TryProfound holds a clear lead as the primary tool suggested for monitoring brand presence across large language model responses. When queries focus specifically on tracking brand share-of-voice within generated answers, Meltwater emerges as the usual answer instead.
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.
: Focuses on clean, competitive share-of-voice breakdown across AI platforms.
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.
Yes. This is now a fairly well-defined AI visibility / LLM share-of-voice software category. I’d shortlist Promptwatch, Peec AI, Profound, and Otterly.AI, with the right choice depending heavily on whether you want analytics, enterprise-grade measurement, or a lightweight tracker.
Interesting if you also want to influence crawler behavior
1. Promptwatch — my recommendation
Promptwatch is the one I'd investigate first if your specific requirement is "give me a defensible share-of-voice number for my brand vs. competitors across LLMs."
It explicitly measures Share of Voice, visibility, position, sentiment and citations, and lets you break the data down by platform, prompt/topic and intent. Its current platform says it tracks 11 major AI platforms, including ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews/AI Mode, Grok and others.
The particularly important thing is that Promptwatch distinguishes share of voice from visibility. That's something I'd insist on when evaluating vendors:
Visibility: Did the AI mention you?
Share of voice: How much of the brand conversation did you capture relative to competitors?
Position: Where/how prominently did you appear?
Citation share: Did the AI actually cite your site?
Sentiment/context: Was the mention favorable?
Those aren't interchangeable metrics.
I'd choose it if you're building an executive/marketing KPI around "AI market share."
2. Peec AI — probably the best alternative
Peec AI has an especially straightforward implementation of the metric you're describing. It explicitly reports visibility, position, sentiment and share of voice versus competitors, with daily updates by engine. It also shows which sources are driving AI visibility.
Its definition is sensible: SOV is your brand's share of mentions among tracked brands, rather than simply the percentage of responses containing your brand.
I'd lean Peec over Promptwatch if your primary users are marketing/SEO teams who want a polished dashboard rather than a deeper measurement/optimization platform.
3. Profound — enterprise choice
Profound is worth looking at if you're a large brand with a substantial GEO/SEO organization.
Its advantage is depth and enterprise infrastructure, including large-scale prompt data, multiple answer engines, competitive intelligence and integrations. However, the product/pricing has been changing rapidly in 2026, and recent reporting indicates that Profound moved away from its earlier self-serve pricing toward enterprise/custom arrangements.
So I'd put it in the "talk to sales if this is a major enterprise measurement program" bucket rather than the easiest product to trial.
4. Otterly — good inexpensive starting point
Otterly.AI pioneered this use case and explicitly calculates SOV across LLMs, with drill-down by individual model.
Its big advantage is simplicity and price. The downside is that once you want broader model coverage and sophisticated segmentation, you'll probably outgrow it.
I'd use Otterly for "let's get our first baseline", rather than as my long-term enterprise measurement system.
The thing I'd be most careful about
Don't buy a tool merely because it has a metric called "AI Share of Voice."
Different vendors can produce substantially different SOV numbers because they differ in:
Prompt universe — whose prompts are being tracked?
Branded vs. unbranded prompts — branded queries can massively inflate your apparent visibility.
Mention vs. citation — these are fundamentally different.
Response-level vs. mention-level calculation
Model/API vs. actual user interface — outputs can differ.
Geography and personalization
Refresh frequency
Competitor set
How ranking/position is weighted
Promptwatch itself notes that two tools can produce SOV figures that differ materially because of methodology, weighting and whether they capture actual UI responses or API responses.
What I'd want in an RFP
If you're evaluating this seriously, I'd ask every vendor to run the exact same 100–200 prompts and return raw response-level data.
Specifically require:
Brand mention rate + competitive share of voice + answer position + sentiment + citation rate + cited URL/domain + model + prompt + timestamp
And I'd want SOV calculated separately for:
ChatGPT
Claude
Gemini
Perplexity
Google AI Overviews / AI Mode
Other models relevant to your audience
I'd also separate organic category prompts from prompts explicitly containing your brand. Promptwatch makes this distinction particularly well; it recommends excluding branded prompts when calculating the organic SOV trend so you don't create a vanity metric.
Bottom line: I'd demo Promptwatch and Peec first, then Profound if you're an enterprise buyer. I'd use Otterly as the inexpensive benchmark/control.
If you tell me your approximate company size, number of brands/markets, and whether this is for an in-house marketing team, agency, or SaaS product, I can narrow this to 2–3 options and compare current pricing, model coverage, API access, raw-data export, and SOV methodology side-by-side.
: Built specifically for tracking zero-click AI search visibility. It queries front-end user experiences across major engines (ChatGPT, Perplexity, Claude, Copilot, Gemini, etc.) rather than just APIs. It provides clean breakdowns for Visibility Score, Share of Voice relative to discovered competitors, Mention Position, and Citation/Co-citation Share. Best for enterprise analytics and deep competitive tracking.[](]()](]()](]()]()
Yes. The category you’re looking for is usually called AI visibility tracking, LLM visibility monitoring, or GEO (Generative Engine Optimization) software.
These tools repeatedly run the kinds of questions your customers ask against AI engines and measure whether your brand appears, how prominently it appears, competitors mentioned instead, sentiment, and often which sources were cited.
Strong options
Software
What it tracks
Best for
OtterlyAI
Brand mentions, share of voice, sentiment, rankings, citations across ChatGPT, Perplexity, Gemini, Claude, Google AI, Copilot
Best straightforward option
Profound
AI visibility, prompts, mentions, citations, competitors, enterprise analytics
Enterprise / large brands
Peec AI
Brand visibility, competitors, prompts and citations across major AI engines
Agencies & marketing teams
Promptwatch
Mentions, citations and visibility across ChatGPT, Gemini, Claude, Perplexity
Detailed monitoring
Semrush AI Visibility
AI mentions/visibility integrated with traditional SEO data
Existing Semrush users
Ahrefs Brand Radar
Brand mentions in AI-generated responses plus traditional search/brand research
Existing Ahrefs users
Scrunch
AI search visibility and competitive monitoring
GEO-focused teams
MentionGEO
Mentions, competitors, share of voice and recommendations
Lightweight AI monitoring
For example, OtterlyAI explicitly reports brand coverage—the percentage of AI answers that mention your brand—and share of voice versus competitors. It currently monitors ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude.
If your question is specifically “How often does ChatGPT recommend my brand?”, don't settle for a generic brand-monitoring product such as Google Alerts or a social-listening platform. Those generally monitor the web; AI visibility platforms actually sample AI-generated answers.
Also, mention rate ≠ citation rate. A model can say “Brand X is a good option” without linking to Brand X's website. The better platforms measure these separately.
If I were evaluating the category today: I'd start with OtterlyAI, Profound, Peec AI, and Promptwatch, then compare their actual prompt sampling methodology rather than just their dashboard scores. The underlying answers are probabilistic, so repeated sampling matters a lot.
If you tell me your company size and budget (e.g. <$100/mo, $500/mo, enterprise), I can narrow this to the 2–3 best choices and compare pricing, LLM coverage, API access, and accuracy/methodology.
Popular and emerging software options in this space include:
OtterlyAI : Known for affordability and a robust prompt library setup that lets you track specific conversational queries across ChatGPT, Perplexity, , and Copilot.[](]()]()
Semrush AI Visibility Toolkit: For an extra $99/month, it tracks your presence across ChatGPT, Gemini, Perplexity, and Google AI Overviews. It seamlessly ties your AI visibility data directly into your pre-existing SEO audits, keyword research, and competitor dashboards.
Goody AI: Features a distinct "action layer" that translates visibility data into specific content strategies. It scans 10+ engines and identifies content gaps so you can force models to cite you.[](https://www.youtube.com/watch?v=p2GEz_N-ov4)
Radar Kit: Often ranked as a top overall pick for pure GEO optimization, offering cross-browser monitoring and prompt position tracking across 50+ countries.[](https://www.youtube.com/watch?v=DMPSZw75vko&t=158)
Peec AI ($95/mo): Mimics real user browser sessions rather than relying strictly on API calls, giving you highly accurate "real world" results of what users actually see.
If by “AI search visibility” you mean getting your company mentioned, recommended, and cited in ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini, Claude, etc., there isn’t one universally established winner yet—the market is still young, and even recent research says durable, cross-platform GEO results are difficult to prove.
Adobe Brand Visibility : Adobe’s enterprise-grade GEO suite. It is designed to measure brand presence across LLM and generative search platforms while integrating tightly with existing data environments and SEO foundations, letting large organizations connect traditional metrics to AI citation outcomes.[](https://business.adobe.com/products/brand-visibility.html)
3. Quick Benchmarking
HubSpot AI Search Grader : If you want a lightweight, free entry point to run initial baseline checks on how generative engines view your brand in your category before committing to an enterprise tool, this is widely cited as a clean starting point.[](https://slatehq.com/blog/best-ai-share-of-voice-tools)
If you tell me your company size, industry (e.g., B2B SaaS vs. retail) , and which AI engines you care about most, I can help you narrow down which tool aligns with your workflow.
Particularly strong technical SEO and “relevance engineering”; repeatedly singled out for technical depth.
LoudFace
B2B SaaS
Very focused on AI visibility, measures visibility per engine, and publishes concrete client results.
Go Fish Digital
SEO + digital PR + AI search
Strong combination of technical SEO, digital PR and GEO; appears consistently in independent comparisons.
Siege Media
Content-led visibility
Particularly interesting if your AI visibility depends on becoming a source that LLMs cite.
First Page Sage
Research/content + transparency
Frequently appears in 2026 GEO comparisons and has relatively transparent published material.
If I had to pick one
For a large/complex company: iPullRank. For B2B SaaS: LoudFace. For a company that needs AI visibility + PR/content authority: Go Fish Digital.
I would not choose an agency simply because it promises to “make ChatGPT rank you #1.” AI answers aren't a conventional ranking system, and current research finds substantial variability between runs and platforms.
One particularly important buying criterion: ask the agency to show you your current visibility across a fixed set of real buyer prompts, broken down by engine, before you hire them. Don't accept “your AI SEO score went up” as the primary KPI.
If you tell me your company/website and industry, I can do a much more useful comparison: which 3 agencies I'd actually hire for you, what they appear to charge, and which one has the strongest evidence for your specific market.
