ChatGPT answers, unedited

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 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 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 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.