Positive mentions of Peec AI
4 answers this week mention Peec AI in a positive tone. Topic: AI crawler analytics. Week of 14th to 20th Sep 2026.
"which software can measure ai share of voice by tracking how often our content is surfaced in ai responses after crawling"
Yes. The main software category is AI Search / AEO / GEO visibility tracking.
- otterly.ai — tracks mentions, citations, share of voice, competitors, and which URLs AI engines cite across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Claude and Copilot. Otterly Otterly
- Profound — more enterprise-oriented; combines AI-response monitoring with AI-crawler analytics, so it can connect crawling → citations/visibility. Profound
- Peec AI — particularly focused on citation/source-level analysis and AI visibility tracking. Geodocs
- AthenaHQ / Semrush AI Toolkit / Ahrefs Brand Radar — additional options for AI visibility and brand-mention monitoring. aeoforged.com datadab.com
For your specific requirement—“our content gets crawled, then how often does it actually surface in AI responses?”—Profound is the closest conceptual fit. Otterly is stronger if you primarily want straightforward share-of-voice reporting. Profound
Behind this answer: no web searches, 5 tracked brands mentioned
ChatGPT answered from its own knowledge, without searching the web.
Tracked brands mentioned
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”:
- Mention share — how often your brand is named in an AI answer.
- Citation share — how often your website/domain is used as a source.
- 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.
Behind this answer: no web searches, 4 tracked brands mentioned
ChatGPT answered from its own knowledge, without searching the web.
Tracked brands mentioned
Answer 3 of 4, 16th Sep 2026, unknown, mentions you positive tone, cites your site
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:
- Brand mention rate — % of AI responses that mention your company.
- Citation rate — % of responses that cite/link to your website.
- 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.
Behind this answer: no web searches, 5 tracked brands mentioned
ChatGPT answered from its own knowledge, without searching the web.
Tracked brands mentioned
Answer 4 of 4, 14th Sep 2026, unknown, mentions you positive tone
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
| Software | Best for | What it measures |
|---|---|---|
| Profound | Enterprise / serious GEO program | AI mentions, citations, competitors, prompts, sources, share of voice |
| Peec AI | Mid-market / agencies | AI visibility, competitor SOV, citation/source analysis |
| Otterly.AI | Simple + inexpensive monitoring | Prompt tracking, mentions, citations, competitors |
| Semrush AI Visibility Toolkit | Teams already using Semrush | AI share of voice, visibility, mentions, competitor comparisons |
| Scrunch AI | Enterprise AI visibility | Brand presence and citations across AI answer engines |
| xSeek | AI visibility + crawl analytics | AI citations plus AI-bot crawling/page-level data |
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:
- Profound — strongest choice if this is becoming a serious enterprise KPI.
- Peec AI — particularly interesting if you care about competitive SOV and source-level analysis.
- Otterly.AI — good if you primarily want straightforward prompt/mention/citation monitoring.
- 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:
Behind this answer: no web searches, 5 tracked brands mentioned
ChatGPT answered from its own knowledge, without searching the web.
