Answers that mention Peec AI

For a small agency monitoring multiple clients, I’d shortlist these rather than buying a heavyweight enterprise platform.

Current 2026 comparisons put Otterly's entry point around $29/month, while Peec starts around the $85–95/month range depending on plan/currency; pricing and included engine/prompt limits change, so I'd verify the live plans before purchasing. Omnicite AEO Labs GeoHats

What I'd look for specifically

For an agency, don't settle for a tool that merely says "your brand was mentioned." You want it to distinguish:

• Mention — the AI says your client's name.
• Citation — the AI actually references a client's URL/source.
• Citation position — which sources are being cited and where.
• Competitor visibility — who gets cited instead.
• Prompt-level history — whether visibility is improving for the same buyer questions over time.
• Multiple clients/workspaces — essential for agency use.
• Exports/reporting — ideally something you can put into client reports.
• Multiple AI engines — because results can differ substantially between ChatGPT, Perplexity, Gemini, AI Overviews, etc.

Otterly, for example, says it stores the underlying answers and tracks mentions, citation URLs, competitor position and share of voice across seven AI search experiences. It also advertises multiple workspaces, CSV export, API/MCP access and Looker Studio connectivity. Otterly Otterly

My practical shortlist

If you're starting from scratch: I'd trial Otterly + Peec with the same 20–50 prompts for 2–3 clients. Compare how they report citations, competitors, historical changes and client reporting before committing.

If you're already paying for Semrush: investigate its AI Visibility functionality before adding another subscription; having traditional SEO and AI visibility in one workflow can be valuable for an agency. Austin Heaton

If you're managing a much larger portfolio: Profound becomes more relevant because its positioning and feature set are aimed more toward enterprise-scale AI-search analytics. Omnicite Authoricy

One important caveat: don't compare the headline "AI visibility score" between vendors. Different platforms can query/sample AI answers differently, so two tools can legitimately produce different numbers for the same brand and prompt set. Austin Heaton

If you tell me roughly how many clients, how many prompts per client, and whether you need white-label client reports, I can narrow this to the most economical setup for your agency.

For a small agency managing multiple clients, I’d focus less on a generic “AI rank tracker” and more on whether it gives you prompt-level rankings + exact citations + competitor comparisons + client reporting.

My shortlist

Current comparisons specifically identify OtterlyAI as a strong fit for marketing teams/agencies, while Profound is positioned more toward enterprise-scale AI search intelligence. TechnologyAdvice Backtier

What I'd choose for a small agency

Start with OtterlyAI if your primary job is:

• “Where does my client's brand appear when customers ask AI?”
• Track the same 50–200 prompts over time.
• See which position the client occupies in answers.
• See which URLs AI cites.
• Compare client vs. competitors.
• Monitor several AI engines from one dashboard.

Otterly explicitly tracks mentions, citation URLs, ordering, sentiment and competitor performance across seven AI engines, which is unusually close to the workflow you're describing. Otterly

Its published pricing is also relatively approachable for an agency: $25/month Lite, $160/month Standard, and $422/month Premium when billed annually (with higher monthly equivalents). TechnologyAdvice

AgencyAnalytics is particularly interesting if you already use it for client reporting. Its AI Tracker puts AI visibility alongside SEO, PPC and other marketing metrics, and supports client-ready reporting across ChatGPT, Gemini, Claude, Perplexity and Google's AI surfaces. AgencyAnalytics

SERPs is worth a look if traditional SEO rank tracking is important too. Its AI visibility product keeps conventional rankings and AI citations in the same project and currently supports ChatGPT, Claude, Gemini, Grok and Perplexity. SERPs

One thing I'd insist on

Don't buy a tool just because it reports an “AI visibility score.” You want the underlying evidence:

Prompt → engine → answer → brand position → cited URL → competitors cited → date

That's much more actionable than a single 72% visibility number. AI answers are nondeterministic, so trends across repeated prompts are more meaningful than one-off checks. Backtier Foglift

If you tell me roughly how many clients you manage (e.g. 5, 20, 50), how many prompts per client, and whether you already use Semrush/Ahrefs/AgencyAnalytics, I can narrow this down to the 2–3 tools and estimate your monthly cost.

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.

I’d shortlist Profound for an enterprise brand team. It tracks visibility, mentions, citations, competitors, and prompt-level results across multiple AI answer engines, making it suitable for measuring change over time rather than doing one-off checks. TechnologyAdvice Citation Hawk

Other options:

• Peec AI — strong dashboarding and competitive gap analysis. The Rank Masters
• OtterlyAI — lower-cost, prompt-based monitoring. The Rank Masters
• Ahrefs Brand Radar — useful if you're already using Ahrefs for SEO. TechnologyAdvice
• Semrush AI Visibility Toolkit — good if you want AI visibility integrated with an existing SEO workflow. Semrush

For your use case, I’d specifically compare Profound vs. Peec AI vs. Ahrefs Brand Radar based on engine coverage, prompt volume, competitor share-of-voice, citation tracking, and historical reporting.

Yes — the category you’re looking for is generally called AI visibility / LLM visibility / GEO tracking. These tools monitor how your content, brand, and competitors appear inside AI-generated answers, including mentions, citations, position/order, and share of voice. TechnologyAdvice KITLabs

Strong options

• otterly.ai — Tracks ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot, and Claude. It records mentions, citations, sentiment, share of voice, and average rank/order, including which URLs are being cited. Otterly
• ahrefs.com — Particularly interesting if you already use Ahrefs. Its AI Visibility Index analyzes hundreds of millions of prompts and measures AI mentions/citations and competitive visibility. Ahrefs
• tryprofound.com — More enterprise-oriented, with AI-answer monitoring, citation analysis, prompt volumes, competitor visibility, sentiment, and agent analytics. TechnologyAdvice
• peec.ai — Focused specifically on AI-search visibility and tracking prompts/competitors across LLMs. Locafy
• scrunchai.com — Useful if you care about which content gets cited, AI crawler activity, and competitor benchmarking in addition to prompt tracking. TechnologyAdvice
• rank.ai — More lightweight/self-serve. It tracks daily prompt results across ChatGPT, Claude, Gemini, Perplexity, Grok, DeepSeek and Google AI Overviews, including mention/citation rate and share of voice. Rank.ai

The metrics you probably want

If by "relative rank" you mean "when someone asks an AI assistant about our category, where does our content/brand appear relative to competitors?", I'd specifically look for:

One important caveat: AI "rank" isn't equivalent to Google position. AI responses are stochastic and can change between runs, so the better platforms repeatedly run the same prompts and report trends rather than treating one response as a definitive ranking. BackTier Rank.ai

If your core question is specifically "Which of our articles/content is getting used by AI assistants, and how does that compare with competitors?" I'd shortlist OtterlyAI, Profound, Ahrefs Brand Radar, and Scrunch first. Otterly in particular explicitly tracks the cited URL and which competitor was cited instead. Otterly

If you tell me whether you're B2B SaaS, publisher/media, ecommerce, or an agency, I can narrow this down to the 2–3 tools whose data model best matches what you're trying to measure.

Yes — the category you’re looking for is generally called AI search visibility / GEO (Generative Engine Optimization) tracking.

These platforms monitor questions across AI assistants, record whether your content/brand is mentioned or cited, identify which URLs the assistants use, and calculate things like position/rank, share of voice, and competitor visibility. TechnologyAdvice Austin Heaton

Main options

• Profound — Enterprise-oriented. Tracks AI answers, citations, competitors, sentiment and visibility across multiple AI surfaces; it also has prompt-volume and agent analytics. TechnologyAdvice Baarely
• OtterlyAI — Particularly close to your description. It tracks mentions, citations, average rank, share of voice, sentiment and the actual URLs cited across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude. Otterly Otterly.ai
• Peec AI — Focuses on AI visibility analytics, competitor comparisons and prompt tracking; commonly positioned toward agencies and mid-market teams. Baarely Bloomiro
• Scrunch AI — Tracks prompts, citations, competitors and AI traffic, with additional tooling around content intended for AI agents. TechnologyAdvice Bloomiro
• Ahrefs Brand Radar — Useful if you're already using Ahrefs; adds AI visibility, mentions, citations and competitor benchmarking to traditional SEO data. TechnologyAdvice
• Semrush AI Visibility — Similar hybrid approach if you want conventional SEO plus AI-search visibility/rank tracking. TechnologyAdvice CBOOMARANK

The metrics I'd specifically look for

If your goal is "Where is our content being used by AI, and how do we compare with competitors?", don't settle for a simple "AI visibility score." Look for:

One important distinction: "mentioned" and "cited" are not the same thing. A model can recommend your company without linking to your site, or cite one of your pages without prominently mentioning your brand. Good platforms expose those separately. Austin Heaton

For your particular wording, I'd start by looking closely at OtterlyAI and Profound, then compare Peec and Scrunch if you're evaluating several vendors. Otterly explicitly reports average rank + citations + share of voice + competitor comparisons, which maps unusually closely to what you described. Otterly

If you tell me whether you're tracking a B2B company's website, a media/content publisher, or an agency managing multiple clients, I can narrow this to the 2–3 tools that fit that use case and compare their pricing, AI engines, API/export capabilities, and rank methodology.

If your goal is specifically enterprise AI-assistant visibility + competitive share of voice, I’d shortlist Profound, Peec AI, and Otterly.AI, with Profound the most enterprise-oriented option.

Recent 2026 comparisons consistently put these three in the core shortlist, while distinguishing Profound for enterprise depth and Peec for competitive analytics. Geohats Benchline Reports

My take for an enterprise

Start with Profound if you're trying to build an executive-grade measurement system rather than simply monitor mentions. Its differentiation is the depth around prompts, citations, sources, competitors, and broader AI-surface coverage. Current comparisons report enterprise support for substantially more AI surfaces than the lower tiers. Geohats Tomek Sikora

Consider Peec AI alongside it if the primary KPI is competitive share of voice. One 2026 benchmark specifically found Peec strongest on competitive benchmarking, while Profound scored higher on overall AI-surface coverage and citation analysis. Benchline Reports

I wouldn't choose based on a vendor's headline "AI visibility score." For an enterprise, I'd insist on being able to export/analyze at least:

• Mention/share of voice: % of relevant prompts where your brand appears
• Position/share of recommendations: where you appear relative to competitors
• Citation share: which domains/content sources AI systems rely on
• Competitor displacement: which competitors appear when you don't
• Prompt-level results: category × use case × geography × audience
• Engine/model segmentation: ChatGPT, Gemini, Perplexity, Claude, Google AI surfaces, etc.
• Sentiment/claim accuracy: whether the assistant describes your company correctly
• Trend data: daily/weekly/monthly movement rather than isolated snapshots
• Source influence: which publications, reviews, Reddit discussions, directories, etc. are feeding the answers

That's important because AI answers are stochastic: different prompt sets, geography, account state, and model versions can produce materially different visibility measurements. Independent testing has also found that competing trackers don't necessarily produce identical citation counts for the same brand/day. Design Copy

If you're buying for a Fortune 100/large B2B organization

I'd run a 2–4 week bake-off between Profound and Peec AI using your actual 100–500 highest-value buyer prompts and 5–10 competitors. Don't compare their demo dashboards; compare the underlying data:

AI Share of Voice = your brand mentions / total brand mentions across the competitive set

Then segment that by intent, product, geography, model, and buyer journey stage.

That will tell you much more than a generic "visibility score."

If you tell me your industry (e.g. SaaS, financial services, healthcare, retail), approximate number of brands/products, and which AI assistants matter, I can build you a vendor scorecard + RFP requirements + KPI framework for Profound vs. Peec vs. the other serious enterprise options.

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.

For a budget-conscious marketing team, I’d start with otterly.ai.

Why it fits:

• $29/month entry plan, with 15 tracked prompts.
• Tracks ChatGPT, Google AI Overviews, Perplexity, and Microsoft Copilot on every plan. Claude, Gemini, and Google AI Mode are available as add-ons. Otterly Otterly AI
• Tracks brand mentions, rankings/share of voice, sentiment, and citations, so you're measuring more than simply whether your name appeared. Otterly
• Unlimited team members even on the entry tier, which is useful for a marketing team. Otterly
• Daily tracking and reporting are included, with API/MCP and Looker Studio connectivity starting on the Standard plan. Otterly Otterly

How I'd choose

Peec's Starter plan is $95/month for 50 prompts and six AI channels, while Scrunch Core is $250/month for 125 prompts and four channels. Peec AI Scrunch

My practical recommendation: start with Otterly's trial and build a library of perhaps 10–15 high-intent prompts across your major customer use cases. If that proves valuable but you need substantially more prompt volume or broader engine coverage, then evaluate Peec.

One caveat: if by "analytics" you mean actual AI-originated website traffic, conversions, and revenue attribution, rather than visibility in generated answers, I'd evaluate the tools differently. Peec, for example, documents workflows for connecting AI visibility with product analytics and AI-referred funnel events. Peec AI

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 you mean tracking where your brand/content appears inside answers from ChatGPT, Gemini, Perplexity, Claude, etc., and then charting that position historically, you’re looking for an AI visibility / GEO (Generative Engine Optimization) platform.

My shortlist

• Profound — probably the strongest choice for a serious content-marketing team. It tracks AI answers, citations, competitors and visibility over time; independent 2026 testing rated it highly for citation-data depth. LLM Visibility Tools LLM Visibility Tools
• Peec AI — a good choice if your primary KPI is visibility + position + competitive movement across multiple AI engines. It is particularly focused on GEO reporting for marketing teams. Pinggy
• Otterly.AI — worth considering if you want a more accessible/less enterprise-heavy tracker. It monitors multiple AI engines and provides historical visibility/competitor reporting. Marqeable
• DeepSmith — interesting if you want the tracking tied closely to content strategy. It tracks ChatGPT, Gemini, Perplexity, Claude and Google AI Mode, with 7/30/90-day trends, citations and competitors. DeepSmith
• Centium — especially interesting for your wording of “answer positions.” It explicitly measures the order in which brands appear in AI answers and gives a position-frequency distribution rather than just a visibility score, with historical drift. Centium

What I'd pick

For a content marketing team, I'd start with Profound vs. Peec AI.

If by “position” you literally mean “we're #2 in the AI-generated answer this month, were #5 last month, and our competitor moved from #1 to #3”, I'd also put Centium on the evaluation list because that is unusually explicit about answer-order tracking. Centium

One important distinction: don't evaluate these tools solely on a generic “AI visibility score.” You ideally want prompt-level historical answers, position, mention rate, citation/source URLs, competitor position, engine/model, and change over time. Otherwise it's difficult for a content team to connect an article or content campaign to an actual improvement in AI visibility.

If you tell me your team size and approximate monthly budget, I can narrow this to the best 2–3 platforms and compare pricing, engines, historical tracking, API/reporting, and content recommendations.

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.

You’re looking for an AEO/GEO (answer-engine optimization) visibility platform.

• Profound — enterprise-focused; tracks AI visibility, citations, prompts, competitors, and AI crawler activity. xSeek Lectern
• Peec AI — useful for prompt-level monitoring, citations, competitors, and benchmarking across AI engines. Conbersa
• Otterly.AI — simpler monitoring of prompts, mentions, and citations; useful for mapping which pages get surfaced. Otterly

For your specific requirement—“which of our product URLs are being cited by which AI assistants for which queries?”—I'd evaluate Profound and Peec first, making sure the demo shows page-level citation/source data, not merely a brand visibility score. austinheaton.com

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