Neutral mentions of Peec AI

The category you’re looking for is usually called AI visibility tracking, Answer Engine Optimization (AEO) tracking, or Generative Engine Optimization (GEO) analytics. These tools monitor how your website/brand appears in AI-generated answers across assistants and answer engines from a single dashboard. ranklogs.comwww.answerradar.com

Some tools that do this:

Typical dashboard metrics include:

• AI share of voice — how often your brand appears versus competitors
• Citation tracking — which pages/sites AI assistants use as sources
• Prompt tracking — whether you appear for customer questions
• Assistant-by-assistant breakdown — ChatGPT vs Gemini vs Perplexity vs Claude
• Competitor monitoring
• Historical trends — whether visibility is improving or declining ahrefs.com

If you’re choosing one:

• SEO teams already using traditional tools: Ahrefs is a natural fit. ahrefs.com
• Enterprise marketing teams: Profound/Peec-style platforms are usually aimed at larger programs.
• Smaller teams wanting a focused AI search dashboard: Ranklogs, AnswerRadar, or Allmond are worth evaluating. ranklogs.com

The main thing to check is whether the tool tracks actual AI responses and citations, not just keyword rankings, because AI assistants do not work like traditional search engines. ahrefs.com

If your goal is specifically to track and compare brand visibility across AI answer engines over time, my first choice would be tryprofound.com.

Why Profound

It is particularly strong for an in-house marketing/SEO team because it lets you:

• Track visibility and share of voice for your brand versus competitors.
• Monitor the same prompts repeatedly and see how visibility changes over time.
• Break results down by AI platform, topic, region, and audience/persona.
• Track ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews/AI Mode, Copilot, Grok, DeepSeek, and others depending on plan. Profound Profound Knowledge Base
• See which sources AI engines cite, not just whether your brand is mentioned.
• Analyze mention position and sentiment.
• Use real-user prompt data to build a monitoring set rather than relying entirely on keywords you invent. Profound says its prompt-research dataset contains 1.3B+ real user AI conversations. Profound
• Compare time periods directly; its dashboards support date ranges and previous-period comparisons. Profound Knowledge Base

The important distinction is that you're not just getting a "did ChatGPT mention us?" report. You can build something closer to an AI share-of-voice dashboard: Are we becoming more visible than our competitors, for which questions, in which engines, and why?

Two alternatives worth evaluating

otterly.ai — I'd shortlist this if you want something more accessible and monitoring-focused. It tracks brand mentions, citations, sentiment and share of voice across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude, with daily tracking and competitor comparisons. Otterly Otterly

Peec AI — worth including in a bake-off if you want a simpler analytics-oriented product. Current 2026 comparisons generally put it in the more lightweight/accessible category, whereas Profound is positioned more toward enterprise-depth analysis. Refine AI Baarely

My recommendation

For your use case, I'd pilot Profound and OtterlyAI against the exact same 50–100 customer prompts for 4–6 weeks. The key thing I'd evaluate isn't the headline "number of AI engines" but whether the tool gives you a stable, reproducible trend line for visibility, share of voice, competitor position, and citations.

If you tell me roughly your company size, industry, number of brands/products, and whether you need agency/client reporting, I can narrow this down to the best 2–3 options and compare current pricing, engine coverage, prompt limits, API/reporting, and data methodology.

Yes. The category is usually called AI visibility tracking, AI citation tracking, Generative Engine Optimization (GEO) tracking, or Answer Engine Optimization (AEO) monitoring. These tools don't literally crawl every AI assistant in the way Googlebot crawls the web; instead, they typically run tracked prompts against AI assistants, capture the answers, and record which domains/pages are cited or mentioned. Slate Foglift

Tools worth looking at:

• ahrefs.com — Tracks visibility across ChatGPT, Gemini, Perplexity, Copilot, and Google AI surfaces; reports mentions and cited domains/pages. Ahrefs
• otterly.ai — Focused on monitoring AI search results, citations, and crawlability signals across major AI answer engines. Citation Hawk
• conductor.com — Enterprise SEO platform with AI visibility/citation tracking capabilities. Citation Hawk
• tryprofound.com — Enterprise-focused AI search monitoring (often used by larger brands).
• peec.ai — Tracks brand visibility and citations in AI answers.
• citations.io — Specifically focused on which AI engines cite your brand and which sources they use. Citations.io
• indexly.ai — Tracks mentions, citations, sentiment, and AI referral traffic. Indexly

What you generally get from these platforms:

• Which AI assistants cite you

• ChatGPT
• Perplexity
• Gemini
• Claude
• Google AI Overviews / AI Mode
• Copilot (varies by vendor) Slate
• Which of your URLs appear

• /blog/how-to-x
• /docs/product-guide
• /research/report
• pricing/product pages
• The prompt that triggered it

• “best CRM for startups”
• “alternatives to X”
• “how do I solve Y problem”
• Who beats you

• competitor domains cited instead
• third-party pages ranking above your own content
• Trends

• citation share over time
• new pages being picked up
• lost citations

One important distinction: if you mean “which AI crawlers are actually visiting my site”, that is a different problem. You’d look at server logs, CDN analytics, or bot-management tools to identify crawlers such as GPTBot, ClaudeBot, Google-Extended, etc. If you mean “which of my pages are being used as sources in answers users see”, the AI citation trackers above are the right category. Foglift

For a marketing/SEO team, I’d usually evaluate them by asking:

1. Can it show the exact prompt + AI answer + cited URL?
2. Does it track your competitors’ citations?
3. Can it export the data?
4. Does it distinguish mention vs actual linked citation?

Those four capabilities are more useful than a single “AI visibility score.” Ahrefs Foglift

For an enterprise looking to track AI-assistant visibility and competitive share of voice, I’d put tryprofound.com at the top of the shortlist, with scrunchai.com as the strongest alternative.

My ranking

1. Profound — best overall for enterprise

Profound is particularly strong if your objective is “What share of AI-generated answers does our brand own versus competitors, and why?”

It tracks visibility and SOV across major answer engines including ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews/AI Mode, Copilot, Grok and others. Its metrics include Visibility Score, Share of Voice, Mention Position, Citation Share, Co-citation Share and Co-mention Share. Profound Profound

The big differentiator for an enterprise is demand data. Profound says its Prompt Volumes product is based on 1.3B+ real user conversations, allowing you to weight visibility by actual demand rather than treating every tracked prompt equally. Profound

Its newer Profound Index is also useful for executive benchmarking because it compares brands across industries, topics, LLMs and mention positions; the current Summer 2026 index says it is based on 1.9B+ real user conversations across 50+ industries. Profound

I'd choose Profound if: you need a corporate-level AI Search/SEO intelligence system that can eventually feed into reporting, content strategy and executive KPIs.

2. Scrunch — arguably better for forensic competitive analysis

scrunchai.com is excellent if your team wants to go from “we're losing SOV” → “here are the exact prompts, competitors and sources causing it.”

It measures competitive presence across platforms and lets you drill from aggregate SOV into topic → prompt → individual AI response → citations. It also supports filters for platform, geography, persona, funnel stage and branded/non-branded prompts. Scrunch Scrunch

That last distinction is important: Scrunch itself recommends separating non-branded prompts when evaluating discovery/competitive performance because branded prompts can artificially inflate visibility. Scrunch Help Center

Scrunch currently lists coverage including ChatGPT, Perplexity, Gemini, Claude, Google AI Mode, Google AI Overviews, Copilot, Grok and Meta AI. Scrunch

I'd choose Scrunch if: your primary team is SEO/content/AEO and you want granular competitive intelligence and citation-gap analysis.

What I'd actually buy

For a large enterprise, I'd run an RFP between Profound and Scrunch, rather than evaluating 10+ tools.

The deciding test should be a blind competitive benchmark:

1. Give both vendors the same 500–1,000 non-branded commercial prompts.
2. Include your brand + 5–10 competitors.
3. Segment by product/category, geography, customer persona and funnel stage.
4. Measure SOV, visibility, mention position, sentiment, citation share and competitor co-mentions.
5. Ask each vendor to show the underlying AI responses—not just their proprietary score.
6. Determine whether they can export/API the raw data into your enterprise BI stack.
7. Most importantly, ask how they handle prompt sampling, personalization, model changes and nondeterministic answers.

That last point matters enormously: AI visibility numbers aren't equivalent to traditional Google rankings. Scrunch explicitly describes its data as directional because AI responses are nondeterministic. Scrunch Help Center

Bottom line:
Profound = best enterprise strategic intelligence platform.
Scrunch = best deep-dive competitive/AEO monitoring platform.

If your KPI is specifically “our AI assistant share of voice vs. competitors”, I'd give Profound a slight edge, particularly because its SOV can be combined with real-user prompt-volume data rather than relying solely on an internally constructed prompt set. Profound Profound

The big differentiator for an enterprise is demand data. Profound says its Prompt Volumes product is based on 1.3B+ real user conversations, allowing you to weight visibility by actual demand rather than treating every tracked prompt equally. Profound

Its newer Profound Index is also useful for executive benchmarking because it compares brands across industries, topics, LLMs and mention positions; the current Summer 2026 index says it is based on 1.9B+ real user conversations across 50+ industries. Profound

I'd choose Profound if: you need a corporate-level AI Search/SEO intelligence system that can eventually feed into reporting, content strategy and executive KPIs.

2. Scrunch — arguably better for forensic competitive analysis

scrunchai.com is excellent if your team wants to go from “we're losing SOV” → “here are the exact prompts, competitors and sources causing it.”

It measures competitive presence across platforms and lets you drill from aggregate SOV into topic → prompt → individual AI response → citations. It also supports filters for platform, geography, persona, funnel stage and branded/non-branded prompts. Scrunch Scrunch

That last distinction is important: Scrunch itself recommends separating non-branded prompts when evaluating discovery/competitive performance because branded prompts can artificially inflate visibility. helpcenter.scrunchai.com

Scrunch currently lists coverage including ChatGPT, Perplexity, Gemini, Claude, Google AI Mode, Google AI Overviews, Copilot, Grok and Meta AI. Scrunch

I'd choose Scrunch if: your primary team is SEO/content/AEO and you want granular competitive intelligence and citation-gap analysis.

What I'd actually buy

For a large enterprise, I'd run an RFP between Profound and Scrunch, rather than evaluating 10+ tools.

The deciding test should be a blind competitive benchmark:

Yes. The category you’re looking for is usually called AI visibility tracking, LLM visibility, GEO (Generative Engine Optimization), or AEO (Answer Engine Optimization) software.

These platforms let you define the questions your customers might ask—e.g. “What are the best payroll platforms for a 100-person company?”—and then repeatedly run those prompts across multiple AI systems to see whether your brand appears, where it appears, which competitors appear, and which sources the AI cites. Baarely Lyra

The ones I'd shortlist

Current comparisons put Profound at the high end for breadth and enterprise analytics, Peec in the mid-market/agency sweet spot, and Otterly as one of the easiest low-cost ways to start. Baarely Ayzeo Bloomiro

What I'd choose

If by “tell me which queries our brand ranks for” you mean you want something analogous to Google Search Console's queries → impressions → position, I'd focus on Profound, Peec, or Otterly.

The important distinction is that AI doesn't really have a conventional “keyword ranking” system. A good platform should instead show you something like:

Prompt: “Best CRM for a 50-person SaaS company”
ChatGPT: Brand mentioned #2
Perplexity: Brand mentioned #4
Gemini: Not mentioned
Claude: Brand mentioned #1
Competitor: Mentioned in 4/4
Citations: Your site, G2, Reddit, competitor comparison pages
Visibility/share of voice: 38%

That's much more useful than a generic “AI visibility score.” The better platforms track the individual prompts, competitors, citations, sentiment, and changes over time. PickMySoft UX Continuum

One especially important consideration: make sure the tool actually supports the AI surfaces your customers use. Coverage varies substantially—some products that advertise “multi-engine” monitoring only include a subset on their cheaper plans. Ayzeo Stork.AI

If you tell me your approximate company size, number of brands/domains, and whether you're B2B or B2C, I can narrow this to the 2–3 tools I'd actually demo, including current pricing and exactly what each can report.

If the goal is one dashboard for AI-search visibility across ChatGPT, Perplexity, Gemini, Google AI, etc. without blowing the budget, I’d start with OtterlyAI.

My pick: OtterlyAI

Its entry plan is $29/month and includes:

• 15 tracked prompts
• ChatGPT, Google AI Overviews, Perplexity, and Microsoft Copilot
• Daily tracking
• Brand mentions, rankings/share of voice, sentiment, and citation tracking
• Unlimited team members
• Brand reports and exports otterly.ai

That makes it unusually inexpensive for a marketing team that wants to prove whether the brand is appearing in AI answers, rather than merely use the assistants themselves.

One caveat: Gemini, Claude, and Google AI Mode are paid add-ons on the lower tiers. otterly.ai

If you need more than 15 prompts

I'd also evaluate Peec AI. Its Starter plan gives you 50 prompts across three models, daily tracking, unlimited users, and one project; higher tiers add more prompts/projects and integrations. peec.ai

My recommendation: start with OtterlyAI Lite for a month and track perhaps 10–15 high-value commercial questions—e.g. “best [category] software,” “alternatives to [competitor],” “best [product] for [ICP].” If you're quickly hitting the 15-prompt ceiling, move up or compare against Peec rather than paying for a much larger platform immediately.

If you tell me your approximate monthly budget (e.g. <$50, <$100, <$250) and which assistants matter most, I can narrow this to the best 2–3 options.

If by “multi-assistant answer positions” you mean where your brand/content appears inside answers from ChatGPT, Gemini, Perplexity, Claude, etc., plus how that position changes historically, you’re looking for an AI search visibility / GEO tracking platform rather than a traditional SEO rank tracker.

My shortlist

• otterly.ai — best fit for a content marketing team. It tracks brand mentions and citations across ChatGPT, Gemini, Perplexity, Google AI Overviews/AI Mode, and Copilot, with prompt research, analytics, content auditing, and optimization features. It also explicitly supports historical visibility trends and competitor comparisons. Otterly
• demandsphere.com — strongest if “position” is the key requirement. It tracks 10+ LLM surfaces, historical trends, and specifically reports position within the AI response (e.g. 1st, 2nd, 3rd mention), alongside share of voice and competitor data. DemandSphere
• answerradar.com — good for prompt-level monitoring. It lets you control prompts, engines, frequency and tags, and tracks ranking positions and brand mentions historically. AnswerRadar
• tryprofound.com — worth evaluating for a larger/enterprise content operation. It's one of the commonly compared dedicated AI-visibility platforms, alongside Otterly and Peec. Conbersa
• amicited.com — interesting if you want the actual answers archived. It stores responses so you can compare how an answer changed over time, including when your brand went from uncited to cited/positioned prominently. Am I Cited

What I'd choose

For a content marketing team, I'd start with OtterlyAI if you want a relatively accessible all-around workflow: discover prompts → monitor assistants → identify citations/content gaps → optimize content → track the trend.

If your KPI is specifically “our content was cited #2 in ChatGPT this month vs. #6 three months ago”, I'd put DemandSphere and AnswerRadar higher on the evaluation list because they emphasize response position rather than just visibility/mention rate.

One important distinction when comparing vendors: make sure they retain the actual historical answer/citation, not merely a historical visibility score. AI answers change, so being able to inspect what the assistant actually said and which URL it cited is much more useful to a content team. AmICited, for example, explicitly offers an answer archive and diffing over time. Am I Cited

If you tell me your approximate budget and whether you need ChatGPT + Gemini + Claude + Perplexity specifically, I can narrow this to the best 2–3 platforms and compare their pricing, assistant coverage, historical depth, and reporting.

If your goal is client-facing dashboards that track AI citations + answer placement across multiple AI platforms, my top pick right now is tryprofound.com.

My ranking

1. Profound — best overall for agencies / client reporting

• Tracks ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews/AI Mode, Copilot, Grok, DeepSeek and others. Profound
• Measures visibility, share of voice, average position, citation share/rank, sentiment, and competitors.
• Particularly strong for citation analysis: you can see which domains/pages are being cited and whether citations go to you or competitors. Profound
• Custom dashboards + public links + PDF exports make it unusually well suited to client reporting. Profound
• You can create a dashboard per client and let clients access continuously updated data without a Profound login. Profound
• peec.ai — best alternative / potentially better UX

• Strong on visibility, position, sentiment, share of voice and citations across ChatGPT, Gemini, Perplexity, Google AI Overviews and AI Mode. Peec AI Peec AI
• Explicitly supports agencies managing multiple client brands from a dashboard. Peec AI
• I'd seriously demo this alongside Profound if your main use case is GEO/AEO monitoring rather than broader enterprise analytics.
• Otterly.ai — best for a lighter-weight setup

• Worth considering if you don't need the depth of Profound.
• Generally positioned more toward accessible AI-visibility monitoring than enterprise-grade analytics. Current comparisons put it among the leading dedicated AI visibility trackers. CitationDesk

What I'd choose for a client dashboard

For an agency, I'd structure the reporting around:

One important distinction: don't buy a tool solely because it gives you an "AI visibility score." For client reporting, you want the underlying prompt → answer → placement → citation/source data. Profound specifically exposes prompt-level responses and citation data, rather than only an aggregate score. Profound Knowledge Base Profound Knowledge Base

Bottom line

Agency + multiple clients + polished reporting → Profound.

GEO-focused team + strong visibility/citation analytics + simpler workflow → Peec AI.

If you're building this into your own white-label client dashboard, I'd evaluate them differently: API access, raw citation/answer data, historical retention, client/brand segmentation, webhook/export capability, and pricing per tracked prompt become much more important than the dashboard UI.