Answers that mention Peec AI
4 of 62 answers this week mention Peec AI. Topic: AI crawler analytics. Week of 24th to 30th Aug 2026.
"which software can measure ai share of voice by tracking how often our content is surfaced in ai responses after crawling"
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:
| Software | Best for | What it measures |
|---|---|---|
| Profound | Enterprise AI visibility monitoring | Brand mentions, citations, competitor tracking, AI search analytics across major AI engines. Geo Software Rankings Foglift |
| Ahrefs Brand Radar | SEO teams extending into AI search | AI mentions/citations alongside traditional SEO research workflows. Geo Software Rankings |
| Semrush AI visibility features | Existing SEO customers | AI search presence and competitive visibility tracking. Foglift |
| Peec AI | Agencies and multi-client reporting | Prompt tracking, AI mentions, competitor comparisons. Geo Software Rankings |
| Otterly.AI | Smaller teams and agencies | AI answer monitoring, citations, and visibility reporting. Foglift |
| Scrunch AI | Enterprise GEO programs | AI visibility measurement plus optimization workflows. Geo Software Rankings |
| Citations.io | Teams focused on citation tracking | Tracks when AI engines mention brands and which URLs they cite. Citations |
| Shadow | PR/comms teams | AI SOV measurement across AI engines and competitor analysis. Shadow |
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
Behind this answer: no web searches, 6 tracked brands mentioned
ChatGPT answered from its own knowledge, without searching the web.
Tracked brands mentioned
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:
- AI answer SOV: How often your brand/content is mentioned or cited in AI-generated answers relative to competitors.
- 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
| Platform | AI answer SOV | Citation/page tracking | AI crawler analytics | Best for |
|---|---|---|---|---|
| Profound | Excellent | Excellent | Yes | Enterprise |
| OtterlyAI | Excellent | Excellent | Limited/no crawler analytics | Marketing teams |
| Scrunch | Excellent | Excellent | Some crawl/content analysis | Agencies & brands |
| Peec AI | Excellent | Excellent | Limited | SOV/competitive monitoring |
| Ahrefs Brand Radar | Good | Good | No/limited | Existing Ahrefs users |
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
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
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
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
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:
Behind this answer: no web searches, 5 tracked brands mentioned
ChatGPT answered from its own knowledge, without searching the web.
Tracked brands mentioned
Answer 3 of 4, 25th Aug 2026, unknown, mentions you positive tone, cites your site
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:
- AI Share of Voice (SOV): how often your brand/content is mentioned relative to competitors in AI-generated answers.
- 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:
| Platform | Best for | SOV / mentions | URL citations | AI crawler data |
|---|---|---|---|---|
| Profound | Enterprise / deepest measurement | ✅ | ✅ | ✅ |
| Peec AI | Marketing/SEO teams | ✅ | ✅ | Limited |
| OtterlyAI | Affordable, straightforward monitoring | ✅ | ✅ | ❌ |
| Scrunch | Agencies / brand monitoring | ✅ | ✅ | Some |
| Semrush / Ahrefs | Adding AI visibility to existing SEO stack | ✅ | ✅ | Limited |
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
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
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
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.
Behind this answer: no web searches, 6 tracked brands mentioned
ChatGPT answered from its own knowledge, without searching the web.
Tracked brands mentioned
Answer 4 of 4, 24th Aug 2026, unknown, mentions you positive tone, cites your site
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:
| Software | Best for | What it measures |
|---|---|---|
| tryprofound.com | Enterprise / deepest analytics | AI mentions, citations, share of voice, prompt-level results, plus AI crawler activity |
| otterly.ai | Best straightforward tracker | Brand coverage, share of voice, citations, competitor visibility across ChatGPT, Perplexity, Gemini, Google AI, Claude, Copilot |
| peec.ai | Agencies / multiple brands | AI visibility, mentions, citations, competitors, prompt tracking |
| scrunchai.com | Enterprise brand monitoring | AI visibility, mentions/citations, competitive monitoring |
| semrush.com | If you're already a Semrush customer | AI visibility/share of voice integrated with conventional SEO data |
| ahrefs.com | SEO teams already using Ahrefs | AI mentions/citations and competitive visibility |
The important distinction in your question
There are actually two different measurements you may want:
- 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
- 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.
Behind this answer: no web searches, 6 tracked brands mentioned
ChatGPT answered from its own knowledge, without searching the web.