ChatGPT answers, unedited

If you mean “what percentage of AI-generated answers mention/recommend my brand versus competitors?”, you’re looking for an AI visibility / AI Share of Voice (SOV) tracker, rather than a traditional SEO rank tracker.

A few tools that specifically support this:

• CitedSpy — tracks ChatGPT, Perplexity, Gemini, Copilot, and Google AI Mode, with competitor share-of-voice, mention rate, rankings, and citation sources. CitedSpy CitedSpy
• Depra AI — tracks buyer questions across ChatGPT, Gemini, Perplexity, and Google AI Overviews, including competitor visibility, position, sentiment, citations, and SOV. Depra AI
• Brand Auditor — explicitly compares AI SOV and citation profiles across ChatGPT, Gemini, Perplexity, and Google AI Mode, including per-keyword and per-platform breakdowns. Brand Auditor
• Foglift — useful if you want an auditable methodology: it stores the prompts, answers, competitors, citations, and measurement window behind the SOV number. Foglift
• Rankseer — focuses on AI SOV across ChatGPT, Perplexity, and Gemini, with competitor comparison and citation-gap analysis. Rankseer

What I'd measure

Don't rely on a single “AI visibility score.” For competitive benchmarking, I'd track:

The last point matters because AI answers vary substantially by engine, so a blended number can hide important differences. Foglift Depra AI

If you're choosing one for a brand/marketing team, I'd shortlist CitedSpy, Depra, and Foglift and compare their actual prompt coverage, engine coverage, historical data, API/export capabilities, and pricing. If you tell me your industry + approximate number of competitors + whether you care about ChatGPT only or all major AI engines, I can narrow it down to the most suitable tools.

Yes. For this specific use case, look at AI visibility / AI search monitoring platforms rather than traditional SEO tools.

A few current options:

• Brand Auditor — tracks AI share of voice against competitors across ChatGPT, Gemini, Perplexity, and Google AI Mode. Brand Auditor
• SearchDock — measures share of voice across ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews, with historical tracking. SearchDock
• LLM Pulse — specifically provides competitive AI share-of-voice tracking across multiple major AI platforms. LLM Pulse
• Seerly — tracks live AI responses and shows competitor share by prompt and engine. Seerly
• CitedSpy — useful for a quick check across ChatGPT, Perplexity, Gemini, Copilot, and Google AI Mode. CitedSpy

What I'd measure: percentage of tracked buyer prompts where you're mentioned, your position/prominence, competitor mentions, cited sources, and trends by AI engine—not just one aggregate score. This matters because AI answers vary considerably by model and prompt. foglift.io

If you tell me your brand + 3–5 competitors + industry, I can suggest which of these fits your measurement needs.

If by share of voice you mean “how often does my brand get mentioned/recommended in AI answers compared with competitors?”, there are now dedicated AI visibility / GEO platforms for this.

A few worth looking at:

• otterly.ai — particularly straightforward for this use case. It tracks mentions, citations, sentiment and share of voice across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude, with competitor benchmarking. Otterly
• tryprofound.com — more enterprise-oriented AI-search/AEO measurement and competitive intelligence.
• peec.ai — focused on AI-search visibility and competitive share-of-voice measurement.
• seerly.app — tracks live prompts and gives per-engine visibility and competitor SOV views. Seerly
• foglift.io — emphasizes auditable prompt-level evidence behind the SOV number, including prompts, answers, competitors and cited URLs. Foglift

What I'd measure

Don't use a single “AI visibility score.” For each fixed set of buyer prompts, track:

1. Mention rate — % of answers mentioning your brand.
2. Share of voice — your brand mentions ÷ all tracked brand mentions.
3. Recommendation position — first recommendation vs. later in the answer.
4. Citation rate — how often the AI cites your website/content.
5. Competitor SOV — the same metrics for each major competitor.
6. Engine-by-engine SOV — ChatGPT vs. Perplexity vs. Gemini vs. Claude, etc.
7. Prompt/category SOV — e.g. “best X,” “X alternatives,” “X for enterprise,” rather than one blended number.

That distinction matters because being mentioned and being cited are different things, and combining different prompt sets or engines can make the resulting percentage misleading. Otterly Foglift

If you're choosing one specifically for competitive SOV, I'd start by testing Otterly, Profound, and Peec against the same 50–100 prompts. The category is evolving quickly, and methodologies differ enough that vendor-reported SOV numbers aren't necessarily directly comparable. aeoforged.com conbersa.ai

If you tell me your industry + 3–5 competitors, I can also lay out a concrete prompt set and the exact SOV calculation I'd use.

If you mean “what % of AI-generated answers mention/recommend my brand vs. competitors?”, you want an AI visibility / AI search analytics platform, not traditional SEO rank tracking.

My shortlist

• otterly.ai — probably the best straightforward fit. It tracks share of voice, brand mentions, sentiment, citations, and competitors across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot, and Claude. Otterly Otterly
• semrush.com — good if you're already using Semrush. Its Brand Performance reporting calculates AI SoV using both mention frequency and position, and benchmarks you against competitors. Semrush
• Profound — worth considering for enterprise-grade monitoring, especially if you need granular prompt, source, citation, and competitive analysis. Independent 2026 benchmarking also places it among the leading platforms. Benchline Reports Tomek Sikora
• Peec AI — particularly interesting if competitive share-of-voice analysis is the main objective; a 2026 benchmark specifically identified it as strong on competitive SoV. Benchline Reports

What I'd measure

Don't use just “mentions.” I'd build an AI SoV dashboard around:

AI Share of Voice → Brand Coverage → Recommendation/Position → Sentiment → Citations → Competitor Gap

For example:

Across 1,000 category prompts, Brand A appears in 31% of answers, Competitor B in 24%, Competitor C in 18%, etc.

Then break that down by AI engine, prompt/topic, country, competitor, and time period. This is important because AI answers are dynamic, so a one-off manual test isn't a reliable measurement. Semrush Cognizo

If I had to pick one to test first: OtterlyAI. It is unusually explicit about the exact metric you're asking for—share of AI answers naming your brand versus competitors—and provides the underlying mention/citation data rather than just a generic “AI visibility” score. Otterly

If you tell me your industry + 3–5 competitors + whether you're SMB/mid-market/enterprise, I can also give you a side-by-side comparison of the best 3 tools for your specific use case.

Yes. What you’re describing is usually called AI Share of Voice (AI SOV) or AI visibility tracking: measuring how often your brand is mentioned/recommended/cited in AI answers relative to competitors.

A few tools currently built for this:

• semrush.com — a strong choice if you already use Semrush; its AI visibility tooling includes brand-performance/share-of-voice measurement. Reddit
• rankzero.io — specifically tracks your brand versus competitors across ChatGPT, Perplexity, Gemini/Google AI and Claude, including SOV by prompt and engine. RankZero
• seerly.app — particularly useful for an engine-by-engine view of visibility and competitor SOV over time. Seerly
• foglift.io — focuses directly on SOV, retaining the underlying prompts, answers, competitor mentions, and citations so you can audit the score. Foglift
• searchdock.io — emphasizes repeat/multi-pass measurements and separate SOV trends for ChatGPT, Perplexity, Gemini, Claude and Google AI Overviews. SearchDock

What I'd look for

Don't choose a tool merely because it gives you an "AI visibility score." For competitive SOV, you want:

1. Fixed buyer-intent prompts — e.g. "best X for enterprise," "X alternatives," "X vs Y."
2. Repeated runs — AI answers are probabilistic, so one query/run can be misleading. OrganiKPI Verity Score
3. Competitor-level SOV — your % alongside each competitor, not just your own visibility.
4. Per-engine reporting — ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews, etc. Their results can differ substantially. Foglift
5. Mention + citation + position — being mentioned first is considerably more valuable than appearing buried in an answer. Sona
6. Historical tracking — so you can tell whether your SOV is actually increasing after GEO/PR/content initiatives.

If your primary goal is specifically "What percentage of the AI conversation do we own versus Competitor A/B/C?" I'd shortlist RankZero, Seerly, Foglift, and Semrush first. If you tell me your industry, number of competitors, and whether you care more about ChatGPT or all major AI engines, I can narrow it to the best 2–3 options.

If you want to measure your brand’s share of voice (SOV) inside AI assistant answers (ChatGPT, Claude, Gemini, Perplexity, etc.) versus competitors, you’re looking for an AI visibility / generative engine optimization (GEO) monitoring tool. These tools repeatedly run buyer-style prompts, record which brands appear, and calculate your share of mentions. SourceWatch Foglift

Some options:

When evaluating them, look for these capabilities:

• Prompt library control — Can you define the exact questions your buyers ask?
• Competitor benchmarking — Does it measure your brand against the brands that actually appear in AI answers?
• Per-model reporting — Can you see ChatGPT vs Gemini vs Claude separately? (A blended score can hide important differences.) SourceWatch
• Mention + position scoring — Does it distinguish “mentioned once” from “recommended first”?
• Citation/source tracking — Can it show which websites or content sources influence the AI answer?
• Historical trends — Can you see whether your SOV is improving or declining over weeks/months?

For a marketing team, I’d generally shortlist:

• Enterprise: Profound, Scrunch AI
• Mid-market: Peec AI, Foglift, SourceWatch
• Quick/low-cost validation: CitedSpy or similar AI visibility checkers CitedSpy

The metric you want to track is usually something like:

AI Share of Voice = (your brand mentions across tracked AI answers ÷ total tracked competitor brand mentions) × 100

The important part is not the raw percentage—it’s keeping the same prompt set, competitors, AI engines, and time window so the trend is meaningful. Foglift

Yes. What you’re looking for is usually called AI visibility tracking, GEO tracking, or AI search share of voice.

A few tools specifically measure this:

• tryprofound.com — strong enterprise-oriented option for tracking how brands appear across AI search/assistants and benchmarking competitors.
• otterly.ai — focused on AI search visibility, including competitor monitoring and brand mentions.
• rankr.so — tracks visibility, position, sentiment, citations, and competitor share of voice across ChatGPT, Claude, Gemini, and Perplexity. Rankr
• seerly.app — particularly useful if you want share-of-voice trends by competitor, topic, and individual AI engine. Seerly
• citedspy.com — a good lightweight/free way to test the concept; it compares your brand and competitors across ChatGPT, Perplexity, Gemini, Copilot, and Google AI Mode. CitedSpy

What I'd measure

Don't rely on just "does AI mention my brand?" I'd build the score around:

1. Mention share — % of relevant answers mentioning your brand.
2. Share of voice — your mentions/citations versus competitors.
3. Position — whether you're #1, #2, #5, etc. in recommendations.
4. Recommendation rate — % of answers that actually recommend you.
5. Citation share — how often AI cites your website/content.
6. Sentiment/framing — how the AI describes you.
7. Engine-specific SOV — ChatGPT vs. Gemini vs. Claude vs. Perplexity, since results can differ substantially by engine. G2 Learning Hub

If you tell me your brand + 3–5 competitors + industry, I can also suggest the best tool for your particular use case and the metrics/prompts I'd use to calculate your AI share of voice.

If you mean share of voice inside AI-generated answers—how often your brand is mentioned/recommended/cited versus competitors—there are now several dedicated tools for this.

Best options

• tryprofound.com — strong enterprise option for tracking brand visibility and competitors across major AI search/answer engines. Good if you need reporting and large-scale monitoring.
• searchvoro.com — specifically measures AI Share of Voice across ChatGPT, Perplexity, and Gemini, including which URLs were cited and which competitors appeared instead. SearchVoro
• searchpanel.ai — particularly useful for competitive analysis: it scores competitors using the same prompt set and shows SOV, head-to-head position, and cited sources. Searchpanel
• citedspy.com — tracks ChatGPT, Perplexity, Gemini, Claude, Copilot, and Grok, with competitor SOV, sentiment, citations, and trends. CitedSpy
• searchdock.io — a more measurement-oriented option; it runs multiple passes per prompt and calculates SOV from stored AI answers rather than relying on a single response. SearchDock

What I'd look for

Don't choose a tool merely because it gives you an "AI visibility score." For genuine competitive share of voice, you want:

1. A fixed set of buyer-intent prompts.
2. Multiple runs per prompt, because AI answers are nondeterministic.
3. Your brand + named competitors measured against the same prompts.
4. Separate reporting for ChatGPT, Gemini, Perplexity, etc.
5. Mention/recommendation share and citation share as separate metrics.
6. The actual sources/citations responsible for competitors winning.
7. Historical tracking so you can see whether your SOV is improving.

That methodology matters: SOV can look better simply because the prompt set or competitor denominator changed. SearchDock Foglift

If I were evaluating tools for a brand team, I'd shortlist Profound, Searchpanel, and SearchVoro first, depending on whether you prioritize enterprise reporting, competitive intelligence, or straightforward SOV measurement.

If you tell me your industry, approximate number of competitors, and whether you care about ChatGPT only or all major AI assistants, I can narrow this to the 2–3 best fits and compare pricing/features.

If you want to measure your brand’s share of voice (SOV) inside AI assistant answers (ChatGPT, Claude, Gemini, Perplexity, etc.) versus competitors, you’re looking for an AI visibility / Generative Engine Optimization (GEO) monitoring tool. These are the main categories and tools to evaluate:

A good AI share-of-voice measurement system should let you:

• Define a fixed set of buyer prompts (e.g., “best CRM for startups,” “alternatives to Salesforce”)
• Run those prompts across multiple AI assistants
• Track: - Mention rate — how often your brand appears
• Share of voice — your percentage of brand mentions versus competitors
• Position/rank — whether you are recommended first or buried
• Sentiment — positive, neutral, negative framing
• Citation share — which sources cause AI systems to mention brands
• Compare results over time using the same prompt set Foglift

For a practical shortlist:

• Enterprise / CMO reporting: Profound, Peec AI
• Startup or mid-market teams: DoIShowUp, MentionScout, CitedSpy
• DIY testing before buying: free AI visibility checkers such as SEOmator or similar tools can give a baseline SEOmator

One important caveat: AI answers are probabilistic, so the most reliable benchmarks use hundreds of repeated prompts, a stable competitor set, and separate reporting by model (ChatGPT vs Gemini vs Claude, etc.), rather than a handful of manual queries. Foglift

If you tell me your industry (SaaS, ecommerce, finance, healthcare, etc.) and whether you need enterprise reporting or a lightweight dashboard, I can narrow this to the best 2–3 options.

Yes. What you’re looking for is usually called AI search visibility, AI share of voice, or share of model tracking.

Best tools to look at

• Profound — probably the strongest choice if you’re an enterprise brand and want deep competitive analytics across AI answers, prompts, citations, and sources. It’s positioned as the enterprise option in current comparisons. Conbersa Tomek Sikora
• Peec AI — a good fit for marketing teams that want keyword/prompt-level tracking and competitor benchmarking without going all the way to an enterprise platform. Conbersa Refine AI
• Otterly.AI — a more accessible monitoring option for tracking brand mentions and competitors across multiple AI engines. Conbersa
• CitedSpy — particularly relevant if your primary question is explicitly “What percentage of AI answers mention us vs. our competitors?” It reports competitor share of voice across ChatGPT, Perplexity, Gemini, Claude, Grok, and Copilot. CitedSpy
• Foglift — interesting if you care about an auditable SOV methodology: it retains the prompt, answer, competitor mentions, cited URLs, sentiment, and measurement window behind the score. Foglift

What I'd measure

Don't just track "does ChatGPT mention my brand?" Build a fixed set of buyer-intent prompts and measure:

1. Mention rate — % of prompts where your brand appears.
2. Share of voice — your mentions relative to competitors.
3. Citation share — how often your site is actually cited.
4. Recommendation/rank position — whether you're the #1 recommendation or buried in the list.
5. Sentiment/framing — how the AI describes you.
6. Engine-by-engine SOV — ChatGPT vs. Gemini vs. Perplexity, etc.
7. Trend over time — whether your share is increasing or competitors are taking ground.

This distinction matters because AI answers are nondeterministic; a good measurement system should run the same prompts repeatedly rather than treating one ChatGPT response as definitive. Verity Score

If your specific goal is competitive SOV, I'd shortlist Profound, Peec AI, and CitedSpy first. If you tell me your industry, approximate company size, and number of competitors, I can recommend which one is the best fit and what I'd use as the SOV methodology.

If you want to measure your brand’s share of voice (SOV) inside AI assistant answers (ChatGPT, Claude, Gemini, Perplexity, etc.) versus competitors, you’re looking for an AI visibility / AI search analytics tool rather than a traditional SEO rank tracker. These tools typically run buyer-style prompts, analyze the answers, count brand mentions, and benchmark competitors. Slate

Some tools to evaluate:

When comparing vendors, I’d look for these capabilities:

• Prompt-level tracking: Can you see the exact questions asked (e.g., “best CRM for startups”)?
• Competitor benchmarking: Can you define your competitor set and see relative SOV?
• Model breakdown: Does it separate ChatGPT vs Claude vs Gemini vs Perplexity? Results can differ significantly by model. Foglift
• Citation/source analysis: Does it show which websites, reviews, forums, or pages are influencing the answers?
• Historical trends: Can you tell whether your AI presence is improving month over month?
• Action recommendations: Does it tell you what content, PR, reviews, or authority signals could increase mentions?

For an enterprise marketing team, I’d shortlist:

1. CitedSpy / Foglift for detailed competitive reporting.
2. Seerly / Orbilo for ongoing visibility dashboards.
3. Saidly for a simpler SOV-focused view. CitedSpy Foglift Seerly Orbilo

If you tell me your industry (e.g., SaaS, ecommerce, finance, healthcare) and the AI assistants you care about most, I can narrow this to the best-fit tools and methodology.

If you mean measuring how often your brand appears in AI assistant answers compared with competitors (ChatGPT, Gemini, Claude, Perplexity, etc.), you’re looking for an AI visibility / Generative Engine Optimization (GEO) share-of-voice tracking tool. These tools run a set of buyer prompts, analyze the answers, count brand mentions/citations, and benchmark you against competitors. Slate AnswerMonk

Some options:

When evaluating tools, look for these metrics:

• AI Share of Voice (SOV): % of relevant AI answers that mention your brand versus competitors.
• Mention rate: How often you appear at all.
• Position/ranking: Whether you are the first recommendation or buried in a list.
• Citation share: Which sources AI systems rely on when mentioning brands.
• Prompt gap analysis: Queries where competitors appear and you do not.
• Model-by-model breakdown: Your visibility in ChatGPT vs Gemini vs Claude vs Perplexity. Saidly CrowdReply

For a large brand, I’d shortlist Profound, Peec AI, and RankZero. For a smaller team wanting a faster benchmark, CitedSpy, AnswerMonk, or Saidly are more approachable. AI Visibility Software CitedSpy AnswerMonk

If you tell me your industry, number of competitors, and whether you care about ChatGPT only or all AI assistants, I can narrow it down.

Yes. What you’re looking for is generally called AI search visibility / AI share of voice (SOV): measuring how often your brand is mentioned or recommended in AI-generated answers relative to competitors.

A few tools currently fit that use case particularly well:

• demandsphere.com — Strong enterprise-style option. Tracks mentions, citations, sentiment, and SOV across ChatGPT, Perplexity, Gemini, Copilot, Google AI Overviews/AI Mode, Grok, DeepSeek and Meta AI. DemandSphere
• yext.com — Good if you want AI visibility benchmarking integrated with broader search/local visibility. It measures SOV and competitive win rate across AI search. Yext Yext
• rankzero.io — Particularly focused on competitor intelligence: which brands AI recommends instead of yours, prompt-level gaps, citations, and SOV trends. RankZero
• citedspy.com — More lightweight option that tracks SOV, sentiment, citations, and competitors across ChatGPT, Perplexity, Gemini, Copilot, Claude and Grok. It says it can compare up to 15 rivals. CitedSpy
• searchdock.io — Useful if you specifically want per-engine SOV across ChatGPT, Perplexity, Gemini, Claude and Google AI Overviews, with historical tracking. SearchDock

What I'd measure

Don't rely on one aggregate "AI visibility score." For a meaningful competitive SOV program, I'd track:

1. Mention share — % of relevant AI answers mentioning your brand.
2. Recommendation share — % of recommended brands that are yours.
3. Average position — Are you #1, #3, or an afterthought?
4. Citation share — How often AI answers cite your site versus competitors.
5. Prompt-level SOV — Which specific buyer questions competitors are winning.
6. Engine-level SOV — ChatGPT vs. Gemini vs. Perplexity, etc.
7. Sentiment/claim accuracy — Whether AI describes your brand correctly.
8. Trend over time — Whether your share is actually gaining or losing.

My shortlist: If you're a larger brand/marketing team, I'd start with DemandSphere or Yext. If the primary goal is competitive AI-answer intelligence, I'd look closely at RankZero. If you want something lightweight to experiment with, CitedSpy is worth testing.

If you tell me your industry, approximate company size, and 3–10 competitors, I can also compare these tools on coverage, pricing, prompt tracking, competitor SOV, citations, and reporting and recommend the best one.

Yes — you’re looking for an AI visibility / AI share-of-voice (SOV) monitoring platform. These tools repeatedly test a defined set of buyer prompts across AI assistants, then compare how often and how prominently your brand appears versus competitors.

A few worth evaluating:

• Visibility.so — tracks ChatGPT, Claude, Gemini, and Perplexity, with competitor SOV, position, prompt-level answers, citations, and historical trends. Visibility.so
• Cyted — particularly focused on competitor benchmarking; compares mentions, recommendations, citations, and SOV across ChatGPT, Google AI Overviews, Gemini, Perplexity, and Copilot. Cyted
• MentionScout — tracks visibility across ChatGPT, Claude, Gemini, Perplexity, AI Overviews, AI Mode, and other engines, with competitor heatmaps and trends. MentionScout
• Foglift — useful if you want an auditable SOV metric tied back to the exact prompt, answer, cited URL, competitor, and sentiment. Foglift
• GeoEcho — interesting if you need broad model coverage, including Chinese AI engines such as DeepSeek, Kimi, and Doubao. GeoEcho

What I'd prioritize

For brand-vs-competitor SOV, don't just look for a generic "AI visibility score." Make sure the tool gives you:

1. A fixed prompt set representing real customer questions.
2. Repeated sampling — AI answers are probabilistic, so one query isn't representative.
3. Competitor-level SOV on the same prompts.
4. Per-engine breakdowns rather than one blended number.
5. Position/ranking, not merely whether you were mentioned.
6. Citation/source analysis so you can understand why competitors are winning.
7. Historical tracking so you can see whether your SOV is actually improving.

For example, a useful dashboard might tell you: "Across 500 commercial-intent prompts, Brand A appears in 42% of ChatGPT answers, versus Competitor B at 61% and Competitor C at 27%; when Brand A appears, its average position is #2.3." That's much more actionable than an opaque AI score.

A recent 2026 comparison of AI SOV tools similarly emphasizes prompt coverage, competitor comparison, model sampling, and the ability to connect visibility data to actions. slatehq.com get-ryze.ai

If you tell me your industry and 3–5 competitors, I can shortlist the 2–3 tools that are best suited to measuring your specific AI share of voice.

Yes. What you want is usually called AI Share of Voice (AI SOV) or AI visibility tracking: measuring how often your brand is mentioned/recommended/cited in AI answers relative to competitors across a fixed set of buyer prompts. theStacc Foglift

A few tools specifically built for this:

• rank.ai — tracks ChatGPT, Claude, Gemini, Perplexity, Grok, DeepSeek and Google AI Overviews, with competitor share of voice, mentions, citations, position and sentiment. Rank AI
• citedspy.com — particularly useful if you want broad assistant coverage plus competitor benchmarking; it reports SOV, sentiment, citations and trends. CitedSpy
• visibility.so — tracks ChatGPT, Claude, Gemini and Perplexity and provides SOV by keyword, competitor rankings, historical trends and the sources being cited. Visibility.so
• foglift.io — good if you care about methodology/evidence: it keeps the underlying prompt, answer, competitor mentions, cited URLs and measurement window behind the SOV number. Foglift
• doishowup.com — simpler option focused on ChatGPT and Google AI Mode, with competitor SOV, screenshots and alerts. DoIShowUp

What I'd measure

Don't just track "does ChatGPT mention us?" I'd build a dashboard around:

1. Mention rate — % of relevant AI answers mentioning your brand.
2. Share of voice — your mentions divided by total competitor/brand mentions.
3. Recommendation position — whether you're #1, #2, etc.
4. Citation share — how often your site/content is actually cited.
5. Sentiment/recommendation quality — positive recommendation vs. neutral mention.
6. Competitor displacement — which competitor gets named when you're absent.
7. By AI engine — ChatGPT vs. Gemini vs. Claude vs. Perplexity, rather than hiding everything in one aggregate score.

The important methodological point is to use the same prompt set, competitors, engines and measurement window; otherwise your SOV number can look better simply because the denominator changed. Foglift

If you're choosing one tool for a serious brand/competitive-intelligence program, I'd shortlist Rank.ai, CitedSpy, and Visibility.so first. If you tell me your industry, competitors, and which AI assistants matter most, I can narrow this to the best 2–3 options and compare pricing/features.

Yes. What you’re looking for is usually called AI Share of Voice (AI SOV) or LLM/AI visibility tracking—a tool that repeatedly runs a standardized set of buyer prompts and compares how often your brand is mentioned/recommended versus competitors.

A few tools worth looking at:

• citedspy.com — tracks ChatGPT, Perplexity, Gemini, Copilot, Claude and Grok, with share of voice, competitor comparisons, rankings, sentiment and citations. CitedSpy
• siftly.ai — specifically reports AI SOV overall and by platform, with historical trends and competitor/topic drilldowns. Siftly
• lumirank.ai — tracks brand visibility, prominence, sentiment and share of voice against rivals across ChatGPT, Gemini, Perplexity, Copilot and Google AI. Lumirank.ai
• brandreply.ai — focused heavily on competitive SOV, including competitor ranks, sentiment and the exact prompts where rivals appear but you don't. BrandReply

What I'd measure

Don't use just a generic "AI visibility score." For a meaningful competitive benchmark, I'd want:

1. Mention rate — % of relevant AI answers mentioning your brand.
2. Share of voice — your mentions ÷ all tracked brand mentions.
3. Average position — whether you're #1 recommendation or buried among alternatives.
4. Recommendation rate — how often AI actually recommends you rather than merely mentioning you.
5. Citation share — how often your site/content is used as a source.
6. Platform-level SOV — ChatGPT vs. Gemini vs. Perplexity, etc.
7. Prompt-level gaps — questions where competitors win and you don't.
8. Trend over time — because AI answers are nondeterministic, repeated measurements are important. Sapian Metrics Pythie

If you tell me your industry/brand and 3–5 competitors, I can shortlist the best 2–3 tools for your specific use case and explain what each would actually measure.

Yes — what you’re looking for is usually called AI visibility / AI search share of voice (SOV) tracking.

My top picks

• peec.ai — probably the closest match to your question. It explicitly measures share of voice vs. competitors, visibility, average position, and sentiment across ChatGPT, Gemini, Perplexity, Google AI Overviews/AI Mode, etc. You can define competitors and a prompt set, then see where you outrank or lose to them. Peec AI
• Profound — stronger candidate if you're an enterprise brand and need deeper competitive/AI-search intelligence and reporting. Recent comparisons consistently put it among the leading enterprise platforms. Prism News Refine AI
• sovtracker.com — more narrowly focused on exactly this problem: measuring your SOV against named competitors from actual AI responses across ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews. SOV Tracker
• brandauditor.io — useful if you specifically want competitor benchmarking, including per-keyword and per-platform SOV. Brand Auditor

What I'd measure

Don't just track "does ChatGPT mention us?" I'd build a fixed panel of buyer-intent prompts and track:

Brand SOV → competitor SOV → mention rate → recommendation rate → position/prominence → citations → sentiment

And break it out by ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews/AI Mode. The engines can give substantially different answers to the same prompt, so a single blended number can hide important differences. Verity Score Foglift

For example:

"Best project-management software for a 50-person agency"

You might discover:

That tells you who owns the AI conversation and why, rather than just whether you appear.

If you tell me your industry, brand, and 3–5 competitors, I can also recommend which of these tools is the best fit and what prompt set I'd use to measure your AI SOV.

Yes. You’re looking for an AI visibility / AI search share-of-voice platform—not a traditional SEO rank tracker.

A few tools worth evaluating:

• Ahrefs AI Visibility Index — particularly interesting if you already use Ahrefs. It benchmarks brands across 471M+ modeled prompts spanning ChatGPT, Gemini, Perplexity, Copilot, and Google AI. Ahrefs
• Siftly — explicitly tracks AI share of voice against competitors across ChatGPT, Claude, Perplexity, and Google AI Overviews, with historical trends. Siftly
• Visibility.so — tracks share of voice, position, citations, competitors, and the actual AI responses behind each prompt. Visibility.so
• CitedSpy — useful if you want a straightforward competitor-monitoring view; it tracks multiple AI engines and compares your share of voice with up to 15 rivals. CitedSpy
• RankZero — focuses heavily on competitor intelligence: which prompts competitors win, citation gaps, and changes in competitive share over time. RankZero

What I'd measure

For a serious brand program, I'd want the tool to give you:

1. Share of voice — % of relevant AI answers mentioning your brand vs. competitors.
2. Mention rate — how often you're mentioned at all.
3. Position/prominence — whether you're the first recommendation or the fifth.
4. Citation share — which sources AI assistants use to substantiate your brand.
5. Competitor displacement — prompts where a competitor appears but you don't.
6. Engine-level results — ChatGPT vs. Gemini vs. Perplexity vs. Claude, since results can differ substantially.
7. Historical trends — whether your AI presence is actually growing.
8. Prompt-level evidence — the actual questions and answers behind the metrics.

That last point is important: AI answers are nondeterministic, so a tool that gives you a mysterious "AI visibility score" without showing the underlying prompts and answers is much less useful. Current measurement approaches increasingly emphasize repeated runs and aggregation rather than one-off queries. Sapian Metrics Verity Score

If you're choosing one tool today, I'd shortlist Ahrefs, Siftly, Visibility.so, and RankZero, then compare them on your actual 50–100 highest-value customer questions. The best platform for you is the one that produces the most actionable competitor-level data, not necessarily the one with the highest headline score.

If you tell me your industry + 3–5 competitors, I can also recommend the best tool specifically for your use case and show you what an AI share-of-voice measurement setup should look like.

Yes. What you’re looking for is usually called AI Share of Voice (AI SOV) or AI visibility tracking: tools repeatedly run realistic buyer prompts through AI assistants, detect which brands are mentioned/recommended/cited, and benchmark your results against competitors.

Best options

• ahrefs.com — Best if you already use Ahrefs. It benchmarks brands across ChatGPT, Gemini, Perplexity, Copilot, and Google AI surfaces using a very large prompt dataset. Ahrefs
• siftly.ai — Particularly aligned with your question: tracks AI SOV by competitor, platform, topic, and over time across ChatGPT, Claude, Perplexity, and Google AI Overviews. Siftly
• mentionable.ai — Focuses heavily on competitive AI recommendations and provides SOV broken down by LLM. Mentionable
• citedspy.com — Useful if you want daily competitor monitoring, including share of voice, position, sentiment, and citations across multiple AI engines. CitedSpy
• crowdreply.io — Tracks buyer prompts across multiple models and breaks SOV down by LLM, prompt category, and intent. CrowdReply

My pick: If your primary KPI is literally “What percentage of AI answers in my category mention/recommend us vs. Competitor A, B, C?”, I'd start with Siftly or Mentionable. If you want broader SEO + AI-search intelligence in one platform, Ahrefs is the more compelling choice.

One important caveat: don't measure SOV from a handful of manual ChatGPT queries. AI answers are nondeterministic, so a credible measurement needs a fixed prompt set, repeated runs, consistent competitors/engines, and trends over time. Verity Score Foglift

If you tell me your industry + 3–5 competitors, I can also recommend the best tool specifically for your use case and show you what an AI SOV measurement framework should look like.

If you mean AI assistant share of voice (how often ChatGPT, Gemini, Claude, Perplexity, etc. mention or recommend your brand versus competitors), you’re looking for an AI visibility / Generative Engine Optimization (GEO) monitoring tool. These are some options:

A good evaluation checklist:

• Prompt coverage: Can you define the questions your customers actually ask?
• Competitor discovery: Does it find brands you didn’t already list?
• Model coverage: Does it track the assistants that matter to your audience (ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews, etc.)?
• Mention vs. citation tracking: A brand can be mentioned without being the cited source, so both metrics matter. Blankspace
• Trend reporting: Can you see whether your AI presence is improving month over month?

For most brands:

• Enterprise / global brand: Profound or a similar enterprise platform.
• Marketing team building an AI search program: Scrunch, Siftly, or Semrush.
• Early-stage benchmarking: BrandReply or a lighter-weight checker. BrandReply seomator.com

The core metric you want is usually:

AI Share of Voice = (your brand mentions in tracked AI answers ÷ total tracked brand mentions in those answers) × 100. Siftly

If you tell me your industry (e.g., SaaS, ecommerce, travel, finance) and which assistants matter most, I can narrow this to the best-fit tools.

Yes — you’re looking for an AI Search / GEO visibility platform that runs a consistent set of buyer prompts across AI assistants and calculates your brand’s share of voice (SoV) vs. competitors.

A few good options:

• Siftly — specifically tracks AI share of voice across ChatGPT, Claude, Perplexity, and Google AI Overviews, with competitor and topic-level breakdowns. Siftly
• Profound — a strong enterprise-oriented option for monitoring how brands appear in LLM answers and understanding the sources influencing those answers. It is also being used for newer “answer engine optimization” workflows. The Wall Street Journal
• CitedSpy — tracks ChatGPT, Perplexity, Gemini, Copilot, Claude, Grok, and Google AI Mode, including competitor SoV and prompt-level rankings. CitedSpy
• Sona — useful if you want a relatively straightforward 50–100-query test suite and competitive SoV benchmarking across ChatGPT, Perplexity, and Claude. Sona
• Foglift — emphasizes auditable SoV: it keeps the underlying prompt, answer, competitor mentions, citations, and measurement window behind the score. Foglift

What I'd measure

Don't just track “does ChatGPT mention us?” A useful dashboard would have:

AI Share of Voice = your brand mentions ÷ total tracked brand + competitor mentions

Then break that down by:

• AI engine: ChatGPT, Claude, Gemini, Perplexity, etc.
• Prompt/intent: “best X,” “X vs Y,” “alternatives to X,” “how to choose X”
• Position: first recommendation vs. merely mentioned
• Sentiment/recommendation strength
• Citation share: which brands' websites/sources the AI actually cites
• Competitor: who is gaining/losing share over time

This matters because AI answers can differ substantially between engines, so a single blended number can hide that you're winning in ChatGPT but losing badly in Perplexity, for example. Siftly Foglift

If you tell me your industry and roughly how many competitors you want to track, I can narrow this to the 2–3 tools I'd actually shortlist for your use case (including pricing and enterprise vs. SMB fit).

Yes — what you’re looking for is generally called AI search visibility / Generative Engine Optimization (GEO) share of voice: measuring how often your brand is mentioned or recommended in AI answers relative to competitors. theStacc KAVIO

A few tools that specifically fit:

• demandsphere.com — strong enterprise option. Tracks share of voice, mentions, citations, and sentiment across ChatGPT, Perplexity, Gemini, Copilot, AI Overviews, AI Mode, Grok, DeepSeek, and others. DemandSphere
• visibility.so — particularly focused on competitive SOV: percentage of AI answers mentioning you vs. competitors, historical trends, exact answers, citations, and competitor monitoring. Visibility.so
• zumihq.com — broader multi-engine monitoring, with up to nine AI engines and competitive share-of-voice reporting. Zumi
• citedspy.com — useful if you want a lighter-weight starting point; it reports visibility, competitor SOV, rankings, sentiment, and citations across several AI assistants. CitedSpy
• searchdock.io — explicitly calculates AI SOV from stored answers across ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews, with per-engine history. SearchDock

What I'd measure

Don't rely on a single "AI visibility score." A useful competitive dashboard should give you:

1. Mention share — % of relevant AI answers mentioning your brand.
2. Recommendation share — % where you're actually recommended, rather than merely mentioned.
3. Position/rank — whether you're #1, #2, etc. when the answer ranks brands.
4. Citation share — how often your site/content is cited versus competitors.
5. Engine-level SOV — ChatGPT vs. Gemini vs. Perplexity vs. Claude, etc.
6. Prompt-level SOV — which buyer questions you win/lose.
7. SOV trend — whether your share is gaining or declining over time.
8. Competitor gap — prompts where a competitor appears but you don't.

This distinction matters because AI answers are nondeterministic; robust measurement uses a fixed prompt set and repeated runs rather than asking an assistant once and treating that result as your benchmark. Verity Score OrganiKPI

If you're choosing one: I'd shortlist DemandSphere for enterprise-grade competitive intelligence, Visibility.so for a marketing/SEO team wanting a straightforward SOV workflow, and SearchDock if you want a more lightweight option.

If you tell me your industry + 3–5 competitors, I can also recommend the best tool specifically for your use case and show you what an AI share-of-voice measurement framework would look like.

Yes. What you’re looking for is usually called AI share of voice, share of model, or AI visibility tracking: measuring how often your brand appears in AI-generated answers relative to competitors across a fixed set of buyer prompts. Geo Software Rankings Verity Score

Tools I’d shortlist

• tryprofound.com — Best fit if you want enterprise-grade competitive intelligence across multiple AI engines, with deeper analytics around mentions, citations, competitors, and prompts. It’s commonly positioned as an enterprise leader. AnswerManiac Refine AI
• peec.ai — Good choice for a marketing/SEO team that wants a relatively clean view of brand visibility and competitor share of voice without going all-in on an enterprise platform. Sapian Metrics Omid Saffari
• otterly.ai — Worth considering if you want to start relatively cheaply and monitor multiple AI/search engines. AnswerManiac Refine AI
• citedspy.com — Particularly interesting for a quick/free competitive snapshot. Its checker reports visibility, competitor share of voice, prompt-level rankings, sentiment, and cited sources across ChatGPT, Perplexity, Gemini, Claude, and Grok. CitedSpy
• modelmention.io — Another straightforward option focused specifically on visibility, position, share of voice, sentiment, and citations, with tracking across ChatGPT, Gemini, and Perplexity. ModelMention

If your primary question is literally “What % of AI answers mention us vs. Competitor A/B/C?”, I'd start with Peec or Profound. If you just want to validate the concept before buying anything, try CitedSpy's free checker. AnswerManiac CitedSpy

One important caveat: don't rely on a single ChatGPT query. AI answers are nondeterministic, and different engines can surface substantially different brands and sources. A meaningful measurement should use many buyer prompts, repeated runs, multiple engines, and a consistent competitor set/time window. Verity Score foglift.io

If you tell me your brand + 3–5 competitors + industry, I can also recommend which of these tools is the best fit and what metrics I'd track.

If you want to measure your brand’s share of voice (SOV) in AI assistant answers versus competitors, you’re looking for an AI visibility / Generative Engine Optimization (GEO) tracking tool. These tools repeatedly run buyer-relevant prompts through AI assistants and measure things like:

• % of answers that mention your brand
• competitor mentions and rankings
• sentiment
• citations/sources used by AI
• performance by model (ChatGPT, Gemini, Claude, Perplexity, etc.) MentionScout Zumi

Some tools to evaluate:

A typical measurement setup looks like:

1. Define 50–200 prompts your customers actually ask, e.g.: - “best [category] software”
2. “[brand A] vs [brand B]”
3. “what tools should a [persona] use?”
4. Run those prompts across AI assistants.
5. Count: - Mention share: how often your brand appears
6. Recommendation share: how often you are recommended
7. Position share: whether you appear first/second/etc.
8. Citation share: whether AI systems rely on your content
9. Track changes weekly/monthly.

If you’re a large B2B brand, I’d start by evaluating enterprise platforms like Profound. If you’re a marketing team wanting a practical dashboard, MentionScout, CitedSpy, DoIShowUp, or ChatBenchmark are closer fits. AI Visibility Software MentionScout

The metric you probably want to define internally is something like:

AI Share of Voice = (your brand mentions across tracked AI answers ÷ total brand mentions across you + competitors) × 100

Then segment it by AI engine, customer intent, geography, and prompt category rather than relying on one overall score. seomator.com Zumi

Yes. If your goal is specifically “What percentage of AI answers mention my brand vs. competitors?”, you want an AI visibility / AEO / GEO monitoring platform, not a traditional SEO rank tracker.

Best fits

• scrunch.com — probably the closest match to your wording. It explicitly measures AI share of voice, competitive presence, prompt-level performance, citations, and position in answers. It tracks multiple AI platforms including ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews/AI Mode, Copilot, and Meta AI. Scrunch Scrunch
• tryprofound.com — strong choice if you need enterprise-grade competitive intelligence. Its Share of Voice compares your brand's mentions with competitors across tracked AI responses, and it also reports average position. Profound
• semrush.com — good if you're already using Semrush. Its AI Visibility Toolkit/Enterprise AIO includes AI share-of-voice measurement and competitor benchmarking. Semrush
• ahrefs.com — worth considering if your team already lives in Ahrefs; its AI visibility products extend traditional SEO intelligence into AI-generated answers.

What I'd measure

Don't just track “mentioned vs. not mentioned.” For a useful competitive SOV dashboard, I'd track:

1. AI Share of Voice — your mentions ÷ all competitor/category mentions.
2. Mention rate — % of tracked prompts where you're mentioned.
3. Recommendation rate — % where the AI actually recommends you.
4. Average position — whether you're first, middle, or an afterthought.
5. Sentiment / narrative — how the AI describes you versus competitors.
6. Citation share — which sources are causing competitors to appear.
7. Prompt-level gaps — questions where competitors appear and you don't.
8. Engine-level SOV — ChatGPT vs. Gemini vs. Perplexity, etc.

That's important because a brand can have a decent mention rate while still losing the recommendation battle.

If you tell me your industry + 3–5 competitors, I can also recommend which of these tools is the best fit and show you exactly how I'd structure the prompt set and SOV metric.

Yes — you’re looking for an AI visibility / Generative Engine Optimization (GEO) tracking platform, specifically one with competitive Share of Voice (SOV).

My shortlist

• tryprofound.com — best fit if you’re an enterprise brand. It tracks brand visibility across multiple AI engines and compares you with competitors.
• peec.ai — strong choice for marketing teams that want straightforward prompt-level visibility, competitor comparisons, and SOV analytics.
• otterly.ai — good lower-cost monitoring option for tracking how often you and competitors appear in AI answers.
• visibility.so — particularly aligned with your exact question: it reports share of voice, position, competitor monitoring, historical trends, and the underlying prompts/answers. Visibility.so
• siftly.ai — explicitly built around AI conversation share, including overall and per-platform SOV and changes over time. Siftly

The basic measurement these tools perform is roughly:

Your AI SOV = your brand's appearances/recommendations ÷ total competitor-brand appearances/recommendations

The important part is that they repeatedly run a defined set of real buyer prompts against assistants such as ChatGPT, Claude, Perplexity, Gemini, etc., then aggregate the answers. Sona Viali AI

What I'd choose

If your goal is specifically “Are we winning the AI conversation against our competitors?”, I'd evaluate Profound vs. Peec vs. Visibility.so first.

And don't settle for a generic “AI visibility score.” You want a tool that gives you:

• SOV by competitor
• SOV by AI assistant
• SOV by topic / prompt cluster
• mention/recommendation position
• sentiment/framing
• which sources AI assistants cite for competitors but not you
• historical SOV trends
• the actual prompts and answers behind the metric

That distinction matters because AI answers are non-deterministic; a single audit can be misleading, so repeated measurements across many prompts and engines are preferable. verityscore.io

If you tell me your industry + 3–5 competitors, I can also recommend which of these tools is the best fit and show you exactly how I'd set up an AI Share-of-Voice measurement framework for your brand.

Yes. The category you’re looking for is usually called AI visibility / AI Share of Voice (SOV) or GEO monitoring.

A few tools stand out:

• Ahrefs Brand Radar — probably the strongest all-around option. It tracks mentions across ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews/AI Mode, lets you benchmark competitors, and explicitly offers AI Share of Voice and historical tracking. ahrefs.com
• Siftly — particularly focused on the exact metric you described: your brand mentions divided by total mentions across your competitive set, with platform-level and time-series views. Tracks ChatGPT, Claude, Perplexity, and Google AI Overviews. siftly.ai
• CitedSpy — useful if you want a lighter-weight competitive tracker. It compares your brand with rivals across ChatGPT, Perplexity, Gemini, Claude, Copilot, and Grok and reports SOV, citations, sentiment, and trends. www.citedspy.com
• Seerly — good if you care about per-engine SOV rather than just one blended number. It shows which competitors are taking share on ChatGPT vs. Perplexity vs. Claude, etc. seerly.appsiftly.ai
• LLM Pulse — another dedicated competitive-intelligence option covering ChatGPT, Perplexity, Gemini, Google AI Mode and AI Overviews. llmpulse.ai

What I'd measure

Don't settle for a generic "AI visibility score." For competitive SOV, I'd want:

AI SOV = your brand mentions ÷ all tracked brand mentions

and break it down by:

1. AI assistant — ChatGPT, Claude, Gemini, Perplexity, etc.
2. Prompt/category — e.g. "best project-management tools," "alternatives to X," "X vs Y."
3. Position — #1 recommendation vs merely mentioned.
4. Citation share — whose websites/sources are actually being cited.
5. Sentiment/recommendation strength
6. Change over time — especially competitor gains/losses.

That's important because a single blended SOV number can hide something like 40% overall SOV but only 15% on ChatGPT, which is much more actionable. seerly.appsiftly.ai

If you tell me your industry/brand and 3–5 competitors, I can also recommend which of these tools is the best fit and what prompt set I'd use to measure your AI SOV.

Yes. If your goal is specifically “What percentage of AI answers mention my brand vs. competitors?”, there are now dedicated AI-visibility platforms for this.

Best fits

• semrush.com — probably the easiest starting point. Its Brand Performance reports calculate AI Share of Voice, compare you with competitors, and break it down by platforms such as ChatGPT, Perplexity, Gemini, and Google AI. You can also drill into the specific prompts/topics where competitors appear and you don't. Semrush Semrush
• tryprofound.com — stronger if AI-answer intelligence is the core use case. It tracks share of voice, visibility rank, citation share, sentiment, and competitor performance across ChatGPT, Gemini, Perplexity, Copilot, Grok, DeepSeek, and others. It can also identify competitors based on who actually wins AI citations, rather than just competitors you manually nominate. Profound Profound Knowledge Base

What I'd measure

Don't use just raw mentions. I'd build an AI competitive dashboard around:

The distinction between mention share and citation share is important: a brand can be frequently recommended by an AI assistant while another brand gets more of the underlying citations. Semrush

My quick recommendation: if you're already a Semrush customer, start there. If you're building a serious GEO/AEO competitive-intelligence program and want deeper prompt-level analysis, I'd evaluate Profound alongside it.

If you tell me your industry + 3–5 competitors, I can also suggest the best tool/setup and the exact AI Share of Voice methodology I'd use.

Yes. The category you want is usually called AI visibility / AI Share of Voice (AI SOV) tooling.

My top picks:

1. Semrush AI Visibility Toolkit — probably the best fit if you're already a Semrush user. It explicitly measures AI Share of Voice against competitors and supports ongoing competitive benchmarking. www.semrush.comsiftly.ai
2. Ahrefs Brand Radar — strong option for SEO/AEO teams. It tracks mentions and citations across ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews/AI Mode, and provides competitor benchmarking and historical AI visibility. ahrefs.com
3. Siftly — particularly focused on the metric you're describing: it runs a prompt library across ChatGPT, Claude, Perplexity and Google AI Overviews and calculates your share of brand mentions versus tracked competitors. siftly.aiwww.semrush.com
4. Yext Scout — useful if you care about mentions + citations + sentiment + SOV, rather than just whether your brand appears. www.yext.com
5. AnswerMonk — more lightweight/AI-search-specific; measures SOV from recorded ChatGPT, Claude and Gemini answers and gives competitor rankings. www.answermonk.ai

What I'd measure

Don't just track "does ChatGPT mention us?" I'd build an AI SOV dashboard around:

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

Then break it down by:

• AI engine: ChatGPT, Gemini, Claude, Perplexity, Google AI
• Prompt/category: "best X," "X alternatives," "X vs Y," buying-intent questions
• Position: #1 recommendation, top 3, merely mentioned
• Sentiment/recommendation: recommended vs neutral vs negative
• Citation share: how often the AI actually cites your site
• Competitor: who is taking your visibility
• Trend: week-over-week/month-over-month SOV

This distinction matters because a brand can have a high mention rate but still lose the actual recommendation battle.

If you tell me your industry/brand and 3–5 competitors, I can also recommend which of these tools is the best fit and what prompt set I'd use to calculate your AI share of voice. siftly.aiwww.semrush.com

If your goal is specifically “what percentage of AI answers mention my brand vs. competitors?”, two tools stand out:

1. Scrunch — best fit for straightforward AI share-of-voice tracking.

It measures competitive presence from actual AI responses, lets you compare brands by prompt/topic/platform, and tracks share of voice over time. It covers ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews/AI Mode, Copilot, Meta AI and others. scrunch.com

2. Profound — stronger if you want deeper competitive intelligence.

Its Answer Engine Insights tracks share of voice, visibility rank, citation share, sentiment and position, with competitor comparisons across ChatGPT, Gemini, Perplexity, Google AI Overviews and more. www.tryprofound.comscrunch.com

What I'd choose

One important distinction: AI share of voice isn't standardized. For example, Profound calculates SOV based on your brand's mentions relative to total brand mentions, while Scrunch describes it as competitive presence—the percentage of tracked AI responses mentioning each brand. www.tryprofound.comscrunch.com

If you're evaluating these for a brand/marketing team, I can also compare Scrunch vs. Profound vs. Otterly vs. Peec AI on pricing, platforms covered, prompt volume, competitor tracking, citations, and reporting.

Yes — you’re looking for an AI visibility / “share of model” platform, rather than a traditional SEO rank tracker.

A few tools currently fit especially well:

My first pick would be OtterlyAI if your primary question is simply “What percentage of relevant AI answers mention us vs. Competitor A/B/C, and how is that changing?” Its dashboard explicitly supports “Me + Top 5 competitors,” share of voice, engine-level breakdowns, and trends. otterly.ai

OtterlyAI

If you're an enterprise brand and want deeper analysis, I'd investigate Profound. If you want something more lightweight, CitedSpy is interesting because it reports competitor SOV and runs prompts repeatedly to account for the fact that AI answers aren't deterministic. www.citedspy.com

The key metric I'd ask any vendor to provide is:

AI Share of Voice = your brand's appearances in relevant AI answers ÷ total brand appearances across you + your tracked competitors

And don't measure just mentions. Ideally track mention rate + position/prominence + sentiment + citations + SOV by prompt/topic + SOV by AI engine. That's what makes the data actionable rather than just another “visibility score.” verityscore.io

If you tell me your brand/category and 3–5 competitors, I can also recommend which of these tools is the best fit and what your AI share-of-voice measurement setup should look like.

If you mean “which tools can tell me how often my brand appears in AI assistant answers compared with competitors”, you’re looking for AI Share of Voice / AI Visibility / Generative Engine Optimization (GEO) tracking tools. These monitor a set of buyer prompts across assistants (such as ChatGPT, Claude, Gemini, Perplexity, and AI search experiences), then calculate things like brand mentions, competitor mentions, citations, and rankings. slatehq.comwww.semrush.comsiftly.ai

Some tools to evaluate:

When comparing vendors, look for:

• Prompt coverage: Can you define the exact questions your customers ask?
• Competitor benchmarking: Does it show “you vs. X vs. Y” rather than only your mentions?
• Model coverage: ChatGPT, Claude, Gemini, Perplexity, Google AI experiences, etc.
• Mention vs citation tracking: A brand being named is different from AI relying on your content as a source. slatehq.comwww.semrush.comsiftly.ai
• Trend data: AI answers change frequently, so ongoing monitoring is more useful than a one-time audit. www.cognizo.ai

A typical KPI looks like:

AI Share of Voice = your brand mentions ÷ total brand mentions across your tracked competitor set × 100 slatehq.comwww.semrush.comsiftly.ai

If you tell me your industry (e.g., SaaS, ecommerce, finance, healthcare) and whether you need enterprise reporting or a lightweight tracker, I can narrow this to the best 2–3 options.

Yes—there are now dedicated AI visibility / Generative Engine Optimization (GEO) platforms that measure exactly this: how often your brand is mentioned or recommended in AI answers relative to competitors.

My shortlist:

What I'd choose

• If you're already a Semrush customer: start with Semrush. Its Brand Performance report explicitly calculates AI SOV using both mention frequency and position, which is better than treating every mention equally. www.semrush.com
• If AI share of voice is the primary KPI: I'd look closely at Siftly or Seerly. They are built around recurring prompt measurement and competitor benchmarking rather than treating AI visibility as an add-on.
• If you're enterprise and want AI + traditional search together: DemandSphere is particularly interesting because it connects AI visibility with broader search analytics. www.demandsphere.com
• If you want to test the concept cheaply first: CitedSpy offers a free visibility checker that queries multiple AI engines and produces competitor/SOV information. www.demandsphere.comwww.citedspy.comseerly.appllmpulse.ai

One important caveat: don't measure SOV from a handful of one-off prompts. AI answers are nondeterministic, so a good system should repeatedly run a defined set of buyer prompts and report trends rather than treating one answer as ground truth. verityscore.io

If you tell me your industry + 3–5 competitors + which AI assistants matter most (ChatGPT, Gemini, Perplexity, Claude, etc.), I can narrow this to the 2–3 tools I'd actually evaluate and compare their pricing, coverage, and methodology.

If you mean measuring how often your brand appears in AI assistant answers versus competitors (ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews, etc.), you’re looking for an AI share-of-voice / AI visibility / generative engine optimization (GEO) monitoring tool. These are some of the main options: slatehq.com

When evaluating tools, I’d look for these metrics:

• AI Share of Voice: % of relevant AI answers where your brand appears vs. competitors
• Mention rank: whether you’re the first recommendation or buried lower
• Citation share: how often AI systems cite your content or domains
• Prompt coverage: whether the tracked prompts represent real buyer questions
• Model breakdown: performance differences between ChatGPT, Claude, Gemini, Perplexity, etc.
• Historical trends: whether your visibility is improving or declining over time siftly.ai

For a first pass:

• Enterprise marketing/SEO team: Profound or Semrush
• Pure AI competitive intelligence: Siftly, LLM Pulse, Honeyb-style tools
• Startup/smaller team: DoIShowUp or CitedSpy

If you tell me your industry (e.g., SaaS, ecommerce, healthcare, finance) and which competitors you care about, I can suggest the best fit and the prompts you’d want to track.

If you mean measuring how often your brand appears in AI-generated answers compared with competitors (ChatGPT, Gemini, Claude, Perplexity, Google AI answers, etc.), you’re looking for an AI Share of Voice / AI Visibility / Generative Engine Optimization (GEO) tracking tool. These tools typically run a set of buyer-intent prompts, record which brands are mentioned or recommended, and calculate your share versus competitors. slatehq.comsiftly.aiwww.semrush.com

Some options:

When evaluating tools, look for these capabilities:

• Prompt tracking: Can you define the real questions your customers ask AI?
• Competitor benchmarking: Does it compare you against named rivals, not just generic visibility?
• Platform coverage: ChatGPT, Claude, Gemini, Perplexity, Google AI answers, etc.
• Mention quality: Does it distinguish “mentioned,” “recommended,” “ranked #1,” and “cited as a source”?
• Trend reporting: Can you see whether your AI presence is growing or shrinking over time? siftly.ai

For a practical setup, I’d usually start with:

• SMB / marketing team: Semrush AI Visibility or Siftly
• Enterprise brand team: Profound or enterprise-grade AI visibility platforms
• Agency managing multiple clients: Peec AI or similar multi-project tools

The core metric you want is usually:

AI Share of Voice = (your brand mentions in tracked AI answers ÷ total brand mentions across you + competitors) × 100 slatehq.comsiftly.aiwww.semrush.com

If you tell me your industry (e.g., SaaS, ecommerce, travel, healthcare) and which AI assistants matter most, I can narrow this to the best-fit tools.

Yes. What you’re looking for is usually called AI Share of Voice (AI SOV) or AI visibility / GEO tracking.

A few tools specifically support competitor-level SOV:

• Siftly — probably the closest match to your description. It calculates your brand mentions as a percentage of total competitor mentions, with breakdowns by platform, prompt, sentiment, and position. It tracks ChatGPT, Claude, Perplexity, and Google AI Overviews. siftly.ai
• Semrush — its AI Visibility Toolkit includes an AI Share of Voice/Brand Performance view and competitor comparisons across AI platforms. www.reddit.com
• DemandSphere — more enterprise-oriented; reports brand-vs-competitor mentions, SOV, citations, sentiment, and trends across 10+ AI surfaces. www.demandsphere.com
• Ahrefs AI Visibility Checker — useful for a quick/free assessment across ChatGPT, Gemini, Perplexity, Copilot, and Google AI Overviews, though its free checker is more of a visibility report than a full ongoing SOV platform. ahrefs.com
• Mention — tracks brand mentions and competitor SOV across AI platforms, with prompt-level analysis and trends. mention.se

What I'd measure

For a serious competitive benchmark, I'd want the tool to repeatedly run a fixed library of buyer prompts, rather than just ask an AI model once whether it knows your brand. AI answers are probabilistic and can vary substantially between runs, so repeated measurement is important. arxiv.org

Your dashboard should ideally show:

One important distinction: mention SOV isn't necessarily recommendation SOV. If five brands are mentioned in an answer and yours is buried fifth, treating that as equivalent to being the #1 recommendation can be misleading. I'd therefore track both share of mentions and share of top recommendations/positions.

If you tell me your industry + 3–5 competitors + which AI assistants matter most, I can also recommend which of these tools is the best fit and what an AI SOV measurement framework for your brand should look like.

Yes. What you’re looking for is usually called AI Share of Voice (AI SOV) or AI visibility tracking: measuring how often your brand appears/recommended in AI answers relative to competitors for the same prompt set. www.semrush.com

Tools worth looking at

My shortlist: I'd start with Semrush if you want AI visibility integrated with your existing SEO/competitive workflow, or Surva.ai / Orbilo if the primary job is “tell me whether AI assistants recommend us versus these 5 competitors.”

One important caveat: don't treat a single model or a handful of prompts as definitive. AI answers can vary substantially between models and repeated runs, so a useful measurement system should use a fixed, representative prompt set, fixed competitor set, repeated measurements, and platform-by-platform reporting. Recent research also finds relatively low agreement in recommendations across AI systems. arxiv.org

If you tell me your industry + 3–5 competitors, I can recommend the best tool for your specific use case and explain exactly what metric setup I'd use.

Yes. What you’re looking for is usually called AI Share of Voice (AI SoV) or AI search visibility: the percentage of relevant AI-generated answers that mention/recommend your brand versus competitors. www.trygeometrics.comwww.skulift.com

A few tools worth looking at:

• Semrush AI Visibility / Enterprise AIO — probably the best fit if you already use Semrush. It tracks AI Share of Voice, competitor visibility, and performance across ChatGPT, Google AI Mode, Perplexity, and Gemini. www.semrush.com
• LLM Pulse — specifically focused on competitive AI positioning, including share of voice across ChatGPT, Perplexity, Gemini, Google AI Mode, and AI Overviews. llmpulse.ai
• GEO Metrics — focused directly on AI SOV, with competitor comparisons across ChatGPT, Gemini, Claude, Perplexity, Copilot, DeepSeek, etc. www.trygeometrics.com
• DeepSmith — tracks mention rate, citation rate, and share of voice and lets you see the underlying AI answers and sources. deepsmith.ai
• SkuLift — another purpose-built AI SOV platform measuring brand presence/citations against competitors across major AI engines. www.trygeometrics.comwww.skulift.com

My pick: If you want a mature marketing/SEO platform, start with Semrush. If your primary question is “When buyers ask AI about our category, how often do they choose us vs. Competitor A/B/C?”, I'd compare Semrush, LLM Pulse, and GEO Metrics.

One important caveat: AI answers are nondeterministic, so a good measurement system should run many prompts/repeated samples over time, rather than treating one ChatGPT response as your SOV. Recent research shows that apparent differences between brands can fall within the natural variability of AI responses. arxiv.org

If you tell me your industry + 3–5 competitors, I can also recommend the best tool and show you exactly how I'd set up an AI share-of-voice measurement framework.

If you mean measuring how often your brand appears in AI-generated answers compared with competitors (sometimes called AI Share of Voice, LLM visibility, or Generative Engine Optimization (GEO) tracking), you’ll want tools that monitor prompts, model outputs, brand mentions, citations, and sentiment across AI assistants.

Some tools to explore:

• Profound — Focused on measuring brand visibility in AI search experiences, including how often brands appear in AI answers and how they compare with competitors.
• Scrunch AI — Tracks how brands appear in AI-generated search results and provides visibility insights.
• Peec AI — Monitors brand presence across AI platforms and analyzes competitor visibility.
• AthenaHQ — Provides AI search visibility tracking and competitive insights.
• Otterly.AI — Tracks AI search rankings and mentions across AI answer engines.
• Writesonic GEO Platform — Offers generative engine optimization tracking and AI visibility analysis.

Typical metrics these tools provide:

• AI Share of Voice: % of tracked prompts where your brand appears vs. competitors
• Mention rate: how frequently AI assistants name your brand
• Position/rank: whether you appear first, in a list, or as a recommendation
• Citation share: how often AI answers reference your website or content
• Sentiment: whether mentions are positive, neutral, or negative
• Prompt coverage: which customer questions you win or lose

When evaluating tools, check:

1. Which AI systems they monitor (ChatGPT, Gemini, Claude, Perplexity, AI Overviews, etc.)
2. Whether they use your actual customer prompts or only generic keywords
3. Whether they measure competitor share (not just your own mentions)
4. Whether they track citations and sources, since being cited can matter more than a simple mention

If you’re building a serious competitive dashboard, a common setup is:

• 100–500 customer-intent prompts
• your brand + 5–10 competitors
• weekly AI answer sampling
• share-of-voice, sentiment, citations, and topic-level gaps tracked over time.

If you mean AI search visibility / “share of voice”—how often your brand appears in answers from ChatGPT, Gemini, Claude, Perplexity, etc., compared with competitors—the category you want is usually called AI visibility, AI search visibility, or LLM share of voice.

I can help identify a suitable tool, but I’d want to compare current offerings because this space changes quickly. Some platforms specifically track:

• Brand mentions across AI assistants
• Citation/share-of-answer versus competitors
• Which prompts/queries trigger your brand
• Competitor visibility and ranking
• Sentiment and positioning
• Changes over time and by AI model

If you want, I can search the current market and give you the 5–10 best tools for measuring AI share of voice, including pricing and which AI assistants each one tracks.

If you mean measuring how often your brand appears in AI-generated answers compared with competitors (often called AI Share of Voice, Generative Engine Optimization (GEO) visibility, or LLM visibility tracking), you’ll want a tool that monitors prompts, model outputs, brand mentions, sentiment, and competitor presence.

Some tools built for this include:

• Profound — Tracks brand visibility across AI assistants, analyzes which brands appear in AI answers, and compares performance against competitors.
• Scrunch AI — Measures how brands are represented in AI-generated search experiences and provides competitive insights.
• Peec AI — Monitors brand mentions and rankings in AI answers across platforms such as ChatGPT and other AI search experiences.
• Otterly.ai — Tracks AI search results, citations, and competitor visibility.
• Writesonic — Includes AI search visibility features alongside SEO workflows.
• Semrush — Offers AI visibility and SEO tools that can help analyze presence in AI-driven search experiences.
• Ahrefs — Useful for traditional search visibility and increasingly relevant for tracking AI-driven discovery signals.

When evaluating tools, look for these capabilities:

If you’re building a brand dashboard, a useful metric set is:

AI Share of Voice = your brand mentions ÷ total brand mentions across tracked answers

Plus:

• % of answers where you are the recommended option
• competitor win/loss rate
• citation share
• sentiment score
• top prompts where competitors outperform you

The best fit depends on your goal:

• Enterprise brand monitoring: Profound, Scrunch AI
• SEO/GEO team workflows: Semrush, Ahrefs, Writesonic
• Startup/lightweight tracking: Peec AI, Otterly.ai

If you tell me your industry, competitors, and which AI assistants matter (ChatGPT only vs. ChatGPT + Gemini + Perplexity, etc.), I can suggest a more targeted setup.

If you want to measure AI share of voice (AI SoV)—how often your brand is mentioned or recommended in AI assistants like ChatGPT, Gemini, Claude, Perplexity, and Google AI Overviews compared with competitors—there are now several tools built specifically for this.

Here are some of the leading options:

What these tools typically measure

Most AI visibility platforms track:

• Share of voice versus competitors
• Brand mentions
• Recommendation frequency
• Source citations (what websites the AI relied on)
• Prompt-level rankings
• Trends over time
• Performance by AI platform (ChatGPT vs. Gemini vs. Perplexity, etc.) www.cognizo.aiwww.frictionai.co

If you're evaluating vendors

I'd look for these capabilities:

• Coverage of multiple assistants (ChatGPT, Gemini, Claude, Perplexity, Google AI)
• Custom prompt libraries based on your customers' questions
• Competitor benchmarking
• Historical trend reporting
• Citation/source analysis
• Geographic and language segmentation
• API or dashboard exports

Enterprise vs. SMB

• Enterprise: Profound, AthenaHQ, Semrush AI Visibility Toolkit
• Mid-market: Peec AI, Otterly AI, Brand24 AI Visibility
• Budget-conscious: Many teams also build their own benchmark by running a fixed set of prompts on a schedule and calculating the percentage of prompts where each brand is mentioned. The important part is using a consistent prompt set and repeating measurements over time, since AI answers change frequently. www.cognizo.aiwww.frictionai.co

If you tell me:

• your industry,
• your approximate marketing budget, and
• whether you're B2B or B2C,

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

If you mean share of voice inside AI assistants (how often your brand is mentioned versus competitors in ChatGPT, Gemini, Claude, Perplexity, etc.), there are several tools built specifically for that emerging category, often called AI visibility, LLM SEO, or AI search analytics.

Some well-known options include:

• Profound — Tracks how often brands appear in AI assistant responses, compares competitors, monitors citations, and identifies opportunities to improve AI visibility.
• Scrunch AI — Focuses on measuring and improving brand presence across generative AI platforms, with competitive benchmarking and recommendations.
• Goodie AI — Monitors AI-generated answers and measures brand mentions and visibility over time.
• Peec AI — Tracks brand performance across AI search and assistant platforms, including competitor comparisons.
• Otterly.AI — Monitors prompts across multiple AI engines to see whether and how your brand is mentioned.
• AthenaHQ — Offers AI search visibility monitoring and competitive intelligence for brands.

If your goal is broader search share of voice (traditional SEO plus AI), established SEO platforms are also adding AI visibility features:

• Semrush
• Ahrefs
• Similarweb
• BrightEdge
• Conductor

Which is best?

• For enterprise brands: Profound or BrightEdge.
• For marketing teams that want competitive AI visibility: Scrunch AI or Peec AI.
• For agencies or SMBs: Otterly.AI or Goodie AI.
• If you already use SEO tools: Semrush or Ahrefs are worth considering as they continue expanding AI-related reporting.

When evaluating these platforms, look for:

• Coverage across multiple AI assistants (not just one).
• Prompt tracking for your industry.
• Competitor benchmarking.
• Citation/source tracking (which sites AI models rely on).
• Historical trends and alerts.
• API access if you want to integrate the data into dashboards.

If you tell me:

• your industry,
• your top 3–5 competitors, and
• whether you're targeting consumers or B2B,

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

If your goal is to measure AI share of voice (AI SoV)—how often your brand appears in AI assistant answers compared to competitors—there are several tools built specifically for that.

Here are some of the leading options:

A strong AI SoV platform should measure more than just whether you're mentioned. Look for features like:

• Share of voice across ChatGPT, Gemini, Claude, Perplexity, and Google AI Overviews
• Competitor benchmarking
• Prompt-level reporting (which questions your competitors win)
• Citation/source tracking (what AI assistants cite)
• Historical trends over weeks and months
• Geographic and language segmentation
• Sentiment or recommendation quality, not just mention count

One important note: there is no universal "AI share of voice" metric. Each platform uses its own methodology, usually based on a fixed set of prompts, repeated sampling, and counting brand mentions relative to competitors. Because AI responses vary over time, the most reliable tools continuously rerun prompts rather than relying on a one-time snapshot. www.cognizo.ai

If you tell me:

• your industry (e.g. SaaS, ecommerce, healthcare, finance),
• your competitors, and
• your budget,

I can narrow the recommendations to the tools that are the best fit for your use case.

If you're trying to measure your brand's share of voice (SOV) in AI assistant responses—that is, how often your brand is mentioned versus competitors across prompts—there are now several tools designed for this emerging category (sometimes called AI visibility, LLM SEO, or AI search analytics).

Some notable options include:

• Profound — Tracks how AI assistants mention your brand across prompts, compares visibility against competitors, and helps identify opportunities to improve AI discoverability.
• Goodie AI — Focuses on monitoring brand presence in generative AI results and benchmarking competitors.
• Peec AI — Measures brand visibility in AI search experiences and provides competitive analysis.
• Scrunch AI — Helps enterprises understand how AI assistants represent their products, messaging, and competitors.
• Otterly.AI — Tracks rankings and mentions across AI-powered search and assistant platforms.

If you're already using a traditional SEO platform, some are expanding into AI visibility as well:

• Semrush has AI-related visibility features alongside traditional search analytics.
• Ahrefs is developing AI search insights in addition to its core SEO toolkit.

What a good AI share-of-voice tool should measure

Look for a platform that can report:

• Brand mention frequency across a representative prompt set.
• Competitor mention frequency.
• Position in the answer (first mention vs. later).
• Sentiment and context of mentions.
• Citation sources used by AI assistants.
• Changes over time.
• Performance across multiple assistants (such as ChatGPT, Gemini, Claude, Perplexity, etc.).
• Prompt segmentation by topic, industry, or customer journey.

Which tool fits which use case?

• Enterprise brands: Profound or Scrunch AI tend to offer the deepest analytics and governance features.
• Marketing teams: Peec AI or Goodie AI are often easier to adopt for competitive monitoring.
• Smaller businesses: Otterly.AI is generally a more lightweight option focused on ongoing tracking.

One important caveat is that no tool can observe every response from every AI assistant. Most estimate share of voice by running standardized prompt sets repeatedly and measuring which brands appear, rather than having direct access to all user interactions. That means results are best interpreted as comparative benchmarks over a consistent set of prompts rather than absolute market share.

If your goal is to measure your brand's share of voice (SoV) in AI assistant responses versus competitors (e.g. ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews), there are several tools built specifically for this emerging category.

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

These platforms generally measure:

• Share of Voice (SoV): How often your brand appears compared to competitors.
• Brand mentions: Whether you're included in AI-generated recommendations.
• Citation analysis: Which websites or sources AI assistants rely on when mentioning your brand.
• Prompt-level tracking: Which questions you win or lose.
• Historical trends: Whether your visibility is improving over time.
• Cross-model comparison: Performance in ChatGPT vs Gemini vs Perplexity vs Claude. www.semrush.com

If you're an enterprise

Most marketing teams evaluating AI visibility today start with:

• Profound
• AthenaHQ
• Semrush AI Visibility Toolkit

These offer robust competitor benchmarking, executive dashboards, and prompt-level analysis.

If you're a smaller business

Otterly.AI and Peec AI are commonly chosen because they're simpler and less expensive while still tracking AI mentions and competitor visibility. Community discussions also frequently mention these alongside enterprise platforms. www.reddit.com

If you already use Semrush

Semrush has added an AI Visibility Toolkit that calculates AI Share of Voice automatically. It measures both how often your brand is mentioned and how prominently it appears relative to competitors across tracked prompts. www.semrush.com

If you tell me:

• your industry (e.g. SaaS, ecommerce, healthcare),
• approximate company size, and
• budget (e.g. <$500/mo, $500–2k/mo, enterprise),

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