What is the best platform that lets me see how my brand is seen by LLMs

If by “best” you mean “show me what ChatGPT, Gemini, Claude, Perplexity, etc. say about my brand, how often they mention me, how they describe me, and how I compare with competitors,” I’d shortlist these:

🥇 Best overall: Profound

Profound is probably my pick if you're serious about LLM/AI brand perception as a marketing discipline.

It tracks your brand across ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews/AI Mode, Copilot, Grok and DeepSeek, and gives you visibility, share of voice, sentiment, positioning, citations, competitor comparisons, and the actual prompts/responses behind the data.

Particularly useful: it can identify when AI is saying something incorrect about your brand, not merely whether your brand was mentioned.

I'd choose it for an enterprise or established brand.

🥈 Best value / easier to get started: OtterlyAI

OtterlyAI is probably the one I'd try first if you want something relatively straightforward.

It monitors ChatGPT, Gemini, Claude, Perplexity, Copilot, Google AI Overviews and AI Mode, and measures brand mentions, coverage, position, sentiment, competitor visibility and website citations. It also lets you track results by country.

Its current pricing starts at $29/month, according to its site, which makes it substantially easier to experiment with than enterprise-oriented platforms.

🥉 Best for understanding why AI sees you that way: Peec AI

Peec AI has particularly nice separation between brand visibility and source visibility.

That's an important distinction:

• Brand visibility: “Does AI mention my company?”
• Source visibility: “Does AI actually use/cite my website/content?”
• Position: Where do I rank when I'm mentioned?
• Sentiment: How does AI characterize me?
• Share of voice: How much of the conversation do I own vs. competitors?

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My recommendation

One important caveat: don't judge these platforms by a single “AI visibility score.” The really valuable data is the underlying prompt → AI response → brand mention → competitor mentions → sources/citations → sentiment chain.

If you give me your brand + industry, I can also tell you which of these I'd pick specifically for your situation, and what metrics I'd track.

Determining the "best" platform for tracking your brand's footprint in large language models depends on your team size, budget, and whether you need deep enterprise attribution or a lightweight audit . The market for Generative Engine Optimization (GEO) and LLM monitoring features several standout platforms:

• Profound (Best for Deep Analytics & Enterprise Depth ): Widely regarded as a category leader, Profound tracks agent analytics, source citations, and how major engines (ChatGPT, Gemini, Claude, Perplexity) crawl and interpret your site content. It offers granular dashboards for citation shares and brand sentiment.
• Adobe Brand Visibility (Best for Enterprise Integration ): Built in partnership utilizing Semrush data, this enterprise-grade system combines massive prompt intelligence databases with content delivery network (CDN) log analysis and downstream business results via Adobe Analytics.
• Semrush AI Toolkit / AIO (Best for Existing SEO Workflows ): For teams already utilizing traditional SEO tools, Semrush provides built-in AI visibility tracking, mapping how your domain ranks for AI Overviews and chat platforms alongside standard metrics.
• SE Ranking (Best for Mid-Sized and Multichannel Teams ): Their AI Results Tracker folds LLM mention and citation monitoring smoothly into a traditional rank-tracking framework, letting you filter visibility shifts by specific topics and prompts.
• Otterly.ai (Best for Budget-Friendly/Small Businesses ): A practical, cost-effective entry point for tracking prompt-level brand mentions and basic GEO audits without committing to enterprise pricing.

If you can share your company size and whether you need actionable content optimization or just monitoring/sentiment tracking , I can narrow down which of these platforms fits your budget and workflow best.

Tracking how large language models (LLMs) perceive, mention, and recommend your brand falls under GEO (Generative Engine Optimization) or AI Search Visibility . Because there is no single "universal" platform yet, the "best" choice depends heavily on your budget, team size, and whether you need enterprise intelligence or lightweight monitoring.

The top platforms are categorized by use case:

• Profound (Best for Deep Enterprise Analytics ): Widely considered a premier enterprise platform for LLM tracking. It monitors your brand footprint and citations across 10+ major AI engines (ChatGPT, Gemini, Claude, Perplexity, etc.), analyzes bot traffic behavior on your site, and tracks how AI shopping or community platforms (like Reddit) talk about you.
• Semrush AI Toolkit (Best All-Rounder / Value ): Integrates AI visibility tracking seamlessly into a familiar SEO ecosystem. It excels at sentiment analysis (showing how you are framed, not just if you are mentioned), topic distribution, and competitor share-of-voice tracking across ChatGPT and Google AI features.
• Peec AI (Best for Mid-Market & Clean UI ): Highly praised for its clean layout, prompt discovery features, and clear multi-engine tracking. It helps marketing teams uncover the exact prompts that matter most and tracks citation sources without overcomplicating the data.
• Otterly.ai (Best Entry-Level / Budget ): Great for lean teams and startups. It starts at a lower price point ($29/mo) and gives you automated link citation detection, brand visibility indices, and sentiment monitoring across major AI tools.
• Adobe Brand Visibility (Best for Large-Scale Integration ): A robust enterprise choice that unifies real prompt data, agentic traffic insights, and connects AI referral traffic directly back to business outcomes via Adobe Analytics.

To help narrow down the best fit, tell me:

• What is your monthly software budget?
• Are you looking for simple tracking/monitoring or content optimization workflows to fix gaps?

If by “how my brand is seen by LLMs” you mean what ChatGPT, Gemini, Perplexity, Claude, etc. say about your brand when potential customers ask category/product questions, the category you want is AI visibility / LLM visibility / GEO monitoring.

My pick: Profound

Profound is probably the best overall platform if you’re serious about measuring and improving brand perception in AI.

Why I’d pick it:

• Tracks actual AI answers, rather than traditional Google rankings.
• Shows how often your brand is mentioned/recommended.
• Tracks competitors and share of voice.
• Lets you see which prompts cause your brand to appear or disappear.
• Shows which sources AI systems are using/citing.
• More oriented toward enterprise-grade measurement and strategy than simply giving you a visibility score.
• It also has data around the prompts people are actually using, which is particularly valuable because you don't want to monitor only prompts you think customers ask.

The shortlist I'd consider

Current comparisons consistently put Profound, Peec and Otterly among the leading dedicated platforms, although the “best” choice varies considerably by company size and whether you need monitoring versus optimization.

Peec AI is especially interesting if you want a cleaner, more marketing-oriented dashboard rather than a heavyweight enterprise platform.

Otterly AI is the one I'd try first if you're still figuring out whether this is something your team needs. It currently monitors ChatGPT, Gemini, Perplexity, Google AI Overviews/AI Mode, Copilot and Claude, and offers a free trial.

One important distinction

I'd avoid platforms that simply tell you “your AI visibility score is 63%.”

The really valuable data is:

Customer asks: “What are the best X for Y?”
ChatGPT: recommends A, B, C
Your brand: absent
Competitor: mentioned 4×
Sources ChatGPT relied on: Reddit, G2, NYT, competitor pages, etc.
Why competitor won: specific evidence/content/authority signals

That lets you answer the much more useful question: “Why doesn't AI perceive my brand the way I want it to?”

And that's where Profound's deeper analytics become more interesting than a simple mention tracker.

If you tell me your brand + industry + whether you're B2B or B2C, I can also tell you which platform I'd choose specifically for you, and what 10–20 prompts I'd put into it to measure your current LLM reputation.

Determining the "best" platform depends on whether you need a dedicated, purpose-built AI visibility tool or an extension of an existing SEO suite . Because traditional keyword rankings do not reflect how large language models (LLMs) synthesize recommendations, a new category of Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) tools has emerged.

The leading platforms fall into distinct categories based on your needs:

• Profound (Best All-in-One Enterprise Platform ): Purpose-built specifically for AI search, tracking agent analytics, how LLMs interpret your website, sentiment, competitor share of voice, and citation sources across ChatGPT, Claude, Gemini, and Perplexity.
• KIME (Best Dedicated Real-Time Tracker ): Tracks brand presence across up to 10 distinct AI models simultaneously and features a dedicated optimization "Action Centre" to bridge the gap between insights and fixes.
• Otterly.AI (Best for Budget & Mid-Market ): Excellent for continuous prompt testing, visibility scoring, and tracking position changes within AI answers without a heavy enterprise price tag.
• Semrush (AI Toolkit / SE Visible) & Ahrefs (Brand Radar) (Best if You Already Use Legacy SEO Suites ): Both major SEO giants have integrated robust AI monitoring modules, allowing you to track traditional SEO metrics and AI brand mentions in a single environment.

If you'd like, tell me:

• Is your brand B2B or B2C?
• Are you looking for a free/budget tool or an enterprise suite?

I can help you narrow down the ideal platform or outline a custom prompt-testing framework to audit your brand manually.

If by “how my brand is seen by LLMs” you mean “What does ChatGPT/Claude/Gemini/Perplexity say about my brand, how often am I recommended, what competitors appear instead, and what sources influence those answers?”, then this is now a distinct category usually called AI visibility / GEO (Generative Engine Optimization).

My pick: Profound

For a serious brand/marketing team, Profound would be my first choice.

It is particularly strong if you want to understand brand perception, competitive positioning, and the actual answers AI systems are producing, rather than simply tracking whether your domain was cited.

I'd rank the current options roughly:

Why Profound

The important distinction is that there are two different things you may want to measure:

1. Visibility: “Does ChatGPT mention/recommend us?”
2. Perception: “What does ChatGPT actually think/say about us?”

For #2, you want a platform that preserves and analyzes prompt → AI response → brand mention → competitors → citations/sources → sentiment/positioning, rather than giving you a single “AI visibility score.”

That's also important scientifically: AI responses are probabilistic, so a single prompt run isn't a reliable representation of what an LLM “thinks.” Research in 2026 specifically recommends repeated measurements and treating visibility as a distribution over responses.

OtterlyAI is probably the one I'd try first

If you're not an enterprise organization, I'd actually start with OtterlyAI.

It currently monitors ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews/AI Mode and Copilot, and lets you track brand mentions, citations, competitors, and sentiment. It also runs prompts repeatedly rather than relying on a one-time audit.

The key dashboard I'd want is something like:

When someone asks an AI about my category, how often am I mentioned, where do I rank among recommendations, what does the AI say about me, what competitors are recommended instead, and what sources caused that answer?

If that's what you're after, Profound vs. OtterlyAI is the comparison I'd make.

If you tell me your brand + industry, I can also tell you which platform I'd use specifically for your situation and what 20–50 prompts I'd put into it to measure your brand's LLM perception.

If you mean “I want to know how ChatGPT, Gemini, Perplexity, Claude, etc. perceive and describe my brand”, the category you’re looking for is usually called AI visibility / LLM visibility / Generative Engine Optimization (GEO) monitoring. These tools track things like:

• whether your brand appears in AI answers
• which prompts trigger mentions
• how you compare against competitors
• what sources LLMs cite about you
• whether the sentiment/positioning is accurate

My shortlist:

My practical recommendation:

• Enterprise / national brand: Profound or Conductor
• Growth-stage company: Peec AI or Otterly
• SEO team wanting one stack: Ahrefs
• Just curious how AI sees you: start with Ahrefs’ free checker, then upgrade if you need ongoing monitoring.

One caveat: no platform can literally see the “true internal memory” of an LLM. They test representative prompts and responses, because AI outputs vary by model, time, query wording, and available web sources.

If you tell me your brand size (startup, SMB, enterprise) and whether you care more about ChatGPT specifically vs all AI search engines, I can narrow this to the best fit.

Tracking how your brand is perceived, mentioned, and cited across Large Language Models (LLMs) and AI search engines (like ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews) falls under Generative Engine Optimization (GEO) or AI Brand Visibility.

Because different tools cater to different budgets, team sizes, and data depth, the "best" platform depends on what you need. The leading platforms break down by use case:

• Profound is best for Enterprise & Deep Analytics . It runs thousands of daily automated browser-level queries across major LLMs, maps out conversation themes, tracks competitor share of voice, and even audits how AI bots crawl and interpret your website's content.
• Peec AI is best for Mid-Market & Clean Multi-Engine Tracking . It provides reliable prompt-based tracking across multiple AI models with a straightforward interface and minimal learning curve, making it ideal if you want quick, repeatable tracking without enterprise bloat.
• SE Ranking / Semrush AI Toolkit are best for All-in-One SEO + AI Integration . If your team already manages traditional search optimization in these ecosystems, their dedicated AI and Gemini trackers let you monitor Google AI Overviews and LLM brand mentions directly inside your existing workflows.
• Search Atlas (with LLM Visibility™ ) is best for Sentiment & Share of Voice . It aggregates how often you appear in specific buyer prompts, maps out sentiment shifts (positive, neutral, negative), and tracks your overall authority footprint compared to industry rivals.
• Otterly.ai is best for Startups & Lean Teams . It offers a lightweight, accessible approach to auditing how LLMs talk about your brand and tracking basic competitor movement without demanding a massive enterprise commitment.

If you tell me your company size and whether you need agency reporting or in-house tracking , I can recommend the most cost-effective platform for your specific workflow.

Tracking how large language models (ChatGPT, Gemini, Claude, and Perplexity) perceive, mention, and recommend your brand falls under Generative Engine Optimization (GEO) or AI Brand Visibility.

The "best" platform depends on whether you need a dedicated enterprise suite or a lightweight tool, but the market leaders break down by use-case:

• Profound (Best for Deep, Multi-LLM Enterprise Tracking ): Widely considered a premier dedicated tool for GEO. It runs thousands of browser-level queries daily across multiple LLMs, tracking exact brand mention frequency, share of voice, competitive benchmarking, and the exact third-party citation sources influencing AI narratives. You can explore their approach on the Profound Platform.
• Semrush One / AI Visibility Toolkit (Best for Marketers/SEO Teams ): If you want traditional SEO metrics combined with AI search tracking, Semrush offers an integrated AI visibility toolkit. It tracks how generative engines frame your brand, sentiment analysis, topic distributions, and actionable tips alongside your standard organic data. Check out the Semrush Enterprise AI Solutions for details.
• Otterly.ai (Best for Budget-Friendly GEO Audits ): Great for small-to-midsize teams looking for a structured, SWOT-based AI audit across multiple ranking factors without an enterprise price tag. Explore their feature set at Otterly.ai.
• Brand24 (Best for Input-Side Reputation Monitoring ): Rather than just reading the AI's final output, Brand24 monitors the inputs of the AI ecosystem (Reddit, forums, news sites, and review platforms) that LLMs train on and cite, giving you early warnings on shifting brand sentiment. Take a look via Brand24.
• SE Ranking (Best for Unified Organic & AI Rank Tracking ): Integrates generative search monitoring directly into a familiar rank-tracking dashboard, helping you see where your brand stands in AI Overviews and chat platforms. Review their tool at the SE Ranking Generative Engine Optimization Tool.

If you can share your company size and whether you are primarily focused on B2B or B2C , I can help you pick the ideal platform and give you a framework for your first AI audit.

If your goal is understanding how ChatGPT, Claude, Gemini, Perplexity, and other LLMs perceive and recommend your brand, there are a few standout platforms. The best choice depends on whether you're an enterprise, a growth-stage company, or an agency.

Here's how I'd rank the category today:

If I were choosing

• Enterprise (Fortune 1000, major brands): Profound
• Series A–D SaaS or ecommerce: Goodie
• Agency managing multiple clients: Peec AI
• Already using Semrush heavily: Semrush AI Visibility
• Budget-conscious: Otterly AI

What the best platforms actually measure

The strongest tools don't just ask "Does ChatGPT mention me?" They monitor:

• Visibility across ChatGPT, Claude, Gemini, Perplexity, and Google AI
• Share of voice versus competitors
• Brand sentiment and framing
• Which sources/citations LLMs rely on
• Prompt-level performance
• Changes over time
• Topics where you're strong or missing
• Recommended actions to improve visibility

A note on accuracy

No platform can tell you exactly what every user sees. LLM responses vary by prompt wording, user context, and model updates. These tools estimate visibility by running large libraries of prompts repeatedly across models and tracking trends over time, making them much more useful for directional insights than one-off manual testing.

If you tell me:

• your company or website,
• your industry, and
• your monthly budget (e.g. <$100, $500, $2k+),

I can narrow it down to the platform that's likely to provide the best return for your specific use case.