ChatGPT answers, unedited

If your main KPI is “How often does our product get mentioned/recommended in AI answers versus competitors?”, you’re looking for an AI visibility / GEO tracking platform rather than a traditional SEO rank tracker.

My shortlist

• peec.ai — strongest fit for your exact use case. It tracks visibility, mention frequency, position, sentiment, and share of voice, with competitor comparisons across AI engines. It also lets you build a prompt set around the queries that matter to your product. Peec AI Peec AI
• otterly.ai — strong dedicated monitoring option. It tracks your brand and named competitors across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot, and Claude, including mentions, share of voice, sentiment, and citations. Otterly
• semrush.com — best if you already use an SEO/content stack. Its AI visibility capabilities are integrated with broader SEO and content workflows, so you can connect AI visibility with conventional search data. Semrush
• Profound — worth considering for a larger enterprise marketing/SEO operation. It is consistently included among the major enterprise-oriented AI-search monitoring platforms in current 2026 comparisons. TechnologyAdvice Refine AI

What I would measure

For your use case, I'd set up a dashboard around:

The important distinction is mention frequency vs. share of voice. For example, if your product appears in 40% of answers and a competitor appears in 50%, that's more informative than simply tracking whether you appeared at all. Peec and Otterly both explicitly support this kind of competitive measurement. Otterly Peec AI

If I were evaluating only these tools for your stated requirement, I'd start demos with Peec AI and OtterlyAI, then compare them against Semrush if you already have a Semrush subscription.

If you tell me B2B/B2C, approximate number of products, and whether you care mostly about ChatGPT or all AI search engines, I can narrow this to the most appropriate 2–3 and compare pricing/features.

If your main KPI is “How often does our product get mentioned/recommended in AI answers versus competitors?”, you’re looking for an AI visibility / AEO (answer-engine optimization) tracker.

The strongest shortlist I’d evaluate is:

• Profound — strongest fit for larger companies that want deep competitive and citation analytics across many AI surfaces. It tracks brand mentions, competitor visibility, prompts, and source citations. TechnologyAdvice Marqeable
• Peec AI — good middle ground if you primarily want clean share-of-voice, mention, citation, and competitor reporting without an enterprise-heavy setup. Marqeable MentionsAPI
• Otterly.AI — worth considering if you want to start relatively inexpensively and monitor multiple AI engines. Current comparisons put entry pricing around $29/month, with higher tiers for more prompts/coverage. Marqeable
• Semrush AI Visibility / AI Toolkit — particularly attractive if you're already a Semrush customer and want AI visibility alongside conventional SEO, rather than buying a separate platform. Semrush
• Ahrefs Brand Radar — another option if Ahrefs is already part of your stack; it adds AI-visibility measurement to traditional SEO research. TechnologyAdvice

What I'd measure

Don't just buy the tool with the biggest "visibility score." Make sure it exposes the underlying measurements:

That distinction matters: being mentioned isn't the same as being recommended, and being recommended isn't the same as being cited. Austin Heaton

My practical recommendation

If you're a mid-market product/marketing team, I'd put Peec + Otterly + Semrush through a trial using the exact same 50–100 buyer prompts and compare their raw answers.

If you're enterprise, I'd include Profound in that bake-off.

The most important test isn't which dashboard looks best. Run identical prompts such as:

• “Best [product category] for [use case]”
• “[Competitor] alternatives”
• “[Your product] vs [competitor]”
• “What software should a [buyer persona] use for [job]?”
• “Best products for [high-intent problem]”

Then calculate:

Your share of voice = your appearances ÷ total brand appearances across the tracked answers

That gives you a much more useful competitive KPI than a vendor-specific “AI visibility score.” Marqeable Austin Heaton

If you tell me your product category, roughly how many competitors you want to track, and whether you're B2B or B2C, I can narrow this to 2–3 tools and compare their current pricing, AI engines, prompt limits, competitor tracking, API/reporting, and strengths/weaknesses.

If your core question is “How often does our product get mentioned/recommended/cited in AI answers vs. competitors?”, you’re looking for an AI search visibility / AEO / GEO monitoring platform. These tools run a fixed set of buyer prompts across AI engines and measure mentions, citations, competitor presence, and share of voice. SaaSworthy TechnologyAdvice

The shortlist I'd investigate

• tryprofound.com — Strong fit for larger companies. It focuses heavily on enterprise AI-search analytics, prompt tracking, competitor benchmarking, and source/citation intelligence. Geohats SEO Counselors
• peec.ai — Good middle ground for marketing/SEO teams wanting ongoing tracking of brand visibility, competitors, prompts and citations without going immediately to an enterprise platform. Geohats Conbersa
• otterly.ai — Worth looking at if you primarily need straightforward, relatively inexpensive monitoring across multiple AI search engines. Geohats TechnologyAdvice
• semrush.com — Particularly logical if your team already uses Semrush, since its AI Toolkit adds AI-visibility tracking alongside traditional SEO data. SaaSworthy
• ahrefs.com — Its Brand Radar is interesting if you want AI visibility alongside your existing SEO/brand research workflow. SaaSworthy
• scrunchai.com — Another option centered specifically on generative-engine optimization and monitoring. SaaSworthy TechnologyAdvice

What I'd measure

Don't settle for a single “AI visibility score.” The useful dashboard should separately show:

That distinction between being mentioned and being cited is particularly important: a product can have high mention visibility while generating relatively little attributable traffic because the AI isn't using its site as a source. Austin Heaton

For your specific use case, I'd demo Profound, Peec AI, and Otterly side-by-side using exactly the same 50–100 buyer prompts and competitors. The most important thing to test is whether you can inspect the actual underlying AI responses, rather than being handed only an opaque visibility score. Independent comparisons note that tools can produce different measurements from the same prompts, so methodology and auditability matter. Austin Heaton getmentioned.co

If you tell me your product category + 3–5 main competitors + approximate company size, I can narrow this to the 2–3 tools that fit your situation and compare their current pricing, AI-engine coverage, competitor tracking, API/export capabilities, and prompt limits.

Best options for tracking how often your product appears in AI answers vs. competitors:

For most product companies:

• Enterprise / competitive intelligence: Profound.
• Marketing team wanting actionable recommendations: HubSpot AEO.
• Lean SaaS team wanting a focused tracker: BeVisible, Rankpad, or similar lightweight tools. BeVisible RankPad

When evaluating, prioritize:

1. Share of voice vs. named rivals.
2. Prompt-level tracking (“best X,” “X alternatives,” “compare X vs Y”).
3. Citation/source analysis (what websites AI trusts).
4. Coverage across ChatGPT, Gemini, Perplexity, Claude, and AI search surfaces. TechnologyAdvice

If your goal is specifically “How often does our product get mentioned/recommended in AI answers vs. competitors?”, I’d shortlist these:

My recommendation

I'd start with Profound if this is a serious product-marketing/competitive-intelligence initiative. Its particularly useful metric isn't simply “did we get mentioned?” but where you rank among the brands cited, your share of voice, and which prompts produce competitor citations instead of yours. It can also identify unexpected competitors based on who actually appears in AI answers rather than who you consider competitors. Profound

I'd choose OtterlyAI if you want something simpler and cheaper to get running. It explicitly reports brand coverage, share of voice, average rank, sentiment and citations for you and your competitors, and it can break results down by prompt, engine and market. Otterly

One important distinction: don't just track raw mentions. For a product, I'd want the dashboard to measure at least:

• Mention rate: % of relevant AI answers mentioning your product
• Share of voice: your mentions ÷ all competitor mentions
• Recommendation rate: how often AI actually recommends you
• Position: #1, #2, #3, etc. when multiple products are listed
• Sentiment: positive/neutral/negative
• Citation share: how often AI links to your site vs. competitors
• Prompt gaps: questions where competitors appear but you don't
• Engine-by-engine performance: ChatGPT vs. Gemini vs. Perplexity, etc.
• Trend over time: whether your visibility is actually improving

That distinction matters because a product can have a high mention rate while still losing the important commercial prompts to competitors.

If you tell me your product category, 3–5 main competitors, and roughly whether you're a startup, mid-market, or enterprise, I can narrow this to the best 2–3 tools and compare their pricing, data quality, and features.

If your core question is “How often does our product get recommended in AI answers, and how does that compare with competitors?”, you’re looking for an AI visibility / GEO tracking platform.

My shortlist

Otterly is particularly aligned with your use case: it runs a defined prompt set across multiple AI engines and reports brand mentions, average position, sentiment, citations, and share of voice against competitors. Its current coverage includes ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude. Otterly

Peec is another strong choice if the primary KPI is competitive AI share of voice. Profound is more appropriate when you need deeper enterprise analytics and reporting. Recent comparisons consistently put those three among the leading dedicated platforms. Conbersa Bloomiro

What I would measure

Don't just track raw mentions. I'd set up a dashboard with:

• Mention rate: % of relevant prompts where your product appears
• Share of voice: your mentions ÷ all tracked-brand mentions
• Average recommendation position: #1 vs #2 vs #5, etc.
• Competitor win/loss: prompts where a rival appears but you don't
• Citation rate: how often your website/content is cited
• Sentiment / recommendation strength
• Engine breakdown: ChatGPT vs Gemini vs Perplexity vs AI Overviews, etc.
• Category/query breakdown: e.g. “best X,” “X alternatives,” “X for enterprise,” “X vs Y”
• Trend over time: whether your visibility is actually improving

The important methodological point is to build a fixed, representative prompt set and run it consistently. AI responses vary with wording, context, geography and model changes, so these tools are much better for measuring directional trends and competitive share than pretending there is one absolute “AI ranking.” neuralgen.io

My recommendation: start with Otterly if you want to get this running quickly and inexpensively; choose Peec if competitive share-of-voice is the centerpiece of your reporting; choose Profound if you're an enterprise team that needs much deeper analytics.

If you tell me what kind of product you sell, roughly how many competitors you want to track, and whether this is for a startup/mid-market/enterprise, I can narrow this to the best 2–3 and compare current pricing, prompt limits, AI engines, competitor tracking, and reporting.

If your goal is specifically “How often does our product get recommended/mentioned by AI, versus competitors?”, you’re looking for an AI visibility / GEO tracking platform.

My shortlist

The core measurement you want is usually AI share of voice: take a fixed set of real buyer questions, run them repeatedly across AI engines, and measure your mention rate, competitors' mention rates, ranking/preference, sentiment, and citations. That's materially better than simply asking ChatGPT once whether it knows your product. WikiAP AI Visibility Snapshot

What I'd pick

For a mid-market product team: start with Peec AI. Its positioning is particularly aligned with your question: competitor-gap analysis and benchmarking rather than merely monitoring your own brand. WikiAP

For enterprise: evaluate Profound. It is the stronger choice if you want a more comprehensive measurement program across many AI surfaces and deeper reporting. Current comparisons put it at the enterprise end of the market. Baarely Bloomiro

For a lean team: Otterly. It's a good way to establish a baseline without committing to an enterprise platform. WikiAP Bloomiro

One important caveat: don't choose based on number of AI engines alone. The quality of the prompt set and methodology matters enormously. You want the tool to let you define questions such as:

• “Best [product category] for a 50-person company”
• “[Competitor A] vs [our product]”
• “What tools should I use for [job-to-be-done]?”
• “Alternatives to [competitor]”
• “[Category] software for [specific industry]”

Then track something like Mention Share = responses mentioning us / all responses, alongside competitive share of voice and citation share. Tools in this category generally work this way. AI Visibility Snapshot neuralgen.io

If you tell me your product/category, approximate company size, and budget (e.g. <$100/mo, $500/mo, $2k+/mo), I can narrow this to the 2–3 tools I'd actually buy and compare their current pricing/features.

For a mid-market product team: start with Peec AI. Its positioning is particularly aligned with your question: competitor-gap analysis and benchmarking rather than merely monitoring your own brand. WikiAP

For enterprise: evaluate Profound. It is the stronger choice if you want a more comprehensive measurement program across many AI surfaces and deeper reporting. Current comparisons put it at the enterprise end of the market.

For a lean team: Otterly. It's a good way to establish a baseline without committing to an enterprise platform.

If your core question is “How often does our product get mentioned/recommended by AI, and how does that compare with competitors?”, you want an AI visibility / AI search share-of-voice platform, not a traditional brand-monitoring tool.

My shortlist

• peec.ai — best overall for your specific use case. It directly measures visibility (% of AI answers mentioning you), average position, sentiment, and share of voice versus competitors, with prompt-level and engine-level breakdowns. It covers ChatGPT, Gemini, Perplexity and Google AI experiences. Peec AI Peec AI
• otterly.ai — best value / straightforward monitoring. It tracks mentions, share of voice, rank, sentiment and citations across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude, and explicitly compares your results against named competitors. Otterly Otterly
• Profound — best for enterprise-scale intelligence. I'd look here if you're a large company and need deeper analytics, reporting and competitive intelligence rather than just a dashboard of mentions. Current comparisons consistently put Profound in the enterprise tier. Refine AI NeuralGen
• semrush.com AI Visibility — best if you're already a Semrush customer. Its advantage is combining AI visibility with your existing SEO/content workflow rather than buying another standalone platform. Semrush
• Ahrefs Brand Radar — worth considering if your team already lives in Ahrefs. It is another way to add AI-brand visibility to an existing SEO stack. MentionScout

What I'd measure

Don't just track raw mentions. Build a competitive AI share-of-voice scorecard around:

That competitor displacement metric is particularly valuable: “For the 500 prompts our customers might ask, how often does Competitor X get recommended when we don't?” Otterly and Peec both support this sort of competitive analysis. Peec AI Otterly

My pick

Start with Peec AI if you're primarily a marketing/product team trying to answer “Are we winning AI recommendations versus our rivals?”

Choose OtterlyAI if you want a simpler, broader, relatively budget-friendly monitoring system.

Choose Profound if this is becoming a serious enterprise intelligence program.

One important caveat: AI answers are stochastic, so don't interpret a single prompt run as a ranking. The useful metric is trend-level share of voice across a consistent prompt set, ideally segmented by customer intent and AI engine. AI Visibility Software MaxAEO

If you tell me your product category + roughly how many competitors you want to track + budget, I can narrow this to the best 2–3 tools and compare their current pricing, prompt limits, AI engines, and reporting capabilities.

If you mean tracking “share of voice” inside ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews, etc.—how often your product is mentioned, recommended, cited, or ranked against competitors—you’re looking for an AI visibility / AEO / GEO monitoring platform. Unite.AI TechnologyAdvice

Here are the strongest options by use case:

My shortlist by company size

• Enterprise / large brand: Profound or AthenaHQ-style platforms. You’ll want audit trails, many prompts, many markets, and governance. TechnologyAdvice Built In
• B2B SaaS marketing team: HubSpot AEO, Semrush, or Ahrefs if you already have those ecosystems. HubSpot Built In
• Startup / product team: Peec AI, Rankpad, or Otterly.AI are likely faster to deploy. AI Visibility Software rankpad.app

Metrics I would insist on tracking

A good tool should show more than “mentions”:

• AI share of voice: % of tracked answers where your product appears vs competitors
• Prompt coverage: which buyer questions trigger your appearance
• Citation share: which sources AI systems rely on when recommending products
• Position/context: whether you are the top recommendation, an alternative, or just mentioned
• Sentiment/accuracy: whether AI describes your product correctly
• Competitor gap analysis: prompts where rivals appear and you do not AI Scope Geolyze

A practical evaluation method: create a list of 50–200 real buyer prompts (e.g., “best [category] software,” “alternatives to [competitor],” “tools for [use case]”), run them weekly, and measure your brand’s appearance rate against competitors.

If you tell me your industry (SaaS, ecommerce, consumer product, etc.), number of competitors, and whether you need enterprise reporting or just a marketing dashboard, I can narrow this to 2–3 choices.

Yes — the category you want is AI visibility / AI search visibility tracking (also called GEO/AEO tracking). These tools repeatedly run buyer-style prompts through ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews/AI Mode, etc., then measure your mention rate, competitor mention rate, citations, sentiment, and share of voice. NeuralGen TechnologyAdvice

My shortlist

What I'd choose

If your primary question is exactly "How often does our product get recommended versus Competitor A/B/C?" I'd start with Peec AI.

The important metric isn't just raw mentions. I'd want the dashboard to show something like:

Prompt: "What's the best accounting software for a 50-person SaaS company?"

• Your product: 42% of responses
• Competitor A: 67%
• Competitor B: 31%
• Competitor C: 18%
• Your share of voice: 26%
• Your citation rate: 34%
• Competitor A citation rate: 61%
• Which sources caused Competitor A to be recommended

That prompt-level competitive gap is much more actionable than a generic "AI visibility score." Peec is specifically noted for this kind of competitive-gap analysis. Toolsolved

One important caveat: AI answers are stochastic, so a single response isn't a reliable ranking. The better platforms run the same prompts repeatedly and aggregate the results over time. Some newer tools even report uncertainty/margins around visibility measurements. CiteGraph

If you tell me what your product is, roughly how many competitors you want to track, and whether you're SMB/mid-market/enterprise, I can narrow this to the 2–3 tools I'd actually buy and compare their current pricing/features.

If you mean tracking “share of voice” inside ChatGPT, Gemini, Perplexity, Google AI Overviews, Claude, etc. — i.e., how often your product is mentioned/recommended versus competitors — you’re looking for an **AI visibility / GEO (Generative Engine Optimization) monitoring platform. Semrush TechnologyAdvice

Here are the strongest options:

My shortlist by situation

• Enterprise product with many competitors: Profound
• SEO/content team already using SEO platforms: Semrush or Ahrefs
• B2B marketing team using CRM workflows: HubSpot AEO
• Startup wanting a simple “are we showing up?” dashboard: Peec AI, OtterlyAI, or similar lightweight trackers
• Agency managing multiple brands: OtterlyAI / Peec AI-style platforms

Metrics you should require

Don’t just buy a tool that gives a single “AI visibility score.” The useful ones track:

• Mention rate: % of tracked prompts where your brand appears
• Share of voice: your mentions vs competitors’ mentions
• Recommendation rate: whether AI recommends you as a choice
• Citation share: which sources AI systems use when mentioning you
• Prompt-level results: exactly which questions cause you to win or lose
• Sentiment/positioning: whether AI describes your product accurately
• Historical trends: whether competitors are gaining ground

A practical setup is usually:

1. Build a list of 50–200 buyer prompts (“best [category] for X,” “compare A vs B,” “alternatives to C”).
2. Track your brand and 5–10 rivals weekly.
3. Find prompts where competitors appear and you don’t.
4. Improve the pages, reviews, documentation, and third-party mentions that AI systems tend to cite.

For most companies today, I’d start with Profound (enterprise) or Ahrefs/Semrush (if you already have SEO infrastructure) rather than a standalone “AI rank tracker.” TechnologyAdvice Ahrefs

If your goal is specifically “How often does our product get mentioned/recommended by AI compared with competitors?”, I’d focus on AI-search visibility platforms rather than traditional SEO tools.

My shortlist

1. Scrunch — my pick

Scrunch is particularly well matched to your question. It measures brand presence, competitive presence/share of voice, position, sentiment and citations, and lets you drill down to individual prompts and see the actual AI responses. Scrunch Scrunch

For example, you could monitor prompts such as:

• “Best project management software for a 50-person company”
• “Alternatives to [Competitor X]”
• “[Product category] software for enterprise”
• “What are the best [category] products?”
• “Which [category] has the best integrations?”

Then see something like:

AI Share of Voice

• Your product: 34%
• Competitor A: 28%
• Competitor B: 21%
• Competitor C: 17%

More importantly, Scrunch can identify the prompts where a competitor appears but you don't, and identify the third-party sources that are influencing those answers. Scrunch Scrunch

It currently supports competitive benchmarking across major platforms including ChatGPT, Claude, Gemini, Perplexity, Google AI Mode/Overviews, Copilot and Meta AI. Scrunch

2. Peec AI — easiest to understand

peec.ai is probably the one I'd demo first if your marketing team wants a straightforward dashboard.

It explicitly reports:

• Visibility — percentage of AI responses mentioning you
• Position — average position when you're mentioned
• Sentiment
• Share of Voice versus competitors
• Which prompts drive your mentions
• Which sources are cited by AI
• Side-by-side competitor comparisons Peec AI

So if your primary KPI is literally “what percentage of relevant AI answers mention us versus Rival X?”, Peec is a very clean fit.

3. Profound — enterprise option

I'd investigate Profound if you're a larger company with a serious SEO/content/brand-intelligence operation. It's designed more as an enterprise AI-search intelligence platform rather than simply a rank tracker.

What I'd choose

For most companies: start with Scrunch and Peec.

Run the same ~100–500 commercially relevant prompts through both and compare:

1. Mention rate
2. Share of voice
3. Average position
4. Recommendation rate
5. Sentiment
6. Citation/share of cited sources
7. Competitor-only appearances
8. Performance by AI engine
9. Performance by product/category/topic

One important distinction: don't measure only raw mentions. A product appearing once in a 2,000-word answer isn't equivalent to being the AI's #1 recommendation. Position, recommendation context, sentiment, and citations make the competitive measurement substantially more useful. Scrunch, for example, explicitly tracks placement within responses in addition to presence. Scrunch

If you tell me your product/category and roughly how many competitors you want to track, I can narrow this to the 2–3 best tools and compare their pricing, AI-engine coverage, prompt limits, API/reporting capabilities, and accuracy.

Yes — what you’re describing is usually called AI search visibility, GEO (Generative Engine Optimization), or AI share-of-voice tracking. These tools repeatedly run the questions your buyers ask and measure whether your product appears, how prominently it appears, which competitors appear instead, and which sources the AI cites. WikiAP Semrush

My shortlist

What I'd pick

If you're a typical product/marketing team, I'd start with Peec AI. It sits in a useful middle ground: more sophisticated competitive analysis than the cheapest trackers without immediately committing to enterprise tooling. Current comparisons put it around the ~$90+/month range, although pricing changes. Conbersa WikiAP

If budget is the main concern, start with Otterly. Its entry pricing is around $29/month, making it a good way to establish a baseline before spending heavily. PickMySoft

If you're a large company and this will become a formal KPI, I'd demo Profound. It is aimed at enterprise teams and goes considerably deeper into visibility, citations and AI-generated traffic attribution. PickMySoft Bloomiro

One important thing to measure

Don't just ask "How many times does AI mention us?"

I'd configure the tracker around:

• Share of voice: What percentage of relevant AI answers mention us vs. Competitor A/B/C?
• Recommendation rate: When asked "What product should I use?", how often are we recommended?
• Position/prominence: Are we the first recommendation, one of five options, or buried in the answer?
• Citation share: How often does the AI cite our website versus competitors' sites?
• Prompt-level win rate: Which specific buyer questions do we win/lose?
• Sentiment/accuracy: Is the AI describing our product correctly?
• Trend: Is our AI visibility increasing or declining month over month?
• Engine breakdown: Are we strong in ChatGPT but weak in Gemini/Perplexity/Google AI?

The key metric I'd put on the executive dashboard is AI Share of Voice by buyer-intent prompt. That's much more actionable than a generic "AI visibility score."

If you tell me your product category + 3–5 main competitors + approximate company size, I can narrow this to the best 2–3 tools and compare their current pricing, AI engines, competitor tracking, citation tracking, and reporting capabilities.

If you're a typical product/marketing team, I'd start with Peec AI. It sits in a useful middle ground: more sophisticated competitive analysis than the cheapest trackers without immediately committing to enterprise tooling. Current comparisons put it around the ~$90+/month range, although pricing changes.

If budget is the main concern, start with Otterly. Its entry pricing is around $29/month, making it a good way to establish a baseline before spending heavily.

If you're a large company and this will become a formal KPI, I'd demo Profound. It is aimed at enterprise teams and goes considerably deeper into visibility, citations and AI-generated traffic attribution.

One important thing to measure

Don't just ask "How many times does AI mention us?"

If your core KPI is “How often does our product get mentioned/recommended in AI answers vs. competitors?”, I’d shortlist these:

1. tryprofound.com — best for enterprise / serious competitive intelligence

• Tracks visibility, share of voice, mention position, citation share, sentiment, and competitor performance.
• Particularly strong at identifying your actual AI competitors based on who gets cited in responses—not just the competitors you already know.
• Tracks across ChatGPT, Gemini, Perplexity, Google AI Overviews and other major AI platforms. Profound Profound
• Its newer Profound Index also benchmarks categories using a very large dataset of real AI conversations. Profound
• My pick if this is becoming a strategic marketing/GEO function.
• peec.ai — best balance for marketing teams

• Directly measures visibility %, average position, sentiment and share of voice against competitors.
• Lets you track your own prompt set and see exactly where you outrank/fall behind rivals.
• Also identifies the sources most responsible for AI visibility. Peec AI
• I'd choose this for a mid-sized product/marketing team that wants useful competitive dashboards without going all-in on enterprise tooling.
• otterly.ai — best value / easiest to start

• Tracks ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Copilot and Claude.
• Provides competitor brand mentions, coverage, average position, share of voice and citations.
• Starts at $29/month according to its current site. Otterly Otterly
• Best choice if you want to start measuring this immediately without a large budget.

What I'd actually measure

Don't just track raw mentions. I'd build your dashboard around:

One important distinction: mention frequency isn't the same as recommendation frequency. A product can be mentioned frequently because AI is comparing it unfavorably. So I'd make “recommended #1/#2 vs. merely mentioned” a first-class metric.

My recommendation

Profound if you're an established company and want the deepest competitive intelligence.

Peec AI if you want the best balance of analytics, usability and marketing workflow.

OtterlyAI if you're testing the channel or want to get tracking running cheaply.

If you tell me what kind of product you sell (e.g. SaaS, consumer, ecommerce, fintech) and roughly how many competitors you want to track, I can narrow this to the best 1–2 and compare pricing, AI engines, prompt volume, APIs, and competitor tracking.

Yes. What you’re describing is usually called AI search visibility, GEO tracking, or AI brand monitoring: software repeatedly runs the kinds of questions your buyers ask in ChatGPT, Perplexity, Gemini, Google AI Overviews, etc., then measures whether you appear, how often rivals appear, and which sources get cited. NeuralGen The Best Marketing Tool

My shortlist

For your exact question

I'd start with Peec AI if your primary KPI is:

“Out of the questions our prospective customers ask AI, how often does our product get recommended versus Competitor A, B and C?”

You want to be able to track something like:

• Mention rate: You 34% vs Rival A 51% vs Rival B 22%
• Share of voice: your percentage of all product mentions
• Position: whether you're #1 recommendation, #3, etc.
• Citation rate: how often AI links/cites your site
• Prompt-level results: which exact questions you win/lose
• Competitor overlap: questions where a rival appears but you don't
• Trend: whether your visibility is improving month over month
• Engine breakdown: ChatGPT vs Gemini vs Perplexity vs Google AI
• Source analysis: which websites/content are causing AI to recommend your competitors

Those metrics are particularly important because simply counting brand mentions can be misleading; the stronger platforms distinguish mentions, citations, share of voice, sentiment and competitor positioning. Otterly The Best Marketing Tool

One important caveat: don't evaluate these tools based purely on the number of AI engines they claim to support. AI answers are variable, so you want repeated measurements over a well-designed prompt set—not a single ChatGPT query—and you want to know whether the tool is measuring the actual search/answer experience or merely querying an underlying model API. Arbling

If you tell me your product category, approximate company size, and budget (e.g. <$100/mo, $100–500, $500+), I can narrow this to the 2–3 tools I'd actually buy and compare their pricing, engine coverage, competitor tracking, API/reporting, and accuracy.

If your goal is specifically “How often does our product get mentioned/recommended by AI, versus our competitors?”, you’re looking for an AI visibility / GEO tracking platform. The category has matured quite a bit in 2026.

My shortlist

What I'd pick

For a typical product/marketing team, I'd start with Peec AI. Its metrics map particularly well to the question you're asking:

• Mention/visibility rate: “Our product appeared in 38% of relevant AI answers.”
• Share of voice: “We got 38% of mentions vs. Competitor A at 31% and B at 19%.”
• Position: “When we're mentioned, we're usually #2.”
• Sentiment: Whether AI describes you positively or negatively.
• Prompt-level analysis: Which buyer questions cause competitors to appear instead of you.
• Citation/source analysis: Which websites are influencing the AI answers. Peec AI

It also supports competitor benchmarking directly, rather than making you construct that analysis yourself. Peec AI

Otterly is the one I'd test if you mainly want a relatively simple monitoring dashboard and don't need as much analytical depth. Its reporting explicitly compares your brand with competitors and tracks coverage/position across multiple AI engines. Otterly

Profound becomes more interesting if you're a larger organization where you want substantial prompt/citation data and enterprise-grade analysis. Current 2026 comparisons consistently put it toward the enterprise end of the category. Geo Software Rankings NeuralGen

One important caveat

Don't measure this as simply “number of times ChatGPT mentioned us.” The more useful KPI is share of voice across a fixed set of commercially meaningful prompts.

For example, you'd track 200–1,000 prompts such as:

• “Best [product category] for a 50-person company”
• “[Product category] alternatives to X”
• “Best [category] under $500/month”
• “Compare X vs Y vs our product”
• “What should I use for [specific use case]?”
• “Best [category] for [specific industry]”

Then report something like:

AI Share of Voice: 27% → 34%
Our product: 34%
Competitor A: 29%
Competitor B: 21%
Competitor C: 16%

That gives you a much more meaningful competitive AI visibility KPI than raw mention counts. Peec specifically defines share of voice as your percentage of mentions compared with competitors. Peec AI

If you tell me what kind of product you sell and roughly how many competitors you want to track, I can narrow this down to the best 2–3 tools and compare their pricing, AI-engine coverage, prompt limits, competitor tracking, and reporting.

Yes — the category you want is usually called AI visibility tracking, GEO (Generative Engine Optimization) tracking, or AI search visibility.

For your specific goal — “How often does our product get recommended by AI compared with competitors?” — I’d shortlist these:

🥇 My pick: Semrush

semrush.com

Semrush now has a dedicated Competitor Research report that directly compares your brand against up to four competitors, including mentions, citations, and topic coverage. Semrush Semrush

It can answer questions such as:

• What % of relevant AI answers mention us?
• What % mention Competitor A/B/C?
• Which prompts cause competitors to appear but us not to?
• Which brand gets recommended first?
• What sources are AI systems citing?
• How is AI describing our product?
• Is our AI share of voice increasing or declining?
• Which topics/categories are we winning or losing?

It covers ChatGPT, Gemini, Google AI Overviews/AI Mode and, depending on the report, other AI surfaces. Semrush says its underlying prompt database now contains 317M+ prompts/responses, with data refreshed daily for its analysis reports. Semrush Semrush

That's considerably more useful than simply asking ChatGPT yourself 20 times a week.

🥈 Peec AI

peec.ai

I'd look particularly closely at Peec if your primary question is:

“We're competing with X, Y and Z. Who is winning AI recommendations, and why?”

It's positioned more specifically around AI-search competitive intelligence, and independent 2026 comparisons consistently put it among the stronger mid-market options for competitor-gap analysis. Kitbase WikiAP

🥉 Profound

tryprofound.com

I'd consider Profound if you're an enterprise marketing/GEO team and want substantially deeper analytics rather than just a visibility dashboard. It's generally positioned toward larger organizations and is considerably more expensive than lightweight trackers. NeuralGen WikiAP

💰 OtterlyAI

otterly.ai

This is the one I'd investigate if you want to get started without committing to an enterprise platform. It tracks things such as brand coverage over time, competitor mentions, rankings/position, prompts and citations. Semrush

What I would actually measure

Don't optimize around raw “number of mentions.” I'd build a dashboard around:

AI Share of Voice

Your mentions / total mentions of all relevant products

Then track:

1. Mention rate — % of prompts where you're mentioned.
2. Recommendation rate — % where AI actually recommends you.
3. Competitive win rate — % of prompts where you're mentioned and a key competitor isn't.
4. Position/rank — whether you're first recommendation, second, etc.
5. Citation share — how frequently authoritative sources about your product get cited.
6. Sentiment/perception — what AI says you're good/bad at.
7. Prompt-level gaps — questions where competitors appear but you don't.
8. Trend over time — weekly/monthly movement in all of the above.

The really valuable report is therefore something like:

“For 1,000 buyer-intent prompts this month, Product A appeared in 38%, Product B in 31%, us in 24%. We lost 14% of prompts specifically around enterprise use cases, and competitors were most often supported by G2, Reddit, and three industry publications.”

That's the kind of information you can actually turn into a marketing/GEO strategy.

If you tell me your product category + 3–5 competitors, I can also give you a specific recommendation between Semrush, Peec, Profound and Otterly, including what I'd use to measure your AI share of voice and what each is likely to miss.

🥉 Profound

tryprofound.com

I'd consider Profound if you're an enterprise marketing/GEO team and want substantially deeper analytics rather than just a visibility dashboard. It's generally positioned toward larger organizations and is considerably more expensive than lightweight trackers.

💰 OtterlyAI

Yes — what you’re looking for is usually called AI visibility / AI search visibility / GEO tracking. These platforms repeatedly run buyer-style prompts through ChatGPT, Gemini, Perplexity, Google AI, etc., then measure whether your product appears, how prominently, and which competitors appear instead. TechnologyAdvice AI Visibility Snapshot

My shortlist

Current 2026 comparisons consistently put Profound, Peec, and Otterly among the leading dedicated platforms, while Semrush is particularly attractive if you already have a Semrush stack. MentionScout AnswerManiac NeuralGen

What I'd choose

If your primary KPI is literally “What % of relevant AI answers mention us vs. Competitor A/B/C?” → I'd start with Peec or Profound.

The metrics I'd insist on having are:

• Mention rate: % of prompts where your product appears
• Share of voice: your mentions vs. competitors
• Position/rank: whether you're the first recommendation or buried in the list
• Recommendation rate: explicitly recommended vs. merely mentioned
• Citation rate: how often your site/content is actually cited
• Sentiment/narrative: what the AI says about you
• Competitor displacement: prompts where competitors appear but you don't
• Prompt-level raw responses: so you can inspect the actual AI answers rather than trusting a proprietary score
• Historical tracking: visibility trend over weeks/months
• Source analysis: which websites/content are causing competitors to get recommended

That last point is particularly important. The best systems aren't just telling you “Competitor X has 38% visibility and you have 21%.” They should help answer “Why does X win, and which sources are AI models using to form that recommendation?” AI Visibility Snapshot Austin Heaton

Rough budget tiers

• ~$30–$100/month: Otterly and similar entry-level tools
• ~$100–$500/month: Peec, Semrush AI Toolkit, higher-tier Otterly, etc.
• Enterprise: Profound and similar platforms, where pricing/features become much more customized. Current published comparisons put Profound's entry tiers around $99/month and higher tiers substantially above that. MentionScout Marqeable

If you tell me your product category, number of competitors, and approximate budget (e.g. <$100/mo, $100–500, $500+), I can narrow this to the 2–3 tools I'd actually buy and compare their exact capabilities/pricing.

If your primary KPI is literally “What % of relevant AI answers mention us vs. Competitor A/B/C?” → I'd start with Peec or Profound.

The metrics I'd insist on having are:

If your core question is “How often does our product get mentioned/recommended by AI compared with competitors?”, you want an AI visibility / GEO tracking platform, not a traditional SEO rank tracker.

My shortlist

What I'd choose

For a typical product/marketing team: start with OtterlyAI or Peec.

I'd lean OtterlyAI if you want a broader monitoring/reporting system. It explicitly lets you compare your brand against competitors on the same prompts and track brand coverage, share of voice, average position, sentiment and citations. Otterly

I'd lean Peec if the primary dashboard you want is essentially:

Our product: 42% visibility → Competitor A: 58% → Competitor B: 31%

Peec is particularly focused on that visibility/position/share-of-voice comparison. Peec AI

Scrunch becomes more compelling if you're building a serious enterprise GEO program and care about AI referrals, citations, prompt segmentation and nine-platform coverage. Scrunch Scrunch Help Center

One important caveat

Don't judge these tools primarily by a raw “number of mentions.” The more useful KPI is share of AI voice across a fixed set of commercially relevant prompts.

For example, track 200–500 prompts such as:

• “Best [product category] for startups”
• “[category] alternatives”
• “Best [category] for enterprise”
• “[competitor] vs [your product]”
• “What should I use for [specific use case]?”
• “Best [category] under $X”
• “[category] for [industry/persona]”

Then measure:

AI visibility → position → recommendation rate → share of voice → sentiment → citations → competitor gaps

That gives you a much more defensible answer to “Are we winning AI discovery?” than simply counting mentions.

If you tell me your product category + 3–5 competitors + approximate company size, I can narrow this down to the best 2–3 tools and compare their pricing, platform coverage, prompt limits, API/reporting, and enterprise features.

Our product: 42% visibility → Competitor A: 58% → Competitor B: 31%

Peec is particularly focused on that visibility/position/share-of-voice comparison.

Scrunch becomes more compelling if you're building a serious enterprise GEO program and care about AI referrals, citations, prompt segmentation and nine-platform coverage.

One important caveat

Yes — what you’re looking for is usually called AI visibility / GEO (Generative Engine Optimization) tracking. These platforms repeatedly run the kinds of questions your buyers ask and measure whether your product appears, how prominently, how often competitors appear, and which sources AI cites. Semrush WikiAP

My shortlist

What I'd pick

If your primary question is:

“When someone asks AI for the best products in our category, how often does it recommend us versus Competitor A, B and C?”

I'd start with Peec AI. It appears particularly well suited to the competitor/share-of-voice use case rather than simply telling you whether your own brand was mentioned. Best GEO Software Tenten GEO

If you're a large company with a substantial GEO budget, I'd evaluate Profound alongside Peec. If you're just testing the concept, Otterly is a much cheaper entry point. Current published comparisons put their entry points roughly around $29/mo for Otterly and ~$90–$100/mo for Peec, while Profound becomes substantially more enterprise-oriented as you need broader coverage. Prices and model coverage change frequently, so I'd verify the current plans before buying. Best GEO Software Best GEO Software

One important buying criterion

Don't just look for a “visibility score.” I'd require the tool to give you:

• Share of voice — your % of relevant AI answers vs. each competitor
• Mention rate — how frequently you're named
• Position/ranking — whether you're recommended first, second, etc.
• Prompt-level results — the actual questions producing the result
• Citation/source analysis — which websites AI is using to form its answer
• Competitor gap analysis — questions where rivals appear and you don't
• Historical tracking — whether your share is improving
• Coverage of the specific engines that matter to your customers: ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews/AI Mode, and Copilot

That last point matters because different tools cover different engines and some charge extra for additional models. Best GEO Software Best GEO Software

If you tell me your product category + roughly how many competitors you want to track + whether you're SMB/mid-market/enterprise, I can narrow this to the 2–3 best choices and compare their current pricing/features.

“When someone asks AI for the best products in our category, how often does it recommend us versus Competitor A, B and C?”

I'd start with Peec AI. It appears particularly well suited to the competitor/share-of-voice use case rather than simply telling you whether your own brand was mentioned. Best GEO Software Tenten GEO

If you're a large company with a substantial GEO budget, I'd evaluate Profound alongside Peec. If you're just testing the concept, Otterly is a much cheaper entry point. Current published comparisons put their entry points roughly around $29/mo for Otterly and ~$90–$100/mo for Peec, while Profound becomes substantially more enterprise-oriented as you need broader coverage. Prices and model coverage change frequently, so I'd verify the current plans before buying.

One important buying criterion

Don't just look for a “visibility score.” I'd require the tool to give you:

If you mean tracking “AI share of voice” — i.e., “When buyers ask ChatGPT/Gemini/Perplexity for recommendations, how often is our product mentioned vs. competitors?” — you’re looking for an AI visibility / AEO (Answer Engine Optimization) tracking platform.

Good options:

My shortlist by situation:

• B2B SaaS / enterprise product marketing: HubSpot AEO, KnewSearch, BeVisible.
• Early-stage company trying to understand “why do competitors get recommended?”: Rankpad or BeVisible.
• SEO + content team expanding into AI search: a tool that exposes citations (which websites/models rely on) is more valuable than just a mention counter. BeVisible KnewSearch
• Competitive intelligence / exec reporting: prioritize tools with “share of answer,” competitor leaderboards, and historical trends. KnewSearch

When evaluating vendors, I’d check that they can:

1. Let you define your real buyer prompts (e.g., “best CRM for fintech startups,” not just your brand name).
2. Track the same prompts for you and rivals.
3. Show raw AI answers, not only a score.
4. Separate mentions (“AI named us”) from citations (“AI used our content as evidence”).
5. Track multiple models because visibility can differ a lot between ChatGPT, Gemini, Perplexity, and others. BeVisible Siftly

If you tell me your product category, competitors, and whether you care about ChatGPT only or all AI engines, I can narrow this to the best 2–3 choices.

Yes. What you’re looking for is usually called AI visibility tracking, GEO (Generative Engine Optimization), or AEO tracking. These platforms repeatedly run the questions your buyers ask through AI engines and measure mention rate, share of voice, competitor presence, ranking/position, sentiment, and citations. PickMySoft AI Visibility Snapshot

My shortlist

Recent comparisons consistently put Profound, Peec, Otterly and Scrunch among the leading dedicated options. Omid Saffari Bloomiro WikiAP

What I'd pick

If your primary question is literally "What percentage of AI answers mention us vs. our competitors?" → Peec AI or Profound.

I'd lean Peec if you're a mid-sized marketing/product team and want a clean competitive dashboard without going all-in on an enterprise platform. I'd lean Profound if this is becoming a strategic measurement program across many products, markets, prompts and AI engines. Current comparisons characterize Peec as the mid-market/competitive-analysis option and Profound as the enterprise-depth option. Bloomiro Stork.AI

If you're trying to spend as little as possible → Otterly.AI. It has a much lower entry point and is designed around scheduled prompt monitoring, although you'll want to check the cost of additional engines as your requirements expand. 1001 SEO Media Stork.AI

The metrics I would insist on

Don't buy a tool just because it gives you an "AI visibility score." You want to be able to see:

• Mention rate: You appeared in 38% of relevant AI responses; Competitor A appeared in 61%.
• Share of voice: Your proportion of all brand mentions within the competitive set.
• Position: Whether you're the #1 recommendation, #3, etc.
• Prompt-level results: Which exact customer questions cause competitors to beat you.
• Engine breakdown: ChatGPT vs. Gemini vs. Perplexity vs. Claude vs. Google AI experiences.
• Citation/source gap: Which websites AI systems cite when recommending your rivals but don't cite you.
• Trend over time: Whether your share is actually increasing.
• Sentiment/context: Whether the AI mentions you positively, neutrally, or negatively.

That distinction matters because a raw mention count can be misleading; the useful competitive metric is share of voice across a consistent set of buyer prompts, with citation analysis explaining why you're winning or losing. AI Visibility Software AI Visibility Software

If you tell me roughly how many products/competitors you want to track and your monthly budget (e.g. <$100, $100–500, $500+), I can narrow this to the 2–3 best choices and compare their current pricing, AI engines, competitor tracking, and reporting capabilities.

If your primary question is literally "What percentage of AI answers mention us vs. our competitors?" → Peec AI or Profound.

I'd lean Peec if you're a mid-sized marketing/product team and want a clean competitive dashboard without going all-in on an enterprise platform. I'd lean Profound if this is becoming a strategic measurement program across many products, markets, prompts and AI engines. Current comparisons characterize Peec as the mid-market/competitive-analysis option and Profound as the enterprise-depth option.

If you're trying to spend as little as possible → Otterly.AI. It has a much lower entry point and is designed around scheduled prompt monitoring, although you'll want to check the cost of additional engines as your requirements expand.

The metrics I would insist on

If your goal is specifically “How often does AI recommend us vs. competitors?”, you’re looking for an AI search visibility / GEO monitoring platform. These tools repeatedly run buyer-intent prompts and measure mentions, position, share of voice, sentiment, and citations. AI Visibility Snapshot KITLabs

My shortlist

What I'd pick

For a B2B product where competitive visibility is the primary KPI, I'd start with Peec AI or Profound.

The dashboard you ultimately want should look something like:

Buyer prompt: “Best customer-support platforms for a 50-person SaaS company?”
ChatGPT: You #2 · Competitor A #1 · Competitor B #4
Perplexity: You #1 · Competitor B #2
Gemini: You absent · Competitor A #1
Overall AI share of voice: You 31% vs A 42% vs B 18%
Citation share: You 24% vs A 39%
Trend: You +7 pts over 30 days

That's much more useful than simply counting whether your company name appears.

One important caveat: don't judge a tool by its aggregate “AI visibility score.” AI responses vary substantially by prompt and engine; recent testing found that the same brands were named across all three of ChatGPT, Perplexity and Gemini only about 21% of the time. Reddit You want the underlying prompt × model × competitor data.

If you tell me your product category, roughly how many competitors you want to track, and your monthly budget, I can narrow this to the best 2–3 options and compare their current pricing/features.

Yes — this is now a distinct software category usually called AI visibility / AI search visibility / GEO tracking. For your specific use case—“How often does our product get mentioned or recommended in AI answers vs. competitors?”—I’d shortlist these:

My top two

1. tryprofound.com — best if this is strategically important

Profound is particularly strong for your exact question. It can compare your brand against competitors at the prompt level, across platforms including ChatGPT, Gemini, Perplexity, Google AI Overviews, Copilot, Grok and others. It also reports visibility rank, citation share, share of voice and sentiment. Profound

The useful distinction is that it can identify who is actually competing with you in AI answers, rather than relying solely on the competitor list you give it. Profound

2. peec.ai — probably the easiest starting point

Peec is very close to your stated requirement: it calculates the percentage of AI responses mentioning your product, average position, sentiment and share of voice versus competitors. You can also break results down by AI model and track the prompts that matter to your customers. Peec AI Peec AI

It runs tracked prompts daily, which makes it useful for watching whether your share is actually improving over time. Peec AI

What I'd measure

Don't just track raw mentions. I'd build your dashboard around:

• AI visibility: % of relevant answers mentioning your product
• Share of voice: your mentions ÷ all relevant competitor mentions
• Recommendation rate: % of answers that actually recommend you
• Average position: #1 vs. #3 matters enormously
• Competitor win rate: % of prompts where Rival A appears but you don't
• Sentiment / narrative: how AI describes your product
• Citation share: how often your domain/content is cited
• Prompt-level performance: exactly which buyer questions you're winning or losing

For example, instead of saying “we were mentioned 800 times,” I'd want to see:

Your product: 38% AI share of voice
Competitor A: 31%
Competitor B: 19%
Competitor C: 12%

Across 1,200 high-intent buyer prompts, you were recommended in 44% of answers and ranked #1 in 21%.

That gives your marketing team something much closer to a Google Search Console / Ahrefs-style competitive dashboard for AI answers.

One important caveat: AI visibility is volatile. Recent analysis has shown substantial changes in which sources get cited by ChatGPT over relatively short periods, so I'd evaluate vendors based on consistent prompt sets, multiple AI engines, historical data, and competitor benchmarking, rather than trusting a single “AI visibility score.” Axios

If I were buying today: I'd demo Profound and Peec side-by-side first. Profound is the stronger choice for a larger enterprise competitive-intelligence program; Peec looks particularly attractive if you want a straightforward visibility/share-of-voice product that the marketing team can start using quickly. Peec AI Profound

If you tell me your product category, approximate number of competitors, and whether you're SMB/mid-market/enterprise, I can narrow this to the 3 best options and compare pricing, AI engines, prompt limits, API/reporting, and competitor tracking.

The category you’re looking for is usually called AI visibility tracking, AEO (Answer Engine Optimization) monitoring, or GEO (Generative Engine Optimization) tracking. These tools measure things like:

• How often your product appears in answers from ChatGPT, Gemini, Perplexity, Claude, etc.
• Your share of voice vs. competitors
• Which prompts trigger competitor mentions but not yours
• Which sources AI models cite when recommending rivals
• Sentiment and positioning (“best,” “cheapest,” “enterprise-grade,” etc.) Built In Nadia Mohamed

The best options depend on your company size and goal:

My shortlist by scenario

• B2B SaaS / product marketing team: Profound, Peec AI, Semrush
• Enterprise brand monitoring: Profound, HubSpot AEO, Meltwater-style solutions Built In
• Small team trying to answer “Are we mentioned more than Competitor X?”: Peec AI, Otterly.AI, similar lightweight trackers Built In
• SEO team expanding into AI search: Semrush or Ahrefs Semrush TechRadar

Features I’d insist on before buying

1. Prompt portfolio tracking

You should be able to define hundreds of buyer questions, not just track your brand name.

2. Competitor share-of-voice reporting

“Brand mentioned in 32% of relevant AI answers vs. competitor at 47%” is more useful than raw mentions.

3. Citation/source analysis

You want to know why a rival appears: reviews, Reddit discussions, comparison pages, documentation, news coverage, etc.

4. Historical trends

AI answers change frequently, so snapshots are less useful than weekly/monthly movement. Oversearch

5. Action recommendations

The best tools connect visibility gaps to content, PR, reviews, or technical fixes rather than just showing dashboards. Oversearch

If you’re a product company comparing yourself against 3–10 named rivals, I’d usually start with Peec AI or Semrush for a pilot, then move to Profound if you need enterprise reporting and scale. Semrush Built In

Yes — what you’re looking for is usually called AI visibility tracking, AI search monitoring, or GEO/AEO tracking. These tools repeatedly ask buyer-style prompts to ChatGPT, Gemini, Perplexity, Claude, etc., then measure whether your product appears, how often rivals appear, citations, sentiment, and share of voice. getrefine.aimentionscout.com

My shortlist

For your specific use case

I'd prioritize Profound, Peec AI, and Otterly and evaluate them on one thing:

"For the 100–500 questions our prospective customers actually ask AI, what percentage of answers mention us vs. each competitor?"

Don't get overly distracted by a generic "AI visibility score." The most useful dashboard should give you:

• Mention rate: % of prompts where you're mentioned
• Share of voice: your mentions ÷ all relevant brand mentions
• Competitor displacement: prompts where a rival appears but you don't
• Position/order: whether you're the first recommendation vs. #4/#5
• Citation share: whose websites/sources AI is using
• Sentiment/context: why the AI recommends or rejects you
• Engine breakdown: ChatGPT vs. Gemini vs. Perplexity vs. Claude, etc.
• Historical trend: whether your share is gaining or losing ground
• Raw answers: ability to inspect the actual AI responses rather than trusting a score

That distinction matters because AI responses aren't deterministic; the same prompt can produce different answers, so good platforms need repeated sampling rather than a one-time query. getrefine.aimentionscout.com

My recommendation: if you're a reasonably large product/company and this is becoming a real marketing KPI, start with Profound. If you want something substantially simpler/less enterprise-heavy, I'd test Peec AI and Otterly head-to-head.

If you tell me your product category, roughly how many competitors you have, and your monthly budget, I can narrow this to the 2–3 best tools and compare their current pricing, AI engines, prompt limits, and competitor/share-of-voice capabilities.

If your goal is “how often does our product appear in AI answers vs. competitors?”, you’re looking for AI visibility / AEO (Answer Engine Optimization) tracking software, not traditional SEO rank trackers. These tools usually measure:

• Share of voice: % of relevant AI answers that mention your product
• Competitive mentions: when rivals appear and you don’t
• Position/ranking inside answers (e.g., #1 recommendation vs. a passing mention)
• Citations/sources AI models rely on
• Sentiment and positioning (how the AI describes you)
• Prompt-level tracking (“best CRM for startups,” “alternatives to X,” etc.) slatehq.combuiltin.com

My shortlist:

A practical buying recommendation:

• Startup / small product team: start with Peec AI, Otterly.AI, or a lightweight tracker. You mainly need “are we showing up, and who beats us?” slatehq.combuiltin.com
• B2B SaaS with serious content investment: look at Profound, Semrush, or Ahrefs. You’ll want citation analysis and links between AI mentions and content strategy. www.elmohq.combuiltin.com
• Large consumer brand: prioritize enterprise platforms that can monitor thousands of prompts and competitors across multiple AI engines. www.reddit.com

Before buying, I’d test each tool with a fixed prompt set like:

1. “Best [category] tools for [persona]”
2. “[Competitor] alternatives”
3. “Compare [your product] vs [rival]”
4. “What should a company use for [use case]?”

Then compare:

• mention rate
• average rank
• competitor overlap
• citations driving recommendations
• change over time

One caution: AI answers are stochastic, so a good platform should run many prompts repeatedly rather than treating one ChatGPT response as a ranking signal. www.reddit.com

If you tell me your product category, company size, and whether you care more about ChatGPT/Gemini/Perplexity or Google AI Overviews, I can narrow this to 2–3 best fits.

Yes — this is now a distinct category usually called AI visibility / AI search visibility / GEO tracking. For your specific goal—“How often does our product appear in AI answers, and how does that compare with competitors?”—I’d shortlist these:

My pick: Peec AI

For the question you asked, Peec AI looks particularly well aligned. It explicitly calculates:

• Visibility: percentage of AI responses mentioning your product
• Share of voice: your mentions versus competitors
• Position: where your product appears in the answer
• Sentiment: how positively/negatively it's described
• Sources/citations: which websites are influencing the AI answers
• Prompt-level comparisons: e.g. “best project management software,” “alternatives to X,” “X vs Y,” etc. peec.ai

It currently covers ChatGPT, Google AI Overviews, Google AI Mode, Perplexity, Gemini and Copilot, with additional models available on higher tiers. peec.ai

The particularly useful distinction is that it tracks brand visibility separately from source visibility. So you can discover cases where AI cites your website but doesn't actually mention your brand—or mentions your brand without citing your site. docs.peec.ai

When I'd choose Profound instead

If you're a larger marketing/SEO organization, I'd seriously evaluate Profound. Its competitive analysis includes co-mentions, topic clusters and mention-position analysis, and its Share of Voice metric explicitly compares your mentions against competitors. www.tryprofound.com

One important caveat

Don't judge these tools by a single “AI visibility score.” The most useful setup is a fixed prompt universe representing your actual buying journey:

100–500 prompts × 4–6 AI engines × weekly/daily measurements

Then track:

Your mention rate → competitor mention rate → share of voice → average position → recommendation rate → citation rate → sentiment

For example, if your product is mentioned in 38% of relevant AI answers while Competitor A is at 52%, that's much more actionable than simply saying your “AI score” is 71.

If you tell me what your product does + roughly how many competitors you want to track + your budget, I can narrow this to the best 2–3 tools and compare their current pricing/features.

If you want to measure “how often does our product appear in AI answers vs. competitors?”, you’re looking for AI visibility / AEO (Answer Engine Optimization) tracking software. The best choice depends on whether you’re a startup, marketing team, or enterprise.

My shortlist by use case

Best overall for a serious product/marketing team:
→ Profound
Good if you need executive reporting, competitive intelligence, and a view of why competitors appear.

Best value / easiest starting point:
→ HubSpot AEO
Useful if you want a straightforward dashboard showing “we appeared in X% of tracked AI answers vs. competitor Y.” www.hubspot.comwww.hubspot.com

Best if you already have SEO tooling:
→ Semrush
Makes sense if your team already manages search rankings, content, and backlinks.

Best for SaaS/product teams doing competitive monitoring:
→ Otterly.AI or EvidentlyAEO

Metrics I’d make sure the tool provides

Don’t just track “mentions.” The useful metrics are:

• Mention rate: % of tracked prompts where your product appears
• Share of voice: your mentions ÷ all competitor mentions
• Position/ranking: whether AI recommends you first, second, etc.
• Citation sources: which websites AI models rely on when mentioning you
• Prompt-level gaps: “When users ask X, competitor A appears but we don’t”
• Sentiment/context: whether AI describes you positively, negatively, or neutrally

A practical setup is usually 50–200 high-intent buyer prompts (e.g., “best [category] software,” “alternative to [competitor],” “tools for [use case]”) tracked weekly across ChatGPT, Gemini, Perplexity, and AI search experiences.

If you share your category (SaaS, ecommerce, marketplace, B2B, etc.) and company size, I can narrow this to the 2–3 tools most likely to fit.

If your main KPI is “what % of relevant AI answers mention us vs. competitors?”, I’d shortlist these:

My recommendation

Start with Profound if this is a serious strategic initiative. It tracks visibility across ChatGPT, Gemini, Perplexity, Google AI Overviews/AI Mode and other platforms, and lets you compare competitors by prompt, topic and platform. Its metrics include % of responses mentioning you, rank/position, citation share, share of voice and sentiment. www.tryprofound.com

Peec AI is probably the one I'd demo first if you're a marketing team. Its core dashboard is almost exactly your question: visibility %, position, sentiment and share of voice versus competitors. You can also segment by model, country and prompt/topic. peec.ai

One particularly useful distinction: Peec separates brand visibility (AI explicitly names you) from source visibility (AI uses/cites your content). That's valuable because you can discover cases where competitors are being recommended while your content is actually influencing the answer—or vice versa. docs.peec.ai

Scrunch is compelling if you want monitoring to extend into optimization. It tracks presence, position, sentiment and citations, and its competitive analysis shows where rivals appear instead of you. It currently monitors nine major AI platforms. scrunchai.com

The metric I'd actually put on the dashboard

Don't just track “mentions.” I'd build an AI Share of Voice score:

AI SOV = your brand mentions ÷ total competitor + your-brand mentions

Then break it down by:

• AI engine: ChatGPT / Gemini / Perplexity / Google AI
• Prompt category: “best X,” “X alternatives,” “X vs Y,” purchase-intent queries, etc.
• Position: #1 recommendation vs. mentioned lower down
• Sentiment
• Citation share: how often your domain is cited
• Trend: week-over-week/month-over-month
• Competitor gained/lost: who is replacing whom

That gives you something much more actionable than “ChatGPT mentioned us 37% of the time.”

If you tell me your company/product category, number of competitors, and whether you're SMB/mid-market/enterprise, I can narrow this to the 2–3 tools I'd actually buy and compare their pricing/features.

Yes. What you’re looking for is usually called AI visibility / AI search monitoring / GEO tracking: software that repeatedly runs the kinds of questions your customers ask and measures whether your product appears, how prominently it appears, which competitors appear instead, and which sources the AI cites.

My shortlist

Recent comparisons consistently put Profound, Peec, and Otterly among the leading dedicated platforms. www.conbersa.ai

For your specific use case

I'd focus less on "does it mention us?" and more on whether it can calculate something like:

AI Share of Voice = our product's appearances ÷ appearances of us + competitors across a defined set of buyer questions

For example, you might track 500 prompts such as:

• "What are the best [category] products?"
• "Best [category] for enterprise companies"
• "[Competitor A] vs [your product]"
• "Alternatives to [Competitor A]"
• "Best [category] for [specific use case]"
• "What software should a [target persona] use for X?"

Then compare your product vs. 5–10 rivals on:

• Mention rate
• Average position/ranking in the answer
• Share of AI voice
• Citation rate
• Which competitors appear when you don't
• Sentiment/recommendation strength
• Which websites/sources are influencing the answers
• Performance by AI engine
• Change over time

That's important because AI answers are variable; the useful metric is generally the trend across a consistent prompt set, rather than treating one ChatGPT response as definitive. www.conbersa.ai

My recommendation

If you're a growth/marketing team: start with Peec AI or Otterly.

If you're an enterprise with a substantial GEO/AI-search budget: evaluate Profound first.

If you already pay for Ahrefs or Semrush: check their AI visibility products before buying another standalone platform.

Of those, Otterly is particularly compelling for a first implementation because it explicitly tracks your brand against competitors and currently covers ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini, Copilot and Claude, with daily monitoring. otterly.ai

One important caveat: don't choose based simply on the number of AI engines supported. I'd run the same 50–100 real buyer prompts through 2–3 vendors and compare their results. Different platforms can produce different visibility numbers because their querying, sampling, geographic settings, and model access differ.

If you tell me your product/category, roughly how many competitors you want to track, and whether you're SMB/mid-market/enterprise, I can narrow this to the best 2–3 options and compare current pricing, prompt limits, engines, API access, and competitor reporting.

The category you’re looking for is usually called AI visibility tracking, AI search monitoring, AEO (answer engine optimization) tracking, or GEO (generative engine optimization) software. These tools measure things like:

• % of prompts where your product appears
• competitor share of voice
• position/ranking in AI recommendations
• citations/sources AI models rely on
• sentiment and product descriptions
• changes over time across ChatGPT, Gemini, Perplexity, Claude, Google AI features, etc. technologyadvice.combuiltin.com

My shortlist:

My recommendation by situation:

• B2B SaaS / enterprise product: start with Profound.
• Growth-stage company trying to beat named rivals: evaluate Peec AI or Otterly.AI.
• You already pay for SEO tooling: look at Semrush or Ahrefs before adding another vendor.
• You mainly need a dashboard showing “we appeared 42% of the time vs competitor A at 68%”: prioritize dedicated AI visibility tools rather than broad SEO suites. technologyadvice.com

When evaluating, I’d insist the tool can:

1. Track your exact buyer prompts (not generic keywords).
2. Compare against your specific rivals.
3. Save the actual AI responses so you can see why you won/lost.
4. Show citation gaps (“competitor is mentioned because of these pages; you are missing”). technologyadvice.com

If you tell me your product category (e.g., SaaS, ecommerce, consumer app, marketplace) and competitors, I can narrow this to the 2–3 tools most likely to fit.

If your goal is specifically “How often does our product get mentioned/recommended by AI, versus competitors?”, I’d shortlist these:

My recommendation

1. Profound — if this is a strategic KPI

Profound is particularly strong for competitive benchmarking. Its new Profound Index uses 1.5B+ real user conversations across 50+ industries and reports metrics such as Visibility Score, Share of Voice, Mention Position, Citation Share, co-mention share, and competitor rankings. www.tryprofound.com

That's much closer to the question you're asking than simply counting mentions. For example, you can distinguish:

“Our product appears in 28% of relevant AI answers, versus Competitor A at 41%.”

from:

“We're mentioned 500 times.”

The former is much more useful for competitive strategy.

2. Peec AI — probably my favorite for a marketing team

Peec explicitly provides visibility graphs comparing your brand with competitors, brand position/sentiment, and model-level analysis across ChatGPT, Claude, and Perplexity. docs.peec.ai

It also has useful competitor/source-gap analysis: you can see domains that AI cites for competitors but not you, which turns the measurement into an actionable SEO/content/PR strategy. peec.ai

3. OtterlyAI — easiest place to start

Otterly tracks prompts daily and currently covers ChatGPT, Google AI Overviews, Google AI Mode, Perplexity, Gemini, Microsoft Copilot, and Claude. It provides brand coverage and competitor comparisons, and you can track your own brands and competitor brands in the same system. help.otterly.ai

Its dashboard is particularly oriented around exactly the metric you described: “Me + Top 5 competitors” and brand coverage over time. otterly.ai

What I'd measure

Don't just track raw mentions. I'd build your dashboard around:

• AI Share of Voice — % of relevant responses mentioning your product
• Mention rate — % of tracked prompts where you appear
• Rank/position — whether you're #1 recommendation, #3, etc.
• Competitor displacement — prompts where a rival appears but you don't
• Recommendation sentiment — recommended vs. merely mentioned
• Citation share — how often your site/content is actually cited
• Model split — ChatGPT vs. Gemini vs. Perplexity vs. Google AI
• Prompt/category split — e.g. “best X,” “X alternatives,” “X for enterprise,” etc.

If I were buying today: I'd demo Profound and Peec side-by-side, then try Otterly as the lower-complexity alternative. For an enterprise product where AI visibility is becoming a major acquisition channel, Profound is my first choice; for a leaner marketing team, Peec is probably the sweet spot. technologyadvice.com

If your goal is specifically “how often does our product appear in AI answers vs. competitors?”, you’re looking for an AI visibility / GEO (Generative Engine Optimization) tracking platform, not traditional SEO software. These tools monitor prompts, AI-generated answers, brand mentions, citations, and competitive share of voice. www.capterra.com

Here are the strongest options:

What I’d pick by situation

• Large product company / enterprise marketing: Profound
• SEO team that already pays for a suite: Ahrefs or Semrush
• B2B SaaS or demand gen team: HubSpot AEO
• Need a focused AI-answer monitoring dashboard: Otterly.AI or Scrunch
• Early experimentation: Start with a free visibility checker such as Ahrefs’ AI visibility checker, then move to a paid tracker once you know your priority prompts. ahrefs.comtechnologyadvice.com

Before buying, make sure it can answer these questions:

1. For our top 100 buyer prompts, how often is our product mentioned?
2. Which competitors appear when we don’t?
3. Are we recommended, merely mentioned, or cited as a source?
4. Which websites/content pieces cause competitors to win AI mentions?
5. Is our visibility improving month over month?

The key metric is usually AI share of voice: the percentage of relevant AI answers where your brand appears compared with rivals, not just raw mention count. www.hubspot.com

For most product teams today, I’d shortlist Profound vs. Ahrefs Brand Radar vs. HubSpot AEO and run the same 50–100 high-intent prompts through each before committing. technologyadvice.com

If your core question is “How often does our product get recommended by AI vs. competitors?”, I’d shortlist these:

My recommendation

1. Profound — best if this is strategically important

Profound has particularly strong competitive benchmarking. Its Visibility Score, Share of Voice, Mention Position, Citation Share, and Co-mention Share are designed to answer exactly the question you're asking. Its newer Profound Index is based on a very large dataset of real user conversations and lets you benchmark your category. www.tryprofound.com

Profound

2. OtterlyAI — my pick for most teams

Otterly is probably where I'd start if you want something you can deploy quickly. You define a library of customer-relevant prompts, and it monitors them across AI engines, measuring brand coverage, mentions, citations, sentiment, and competitors. It also explicitly reports share of AI voice. otterly.ai

It currently supports monitoring across ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini, Claude, and Copilot. help.otterly.ai

OtterlyAI

3. Peec AI — worth testing alongside Otterly

Peec is very focused on this exact use case: visibility %, position, sentiment, share of voice, competitor comparisons, and prompt-level tracking. It also categorizes prompts by intent, which is useful if you want to distinguish “best X software” from branded or informational searches. peec.ai

Peec AI

What I'd actually measure

Don't just track raw mentions. I'd build your dashboard around:

• AI Share of Voice: your mentions ÷ all competitor mentions
• Recommendation rate: % of relevant prompts where you're recommended
• Average position: #1 vs. #3 vs. #7 in the AI answer
• Competitor win rate: prompts where competitor appears and you don't
• Citation share: how often your domain is actually cited
• Sentiment / recommendation strength
• Prompt-level changes over time
• Engine-level differences: ChatGPT vs. Gemini vs. Perplexity, etc.

That's important because “mentioned once” and “AI recommends us as the best option” are very different outcomes.

Bottom line: I'd trial OtterlyAI and Profound side-by-side. If you're a mid-market marketing team, I'd lean OtterlyAI; if this is a major enterprise brand/SEO initiative and you need deeper competitive intelligence, I'd lean Profound. A 2026 comparison of AI-search monitoring products also puts Profound and OtterlyAI among the leading options alongside Scrunch, ZipTie, AthenaHQ, Ahrefs, SE Ranking, and Semrush. technologyadvice.com

If you tell me what kind of product you sell + roughly how many competitors you want to track, I can narrow this down to the 2–3 tools I'd actually buy and compare their pricing/features.

If your core question is “How often does our product get mentioned/recommended in AI answers vs. competitors?”, I’d shortlist these:

🥇 My pick: Scrunch

Scrunch

Scrunch is unusually well aligned with the question you're asking. It tracks your brand and competitors across AI platforms, including ChatGPT, Claude, Gemini, Perplexity, Google AI Mode/AI Overviews, Meta AI and Microsoft Copilot. It can show:

• Share of AI answers mentioning you vs. rivals
• Which prompts produce competitor mentions but not yours
• Your position within responses
• Which sites/sources are being cited when competitors appear
• Sentiment toward each brand
• Trends over time
• Full underlying AI responses, rather than just a mysterious visibility score scrunch.com

That last point is particularly important. “We're mentioned in 37% of responses” isn't very actionable by itself. You want to be able to click into the 63% where you aren't mentioned and see who is winning, what the prompt was, and which sources the AI relied on.

🥈 Peec AI

Peec AI

Peec is a strong choice if you primarily want a clean AI visibility / share-of-voice dashboard. It explicitly measures visibility, position, sentiment and share of voice against competitors, and lets you select the AI models most relevant to your category. peec.ai

I'd lean Peec over Scrunch for simplicity, and Scrunch over Peec for competitive diagnosis.

🏢 Profound

Profound

I'd investigate Profound if you're a larger marketing/SEO organization and want a more comprehensive GEO/AEO intelligence platform, rather than just a visibility tracker. Recent industry discussions consistently put Profound among the more established players in this category. www.reddit.com

One important caveat

Don't treat an AI visibility number like a Google ranking.

AI responses are probabilistic: the same prompt can produce different answers on different runs, and small prompt changes can alter the sources and brands selected. Recent research specifically recommends treating AI visibility as a distribution measured through repeated observations, rather than a single deterministic rank. arxiv.org

So I'd prioritize a platform that lets you track a fixed, representative prompt set repeatedly.

What I'd measure

For your product, I'd build the dashboard around:

1. Mention rate
% of relevant AI responses mentioning your product

2. Competitive share of voice
your mentions / (your mentions + competitor mentions)

3. Recommendation rate
% of responses actually recommending your product

4. Average position
When multiple products are recommended, where do you appear?

5. Citation share
How frequently is your website/content cited vs. competitors?

6. Competitive displacement
Prompts where Competitor X appears but you don't.

7. Prompt-level win rate
For example:

“What are the best [category] tools for a 50-person company?”

Then track whether you're #1/#2/#3/not mentioned across repeated runs.

8. Unprompted vs. branded visibility
This is crucial. “Is Product X good?” tells you much less than “What are the best products for X?” A recent community example found that branded prompts can dramatically inflate apparent visibility. www.reddit.com

Bottom line: I'd trial Scrunch + Peec against the same 100–300 customer-intent prompts. If your primary objective is specifically “Are we appearing more often than our rivals, and why aren't we appearing when they are?”, I'd choose Scrunch. scrunch.com

Yes. What you’re looking for is usually called AI visibility, AI search visibility, or GEO (Generative Engine Optimization) tracking: software that repeatedly runs relevant prompts and measures whether your product appears, where it ranks, how it’s described, and which competitors are being recommended instead.

My shortlist

Current 2026 comparisons generally put Profound at the enterprise end, Peec in the mid-market, and Otterly as the accessible standalone option. getrefine.ai

For your specific use case

I'd probably start with Peec AI or Otterly unless you're a large enterprise.

The key metrics I'd want are:

• Mention rate: % of relevant prompts where your product appears
• Share of voice: your appearances vs. competitors
• Position/rank: whether you're #1, #2, etc. in recommendations
• Recommendation rate: how often the AI actually recommends you
• Competitor overlap: prompts where rivals appear but you don't
• Citation/source share: which websites/content are causing the AI to recommend each product
• Sentiment/attributes: why the AI recommends you — price, quality, features, reliability, etc.
• Model-by-model performance: ChatGPT vs. Gemini vs. Perplexity vs. Claude, etc.

One important caveat: don't treat a single prompt run as a precise market-share number. AI answers are stochastic; research published in 2026 shows substantial variability between repeated runs, so a good platform should aggregate many observations over time. arxiv.org

If you tell me your product category, approximate company size, and whether you're already using Semrush/Ahrefs, I can narrow this to the 2–3 tools I'd actually buy and compare their current pricing/features.

If your goal is specifically “How often does our product appear in AI answers, and how does that compare with competitors?”, you’re looking for an AI visibility / GEO tracking platform—not a generic brand-monitoring tool.

My shortlist

These are among the main AI-search monitoring platforms being compared in 2026. technologyadvice.com

🥇 I'd start with Peec AI

Peec AI

It maps particularly closely to what you're asking for. It measures:

• Visibility — percentage of AI responses mentioning your brand
• Position — where your product ranks in the generated answer
• Share of voice — your mentions versus competitors
• Sentiment
• Which prompts cause you to appear
• Which competitors outrank you
• Which third-party sources AI systems are using/citing

It also lets you track prompts by intent, which is important because “Does [our product] exist?” is much less useful than questions such as “What are the best [category] products?” or “[Product A] vs [Product B]”. peec.ai

When I'd choose the others

Profound — I'd investigate this if you're an enterprise marketing/SEO organization and want deeper AI-search intelligence rather than simply a rank tracker. It is frequently included among the leading enterprise-oriented AI-search platforms. technologyadvice.com

Otterly AI — good choice if you mainly want a relatively lightweight dashboard answering “Are we showing up, for which prompts, and how are competitors doing?” rather than a huge enterprise platform.

Semrush — compelling if your team already lives in Semrush. Recent comparisons put its AI visibility functionality alongside Profound, Otterly, Scrunch, Ahrefs, and others. technologyadvice.com

Ahrefs Brand Radar — similarly attractive if Ahrefs is already part of your workflow, because you can connect AI visibility with your broader SEO/brand research.

One important caveat

Don't judge these tools solely by a single “AI visibility score.” AI responses vary between runs, models, locations, personalization, and time. More importantly, research suggests that discovery queries (“best products in X”) can produce dramatically different visibility from branded queries, so your prompt set needs to reflect actual buying journeys. arxiv.org

For your use case, I'd build a benchmark around perhaps 100–500 high-value prompts, with categories such as:

1. Category discovery: “best X software”
2. Problem-based: “software for solving X”
3. Comparison: “X vs Y”
4. Alternative: “alternatives to Competitor A”
5. Recommendation: “what should a company like X use?”
6. Buying intent: “best X for [specific use case]”

Then track mention rate + position + share of voice + citations for you and 5–10 competitors.

Bottom line: If you're buying specifically for this job, I'd demo Peec AI, Profound, and Otterly AI side-by-side. Peec would be my first demo because its core metrics map almost exactly to “how often are we mentioned versus rivals?” peec.ai

If you tell me your product category, approximate company size, and budget/month, I can narrow this to the best 2–3 tools and compare their current pricing/features.

Yes — you’re looking for an AI search visibility / GEO tracking platform: something that repeatedly asks ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews/AI Mode, etc. relevant questions and measures your brand’s mentions, citations, position, and share of voice versus competitors.

My shortlist

Current 2026 comparisons generally put Profound toward the enterprise/depth end, Peec in dedicated AI-search analytics, and Otterly as the easier/lightweight option. cited.md

What I'd choose

If your primary question is literally “How often does our product get recommended vs. Competitor A/B/C?” → start with Otterly and Peec.

Otterly is particularly explicit about this use case: you create a library of realistic customer prompts, it runs them across multiple AI engines, identifies which brands appear and in what context, and reports brand coverage over time. It currently advertises pricing starting at $29/month. otterly.ai

If this is a serious strategic KPI for a larger marketing team → evaluate Profound. It is more geared toward deep enterprise analysis rather than simply giving you a visibility score. cited.mdgetrefine.ai

One important caveat: don't over-trust a single “AI share of voice” number. AI responses are stochastic, so the same prompt can produce different brands and citations on repeated runs. Recent research specifically argues that AI visibility should be treated as a distribution with uncertainty rather than a precise point estimate. arxiv.org

The metric I'd actually build around

For each important customer question, track:

Prompt → AI engine → Was our product mentioned? → Position → Competitors mentioned → Citation/source → Sentiment/reason given → Date

Then aggregate into:

• Mention rate: % of answers mentioning you
• Recommendation rate: % where you're actually recommended
• Share of voice: your mentions ÷ all tracked-brand mentions
• Average position: where you appear in the answer
• Citation share: how often your site/content is cited
• Competitor displacement: prompts where a rival appears but you don't
• Trend: all of the above over weeks/months

That last metric — “where is a competitor getting recommended instead of us, and what sources caused it?” — is arguably more useful than a generic visibility score. Community practitioners also flag prompt-level competitor/source analysis as one of the biggest differentiators between these tools. www.reddit.com

If you tell me your product category + roughly how many competitors you want to track + whether you're SMB or enterprise, I can narrow this to the 2–3 tools I'd actually buy and compare their current pricing/features.

If your goal is specifically “How often does our product appear in AI answers, and how does that compare with competitors?”, I’d shortlist these:

My recommendation

Start with Otterly if you want a relatively straightforward dashboard showing:

• % of AI responses mentioning your product
• Share of Voice vs. competitors
• which prompts produce mentions
• which AI engines mention you — ChatGPT, Gemini, Perplexity, Google AI Overviews/AI Mode, Copilot, etc.
• citations and source URLs
• changes over time
• competitor comparisons

Its current dashboard explicitly supports “me + competitors” comparisons and reports brand mentions across multiple AI engines. Pricing currently starts at $29/month, according to its site. otterly.ai

Move to Profound if you're a larger organization and want much deeper analysis of why competitors are winning—particularly citation/source analysis and enterprise-scale tracking. Recent comparisons consistently position Profound toward the enterprise end of the market. www.trylyra.ai

Consider Scrunch if the important question is not merely “What's our score?” but “Where are competitors appearing and we're not?” Scrunch specifically supports competitor filtering, prompt-level analysis, citation analysis, and alerts when competitors appear without your brand. scrunch.com

One important caveat

Don't over-focus on a single “AI visibility score.” The prompt set is arguably more important than the dashboard. You want prompts that represent actual buying/research questions, such as:

“Best [product category] for a 50-person company?”

“[Product A] vs [Product B]”

“Alternatives to [competitor]”

“Best [category] for [specific use case]”

Then compare mention rate + position + sentiment + citations + competitor presence over time.

If you tell me your product category, approximate company size, and monthly budget, I can narrow this to the 2–3 tools I'd actually trial and compare their pricing/features.

If your main KPI is “How often does our product get recommended by AI vs. competitors?”, you’re looking for an AI visibility / AEO / GEO tracking platform. These tools repeatedly run relevant prompts and measure mentions, rankings, citations, sentiment, and competitive share of voice. getrefine.aiotterly.ai

My shortlist

1. Profound — my pick if this is strategically important.
It's built specifically around AI-search visibility and gives you a deeper view of how frequently brands appear, what competitors are being recommended, and which sources AI systems rely on. Current comparisons consistently position it toward enterprise users. getrefine.aiwww.conbersa.ai

2. Peec AI — probably the sweet spot.
I'd choose this for a typical growth/SEO/content team that wants a dedicated dashboard rather than buying a large enterprise platform. It focuses on mentions, citations, competitors, prompts, and visibility trends. getrefine.aiwww.conbersa.ai

3. Otterly.ai — best way to start cheaply.
It explicitly tracks share of voice against competitors, brand coverage, citations and platform-by-platform visibility, and offers an API if you eventually want to pipe the data into your own BI system. getrefine.aiotterly.ai

4. Ahrefs Brand Radar — interesting methodological advantage.
Rather than relying entirely on manually invented AI prompts, Ahrefs builds questions from its real keyword database and then measures AI responses. That makes it particularly interesting if you already have substantial SEO/search data. www.techradar.com

What I'd measure

Don't just track “brand mentioned: yes/no.” For a product-vs-rivals analysis, I'd want:

• Mention rate: % of relevant prompts where you're mentioned
• Recommendation rate: % where you're actually recommended
• Share of voice: your mentions ÷ all competitor mentions
• Position: #1/#2/#3 recommendation position
• Competitor displacement: prompts where a rival appears but you don't
• Citation rate: how often AI links to your site/content
• Sentiment / positioning: “best for X,” “expensive,” “easy to use,” etc.
• Engine breakdown: ChatGPT vs. Gemini vs. Perplexity vs. Claude vs. Google AI
• Trend: all of the above over weeks/months

One important caveat: these numbers are measurement proxies, not a census of what real users ask AI. AI responses are stochastic, and vendors differ in their prompt sets and methodologies. That's why I'd compare tools based on the quality and transparency of their prompt methodology, not just their headline “visibility score.” www.techradar.com

My recommendation

If you're choosing one:

• Enterprise / large competitive program → Profound
• Most marketing teams → Peec AI
• Small team / testing the category → Otterly.ai
• Already paying for Ahrefs → try Brand Radar first
• Already paying for Semrush → use its AI Visibility tooling

If you tell me your product category, ~number of competitors, and whether you're SMB/mid-market/enterprise, I can narrow this to the 2–3 best options and compare their current pricing, AI engines, prompt limits, and competitor/share-of-voice capabilities.

If your goal is specifically "How often does ChatGPT, Gemini, Claude, Perplexity, and Google AI recommend us versus our competitors?", you're looking for the emerging category of AI visibility or Generative Engine Optimization (GEO) platforms rather than traditional SEO tools.

Here's how I'd break down the current market:

If you're an enterprise (>$50M revenue)

I'd look first at:

• Astiva AI
• BrandVisibility.ai
• Semrush One (if you're already invested in Semrush)

These tend to provide:

• AI Share of Voice
• competitor benchmarking
• citation/source tracking
• historical trends
• prompt libraries
• recommendations for improving visibility

If you're a startup or SaaS company

Good balance of cost and functionality:

• BrandBeacon
• MeasureLLM
• Prism

These typically let you monitor:

• "Recommend CRM software"
• "Best payroll software"
• "Alternatives to X"

...and report how frequently your company appears versus competitors.

Features I'd consider essential

Whichever platform you choose, I would insist on:

• Support for ChatGPT, Gemini, Claude, Perplexity, and Google AI Overviews/AI Mode
• Custom prompt tracking
• Competitor comparison
• Share of voice over time
• Citation/source tracking
• Geographic variation
• Scheduled daily or weekly measurements
• API or CSV export
• Alerting when visibility changes

One important caveat

AI responses are probabilistic: the same prompt can produce different answers over time. The strongest platforms don't measure a prompt once—they run it repeatedly across models and over time to estimate your true visibility rather than relying on a single result. Recent research argues this repeated sampling is necessary for meaningful benchmarking. arxiv.org

If you can share:

• your industry (e.g. cybersecurity, HR software, ecommerce),
• roughly how many competitors you want to track, and
• your budget (e.g. <$500/month, $500–2k/month, enterprise),

I can narrow it down to the 2–3 platforms that fit your use case best.

If your goal is "How often does ChatGPT, Claude, Gemini, Perplexity, etc. recommend our product vs. competitors?", you're looking for the emerging category called AI visibility, LLM brand monitoring, or Answer Engine Optimization (AEO).

Here's how I'd break down the market.

1. SignalKit — best value

Good if you're a SaaS company wanting answers quickly.

It tracks:

• Share of voice across major LLMs
• Which prompts mention your brand
• Competitor comparisons
• Sentiment
• Which URLs the AI cited
• Alerts when rankings change

It also generates prompts automatically based on your company, which saves a lot of setup. signalkit.ai

2. OpenLens — best for agencies or larger marketing teams

Strong features include:

• Side-by-side competitor comparisons
• Visibility across seven AI platforms
• Citation intelligence
• Attribute-level comparisons (price, quality, ease of use, etc.)

Good if you're monitoring multiple brands or clients. openlens.com

3. Siftly — strongest analytics

Instead of simply asking "Were we mentioned?", it measures:

• Mention frequency
• Ranking within answers
• Sentiment
• Citation quality
• Competitor benchmarking

It breaks responses into structured metrics that marketing teams can trend over time. www.siftly.ai

4. Genoma

More focused on improving AI visibility than just reporting it.

It:

• Runs thousands of prompts
• Benchmarks competitors
• Suggests content improvements
• Monitors ongoing AI share of voice

Useful if your team wants optimization recommendations alongside tracking. www.genomahq.com

5. Meltwater GenAI Lens

If your company already uses Meltwater for media monitoring, this is an easy addition.

It compares:

• Brand visibility
• Competitor visibility
• AI share of voice
• Citation sources

and refreshes data regularly. www.meltwater.comwww.techradar.com

6. Elmo (open source)

If you have engineering resources, Elmo is interesting because you can self-host it.

It tracks:

• ChatGPT
• Gemini
• Google AI Overviews
• Copilot
• Perplexity
• Grok

along with competitors and citations. www.elmohq.com

If you're already using SEO platforms

Several established SEO vendors now include AI visibility features:

• Semrush AI Visibility Toolkit
• Ahrefs Brand Radar
• HubSpot AEO

These are especially attractive if you're already paying for those platforms because they combine traditional SEO with AI recommendation tracking. www.techradar.com

What to measure

The most useful dashboards track more than raw mention counts. I'd recommend monitoring:

• AI share of voice (your mentions vs. competitors)
• Position in recommendation lists (1st, 2nd, 3rd, etc.)
• Sentiment
• Prompt categories (pricing, enterprise, SMB, integrations, alternatives)
• Citation sources (which websites AI relies on)
• Changes over time after product launches or content updates

My recommendations

• Startup (<$10M ARR): SignalKit
• Growth SaaS: Genoma or Siftly
• Large enterprise: Meltwater GenAI Lens or OpenLens
• Engineering-heavy team: Elmo (self-hosted)
• Already using Semrush, Ahrefs, or HubSpot: Start with their built-in AI visibility tools before buying a dedicated platform. www.meltwater.comwww.techradar.com

One important caveat: no tool can measure all AI conversations. They rely on large, repeatable sets of prompts run across multiple models, so the metrics are best interpreted as a consistent benchmark over time rather than an exact count of every user query. Comparing trends—your visibility versus competitors using the same prompt set—is generally more reliable than focusing on absolute percentages.

What you're looking for is generally called AI share of voice (AI SOV) or LLM brand monitoring. These platforms repeatedly run thousands of prompts across ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews, and similar systems, then measure:

• How often your brand is mentioned
• How often competitors are mentioned
• Whether you're recommended first
• Which sources/citations the AI relied on
• How your visibility changes over time

Here are the strongest options today:

| Tool | Best for | Strengths |

A new category of software has emerged specifically for this use case, often called AI visibility, LLM visibility, or Generative Engine Optimization (GEO) platforms. These tools monitor prompts across ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews, Copilot, and similar systems to answer questions like:

• How often is our product recommended?
• Which competitors appear more often?
• For which prompts do we win or lose?
• Which sources or websites are AI models citing?

Here are the strongest options depending on your needs:

If you're a startup (<$20M ARR)

I'd look at:

1. Otterly AI — lowest-cost way to start tracking.
2. Peec AI — probably the best balance of features and price.
3. Semrush AI Visibility — if your marketing team already lives in Semrush.

If you're a larger B2B company

Profound is generally considered the enterprise leader because it offers:

• AI share of voice
• Competitor benchmarking
• Thousands of tracked prompts
• Citation/source analysis
• Trend reporting over time
• Team dashboards and alerts

It is built for companies that want AI visibility to become a KPI rather than an occasional report. www.datadab.comwww.conbersa.ai

What features matter most

The best platforms don't just count mentions. They should provide:

• Share of voice versus competitors
• Prompt-level reporting (which exact questions you win or lose)
• Coverage across ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews, and Copilot
• Citation/source tracking (what websites influenced the answer)
• Historical trends
• Alerts when visibility changes
• Exportable reports for marketing teams

One important caveat

Unlike Google rankings, AI responses are probabilistic. The same prompt can produce different answers across runs, models, locations, or user context. Good platforms account for this by sampling many prompts over time and reporting trends rather than treating a single response as definitive. www.datadab.com

If you tell me:

• your industry (e.g. cybersecurity, HR software, ecommerce),
• approximate company size, and
• whether you're focused on consumer or B2B buyers,

I can narrow this down to the 2–3 tools that are likely to fit your team best.

If you're trying to measure AI visibility—how often your brand or product is mentioned in responses from ChatGPT, Gemini, Claude, Perplexity, and other AI assistants—you'll want a platform in the emerging "AI search optimization" or "LLM visibility" category.

Here's a comparison of some of the strongest options:

If you're an enterprise

Profound is one of the leaders in this category. It focuses on:

• Share of voice across AI assistants
• Competitor benchmarking
• Which prompts mention your brand
• Citation/source analysis
• Trends over time
• Executive dashboards

This is well suited if AI-generated answers are becoming an important acquisition channel.

If you're an SEO or content team

Peec AI and Goodie AI are strong choices because they combine traditional SEO thinking with AI answer visibility:

• Measure whether AI recommends your product
• Compare against competitors
• Identify missing topics
• Monitor improvements after publishing new content

If you're a startup or SMB

Otterly.AI generally has a lower barrier to entry and covers the essentials:

• Scheduled prompt testing
• Brand mentions
• Competitor tracking
• Historical trends

What to look for

The best platforms don't just count mentions—they let you answer questions like:

• How often is our product recommended versus Competitor A?
• Which prompts do we win or lose?
• Which AI models recommend us most?
• Which sources are the AI citing?
• Has our visibility changed after new content or PR?
• Can we monitor hundreds or thousands of prompts automatically?

A practical recommendation

• Best overall (enterprise): Profound
• Best for SEO teams: Peec AI
• Best balance of features and usability: Goodie AI
• Best budget option: Otterly.AI
• Best for large organizations needing governance and analytics: Scrunch AI

One note: this space is evolving quickly. AI models are nondeterministic, so these tools typically run prompts repeatedly over time and across multiple models to estimate "share of voice" rather than treating a single response as definitive.

If you can share:

• your product category (e.g. SaaS, cybersecurity, ecommerce, developer tools),
• company size, and
• approximate budget,

I can narrow the list to the 2–3 tools that are likely to fit your needs best.