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%
Yes — there’s now a fairly mature category for this: AI visibility / GEO platforms that measure brand share-of-voice (SOV) inside ChatGPT, Gemini, Perplexity, Claude, and other AI answers.
Best fits
Semrush AI Visibility — explicitly tracks AI share of voice, brand mentions, competitors, prompts, and AI platforms.
Zumi — particularly strong on SOV: it measures mention rate, share of voice, average position, and citation share by engine and prompt.
— purpose-built around , across ChatGPT, Perplexity, , Google AI Mode and AI Overviews.
Search Atlas LLM Visibility — tracks mentions, sentiment, SOV and where in the AI response your brand appears.
Seerly — tracks live AI responses and gives competitor SOV by category, engine and prompt set.
DemandSphere AI Visibility — combines SOV with citation authority, sentiment and traditional SERP/AI Overview data.
If your exact question is “What percentage of AI answers mention my brand vs. competitors?”, I'd shortlist Zumi, LLM Pulse, and Semrush. Zumi and LLM Pulse are especially explicit about treating SOV as a competitive metric rather than just a generic visibility score.
If you're evaluating vendors, I can also give you a comparison of 10–15 platforms by LLM coverage, SOV methodology, prompt tracking, citations, API, and pricing.
An entire category of AI Visibility and Generative Engine Optimization (GEO) platforms has emerged to track brand share-of-voice (SoV)—measuring how often, how prominently, and in what context your brand appears in AI-generated answers compared to competitors.
The leading platforms tracking LLM share-of-voice span dedicated AI trackers, enterprise intelligence suites, and major SEO tools expanding into AI tracking:
Dedicated AI & GEO Share-of-Voice Platforms
LLM Pulse : Built explicitly for AI visibility analytics, tracking mention-based, position-weighted, and citation-based share of voice across ChatGPT, Perplexity, Gemini, Copilot, and Claude.
Profound : A dedicated Generative Engine Optimization (GEO) platform that monitors brand mentions, share-of-voice, and citation sources across major LLMs and answer engines.
Otterly AI : An affordable, specialized tool focused on multi-engine AI visibility, tracking how brands rank in AI search responses.
Slate : Combines AI search share-of-voice tracking across ChatGPT, Perplexity, and Google with content-generation workflows to close visibility gaps.
Other Dedicated Tools : Platforms like Peec AI, Dageno AI, AthenaHQ , and ZipTie also specialize purely in tracking AI citations and model share-of-voice.
Major SEO & Marketing Suites with AI Tracking Features
Ahrefs Brand Radar : Tracks brand mentions and AI visibility alongside traditional search queries driving AI Overviews and chat prompts.
Semrush : Offers an AI Visibility Toolkit designed to benchmark brand and competitor performance inside generative AI platforms.
HubSpot AEO : Answer Engine Optimization tracking built directly into marketing workflows to measure brand visibility, sentiment, and competitor share-of-voice in AI search.
Several dedicated AI visibility and traditional SEO platforms track brand share-of-voice (SoV), mention rates, and citations inside LLM answers (such as ChatGPT, Perplexity, Gemini, and Google AI Overviews).
The leading platforms available for tracking AI share-of-voice break down into dedicated AI-native tools and established SEO suites:
Profound – A specialized enterprise-grade platform built specifically for Answer Engine Optimization (AEO) and tracking deep brand visibility, positioning, and share-of-voice inside generative engines.
Semrush AI Visibility Toolkit – Integrated into Semrush, this feature lets you analyze brand performance and view a dedicated share-of-voice pie chart comparing your brand to competitors across various AI systems.
Otterly AI – A user-friendly, budget-friendly monitoring tool built specifically for tracking prompt rankings, sentiment, and visibility across major AI assistants.
SE Visible (by SE Ranking) – SE Ranking’s standalone AI visibility product designed to monitor brand presence, share of voice, and net sentiment across ChatGPT, Gemini, and Perplexity.
Scrunch AI – An enterprise LLM monitoring platform that collects responses across AI models to calculate competitive presence and brand share of voice over time.
Peec AI – A focused analytics platform mapping out brand mentions, citation sources, and competitor positioning inside LLM-driven search experiences.
Ahrefs Brand Radar – An extension of Ahrefs' traditional toolset geared toward tracking brand visibility and citation research in AI environments.
Would you like to narrow these down by pricing tier , or do you need a tool that focuses specifically on a single platform like ChatGPT vs. Perplexity?
LLM Pulse — specifically distinguishes SoV from mention/citation rate and tracks it over time.
AnswerMonk — particularly focused on ChatGPT and buyer-prompt SoV.
If by “share-of-voice” you mean “what % of AI recommendations mention my brand vs. competitors?”, Peec, Profound, Zumi, and LLM Pulse are the most directly aligned.
Yes. This is now a fairly distinct AI search / GEO measurement category.
A few platforms explicitly track brand share-of-voice inside LLM/AI answers:
peec.ai — tracks Share of Voice against competitors across AI platforms, including ChatGPT, Gemini, Perplexity and Claude.
tryprofound.com — has Answer Engine Insights with competitive Share of Voice and platform-level analysis.
zumihq.com — measures mention rate, Share of Voice, answer position, and citations across AI engines.
scrunch.com — explicitly provides AI Share of Voice tracking through its monitoring and citations views.
searchatlas.com — its LLM Visibility product measures mentions, sentiment, Share of Voice, and placement in AI answers.
answermonk.ai — particularly explicit about the metric: your proportion of brand mentions in ChatGPT answers versus competitors.
llmpulse.ai — separates Share of Voice from mention rate and citation rate, which is useful if you want a more rigorous measurement framework.
The important distinction
"Share of voice" isn't standardized across these products. Some calculate:
brand mentions ÷ all competitor mentions
while others use:
answers mentioning your brand ÷ total tracked answers
and some incorporate position or citations.
So if you're looking for the platform specifically closest to “what percentage of the AI conversation does my brand own vs. competitors?”, I'd start by comparing Peec, Profound, Zumi, and LLM Pulse rather than generic AI-visibility trackers.
If you tell me your use case (e.g. enterprise brand tracking, agency reporting, or measuring your own startup against competitors), I can narrow this to the 2–3 most relevant platforms and compare LLM coverage, methodology, prompt volume, API, and pricing.
A growing category of Generative Engine Optimization (GEO) and AI visibility platforms explicitly track brand share-of-voice (SoV) and mentions inside LLM-generated answers (like ChatGPT, Perplexity, Google AI Overviews, and Claude).
Prominent platforms providing this capability include:
Profound : A dedicated AI search visibility platform that tracks how often brands appear across major answer engines, providing specific Share of Voice metrics contextualized as a percentage of total category visibility.
Semrush AI Visibility Toolkit / Enterprise AIO : Offers dedicated brand performance and prompt tracking reports to calculate your AI share of voice relative to competitors across engines like ChatGPT, Perplexity, and Google.
LLM Pulse : Monitors LLM brand visibility, mention rates, and competitor split ratios to calculate a daily/weekly AI share of voice pie across multiple models.
OptimizeGEO : Tracks competitor AI share of voice and citation wins across defined prompt sets and platforms.
Other Emerging Tools : Platforms like Recited AI, Goodie AI, Scrunch , and Evertune also specialize in tracking brand sentiment, positioning, and mention frequencies inside generative AI platforms.
If you're looking to track your brand, let me know:
Are you looking for a free/open-source tool or an enterprise commercial platform?
Which AI models (ChatGPT, Gemini, Perplexity, Claude) are your primary focus?
I can help you narrow down the best-fit tool for your stack.
Several platforms now track brand share-of-voice (SoV) inside LLM/AI-generated answers. The two most directly aligned with your wording are:
peec.ai — explicitly measures Share of Voice, defined as your share of brand mentions versus competitors in AI responses. It tracks ChatGPT, Gemini, Perplexity, Claude, Google AI surfaces, and other LLMs.
tryprofound.com — has Share of Voice within its Answer Engine Insights, including competitor comparisons and breakdowns by AI platform. Its newer Profound Index uses large-scale real user conversations to benchmark brands across categories.
rankvia.ai — calculates AI Share of Voice based on observed brand appearances in answers relative to tracked competitors, with platform-level views.
answermonk.ai — specifically tracks ChatGPT share-of-voice across buyer-prompt panels and separates different ChatGPT search modes.
onpagepilot.com — tracks competitor brand mentions and calculates daily share-of-voice across ChatGPT, Gemini, Claude, Perplexity, Grok, and Google AI surfaces.
If you're asking which one is most purpose-built for competitive LLM share-of-voice measurement, I'd shortlist Peec AI and Profound. They both go beyond simple "did the brand appear?" tracking into competitor SoV, position, citations, and platform-level analysis. Their definitions aren't identical, though, so their percentages shouldn't be treated as directly interchangeable.
If you tell me whether you're looking for this for SEO/AEO reporting, brand marketing, or an enterprise analytics stack, I can compare the main platforms by LLM coverage, methodology, prompt volume, competitor tracking, API, and pricing.
Several specialized platforms track brand share-of-voice (AI SOV), visibility, and mentions inside LLM answers across generative engines like ChatGPT, Claude, Gemini, and Perplexity.
Top Platforms for Tracking AI Share-of-Voice
Profound (Profound Strategy / Dedicated AI analytics tools): Focuses entirely on monitoring brand presence, citations, and generative engine optimization (GEO) metrics across LLMs.
Otterly AI : Tracks brand mentions, sentiment, and share of voice inside AI search and conversational answers.
Nightwatch (Nightwatch ): Offers specialized AI visibility and share-of-voice tracking workflows alongside traditional SEO metrics.
Arvow LLM Rank Tracker : Monitors brand mentions, relative visibility, and sentiment breakdown across major LLMs like GPT, Claude, and Gemini.
Dageno AI & RankZero AI : Emerging platforms built specifically to benchmark competitor prompt coverage and calculate AI share of voice.
SE Ranking / Ahrefs : Traditional SEO and digital visibility suites that have rolled out specialized tracking features for AI Overviews and LLM citations.
Key Metrics Tracked
AI Share-of-Voice (SOV): The frequency and proportion of your brand being recommended or mentioned relative to your defined competitor list for specific prompt sets.
Sentiment Analysis: Whether the LLM's context describing your brand is positive, neutral, or negative (e.g., framed as a top recommendation vs. a weak alternative).
Citation & Source Tracking: Identifying which underlying web sources or third-party articles the LLM references when pulling data about your brand.
Yes — this category is usually called AI Share of Voice (AI SOV) or LLM/AI visibility tracking.
A few platforms specifically track your brand’s share of mentions/recommendations inside LLM answers:
Seerly — tracks ChatGPT, Perplexity, Claude and other AI engines, with competitor share-of-voice and per-engine breakdowns.
Shadow — measures AI SOV across ChatGPT, Perplexity, Claude and Google AI Overviews.
Siftly — explicitly calculates brand AI SOV from prompt-level mentions and breaks it down by platform, topic and time.
Zumi — tracks mention rate, share of voice, average position and citations across multiple AI engines.
OtterlyAI / Profound / AthenaHQ — also fall into the broader AI visibility/GEO monitoring category; a recent comparison specifically identifies them as tracking ChatGPT and other LLMs.
If you're asking “what's the closest equivalent to Semrush/Ahrefs, but for brand mentions inside ChatGPT/Claude/Perplexity?” I'd look first at Profound, OtterlyAI, and Seerly. The important distinction is whether you want mention share, citation share, position/rank, or a broader AI visibility score—they aren't the same metric.
If you tell me your use case (e.g. enterprise marketing, PR, SEO/GEO agency, or startup), I can narrow it down to the 3 best platforms and their pricing/features.
A specialized category of Generative Engine Optimization (GEO) and AI visibility platforms has emerged specifically to track brand share-of-voice (SOV), mentions, sentiment, and citations across major LLMs like ChatGPT, Perplexity, Google Gemini, and Claude.
The leading platforms tracking brand share-of-voice inside LLM answers include:
Profound : Known as a comprehensive enterprise AI visibility intelligence platform that tracks how often and in what context brands appear in LLM responses.
Indexly : Focuses on full-stack AI share-of-voice, content agent auditing, and attribution for AI-driven traffic.
Otterly.AI : Provides affordable, daily multi-engine tracking to monitor brand position and competitor mentions.
LLM Pulse : Popular among agencies for tracking mention-based AI share-of-voice and white-label reporting.
OptimizeGEO : Specializes in calculating exact AI share-of-voice metrics (brand citations vs. total category citations) alongside sentiment analysis.
Peak AI : Offers competitive benchmarking and daily multi-model checks across conversational search engines.
If you're evaluating these platforms for your team, let me know:
Are you looking for an enterprise solution or an agency/SMB tool?
Which specific LLMs (ChatGPT, Perplexity, Gemini) are your primary focus?
I can help you narrow down the best fit for your workflow.
