Neutral mentions of Peec AI

For a small agency managing several clients, I’d prioritize multi-platform coverage, citation-level data, client reporting, and price rather than buying an enterprise GEO platform.

My shortlist

🏆 What I'd pick

Start with OtterlyAI.

The particularly useful part for an agency is that it doesn't just tell you "Client X appeared in ChatGPT." It can show which prompts generated the appearance, where the brand appeared in the answer, which URLs were cited, which competitors were cited instead, and how those metrics change over time. otterly.ai

That's much closer to the reporting clients actually want:

AI visibility: 42% → 57%
Prompts won: 31 → 46
Brand mentions: 18 → 29
Citations: 12 → 24
Competitor citations displaced: 7

It also covers enough of the ecosystem that you're not optimizing specifically for one model: ChatGPT + Perplexity + Gemini + Google AI surfaces + Copilot + Claude. otterly.ai

One important distinction

Don't evaluate these tools primarily on a generic "AI visibility score." I'd want four underlying metrics:

1. Mention rate — does the AI mention the client?
2. Answer position — is the client #1/#2 recommendation or buried?
3. Citation rate — does the AI actually cite the client's site?
4. Citation sources — which third-party sites are getting cited instead?

That fourth one is particularly valuable for an agency because it turns monitoring into an optimization/PR/content strategy: "AI keeps citing these 8 publications when answering questions about our client; let's figure out why." AI-search monitoring is increasingly moving toward this citation/source analysis rather than simple rank tracking. slatehq.com

If you tell me roughly how many clients you manage (e.g. 5, 20, 50+) and your monthly budget ($50 / $200 / $500+), I can narrow this to the best 2–3 and compare their current agency pricing/features.

If your main goal is tracking and comparing brand visibility in AI answer engines over time, I’d shortlist these:

• otterly.ai — probably the easiest starting point. It tracks mentions/citations across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude, with historical trends, competitor share-of-voice, and prompt-level reporting. Otterly
• Peec AI — a good fit for an in-house SEO/content team that wants analytics, competitor benchmarking and recurring monitoring. Current comparisons put its entry plans around the mid-market range. Geohats Marqeable
• tryprofound.com — aimed more at larger/enterprise brands, particularly if you need broad answer-engine coverage and deeper reporting. Baarely Geohats
• Ahrefs Brand Radar — worth considering if you're already an Ahrefs customer and want AI visibility incorporated into your existing SEO workflow rather than buying a dedicated platform. BusinessMCP

What I'd measure

Don't just track “mentions.” For each fixed prompt set, I'd want:

• Visibility rate — % of relevant answers where your brand appears
• Share of voice — your appearances versus named competitors
• Citation rate — how often your site/domain is actually cited
• Position/prominence — where you appear in the answer
• Sentiment/framing — how the AI describes you
• Engine-by-engine trends — ChatGPT vs. Perplexity vs. Gemini vs. Google AI surfaces
• Competitor displacement — which competitors appear when you don't
• Source domains — which third-party sites are causing AI engines to mention competitors
• Historical data — ideally daily/weekly measurements using the same prompt set

Those distinctions matter because an AI visibility tracker is essentially running a controlled set of prompts against answer engines and recording mentions, citations and competitors over time. Roberto Serra Otterly

For most brand teams, I'd start by trialing Otterly and Peec side-by-side for 2–4 weeks using exactly the same 50–100 prompts. Compare the underlying observations, not just each platform's proprietary “visibility score.” Different tools can measure and sample AI answers differently, so their headline scores aren't necessarily directly comparable.

If you tell me roughly your company size, number of brands/products, and which AI engines matter most, I can narrow this to 2–3 tools and compare pricing, engine coverage, API access, competitor tracking, historical reporting, and prompt limits.

If you mean enterprise-grade tracking of how often your brand appears in ChatGPT/Gemini/Claude/Perplexity/etc., with competitor share-of-voice, citations, prompts, and historical benchmarking, I’d put Profound at the top of the enterprise shortlist.

Current 2026 comparisons consistently position Profound toward enterprise use, while Peec AI and Otterly are generally positioned as lighter/mid-market alternatives. Refine AI Bloomiro Mentn

How I’d shortlist them

Profound's enterprise tier reportedly supports substantially broader engine coverage than its self-serve tiers, including ChatGPT, Perplexity, Gemini, AI Overviews/AI Mode, Copilot, Meta AI, Grok, DeepSeek and Claude. Baarely

The important distinction

For an enterprise, I wouldn't select based simply on "number of AI engines tracked." The more important question is whether the platform gives you a defensible AI Share of Voice (SOV) methodology.

I'd want these metrics:

• Mention rate: % of tracked prompts where your brand appears
• Share of voice: your mentions relative to defined competitors
• Position/share of recommendations: whether you're first/second/etc. when assistants recommend multiple vendors
• Citation share: % of citations attributable to your domains
• Competitor displacement: prompts where competitors appear but you don't
• Prompt-level visibility: visibility by product, use case, industry, geography and funnel stage
• Sentiment/attribute association: what assistants actually say about each brand
• Source/citation analysis: which publishers and pages influence the answers
• Model-by-model variance: because ChatGPT visibility can differ substantially from Gemini, Claude, Perplexity, etc.
• Historical trends: SOV before/after content, PR, SEO or product changes
• Enterprise controls: users, permissions, reporting, APIs, exports and governance

That matters because two vendors can report different "visibility" percentages simply because they use different prompt sets, sampling, weighting and definitions of a mention.

My practical recommendation

For a Fortune 1000 / large B2B enterprise, I'd run a bake-off between:

1. Profound — benchmark for enterprise-grade AI visibility intelligence.
2. Peec AI — compare its analytics and SOV methodology against Profound.
3. AthenaHQ or Scrunch — evaluate if you want more than measurement and care about the optimization/action layer.

Don't buy based on a vendor demo showing a pretty SOV chart. Give each vendor the same 100–500 commercially important prompts, 5–10 competitors, your key geographies, and the same measurement period, then compare the raw answer-level data.

One especially important point: "AI visibility" isn't yet a standardized industry metric. Current tools broadly track mentions/citations and competitor comparisons, but their methodologies differ. Refine AI NeuralGen

If you tell me your industry, approximate number of brands/products, geographies, and whether this is for SEO, brand, competitive intelligence, or executive reporting, I can build you a Profound vs Peec vs Otterly vs AthenaHQ enterprise scorecard with the exact capabilities I'd test in an RFP.

Yes — this category is usually called AI visibility / AEO / GEO tracking. Good options include:

• otterly.ai — tracks prompts across ChatGPT, Perplexity, Gemini, Claude, Copilot and Google AI experiences, including mentions, position, competitors and citations. Otterly Otterly
• ahrefs.com — particularly interesting if you already use Ahrefs; its database is based on hundreds of millions of real/search-derived prompts. Ahrefs
• tryprofound.com — enterprise-oriented AI visibility monitoring.
• peec.ai — focused on tracking brand visibility and competitive positioning across AI search. Conbersa
• modelmention.io — simpler monitoring of visibility, position, share of voice and citations across ChatGPT, Gemini and Perplexity. ModelMention

If your specific goal is “give me the thousands of questions people ask in our category, then tell me whether our brand appears and where it ranks in each AI answer,” I’d narrow the shortlist to Otterly, Ahrefs, Peec, and Profound.

Yes. What you’re looking for is generally called AI search visibility tracking, GEO (Generative Engine Optimization) tracking, or an AI visibility platform. These tools repeatedly run a set of conversational queries across multiple AI systems and measure whether—and where—your brand appears.

My shortlist

1. OtterlyAI — probably the closest match

OtterlyAI lets you create a library of natural-language prompts such as:

• "What are the best accounting platforms for startups?"
• "What companies offer enterprise expense management?"
• "What's the best alternative to [competitor]?"
• "Which brands should I consider for [product category]?"

It then runs those prompts across multiple AI search experiences and reports which brands appear, their position, sentiment, citations and share of voice. It currently supports ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Copilot and Claude. Otterly Otterly AI

It also has prompt research, so you aren't limited to manually inventing the questions you want to track. Otterly

One particularly useful feature is that you can see the actual sources/citations influencing the AI answer, rather than merely seeing that your brand ranked. Otterly

2. Peec AI — particularly interesting if you want lots of models

Peec AI tracks visibility, position, sentiment and share of voice across major AI search platforms. It also shows which sources are being cited for your tracked prompts. Peec AI

Its model coverage is unusually broad: in addition to ChatGPT, Gemini, Perplexity, Google AI experiences and Copilot, it says higher tiers can monitor models/APIs including Claude, DeepSeek, Qwen, Grok and Mistral. Peec AI

The important distinction

These aren't really measuring a conventional "keyword ranking" like Ahrefs or Semrush would measure Google rankings.

For AI, I'd build your reporting around:

Query → AI engine → Brand mentioned? → Position → Competitors mentioned → Sentiment → Citations → Share of voice

For example:

"Best CRM for a 50-person SaaS company"

That's much closer to what I'd call "which queries does our brand rank for in AI?"

If you're choosing one today, I'd start with OtterlyAI because it has particularly strong prompt-level tracking across the major AI search experiences and explicitly exposes rank, citations, competitors and trends. Peec is the one I'd evaluate alongside it if breadth of model coverage and deeper analytics are especially important. Otterly Peec AI

If you tell me your company/industry and roughly how many queries you want to monitor (e.g. 100, 1,000, 10,000+), I can also compare the leading platforms on price, query limits, API access, historical data, competitor tracking, and agency/multi-brand support.

If your main requirement is one dashboard for AI-answer visibility across multiple assistants without an enterprise budget, I’d start with Otterly.AI.

• Otterly.AI — published pricing starts at $29/month, with the entry plan covering 15 tracked prompts across four engines. Higher tiers add more prompts, and Claude/Gemini/Google AI Mode are available as add-ons. BusinessMCP Marqeable
• Peec AI — worth considering if you need more sophisticated competitive/SEO analysis. Its self-serve plans cover multiple engines, but pricing and engine limits make it less straightforward for a very tight budget. BusinessMCP AI Search Tools
• Profound — much more oriented toward larger organizations. Its entry pricing is higher and the cheapest tier has limited engine coverage, so I'd only investigate it if you have substantially more budget. BusinessMCP

What I'd do on a tight budget

Start with Otterly for 1–2 months, using a carefully selected prompt set rather than trying to track hundreds of questions. Track things like:

• Your highest-value commercial queries
• Category/problem queries where you want to be recommended
• Competitor-comparison queries
• Your brand-name queries
• Which URLs and competitors AI assistants cite

That gives the marketing team a useful baseline of mentions, citations, competitors, and visibility trends without committing to a large platform.

One caveat: these products are measuring sampled AI responses, so treat the numbers as trend/monitoring data rather than an exact measurement of everything ChatGPT, Gemini, etc. say about you. authority.magnitude.cc

If you tell me your monthly budget (e.g. <$50, $100, $250) and which assistants matter most (ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews/Mode), I can narrow it down to 2–3 options and compare the actual limits.

If you mean “alert me when our website/content gets cited as a source inside AI-generated answers”, rather than simply when your brand is mentioned, there are several dedicated AI visibility / GEO monitoring tools.

The strongest options

• tryprofound.com — particularly focused on AI citations. It tracks when ChatGPT, Perplexity, Google AI Overviews and other answer engines cite your content, and lets you analyze citation share by platform, topic and prompt. Profound
• peec.ai — tracks both brand mentions and source citations, including which specific URLs are cited. It covers ChatGPT, Gemini, Perplexity, Google AI Overviews/AI Mode and Copilot, with additional models available on higher tiers. Peec AI Peec AI
• otterly.ai — monitors citations and mentions across ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Copilot and Claude. Its prompt-level reporting has a dedicated Citations view showing the URLs used as sources. Otterly Otterly AI

One important distinction

There are actually two different things you might want to monitor:

1. “Did an AI assistant mention our company?”

→ Brand/visibility monitoring.

2. “Did an AI assistant actually cite one of our articles/pages as a source?”

→ Citation/source monitoring.

For your question, #2 is the more precise requirement. Peec explicitly distinguishes a brand mention from a source citation, and Profound is particularly centered around citation intelligence. Profound Peec AI

If you're looking for real-time or near-real-time alerts specifically when a new URL from your domain gets cited, that's a slightly narrower requirement than the usual daily AI-visibility tracking. I can compare Profound vs. Peec vs. Otterly vs. other tools specifically on alerting, citation detection, AI engines covered, pricing, and API/Slack integration.

Yes. The category is usually called AI visibility / GEO tracking.

• peec.ai — tracks mentions and citations across ChatGPT, Claude, Perplexity, Gemini, Google AI, and Copilot, including specific URLs/pages being cited. It also supports agency/client reporting. Peec AI Peec AI
• citations.io — simpler option aimed at tracking ChatGPT, Claude, Gemini and Perplexity, with pricing starting around $39/month. Citations.io
• sightivo.com — specifically tracks which pages get cited and mention rates by assistant. Sightivo

For a freelancer managing multiple client websites, Peec looks particularly relevant because it supports separate projects, client reporting, and daily tracking. Peec AI

If your goal is client-facing reporting of AI citations + answer placement across multiple assistants, I’d shortlist these:

The category has matured quite a bit in 2026. Current platforms commonly monitor ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews/AI Mode and sometimes Copilot/Grok, rather than treating "AI visibility" as one generic metric. Promptwatch Airefs

What I'd prioritize for your use case

If you're an agency producing recurring client dashboards, don't optimize primarily for a single "AI visibility score." I'd want the platform to expose the underlying evidence:

• Prompt → exact AI answer
• Whether the client was mentioned
• Whether the client's URL/domain was cited
• Citation position/order
• Which competitor was cited instead
• Share of voice against competitors
• Results broken down by AI platform
• Historical changes
• Exact cited URLs/pages
• Export/API capability
• White-label or client portal/reporting
• Ability to maintain a fixed prompt set, so month-over-month numbers are meaningful

That distinction matters because a brand can be mentioned frequently but still have weak citation presence or consistently appear below competitors. Some newer dashboards explicitly separate mention rate, citation rate, citation share and average position. SynectGEO DeepSmith

My practical shortlist

For an agency: I'd investigate Goodie + Profound + Promptwatch first.

For a serious enterprise GEO program: Profound / AthenaHQ / Promptwatch.

For a leaner operation: Otterly.AI / Peec AI.

One particularly important capability is real-answer capture rather than relying solely on API-generated responses. Promptwatch, for example, says it captures the actual interfaces and citation ordering, while other platforms similarly emphasize storing the underlying answer behind each metric. Promptwatch DeepSmith

If you tell me how many clients you manage (e.g. 10, 50, 200+) and whether you need white-label dashboards, I can narrow this to the best 2–3 options and compare pricing, platforms, API/export, client reporting, and citation-position tracking.

If your goal is client-facing reporting of AI assistant visibility—especially citations, answer placement, competitors, and trends across multiple platforms—I’d shortlist these:

• tryprofound.com — strongest fit for enterprise-grade citation/answer intelligence. It’s designed around deep source-level citation tracking, prompt monitoring, competitive visibility, and reporting. Current comparisons consistently put it toward the enterprise end of the market. Bloomiro UX Continuum
• peec.ai — particularly attractive for agencies/mid-market teams managing multiple brands. It focuses on prompt-level AI visibility, competitors, and multi-language tracking without the enterprise-heavy positioning of Profound. Bloomiro Toolsolved
• otterly.ai — good if you mainly need recurring visibility reporting at lower cost. Its API/reporting depth is more limited, but it's comparatively accessible for agency workflows. UX Continuum Toolsolved
• promptwatch.com — worth a close look if actual prompt/answer/citation data needs to feed your own client dashboard. Its reported API exposes prompt-level performance and page-level citation data, which is useful if you're building a reporting layer rather than just consuming a SaaS dashboard. Toolsolved
• scrunch.com — interesting if you want visibility monitoring plus an "agent experience" layer, including AI crawler activity, rather than just answer monitoring. Baarely

For your specific use case

I'd evaluate them in this order by capability rather than an overall "best" ranking:

The important distinction: don't buy a tool merely because it gives you an "AI visibility score." For client reporting, I'd want the underlying record to look roughly like:

client → prompt → AI platform/model → answer → brand mention → position → cited URL → competitor mentions → timestamp

That lets you produce much more defensible reports such as "Brand was mentioned in 43% of tracked answers, appeared in position 2.1 on average, and was cited from 17 distinct URLs" rather than a proprietary visibility score.

If you're building this into a SaaS/client dashboard yourself, I'd lean toward an API-first platform such as Promptwatch or Profound, rather than a tool whose primary value is its own dashboard. Current comparisons specifically identify API depth and page-level citation data as major differentiators. Toolsolved

If you tell me how many clients, approximate prompts/client, and which assistants you need (ChatGPT, Claude, Gemini, Perplexity, Copilot, Google AI Overviews/Mode, etc.), I can narrow this to a practical stack and estimate the likely monthly cost.

Yes. What you’re describing is usually called AI search visibility / AEO (answer-engine optimization) tracking: monitor the prompts people ask, see which brands rank or get recommended, and—critically—identify the exact URLs/pages that AI assistants cite.

My first pick: OtterlyAI

OtterlyAI is particularly close to your use case. It tracks prompts across ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Copilot, and Claude, and its citation tracking identifies the URLs cited in answers. Otterly Otterly

otterly.ai

For your product catalog, I’d structure it roughly like:

• Prompt: “best project management software for a 50-person agency”
• Assistant: ChatGPT
• Your brand: mentioned / not mentioned
• AI position: #1, #2, etc.
• Cited URL: /products/enterprise-plan
• Competitors cited: X, Y, Z
• Citation frequency: how often that product page is being used
• Change over time: whether that URL is gaining or losing citations

Otterly specifically says it tracks every cited URL and lets you see which of your pages AI engines actually link to. Otterly

Other tools worth evaluating

• Profound — stronger candidate if you're an enterprise SEO/content team and want deeper AI-search reporting and citation intelligence.
• AirPulse — interesting if the page-level mapping is the central requirement; it explicitly shows which URLs are cited, by which engine, and citation position, including gained/lost citations. AirPulse
• Sightivo — another page-level option that reports which pages get cited per assistant and which competitors are recommended instead. Sightivo
• Scrunch / Peec AI — worth putting on an enterprise AEO-tool shortlist alongside Otterly and Profound. Bloomiro

If your key question is “which of our 500 product pages are actually becoming sources for ChatGPT/Perplexity/Gemini/etc.?” I would prioritize tools with URL-level citation data rather than ones that only give you a generic AI visibility score.

One particularly useful feature for your use case is Otterly's API/MCP access: its data includes citations, URLs, prompts, and raw AI response runs, so you could potentially build a product-page × AI-assistant × prompt matrix in your own BI system. Otterly