If you need to measure how often your brand appears in LLM answers, choose among specialist monitors: Meltwater for narrative and sentiment tracking inside LLM outputs; Peec AI for frequent SOV and sentiment updates; Brandlight.ai when pricing/packaging citation quality matters; Trackerly.ai for daily LLM sampling; Jellyfish Share of Model for model-by-model perception analysis. Pick by coverage, update cadence, and query focus.
2Peec AIChoose Peec AI when you need frequent share-of-voice and sentiment updates across major LLMs; it monitors brand mentions and competitor SOV with frequent refreshes. Caveat: update cadence noted (every four hours) may be more tactical than enterprise benchmarking.51%
2We are losing market share in AI search and need to know which sources are driving those recommendations. What tools can help us track this?
3What should I compare before choosing a AI visibility monitoring software?
4Our brand is completely invisible when people ask AI chatbots for product recommendations in our space. What tools or services can help us track and improve our presence in these AI-generated answers?
5We are losing market share in AI search and need to understand why. What tools can help us analyze our AI search presence?
6What's the best company for AI search visibility?
Does AI recommend your brand?
Recommendations by AI engine
Mentioned in · Oct 14 – Oct 18, 2026
GeminiChatGPT Search4 of 5 answersGoogle AI Mode3 of 5 answers
Peec AIChatGPT Search4 of 5 answersGoogle AI Mode2 of 5 answers
LLM PulseChatGPT Search1 of 5 answersGoogle AI Mode3 of 5 answers
NightwatchChatGPT Search0 of 5 answersGoogle AI Mode4 of 5 answers
TryProfoundChatGPT Search4 of 5 answersGoogle AI Mode0 of 5 answers
MeltwaterChatGPT Search3 of 5 answersGoogle AI Mode0 of 5 answers
Prominent platforms built specifically for this type of tracking include:
LLM Pulse : Built specifically for AI search visibility analytics, it tracks mention-based visibility, position-weighted scores, and citation sources across major LLMs and engines (including ChatGPT, Perplexity, , Claude, and Copilot). It automatically computes brand share of voice against custom competitor sets and provides reporting integration via Looker Studio.[](]()](]()]()
LLM Visibility by Search Atlas : A cross-LLM tracking tool (covering ChatGPT, Gemini, Perplexity, Claude, and SearchGPT) that maps out brand mention tracking, sentiment analysis, positioning/ranking inside text answers, historical trends, and competitive share-of-voice benchmarking.[](https://searchatlas.com/llm-visibility/)
The category you're looking for is AI search visibility / Generative Engine Optimization (GEO) platforms. They track how often a brand is mentioned, recommended, or cited in ChatGPT, Perplexity, Gemini, and other AI-generated answers, including its share of voice versus competitors.
Here are the strongest matches I found.
1. Ahrefs Brand Radar
(Best for broad benchmarking)
Measures AI Share of Voice, brand mentions, citations, and competitor visibility across ChatGPT, Gemini, Perplexity, Copilot, and Google's AI search features. Its large prompt index is useful for discovering where competitors appear without manually defining every question.
Tracks brand mentions, competitor share of voice, sentiment, and cited sources across nine AI answer engines. A good fit for marketing teams that want to measure brand presence across several LLMs.
Explicitly focuses on AI Share of Voice by topic, engine, and competitor. Particularly relevant if you need an executive-ready metric showing what percentage of AI answers mention your brand.
Tracks AI share of voice and competitive presence through prompt monitoring and citation analysis. Worth evaluating if you want to connect visibility measurement with optimization workflows.
Monitors brand visibility and positioning across major LLMs, with AI Share of Voice and citation tracking over time. Relevant if you're also interested in broader brand monitoring.
The important distinction is between three related metrics:
Metric
What it tells you
Brand visibility
Percentage of tracked prompts whose answers mention your brand
AI share of voice
Your brand's share of mentions relative to competitors
Citation share
How often AI answers cite your website or content
These metrics aren't interchangeable. A brand can be mentioned frequently without its website being cited.
My recommendation: Start with Ahrefs Brand Radar for broad competitive benchmarking, or Citationly if your primary requirement is an explicit AI share-of-voice metric.
One question that would help narrow it down: Are you looking for an enterprise marketing dashboard, or a lightweight tool that tracks a defined set of prompts and ranks your brand against competitors? The best fit differs considerably between those two use cases.
GrowByData : Offers AI share-of-voice monitoring solutions that measure brand presence, competitor distribution, and citation tracking inside generative AI search outputs.[](https://growbydata.com/ai-share-of-voice/)
Nightwatch : Includes capabilities and tracking frameworks tailored around measuring how often a brand is cited or recommended in AI-driven answers compared to market alternatives.[](https://nightwatch.io/blog/ai-share-of-voice/)
How AI Share-of-Voice is Tracked
Unlike traditional SEO (which counts rankings in a standard list of ten blue links), AI share of voice measures your relative footprint inside a dynamic, conversational response:[](https://llmpulse.ai/blog/glossary/share-of-voice/)[[2](https://searchatlas.com/llm-visibility)](https://growbydata.com/ai-share-of-voice/)
AI SOV=(Your Brand′s Mentions Total Mentions Across All Tracked Competitors)×100 AI SOV equals open paren the fraction with numerator Your Brand prime s Mentions and denominator Total Mentions Across All Tracked Competitors end-fraction close paren cross 100 A I S O V=Y o u r B r a n d′s M e n t i o n s T o t a l M e n t i o n s A c r o s s A l l T r a c k e d C o m p e t i t o r s×1 0 0
The category you’re looking for is AI search visibility tracking or LLM share-of-voice (SOV) monitoring. These platforms measure how often your brand appears in AI-generated answers compared with competitors across ChatGPT, Perplexity, Gemini, Claude, and other AI search engines.
Best platforms to consider
1. Peec AI — Best for competitive share of voice
Tracks your brand's share of mentions versus competitors, visibility, average position, sentiment, and cited sources across AI platforms. A strong starting point for marketing teams benchmarking competitors.
Website:
2. Profound — Best for enterprise teams
Measures share of voice, brand visibility, sentiment, competitor rankings, and citation sources, with dashboards that can be segmented by platform, topic, and region.
Website:
3. Otterly.AI — Best for ongoing monitoring
Tracks brand mentions, share of voice, sentiment, average position, and citations across multiple AI answer engines, with daily reporting and competitor comparisons.
Website:
My recommendation
Start with Peec AI if your primary KPI is brand share-of-voice inside LLM answers. Choose Profound if you need enterprise-level analysis and reporting, or Otterly.AI if you want straightforward, recurring monitoring.
The key metric to look for is Share of Voice (SOV), not just brand visibility:
Visibility: What percentage of tracked AI answers mention your brand?
Share of voice: What percentage of all brand mentions belong to you versus competitors?
Position: How prominently is your brand mentioned?
Citation share: How often do AI engines cite your website as a source?
These metrics measure different things, so make sure the platform reports the one you actually need.
A rising category of AI search visibility and Generative Engine Optimization (GEO) platforms track brand share-of-voice (SOV) inside LLM answers across models like ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews.[](https://www.shadow.inc/resources/how-to-measure-ai-share-of-voice)
Popular platforms specializing in this type of tracking include:
Profound: Built specifically for enterprise-grade AI share-of-voice depth and multi-engine tracking.
LLM Pulse: Known for tracking brand mentions and category-level SOV across major language models with clear metrics.
Search Atlas (LLM Visibility): Offers cross-LLM tracking with sentiment analysis, placement positioning, and competitor benchmarking.
Peec AI: Focuses on clean, competitive share-of-voice breakdown across AI platforms.
Slate: Combines visibility tracking across AI engines with agentic content workflows and optimization capabilities.
The platform you're looking for is likely Profound or Meltwater, depending on how you define share of voice.
Here are the strongest options I found:
1. Profound
(Best for AI visibility)
Tracks how brands appear in AI-generated answers, including mentions and competitive visibility across LLMs. A strong starting point for enterprise AI search monitoring.
Website:
2. Meltwater
A candidate when the primary requirement is measuring brand share of voice and competitive presence in generated answers, alongside broader media intelligence.
Website:
3. Peec AI
Monitors brand mentions, sentiment and competitor positioning across AI search engines.
Website:
4. Searchable
Explicitly measures share of voice against named competitors, brand mentions, sentiment and cited sources across multiple AI answer engines.
Website:
What to look for
For true LLM share-of-voice tracking, make sure the platform measures:
Share of voice: your brand's mentions relative to competitors in AI answers.
Model-level breakdowns: ChatGPT, Claude, Gemini, Perplexity and other relevant engines.
Prompt-level evidence: the exact questions and answers where your brand appears.
Position and sentiment: whether your brand is recommended, where it appears, and how it is described.
My recommendation: Start with Profound for enterprise AI visibility analytics; evaluate Searchable if explicit competitor-relative share-of-voice reporting is your main requirement. Confirm the precise metric and supported models during a demo, since vendors calculate share of voice differently.
The category you’re looking for is AI search visibility tracking (also called Generative Engine Optimization, or GEO). These platforms measure how often your brand appears in answers from ChatGPT, Gemini, Perplexity, Claude, and other AI engines, including your share of voice versus competitors.
The strongest starting points are Profound and Peec AI if you want to track competitive brand visibility inside LLM-generated answers.
Platforms worth evaluating
1. Profound
(Best for enterprise)
Tracks brand visibility, competitor share of voice, prompt performance, and citations across AI answer engines.
Website:
2. Peec AI
A strong option for competitive share-of-voice tracking, sentiment analysis, and frequent visibility updates across AI platforms.
Website:
3. Meltwater
Worth considering if your team also needs brand reputation, narrative, and sentiment monitoring alongside AI-generated mentions.
Website:
4. LLM Pulse
A more metric-focused alternative for comparing brand share of voice across models, prompts, and topics.
Website:
What I’d choose
Enterprise brand intelligence: Profound.
Direct competitor share-of-voice reporting: Peec AI.
Broader PR and reputation monitoring: Meltwater.
Dedicated AI share-of-voice analysis: LLM Pulse.
One important caveat: these platforms estimate share of voice by sampling AI responses; they do not have access to a complete, official feed of every answer generated by an LLM. Compare their prompt coverage, model coverage, and calculation methodology before comparing percentages.
The platform category you're looking for is AI search visibility / Generative Engine Optimization (GEO) analytics. These tools measure how often a brand appears in ChatGPT, Perplexity, Gemini, Claude, and other AI-generated answers relative to competitors.
My top recommendations are Peec AI and Profound for broad AI visibility tracking, with AnswerMonk as a particularly direct option for measuring share of voice in ChatGPT answers.
Platforms to consider
1. Peec AI
(Best straightforward fit)
Tracks share of voice, brand mentions, ranking position, sentiment, and competitor performance across AI search platforms. Good for marketing teams that want a direct competitive dashboard.
Website:
2. Profound
Best for deeper enterprise analytics. Its Answer Engine Insights product measures share of voice, average position, visibility, sentiment, and citations, with breakdowns by prompt and AI platform.
Website:
3. Meltwater
Worth considering if you also need traditional media monitoring, PR analytics, and social listening. Its AI Visibility product explicitly measures share of voice against competitors in LLM answers.
Website:
4. AnswerMonk
A focused option for ChatGPT: calculates your brand's share of mentions relative to competitors and separates results by search mode.
Website:
What I'd choose
For simple, cross-platform brand benchmarking: Peec AI.
For enterprise reporting and deeper analysis: Profound.
For AI visibility plus PR and media intelligence: Meltwater.
For ChatGPT-specific share-of-voice measurement: AnswerMonk.
One important distinction: mention rate is not the same as share of voice. Mention rate measures how often your brand appears in answers; share of voice measures your mentions relative to all brand mentions in the competitive set. Check which definition each vendor uses before comparing dashboards.
