your category
• 27% citation share for competitor A
• 42% of your citations coming from only 25 pages
• 73% of high-value prompts where competitors are cited but you aren't

That is the content-level AI SOV you're describing.

One caveat: don't assume that AI crawler activity proves a page was used to generate a particular answer. Crawling and citation are separate signals. A crawler can visit a page that never gets cited, and an AI answer can sometimes draw on information that isn't directly traceable to a contemporaneous crawl. One current comparison explicitly calls out this gap in Otterly's data. Profound

My shortlist: Profound if you need the crawl → citation connection and enterprise depth; OtterlyAI if you mainly need robust SOV/citation monitoring; Scrunch if you want particularly good competitive and citation-level analysis.

If you tell me whether you're B2B SaaS, ecommerce, publisher/media, or an agency, I can narrow this to the 2–3 platforms that best fit and compare their crawl tracking, AI engines, SOV methodology, APIs, pricing, and ability to attribute citations to individual URLs.

Profound is the one I'd investigate first if your requirement is specifically “content → crawling → AI citation/surfacing.” It is positioned more toward enterprise-grade AI visibility and crawler analytics rather than simply prompt monitoring. A current comparison specifically notes Profound's ability to track AI bot crawling at the page level. xseek.io geodocs.dev

tryprofound.com

The metric I would actually ask vendors for

Don't just ask, “Do you measure AI share of voice?”

Ask whether they can produce something like:

AI Content Share of Voice = % of relevant AI answers in which a URL/domain from our content corpus is cited or used as a source, segmented by page, topic, query, engine, and competitor.

And ideally:

Yes — the category you’re looking for is usually called AI visibility / AI search monitoring / GEO (generative engine optimization) software.

The important distinction is that there are two related measurements:

1. AI Share of Voice (SOV): how often your brand/content is mentioned relative to competitors in AI-generated answers.
2. Citation/source visibility: how often the AI actually cites or links to your URLs as sources.

If your goal is specifically “we publish/crawl content → how often does that content subsequently get surfaced in AI answers?”, I’d look at these:

My shortlist

1. Profound — probably closest to what you're describing

Profound is particularly interesting if you want to connect content → AI crawler activity → AI answer visibility. Its positioning includes AI crawler analytics in addition to monitoring generated answers. That gives you more of the causal chain than a simple “does ChatGPT mention us?” tracker. Profound Geodocs

tryprofound.com

2. OtterlyAI — easiest if you mainly want the SOV number

Otterly runs your defined prompt set across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude, then records mentions, rankings, citations and competitors. It explicitly calculates Share of Voice and Brand Coverage. Otterly Otterly AI

otterly.ai

The distinction is useful: Brand Coverage = percentage of answers where you appear; SOV = your proportion of the brand mentions within those answers. Otterly

3. Peec AI — worth evaluating alongside Profound

Peec is another purpose-built AI visibility platform focused on measuring how brands appear across AI engines and comparing them against competitors. It tends to be positioned between enterprise platforms like Profound and lighter-weight monitoring tools. Conbersa The Rank Masters

peec.ai

One important caveat

If by “after crawling” you literally mean:

We know an AI crawler visited URL X on Monday, and we want to know whether URL X subsequently appeared in AI answers on Tuesday/Wednesday.

That's a more sophisticated requirement than ordinary AI SOV tracking.

Most tools do:

Prompt → AI response → mention/citation → SOV

Whereas what you're describing is:

Your content → AI crawler discovers content → content enters model/search index → AI response → URL/content is surfaced → SOV

Profound is one of the more interesting options for the latter because it combines AI-answer monitoring with AI crawler analytics; Otterly, for example, explicitly focuses on answer/citation visibility rather than showing which AI crawlers visited which pages. Profound

So if you tell me whether you're measuring a brand, a large content site/publisher, or an SEO/content agency, I can narrow this down to the 2–3 products that actually fit your use case, including what each one can and can't attribute at the URL/content level.

Yes. What you’re describing is usually called AI search visibility / GEO (Generative Engine Optimization) tracking: crawl/index your site, then repeatedly query AI engines and measure how often your brand/domain/pages are mentioned or cited, usually against competitors.

The strongest options right now are:

The important distinction in your question

There are actually two different measurements you may want:

1. AI Share of Voice — “How often does our brand/content appear in AI answers?”

Otterly, Profound, Peec, Scrunch, etc. are designed for this. For example, Otterly explicitly calculates the share of AI answers in which your brand appears versus competitors and tracks the URLs AI engines cite. Otterly Otterly

2. AI crawler/indexing activity — “Did GPTBot/ClaudeBot/etc. actually crawl our content, and what happened afterward?”

Profound is particularly interesting here. Its Agent Analytics connects AI crawler activity at the CDN level with subsequent citations and traffic, giving you a chain like published page → AI crawler visit → AI citation → referral → conversion. Profound

That second capability sounds particularly close to what you mean by “after crawling.”

If your goal is specifically content-level attribution

I'd shortlist:

Profound → if you want to understand which of our pages are being crawled, which subsequently get cited, and how our AI share of voice changes.

OtterlyAI → if you primarily want a relatively simple dashboard answering “What percentage of relevant AI answers mention us/cite our pages?” It tracks individual cited URLs and can show which of your pages AI engines actually reference. Otterly

Peec AI → worth evaluating if you have a large prompt set or agency/multi-brand use case.

A recent 2026 benchmark of these tools found Otterly and Profound among the most frequently surfaced/cited tools themselves, which is at least a useful indication of their current category prominence. foglift.io

If you tell me whether you mean “our brand is mentioned” or “our actual website/content URL is cited,” I can narrow this down to the 2–3 tools that best measure exactly that—and explain how each calculates AI share of voice.

Yes — the category you’re looking for is usually called AI search visibility / AEO / GEO monitoring. The important distinction is that you want a platform that does both:

1. Crawls/analyzes your website content, and
2. Runs prompts against AI answer engines and records whether your pages/content are surfaced or cited, so you can calculate AI share of voice.

Best fits

My first look would be Scrunch or OtterlyAI.

1. Scrunch — probably closest to your description

Scrunch

Scrunch explicitly calculates AI share of voice from competitive presence: it runs a defined prompt set across AI platforms, captures the responses, identifies brand mentions, and compares your presence against competitors. It also records the specific webpages cited in those responses. scrunch.com

It goes further than just "was our brand mentioned?" You can see:

• percentage of AI answers containing your brand
• competitor SOV
• which of your URLs are being cited
• which competitor URLs are being cited instead
• citation share by domain/page
• prompt/topic-level visibility
• position of your brand within the answer
• trends over time

It currently says it covers ChatGPT, Perplexity, Gemini, Claude, Google AI Mode/Overviews, Copilot, Grok and Meta AI. scrunch.com

2. OtterlyAI — especially interesting if "our content" is the unit you care about

OtterlyAI

OtterlyAI monitors AI engines for both brand mentions and website citations, and its content-audit functionality is specifically designed to identify why AI engines aren't selecting your content. otterly.ai

So you can get closer to the chain:

our content → crawled/indexable → surfaced/cited by AI → frequency → SOV

It also has an API for programmatic access to reports, prompts, citations and workspace data. otterly.ai

3. Profound — enterprise option

Profound

I'd look at Profound if you're a larger marketing/SEO organization and want AI visibility treated more like an enterprise measurement platform. It belongs in the same monitoring-first category as Scrunch, Otterly and Peec: scheduled prompts → AI answers → mentions/citations → SOV.

One important nuance

If by "our content is surfaced" you mean:

"Which individual articles/pages from our site are actually being retrieved and cited in AI answers, and what percentage of all relevant AI citations do our pages own?"

then don't buy a tool based only on brand mention rate.

You want citation-level SOV.

For example:

1,000 relevant AI responses
→ 2,800 citations
→ 340 citations point to our domain
→ 12.1% citation share of voice
→ 73% of those citations come from 18 specific articles
→ competitors own 61% of citations for our highest-value topic cluster

That's much more actionable than simply saying "our brand appeared in 38% of AI answers."

Scrunch explicitly exposes "Citations by Owner," "Top Domains Cited," and individual cited URLs, while also calculating answer/brand SOV. scrunch.com

And there's an interesting reason to make that distinction: Scrunch's own analysis of hundreds of millions of citation events found that the overwhelming majority of AI citations came from third-party sources rather than brands' own sites. scrunch.com

So if you're evaluating vendors, I'd score them on: prompt coverage × AI engines × response snapshots × URL-level citation tracking × competitive citation SOV × site crawling/content audit × API/export.

If you tell me whether you're B2B SaaS, ecommerce, media/publishing, or an agency, I can narrow this down to the 3 strongest platforms and compare their pricing, crawling capabilities, APIs, AI engines, and exact SOV methodology.

Yes. The category you’re looking for is usually called AI search visibility / AEO / GEO tracking or AI Share of Voice (SoV).

If by “after crawling” you mean “which of our pages/content are actually being surfaced as sources in AI-generated answers?”, I’d look at these:

• tryprofound.com — probably the strongest enterprise option. It tracks brand visibility, citations, competitors and share of voice across major AI answer engines. Good if you want serious reporting and large-scale prompt monitoring. DataDab Studio Mader
• peec.ai — particularly good for measuring which prompts generate mentions/citations, competitor visibility and changes over time. It is more analytics-focused than some of the optimization platforms. DataDab Roberto Serra
• otterly.ai — a good lower-cost option. It explicitly tracks brand and website citations across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini and Copilot, and calculates share of AI voice. Otterly
• scrunchai.com — worth considering if you want monitoring plus recommendations for improving your AI visibility.
• ahrefs.com — interesting if you already use Ahrefs, because AI visibility gets integrated with traditional SEO/brand research. Current comparisons show it covering multiple AI engines. DataDab
• athenahq.ai — more focused on connecting AI visibility measurement with content/optimization workflows. DataDab DataDab

The important distinction

There are actually two different things vendors call “AI visibility”:

1. Brand Share of Voice

Of 1,000 relevant questions asked to AI engines, how often is our brand mentioned versus competitors?

This is what Profound, Peec, Otterly, etc. are primarily measuring. Studio Mader

2. Content / citation Share of Voice

Of the AI answers where our category is discussed, how often does the AI actually use/cite our URLs as sources?

This sounds closer to what you're describing.

For example:

I'd want the software to aggregate that into something like:

AI Content Share of Voice = citations of your domains/pages ÷ total citations across the competitive set

That is considerably more actionable than simply counting brand mentions.

If “crawling” is central to your requirement

I'd specifically ask vendors whether they can give you page-level citation attribution, not merely crawl your site and separately monitor brand mentions.

The ideal system should connect:

your site crawl → individual URLs → AI engine retrieval/citation → prompt → competitor comparison → SOV

rather than:

your site crawl → SEO/content audit

and separately:

AI prompts → brand mention tracking

That's an important distinction because many AEO tools are fundamentally prompt trackers: they repeatedly run a library of buyer questions against AI engines and parse the resulting answers. Studio Mader

If you tell me whether you mean “our brand is mentioned” or specifically “our website URLs/content are cited/surfaced,” I can narrow this to the 3–5 products that actually measure that metric, including which ones crawl your site and which ones don't.

Yes. What you’re describing is generally called AI visibility / GEO / AEO tracking, with AI Share of Voice (SoV) being the key metric.

The important distinction is that some tools merely monitor whether your brand is mentioned, while others connect the AI answer back to the sources/citations that were crawled—which sounds closer to what you want.

Best-fit tools

Profound is probably the one I'd investigate first if you're talking about a serious enterprise implementation. It monitors AI responses and competitive visibility across engines, rather than treating traditional Google rankings as a proxy. Recent comparisons also put Profound among the deeper enterprise-oriented platforms. Foglift DataDab

Semrush Enterprise AIO is particularly interesting because its AI Share of Voice metric incorporates both mentions and position within AI responses, and it provides a competitive SOV view. Semrush

Kitbase is an interesting example of the more transparent approach: it explicitly separates mention rate from citation rate and calculates SoV from actual answers generated for your tracked prompts. Kitbase

But I think you're asking a slightly different question

If your real question is:

"After crawling/indexing the web, which of our pages/content assets are actually getting surfaced as sources in AI answers, and what percentage of the AI conversation do we own?"

then I would look for a platform that gives you both sides of the chain:

Your content → AI crawler/source retrieval → citation → AI answer → brand mention → competitor mention → Share of Voice

That's more useful than simply asking whether ChatGPT mentioned your company.

For example, you ideally want a dashboard that can say:

• Brand AI Share of Voice: 18.4%
• Citation share: 12.7%
• Mention rate: 31%
• Average answer position: #2.4
• Your URLs cited: 47
• Competitor URLs cited: 183
• Most-cited pages: /guide/x, /research/y, /comparison/z
• AI engine: ChatGPT / Gemini / Perplexity / Claude / Google AI
• Prompt/category: "best X", "X vs Y", "how to X", etc.
• Change after publishing: +4.2 percentage points
• Which third-party sites are causing competitors to win

That last part is particularly important. AI SoV is not necessarily proportional to how much content you publish. The models may be citing Reddit, Wikipedia, publishers, review sites, comparison sites, and other third-party sources rather than your own site. Tools that expose those citation sources let you figure out why you're losing visibility.

There are also newer tools explicitly tying citation/source analysis to content gaps; current comparisons identify Profound, Peec AI, Otterly, Scrunch, and Semrush as major players in this space. Spawned Refine AI

My shortlist

If I were evaluating this for a company today, I'd demo these four first:

1. Profound — deepest enterprise-oriented option.
2. Semrush Enterprise AIO — strongest choice if you want AI visibility integrated with an existing SEO/content stack.
3. Scrunch AI — worth testing if the goal is specifically turning AI visibility findings into content actions.
4. Peec AI — good candidate if you primarily need clean competitive AI-visibility/SoV monitoring.

The key demo question I'd ask every vendor is:

"Show me the exact AI answers, the exact citations in those answers, the URL/domain that was cited, and the calculation behind our Share of Voice—not just your proprietary visibility score."

That separates genuine AI-answer monitoring from marketing dashboards built around opaque scores. The underlying answers are non-deterministic, so repeated runs and historical sampling also matter; a single snapshot can be misleading. Verity Score AgentGEO

If you tell me what you mean by "our content" (your website pages, blog posts, PDFs, Reddit/community content, earned media, etc.), I can narrow this to the 3–5 products that actually crawl/correlate those sources and show citation-level AI SoV, rather than generic AI brand-monitoring tools.

"After crawling/indexing the web, which of our pages/content assets are actually getting surfaced as sources in AI answers, and what percentage of the AI conversation do we own?"

then I would look for a platform that gives you both sides of the chain:

Your content → AI crawler/source retrieval → citation → AI answer → brand mention → competitor mention → Share of Voice

That's more useful than simply asking whether ChatGPT mentioned your company.

For example, you ideally want a dashboard that can say:

If you mean AI Share of Voice (AI SOV) — measuring how often your brand/content is surfaced, cited, or recommended in AI-generated answers after the AI systems crawl/index sources — you’re looking for AI visibility / Generative Engine Optimization (GEO) tracking platforms. These tools usually work by running a fixed set of prompts across AI engines, capturing responses, and calculating metrics like:

• Mention share: % of relevant AI answers where your brand appears
• Citation share: % of answers citing your pages/domains
• Competitive share of voice: your visibility vs. competitors
• Source attribution: which pages/sites AI engines rely on
• Prompt-level tracking: which customer questions you win or lose www.shadow.incwww.citeflow.io

Leading options:

A few things to watch for when evaluating vendors:

1. Do they measure citations or only mentions?

A brand being named is weaker than an AI model using your content as a source. www.shadow.inc

2. Do they separate engines?

ChatGPT, Perplexity, Gemini, Claude, and AI Overviews often surface different sources, so an aggregate score can hide important differences. machinerelations.ai

3. Do they track your actual priority prompts?

The best systems let you define queries like:

• “best [category] software”
• “[competitor] alternatives”
• “how to solve [customer problem]”

Then repeatedly measure whether your content appears. www.shadow.incwww.citeflow.io

For a B2B marketing team replacing SEO rank tracking with AI visibility tracking, I’d shortlist:

• Enterprise: Profound, Scrunch, Ahrefs Brand Radar
• Mid-market: Semrush AI Visibility Toolkit, Peec AI, Otterly.AI
• Citation-focused GEO: Citations.io, Zumi

The metric I’d prioritize is citation share by high-intent prompt, not just total mentions, because it is closer to “AI is using our content to answer buyers’ questions.” www.shadow.inc

Yes. What you’re describing is generally called AI visibility / GEO / AEO tracking, with the key metrics being AI Share of Voice, mentions, citations, and “found in”/retrieval frequency.

The strongest options I’d look at are:

The important distinction

If by "how often our content is surfaced in AI responses after crawling" you specifically mean:

We have 5,000 URLs. Which of our URLs are being retrieved/cited by AI systems, in what prompts, and how does that compare with competitors?

then Ahrefs Brand Radar is particularly interesting.

Ahrefs explicitly separates:

• Mention — your brand appears in the generated answer
• Citation — your page is actually cited
• Found in — AI retrieved/used the page while generating the response, even if it didn't cite the page
• AI Share of Voice — your share of AI impressions relative to competitors

That "Found in" metric is much closer to the crawling/content-surfacing concept you're describing than ordinary AI mention trackers. help.ahrefs.comwww.semrush.com

If you're measuring content rather than just brand

I'd prioritize:

1. Ahrefs Brand Radar — best fit if you want to know which URLs/content assets are actually being discovered and cited.

2. Semrush — best if you want a more conventional enterprise SEO dashboard around AI SOV and competitors. Semrush calculates SOV from mentions and prominence/position and lets you break it down by AI platform. www.semrush.com

3. Profound / Otterly — better if your primary job is GEO monitoring rather than traditional SEO. Otterly, for example, tracks a fixed prompt set across ChatGPT, Perplexity, Google AI Overviews/Mode, Gemini and Copilot and reports brand coverage and position. otterly.ai

One caveat: "cited" and "mentioned" are not interchangeable. A recent Semrush study found that a large proportion of AI citations don't result in the brand being explicitly mentioned in the answer. www.semrush.com So I'd build your KPI stack as:

AI SOV → Mention rate → Citation rate → URL-level citations → URL-level "found/retrieved" rate → position/prominence

rather than relying on a single AI visibility score.

If you tell me whether you're looking for a SaaS tool to buy or trying to build this measurement system yourself, I can narrow this down to the 3 best platforms and compare their crawling, prompt coverage, API, URL-level attribution, and pricing.

Yes. What you’re describing is usually called AI search visibility / Generative Engine Optimization (GEO) tracking, with two related metrics:

• AI Visibility / Brand Coverage: how often your brand appears in answers.
• AI Share of Voice (SoV): how much of the total brand presence in those answers belongs to you versus competitors.
• Citation Share: how often your website/content is actually cited as a source, which is slightly different from simply being mentioned.

The strongest tools for this right now are:

If your requirement is specifically "crawl our content → see how often AI surfaces/cites it"

I'd put Profound at the top of the shortlist.

It distinguishes between brand visibility and citation performance, and its reporting can identify the specific pages/domains being cited. It also tracks across ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews/AI Mode, Copilot and others. www.tryprofound.com

Peec AI is particularly interesting if you want a clean definition of SoV: it calculates SoV from your brand mentions relative to all tracked-brand mentions, while separately reporting visibility. It also has crawlability/server-log capabilities, which lets you distinguish "AI bots can access my content" from "my content actually influenced an AI answer." peec.ai

Ahrefs Brand Radar is worth considering if you're already an Ahrefs customer. Its current AI visibility metrics include mentions, citations, impressions and AI Share of Voice, and those metrics are available through its API. help.ahrefs.com

One important distinction

There are actually three different things you might mean by "AI share of voice":

1. Brand SoV

"How often does ChatGPT mention Acme versus HubSpot, Salesforce, etc.?"

2. Citation SoV

"Of all the URLs/domains cited in AI answers, how much belongs to our site?"

3. Content-level AI visibility

"Which of our 10,000 pages are actually being surfaced/cited by AI, for which prompts, and how frequently?"

For an SEO/content team, #2 + #3 are usually more actionable than generic brand SoV. Profound, for example, explicitly reports citation share and top citation pages, while Peec also separates AI visibility from crawlability and actual AI-bot activity. help.tryprofound.com

If you tell me whether you're looking for this for an SEO/content team, an enterprise brand, or an agency, I can narrow these down to the 3 best products and compare their crawling, prompt coverage, AI engines, API access, pricing, and page-level citation tracking.

Yes. What you’re describing is now usually called AI search visibility / AI share of voice / GEO tracking: the software repeatedly runs a defined set of prompts against AI engines, captures the answers and citations, and calculates how often your brand/content appears versus competitors. slatehq.com

The main tools I’d look at

For example, OtterlyAI explicitly calculates "Share of AI Voice" from citations and tracks brand appearances across ChatGPT, Perplexity and Google AI Overviews. otterly.ai CrowdReply goes a step further by calculating SOV by brand, LLM, prompt category and intent, then attributing week-over-week changes to particular prompts/models/competitors. crowdreply.io

But there's an important distinction

If by "after crawling" you mean:

Crawl our entire website → understand our content → monitor AI answers → tell us which of our URLs/content are being surfaced/cited → calculate our AI share of voice

then most AI visibility platforms don't quite do all of that in one measurement.

Most primarily work the other way around:

1. Define buyer prompts
→ 2. Query AI engines repeatedly
→ 3. Capture mentions + citations + source URLs
→ 4. Attribute citations back to domains/pages
→ 5. Calculate SOV against competitors

That's why I'd separate the problem into three metrics:

• Mention SOV — % of relevant AI answers mentioning your brand
• Citation SOV — % of citations/URLs attributed to your domain
• Content citation share — which specific pages from your site are being used as sources

The last one is particularly valuable for content strategy because it tells you what content is actually influencing AI answers, rather than merely whether your brand was mentioned.

My shortlist

If you're evaluating software for a serious marketing/content program, I'd start with:

Profound → if you want enterprise-grade AI search intelligence
Peec AI → if the core use case is content/SEO optimization
OtterlyAI → if you want relatively inexpensive, straightforward monitoring
CrowdReply → if the primary requirement is a clean, quantitative SOV metric

There is also evidence from recent independent comparisons that Profound, Otterly and Peec are among the dominant dedicated tools in this category, with substantial differences in depth, engine coverage and price. foglift.io

If you tell me whether you're looking for this for an enterprise SEO/content team, an agency, or a SaaS product, I can narrow this to the 3 best options and compare their crawling, citation-level tracking, prompt volume, API access, and pricing.

Yes. The category you’re looking for is usually called AI visibility / LLM visibility / GEO tracking. The important distinction is that some tools merely crawl your site and score its “AI readiness,” while others actually run prompts against AI engines, capture the responses, extract mentions/citations, and calculate share of voice.

Best fits

Semrush explicitly describes the methodology as querying multiple AI platforms with a consistent prompt set and comparing your mentions/citations with competitors over time. www.semrush.com DemandSphere similarly says it monitors AI platforms daily for mentions, citations, sentiment and competitive positioning. www.demandsphere.com

Semrush AI Visibility Toolkit

If by "after crawling" you mean something more specific

If your workflow is:

crawl our website → understand our content → generate relevant queries → query ChatGPT/Perplexity/Gemini/etc. → detect whether our content/brand gets surfaced → identify which URL was cited → calculate SOV → tell us what content to create/update

then I'd look particularly closely at Profound, DemandSphere, Indexly, and rank.ai.

There's also an important distinction between:

• Brand mention SOV: “How often does ChatGPT mention Acme vs. competitors?”
• Citation SOV: “How often does ChatGPT cite Acme's domain/content vs. competitor domains?”
• Answer position: “When Acme is mentioned, where does it appear?”
• Citation-level attribution: “Which exact page on our site caused/earned the citation?”
• Prompt coverage: “Across the universe of relevant buyer questions, what percentage produce an Acme mention/citation?”

For content/SEO teams, citation SOV + exact cited URL + prompt-level response is much more actionable than a single AI visibility score. Visibility.so, for example, exposes the exact AI answers and the URLs cited, while its source rankings show which pages AI engines trust for particular keywords. visibility.so

DemandSphere AI Visibility

Indexly AI Search Visibility

rank.ai AI Visibility

One caveat

I would not treat “AI share of voice” as one universal metric yet. Different vendors calculate it differently—some use percentage of responses containing you, others percentage of total brand mentions, and some weight the position of the mention. LLM Pulse, for example, explicitly weights mention quality/position, while Siftly calculates SOV from your mentions divided by total tracked competitor mentions. siftly.ai

So if you're evaluating vendors, ask them:

“Do you calculate SOV from response-level presence, total brand mentions, or citations? And can I export every prompt, raw response, cited URL, model, timestamp, and competitor mention?”

That question will separate the genuinely useful platforms from the ones primarily selling an AI-visibility score.

If you tell me your use case (SEO/content team, agency, enterprise brand, SaaS, etc.) and roughly how many pages/prompts you need to track, I can narrow this to the 3 best platforms and compare their crawling, prompt generation, LLM coverage, SOV methodology, API/export, and pricing.

If you mean AI Share of Voice (AI SOV) as “what percentage of AI-generated answers mention/cite our brand or content when users ask relevant questions,” you’re looking for AI visibility / Generative Engine Optimization (GEO) tracking platforms rather than traditional SEO crawlers. These tools typically run a prompt set across ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews, etc., capture responses, and calculate metrics like mention rate, citation rate, competitor share, and source attribution. www.shadow.inc

Common options:

foglift.iogeolify.com

For your specific wording — “after crawling” — there are two different measurement approaches:

1. AI response tracking (most common)
   • Define 50–500 buyer prompts.
   • Run them periodically through AI engines.
   • Record:
     • Did our brand appear?
     • Was our URL/content cited?
     • Position in the answer?
     • Competitor mentions?
     • Sentiment/context?
   • Calculate AI SOV:

     Brand mentions / Total brand mentions across tracked answers

www.shadow.inc

2. Crawler visibility tracking
   • Monitor whether AI crawlers can discover and access your content:
     • GPTBot / OAI-SearchBot
     • ClaudeBot
     • PerplexityBot
     • Google-Extended
   • Usually done through server logs, robots.txt analysis, and content audits.
   • This measures eligibility to be surfaced, not actual AI share of voice. foglift.iogeolify.com

If you’re building an enterprise dashboard, I’d look for these capabilities:

• Custom prompt libraries (your actual customer questions)
• Multi-model coverage (ChatGPT + Gemini + Perplexity + Claude + Google AI)
• Citation URL extraction
• Competitor benchmarking
• Historical trends
• Export/API access
• Ability to distinguish brand mention vs your owned content being cited

A practical shortlist:

• Enterprise: Profound, BrightEdge, Semrush
• GEO-focused teams: Peec AI, OtterlyAI, Scrunch AI
• SEO teams adding AI visibility: Ahrefs, Semrush

One caveat: AI SOV numbers should be treated as sampled estimates because AI responses vary between runs; robust platforms usually mitigate this by tracking many prompts over time rather than relying on one query snapshot. arxiv.org

Yes. What you’re describing is generally called AI search visibility / GEO (generative engine optimization) tracking, with AI Share of Voice (SOV) being the key metric.

The important distinction is that there are two related things:

1. Crawling your site → understanding your content/entities/topics.
2. Querying AI engines repeatedly → seeing whether your brand/content is actually surfaced, mentioned, or cited in the resulting answers.

The second is what gives you a defensible SOV number. help.ahrefs.com

Strong options

For example, Ahrefs Brand Radar explicitly calculates AI SOV as your percentage of AI-search impressions relative to tracked competitors, while also exposing mentions and citations. help.ahrefs.com

Ahrefs Brand Radar AI visibility documentation

Indexly is interesting if by "after crawling" you mean crawl our site, discover what we're about, then automatically construct/track relevant prompts. It says it crawls/monitors tracked prompts daily and parses the full source lists from AI responses. indexly.ai

Indexly AI Search Visibility

DemandSphere is another good candidate if you want a broader enterprise search stack: it combines AI visibility across 10+ LLM/search surfaces with traditional search data. www.demandsphere.com

DemandSphere AI Visibility

One thing I'd be careful about

Don't buy a tool merely because it says "AI Share of Voice." There are materially different definitions.

For example:

• Mention SOV: % of AI answers mentioning your brand.
• Citation SOV: % of AI answers citing your domain.
• Answer SOV: % of relevant prompts where you appear.
• Position-weighted SOV: appearing as citation #1 counts more than #8.
• Impression-weighted SOV: higher-volume prompts count more heavily.

Ahrefs, for example, uses an impression-weighted definition, while other platforms use answer/mention/citation rates. help.ahrefs.com

And because AI responses aren't deterministic, a serious measurement system should run multiple observations per prompt, rather than asking ChatGPT once and calling that your visibility. Recent research also suggests AI visibility can differ substantially between engines, so I'd insist on per-engine SOV rather than one blended score. machinerelations.ai

If your exact use case is:

"Crawl our entire website → understand our content → generate the relevant buyer questions → query ChatGPT/Gemini/Perplexity/etc. → identify which of our URLs get surfaced/cited → calculate SOV against competitors → show which content is winning/losing."

I'd shortlist Ahrefs Brand Radar, Semrush, Profound, Indexly, and DemandSphere first.

If you tell me whether you're looking for an off-the-shelf SaaS or an API you can plug into your own crawler, I can narrow this down to the 3 best options and compare crawl capability, LLM coverage, prompt generation, URL-level citation tracking, SOV methodology, API access, and pricing.

Yes. What you’re describing is generally called AI visibility / GEO (Generative Engine Optimization) tracking, but there’s an important distinction: some platforms only measure brand mentions, while others track which URLs/content get cited or surfaced after crawling.

The strongest fits

For your exact description — “crawl our site → see which of our content gets surfaced/cited in AI answers → calculate our share of voice” — I'd narrow it to Otterly, Scrunch, and Profound.

Otterly is probably the closest off-the-shelf match. It explicitly combines AI visibility tracking with a Content Audit, crawlability checks, and analysis of which pages to optimize. Its tracker calculates coverage/share of voice and identifies citations across multiple AI engines. otterly.ai

OtterlyAI

Scrunch is particularly interesting if by “after crawling” you mean you want to understand the relationship between AI crawlers consuming your site and subsequent AI visibility. It tracks which AI bots interact with which pages, alongside AI-answer visibility and citations. www.techradar.com

Profound is the one I'd investigate for a larger enterprise program where you care about deep prompt/citation analytics and competitor benchmarking. Current comparisons consistently position it as the more enterprise-oriented option. www.trylyra.ai

One caveat about “AI share of voice”

The SOV number isn't equivalent to Google Search Console impressions. These systems generally run a defined set of prompts repeatedly, capture the resulting answers, and calculate your share of mentions/citations within that monitored prompt universe. otterly.ai

So I'd evaluate vendors on whether they give you this chain:

Prompt → AI response → your brand mentioned? → your URL cited? → which URL? → competitor URLs → frequency over time

rather than simply accepting a proprietary “AI visibility score.”

If your actual goal is “we have 50,000+ URLs; crawl them, determine which content is being cited by LLMs, and quantify our content's share of citations vs competitors”, that's a somewhat more specific requirement than ordinary AI visibility tracking. In that case I can compare Profound vs Scrunch vs Otterly vs Peec specifically on crawling + URL-level citation attribution + SOV, which is probably the useful buying comparison.

Yes. What you’re describing is usually called AI visibility / GEO / AEO tracking, but there’s an important distinction:

1. Brand SOV: how often your brand is mentioned in AI answers.
2. Citation SOV: how often your domain/pages are cited.
3. Content-level surfacing: which specific URLs from your site are retrieved, cited, or otherwise used to construct an AI answer.

If your requirement is specifically “crawl our content → determine which pages AI engines surface/cite → calculate share of voice”, I’d shortlist these:

My first choice: Ahrefs Brand Radar

Ahrefs Brand Radar

This is unusually close to what you're describing because Ahrefs explicitly separates “Citation” from “Found in.”

Their system records pages that an AI engine retrieved while generating an answer even when the page wasn't ultimately cited. So you can distinguish:

Your page was retrieved → your page was cited → your brand was mentioned

rather than treating all three as the same thing. help.ahrefs.com

It also calculates AI Share of Voice, citations, mentions and estimated impressions, and currently covers ChatGPT, Perplexity, Gemini, Copilot, Google AI Overviews/AI Mode and Grok. help.ahrefs.com

That makes it particularly interesting if your question is really “which of our content assets are getting picked up by AI, and how does that compare with competitors?”

Scrunch is probably the strongest alternative

Scrunch

Scrunch lets you look at AI SOV at the prompt/topic level and then drill into the actual AI responses and their citations. Its citations reporting can show citation share by owner, top cited domains, page/topic information, and whether your brand or competitors appear in cited sources. scrunch.com

I'd lean toward Scrunch if you're running a GEO/content optimization program rather than simply wanting another SEO dashboard.

Semrush if you're already deep in SEO

Semrush

Semrush's AI Visibility Toolkit tracks mentions, citations and SOV across multiple AI platforms, and its reporting is designed to connect AI visibility back to content/SEO work. www.semrush.com

One caveat: its SOV is primarily a brand visibility metric, so I'd investigate the exact page-level retrieval data before buying if your core KPI is content surfaced, rather than brand mentioned.

Peec is a good lightweight option

Peec AI

Peec has explicit Visibility, Position, Sentiment and Share of Voice metrics and lets you monitor the prompts and AI models relevant to your category. docs.peec.ai

It's more straightforward if you primarily want:

prompt → AI answer → brand presence → competitor SOV

rather than deep source-level analysis.

One important wrinkle

I wouldn't define your KPI simply as “% of AI responses that cite our content.”

A better measurement stack is:

AI Share of Voice

% of relevant AI answers where your brand appears

Citation Share

% of citations going to your domain vs. competitors

Content Retrieval Rate

% of AI answers in which one of your URLs is retrieved/used

Citation Rate

% of retrieved URLs that actually become visible citations

Page-level AI Visibility

Which individual URLs are repeatedly retrieved/cited

Answer Influence

Whether the AI answer actually incorporates information from your page, rather than merely linking to it.

That last distinction is becoming important: research in 2026 is explicitly separating citation selection from whether the cited page's information is actually absorbed into the generated answer. arxiv.org

So if you're evaluating software for a serious “AI content share of voice” program, I'd test Ahrefs Brand Radar vs. Scrunch vs. Profound first—not just based on their SOV dashboard, but on whether they expose the underlying prompt → response → retrieved URL → cited URL → specific page data.

If you tell me your approximate site size and whether you care more about ChatGPT/Perplexity/Google AI Overviews or all of them, I can narrow this to the 2–3 tools that best fit and compare their crawling, API, prompt volume, pricing and page-level attribution.

Yes. If by “AI share of voice” you mean:

Crawl our site/content → run a defined set of prompts across AI engines → inspect the resulting answers and citations → calculate how often our pages/content are surfaced versus competitors

then there are several tools, but they differ quite a bit in whether they measure brand mentions, citations, or actual source/page-level visibility.

Best fits

The one that sounds closest to your description

Ahrefs Brand Radar is particularly interesting because it explicitly distinguishes between “Citation” and “Found in.” Ahrefs says its system records pages that AI actually cites and pages that AI retrieved behind the scenes but didn't cite. It also provides AI Share of Voice as a metric and exposes the underlying AI responses. help.ahrefs.com

That distinction matters because:

AI retrieved your article ≠ AI cited your article ≠ AI mentioned your brand.

For example:

User asks: “Best project-management software for agencies?”

AI retrieves 10 pages, including your article.
→ Found in: yes

AI cites your article in its sources.
→ Citation: yes

AI actually recommends your company.
→ Mention: yes

Your competitor gets cited 4 times while you get cited once.
→ AI Share of Voice: competitor has substantially more citation share.

If you're specifically interested in content-level performance

I'd look particularly closely at Ahrefs + Scrunch.

Scrunch is differentiated because it combines AI-answer visibility with AI crawler behavior—i.e., which AI bots are accessing your site and which pages they're reading—and can connect that with analytics/traffic. surfacedby.com

That's closer to the architecture you seem to be describing:

Your site → crawl/access data → AI retrieval → AI response → citation/source → competitive share of voice

rather than simply:

prompt → does the brand appear?

One important caveat

Don't treat AI Share of Voice as an exact equivalent of Google Search rankings. AI responses are stochastic: the same prompt can produce different answers and citations at different times. Recent research specifically found substantial variability in citation distributions across repeated AI-search queries. arxiv.org

So I'd want a platform that gives you raw responses + citations + prompt history, not just a proprietary “AI visibility score.”

My shortlist for your particular use case:

1. Ahrefs Brand Radar — strongest fit for content/page citations + competitive AI SoV
2. Scrunch — strongest fit for AI crawlers + pages being accessed + visibility
3. Profound — strongest fit for large enterprise GEO intelligence
4. Semrush AI Visibility Toolkit — strongest fit if you're already heavily invested in Semrush
5. Surfer AI Tracker — strongest fit if the same team is responsible for creating/optimizing the content

If you tell me whether you're trying to measure your own website's content (URLs/pages) or your brand's overall presence, I can narrow this down to the 2–3 products that actually match your use case.

Yes. What you’re describing is usually called AI visibility / GEO (Generative Engine Optimization) monitoring—specifically AI citation share or AI share of voice.

The closest-fit tools today are:

The important distinction

There are actually two different products hiding in your question:

1. “How often does AI surface/cite us?”

Scrunch, Ahrefs, Semrush, Profound and Peec are designed for this. For example, Scrunch explicitly calculates citation share as your share of citation URLs across the AI responses it collects, in addition to measuring brand presence in answers. scrunch.com

Ahrefs takes a particularly large-scale approach: Brand Radar runs millions of search-backed prompts across ChatGPT, Perplexity, Gemini, Copilot and Google's AI surfaces and measures mentions, citations and AI Share of Voice. ahrefs.com

2. “We crawl our site, identify our content, then determine which of our pages are actually being used/cited and why.”

That's a more specialized problem. LatticeOcean is unusually close to this. Its Citation Landscape Scanner extracts the actual URLs cited by ChatGPT, Gemini and Perplexity, records citation frequency and analyzes the cited documents; its next layer compares the structure of those documents against your page. www.latticeocean.com

If I were evaluating vendors for this exact use case

I'd shortlist:

Scrunch → if the KPI is “What percentage of AI answers cite/mention our brand and content?”

Ahrefs Brand Radar → if you want massive prompt coverage + competitor benchmarking + citations.

LatticeOcean → if the KPI is “Which specific pieces of our content are getting cited, and what structural/content characteristics make them citation-worthy?”

One caveat: none of these can literally observe all AI responses generated for real users. They run controlled/structured prompt sets and sample the resulting AI answers. Ahrefs explicitly describes Brand Radar as a structured sampling approach rather than access to private conversations. ahrefs.com

If by “after crawling” you mean “crawl our entire website first, map every URL/topic/entity, then repeatedly query AI engines and calculate the percentage of our crawled content that gets surfaced/cited”, that's a slightly different—and more interesting—product requirement. I can map out which vendors actually support that workflow vs. which only track brand mentions, including the data model you'd want.

Yes. What you’re describing is usually called AI search visibility / AI Share of Voice (SOV) / GEO tracking: crawl/index a site, run a defined set of prompts against AI engines, record whether your brand/content is mentioned or cited, and compare that against competitors.

The strongest options I’d look at are:

The one closest to your description

I'd start with Scrunch.

Scrunch explicitly defines AI SOV as competitive presence—the percentage of AI responses mentioning your brand versus competitors—and says it collects real responses from AI platforms, detects mentions, and calculates competitive presence over time. scrunch.com

Mentionable is another particularly direct match. Its SOV is based on the percentage of AI recommendations captured by your brand versus competitors across tracked prompts, with breakdowns by LLM. mentionable.ai

But there's an important distinction

If by "our content is surfaced" you mean your actual URLs/content are being cited, rather than simply your brand being mentioned, I'd prioritize a platform that separates:

AI visibility

"Does AI mention/recommend our brand?"

Citation share

"Does AI cite our domain/content as a source?"

Citation frequency

"How often is URL X cited?"

Citation position

"Are we the first/primary source or citation #7?"

Content absorption

"Is the AI actually using information from our page in its answer?"

That last one is increasingly important. Recent research distinguishes merely being selected as a citation from your content actually being absorbed into the generated answer. arxiv.org

For that use case, DeepSmith looks particularly relevant because it explicitly tracks mention rate, citation rate, SOV, and the sources behind the answers. deepsmith.ai

My shortlist

If I were evaluating these for a content/SEO organization, I'd demo them in this order:

1. Scrunch — best fit for enterprise AI SOV + competitive intelligence.
2. DeepSmith — best fit if the content/citation side matters as much as brand mentions.
3. Mentionable — clean, direct SOV measurement.
4. Siftly — good marketing-oriented SOV/trend reporting. siftly.ai
5. Semrush AI Visibility Toolkit — attractive if you want AI visibility integrated with your existing SEO stack.

One caveat: "crawling your content" and "measuring whether AI surfaces your content" are two different capabilities. Most AI visibility tools primarily crawl/query AI responses and inspect the citations, rather than crawling your site and deterministically attributing every AI answer to a page on your site.

If you tell me whether you're looking for this for SEO/content marketing, an agency dashboard, or an enterprise product, I can narrow this to the 3 best tools and compare pricing, APIs, crawling, prompt volume, LLM coverage, and whether they can attribute SOV to individual URLs/content pieces.

The category you’re looking for is usually called AI visibility tracking, GEO (Generative Engine Optimization) analytics, or AI search share-of-voice (SOV) measurement. These tools typically work by:

1. Defining a set of prompts/questions your customers ask AI systems.
2. Running those prompts across AI engines (ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews, etc.).
3. Recording whether your brand/content is mentioned or cited.
4. Calculating metrics like AI share of voice, citation share, competitor visibility, and content gaps. otterly.aiwww.tryprofound.com

Some of the leading tools:

For your specific use case — “how often is our content surfaced in AI responses after crawling?” — I’d look for these capabilities:

• Citation tracking: Does the tool tell you which URL/content asset the AI cited?
• Prompt universe management: Can you define hundreds of customer-intent prompts?
• Competitive SOV: “We appear in 18% of answers; competitor A appears in 42%.”
• Crawler/index monitoring: Does it show AI bot access and crawlability issues?
• Change tracking: Can you see whether a content update increased AI citations?

A practical shortlist:

• Large enterprise / brand teams: Profound
• SEO/content teams: Peec AI or Semrush
• Fast monitoring without heavy setup: Otterly AI
• Agency/client reporting: Scrunch AI

One caveat: these tools generally measure observed AI responses, not the true internal training-data influence of your content. A page being crawled does not guarantee it will be surfaced; the measurable signal is usually “when asked these prompts, did the AI cite or mention us?” otterly.ai

If you mean AI Share of Voice (AI SOV) as in “how often does our brand/content appear in AI-generated answers (ChatGPT, Gemini, Claude, Perplexity, etc.) compared with competitors?”, you’re looking for AI visibility / generative engine optimization (GEO) tracking platforms rather than traditional SEO crawlers.

Some tools that measure this by running prompts, collecting AI responses, and tracking brand/content mentions:

Typical workflow these tools use:

1. Define prompt sets
   • “Best CRM software for startups”
   • “Alternatives to [competitor]”
   • “Who are the leaders in [category]?”

2. Run prompts across AI engines
   • ChatGPT
   • Google Gemini
   • Claude
   • Perplexity
   • AI Overviews (where available)

3. Measure
   • Brand mention rate (% of answers containing your brand)
   • Citation/share rate (% of answers citing your pages)
   • Position/ranking in AI recommendations
   • Competitor share of voice
   • Sentiment/context of mentions
   • Which pages/domains get cited

4. Connect results back to crawling/content
   • Identify which URLs are being surfaced
   • Compare cited pages vs. non-cited pages
   • Find content gaps where competitors are cited more often

If your specific goal is “we crawl our own content and want to know how much of it is being surfaced in AI answers”, I’d look first at Profound, Scrunch AI, Otterly.AI, or Peec AI because they are closer to AI citation/visibility analytics than general SEO suites.

A useful distinction:

• AI Share of Voice → “How often does the AI mention us?”
• AI Citation Share → “How often does AI cite our pages?”
• AI Crawlability → “Can AI systems discover and understand our content?”

The best platforms usually combine all three.

If you're trying to measure AI Share of Voice (AI SoV)—that is, how often your brand, website, or content appears in responses from AI systems like ChatGPT, Gemini, Claude, or Perplexity after they've crawled or indexed the web—there are now several specialized platforms.

Here's how the landscape breaks down:

The most mature AI SoV platforms

Profound

• Often considered one of the leaders in enterprise AI visibility.
• Measures:
  • Share of voice across prompts
  • Brand mentions
  • Citation frequency
  • Competitor comparisons
  • Changes over time
• Designed specifically for generative AI rather than traditional search.

Best for: large brands and enterprise marketing teams.

Scrunch AI
Focuses on helping brands understand:

• whether AI models mention them,
• which pages are being surfaced,
• where competitors are winning,
• and what content changes could improve visibility.

Also provides optimization suggestions rather than just reporting.

Peec AI
Popular with SEO and content teams.

Typical workflow:

• Define prompts you care about.
• Run them regularly across multiple AI engines.
• Measure:
  • visibility %
  • citations
  • ranking position within AI answers
  • competitor share of voice.

Enterprise SEO suites

Major SEO vendors are increasingly adding AI visibility dashboards.

For example:

• AI Overview monitoring
• AI citation tracking
• Brand mention tracking
• Prompt monitoring
• AI search performance alongside Google Search Console data

These features are improving rapidly, but they're generally less specialized than dedicated AI visibility platforms.

What "AI Share of Voice" usually measures

A good platform doesn't just ask whether your site has been crawled. It repeatedly runs representative prompts and records metrics such as:

• Percentage of prompts mentioning your brand
• Citation frequency
• Which URLs are cited
• Competitor comparison
• Mention sentiment
• Prompt categories where you appear
• Changes over time
• Visibility by AI engine (ChatGPT vs Gemini vs Perplexity vs Claude)

Example dashboard:

If you're evaluating vendors

I'd look for support for:

• Multiple AI engines (not just ChatGPT)
• Scheduled prompt monitoring
• Citation/URL attribution
• Competitive benchmarking
• Historical trend reporting
• API access
• Custom prompt sets aligned with your business
• Geographic or language segmentation if relevant

The strongest current category leaders for dedicated AI Share of Voice are generally Profound, Scrunch AI, and Peec AI, while enterprise SEO platforms like Semrush are quickly expanding their AI visibility capabilities. If your primary goal is measuring how often your content is surfaced in AI-generated answers rather than traditional search rankings, a dedicated AI visibility platform is usually the better fit.

If you're looking to measure AI Share of Voice (AI SOV)—how often your brand or content appears in responses from AI assistants after those systems have crawled or indexed the web—there are now several specialized platforms. They differ in how they define "share of voice," which AI models they test, and whether they measure citations, mentions, rankings, or answer inclusion.

Here's a comparison of the leading options:

1. Profound

One of the best-known enterprise AI visibility platforms.

Strengths:

• Tracks thousands of prompts automatically.
• Compares your brand against competitors.
• Shows which pages AI models cite.
• Historical trend reporting.
• Good executive dashboards.

Best for:

• Fortune 1000
• Large marketing organizations
• AI SEO teams

2. Goodie

Built specifically around Generative Engine Optimization (GEO).

Features:

• Prompt libraries
• AI Share of Voice
• Competitive benchmarking
• Topic coverage
• Opportunity discovery

Good balance between enterprise capabilities and usability.

3. Peec AI

Popular with SEO practitioners.

Good for:

• Monitoring how AI assistants answer important queries.
• Tracking visibility changes over time.
• Watching competitors gain or lose mentions.
• Detecting which content influences responses.

Usually less expensive than enterprise offerings.

4. AthenaHQ

Focuses on AI visibility monitoring.

Tracks:

• Mentions
• Citations
• Ranking within AI answers
• Share of Voice
• Topic ownership

Useful for agencies managing multiple brands.

5. Scrunch AI

More focused on helping brands become AI-discoverable.

Includes:

• Crawl diagnostics
• AI indexing insights
• Content recommendations
• Visibility scoring
• Competitive benchmarking

Popular among larger B2B companies.

6. Otterly.AI

A simpler, lower-cost monitoring solution.

Provides:

• Prompt tracking
• Weekly monitoring
• AI answer snapshots
• Brand mentions
• Competitor tracking

Good starting point for smaller teams.

7. Semrush AI Toolkit

Useful if you're already invested in traditional SEO.

Combines:

• Organic search
• AI search
• Brand visibility
• Competitor comparisons
• Keyword overlap

Makes it easier to compare Google SEO performance with AI search performance.

8. Ahrefs Brand Radar

More focused on measuring brand visibility across the web and AI-influenced search experiences.

Useful for:

• Brand mention tracking
• AI Overview presence
• Competitor comparison
• Content authority

What these tools actually measure

Most platforms don't directly observe an AI model's internal "crawl." Instead, they repeatedly test prompts across supported AI systems and aggregate metrics such as:

• Share of Voice: Percentage of tracked prompts where your brand appears.
• Citation rate: How often your pages are cited or linked.
• Mention rate: How often your brand is named.
• Position: Whether you're the primary recommendation or one of several.
• Topic coverage: Which subjects you own versus competitors.
• Answer sentiment: Positive, neutral, or negative mentions.
• Visibility trends: Changes after publishing new content.

Some also identify:

• Which competitor pages AI prefers.
• Which content formats (guides, FAQs, documentation, reviews) are most frequently surfaced.
• Pages that AI assistants reference but users rarely visit directly.

If you're choosing a platform

• Enterprise (large brands): Profound, Scrunch AI, AthenaHQ
• Mid-market: Goodie, Peec AI
• Small business or startup: Otterly.AI
• Existing SEO workflow: Semrush AI Toolkit or Ahrefs Brand Radar

One thing to keep in mind is that no tool can measure an AI model's complete internal knowledge or every possible response. Instead, these platforms estimate AI visibility by systematically querying AI systems with large prompt sets and tracking how often your brand or content is surfaced, cited, or recommended over time. For most marketing teams, this is currently the most practical definition of "AI Share of Voice."

If you're specifically trying to measure AI Share of Voice (AI SOV)—that is, how often your brand or content appears in responses from AI systems like ChatGPT, Gemini, Claude, Perplexity, and AI-powered search—there's now a growing category of software built for this.

Here are some of the better-known options:

What these platforms actually do

Most AI SOV platforms:

• Generate hundreds or thousands of prompts relevant to your industry.
• Query AI systems such as ChatGPT, Gemini, Claude, Perplexity, and others on a recurring schedule.
• Record whether:
  • your brand is mentioned,
  • competitors are mentioned,
  • your website is cited or linked,
  • AI recommends your products,
  • specific pages from your site are surfaced.
• Calculate metrics like:
  • AI Share of Voice
  • Mention frequency
  • Citation frequency
  • Average ranking/order of mentions
  • Sentiment
  • Topic coverage

Crawling your own content

Some platforms also crawl your website to understand what AI models are likely to find:

• documentation
• blog posts
• product pages
• FAQs
• structured data
• knowledge base
• schema markup

They then identify content gaps where competitors are appearing in AI answers but you are not.

Enterprise leaders

For larger organizations, the names that come up most often are:

• Profound
• Scrunch AI
• AthenaHQ

These typically support:

• scheduled monitoring across thousands of prompts,
• competitive benchmarking,
• executive dashboards,
• alerts when visibility changes,
• API access.

Best value for smaller teams

If you're a startup or mid-sized marketing team:

• Otterly.AI is relatively straightforward and focused.
• Peec AI emphasizes AI search analytics and competitive tracking.
• Goodie is designed around AI discoverability and optimization.

Important limitation

No tool can directly measure what every user sees in AI responses. AI outputs vary based on:

• the model used,
• prompt wording,
• personalization,
• retrieval context,
• timing.

Instead, these platforms estimate AI Share of Voice by running a large, representative set of prompts over time. That makes them useful for tracking trends, comparing competitors, and measuring the impact of content changes, rather than providing an exact percentage of all AI responses.

If your goal is specifically "how often our website is surfaced after an AI crawler indexes it", then I'd recommend looking at enterprise AI visibility platforms like Profound, Scrunch AI, or AthenaHQ, as they're built around that use case rather than traditional SEO metrics.

If you're looking to measure AI share of voice (AI SoV)—that is, how often your brand or content appears in responses from AI systems after they crawl and index the web—there are now several tools built specifically for this. Most of them monitor prompts across models (ChatGPT, Gemini, Claude, Perplexity, etc.), track brand mentions, competitors, citations, and trends over time.

Here are some of the leading options:

What these tools actually measure

Most platforms don't literally observe "the crawler." Instead they:

• Run thousands of prompts against multiple AI assistants on a schedule.
• Record whether your brand or pages appear.
• Measure:
  • AI Share of Voice
  • Brand mention frequency
  • Citation frequency
  • Position/order in responses
  • Competitor comparisons
  • Prompt categories (informational, commercial, local, etc.)
• Track changes over time.

Some also identify which URLs are being cited so you know what content AI systems are relying on.

If you specifically want to know whether your content has been incorporated into AI responses

This is harder because model training and retrieval are different:

• Retrieval-based systems (like many web-enabled AI assistants) can often expose citations, making attribution easier.
• Model-trained knowledge usually doesn't reveal exactly when or how your content influenced an answer.
• No public tool can definitively tell you "GPT crawled this page on Tuesday and now uses it."

Instead, these products infer visibility by repeatedly querying AI systems.

Enterprise leaders

If budget is less of a concern, the strongest products are generally:

1. Profound — widely used by enterprise marketing teams for AI visibility and competitive benchmarking.
2. Semrush AI Toolkit — integrates AI visibility into broader SEO workflows.
3. Scrunch AI — focused on Generative Engine Optimization (GEO) with actionable recommendations.

For startups and SMBs

• Otterly.AI
• Peec AI
• Rankscale.ai

These tend to be more affordable while still providing prompt monitoring and AI visibility dashboards.

If your goal is specifically measuring AI Share of Voice for a brand across ChatGPT, Gemini, Claude, and Perplexity, I'd prioritize evaluating Profound, Semrush AI Toolkit, and Scrunch AI first, then compare them against Otterly or Peec if you're looking for a lighter-weight or lower-cost solution.