ChatGPT answers, unedited

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.

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 |

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.

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.

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.