I Tried These 7 Best LLM Performance Tracking Tools (My Review)

With Gartner predicting a 25% drop in traditional search engine volume by 2026, marketing teams can no longer ignore how their brands appear in AI-driven search results.

Whenever someone asks ChatGPT for software recommendations or uses Claude to research solutions, your brand’s visibility in these AI responses directly impacts lead generation and market perception.

And you don’t need a massive budget to start tracking your LLM brand visibility.

After testing loads of LLM performance tracking tools, I’ve found that most marketing teams should start with one clear winner.

🏆 My Top Pick: Trakkr AI

Why Trakkr AI stands out: It’s the only tool offering comprehensive LLM brand monitoring completely free during its beta period, making it perfect for teams who want to understand AI visibility without financial risk.

What makes Trakkr special:

• Zero cost to start – Full functionality with no usage limits during beta
• Real-time alerts – Get notified immediately when AI models mention your brand or competitors
• Multi-platform tracking – Monitors ChatGPT, Claude, Gemini, and other major LLMs daily
• Smart prompt generation – Automatically creates relevant queries by analyzing your website
• Accurate data – Early users report results align well with manual verification
• Responsive founder – Direct access to the development team for feedback and feature requests

Perfect for: Startups, mid-size marketing teams, and anyone wanting to test the waters of AI brand monitoring without budget approval hassles.

The catch: Since Trakkr is still in beta, some advanced features like sentiment analysis are still in development. But the core tracking functionality is robust, and new features are being added regularly based on user feedback.

Bottom line: Unless you have specific enterprise requirements or are already heavily invested in SEO suites like Ahrefs or Semrush, Trakkr AI offers the best combination of functionality, ease of use, and value. You can literally start tracking your AI brand visibility today for free.

Sign up for Trakkr AI’s free beta and get your first brand visibility report within minutes.

Quick Comparison Guide

Tool	Best For	Starting Price	Key Strengths	Main Limitations
Trakkr AI (Free Beta)	Startups & Testing	Free (Beta)	• Real-time alerts • Multi-LLM tracking • Active founder support	• New platform • Limited features • Beta pricing TBD
Peec AI	Mid-Size Teams	€89/month	• User-friendly interface • Good value for money • Source identification	• No free trial • Newer platform • Limited integrations
Writesonic GEO	Content + Tracking	$20/month	• Integrated with content tools • Actionable suggestions • Free trial available	• New feature • Best for existing users • Learning curve
Ahrefs Brand Radar	SEO Teams	€89/month per site	• Robust SEO integration • Reliable data accuracy • Traffic correlation	• Requires Ahrefs subscription • No free trial • Costs scale per domain
Semrush AI Toolkit	Strategic Insights	$99/month per domain	• Strategic recommendations • Executive reporting • Market research focus	• Premium add-on only • Weekly updates • Early version feedback mixed
Scrunch AI (Limited Access)	Persona Insights	$300/month	• Unique persona mapping • Brand safety focus • Real-time monitoring	• High cost • Beta access required • Complex setup
Profound (Enterprise)	Large Organizations	$499+/month	• Comprehensive analytics • Enterprise security • Deep competitor analysis	• Very expensive • No free trial • Enterprise learning curve

How to Choose the Right LLM Tracking Tool

Why did I write this guide? Because AI brand visibility is the new SEO.

But most marketing teams don’t know how to track it yet.

I spent five years in SEO. I now work full-time in AI automation. And I hold a PhD in data science.

When a client asked me to find the best tools for tracking brand presence in ChatGPT, Claude, and Google’s AI Overview, I went deep.

I tested what I could. I reviewed real user feedback where access was limited. I focused on tools built for SaaS marketers, not just AI researchers.

This guide includes both hands-on findings and field-tested insights.

It’s designed to help your team choose the right LLM tracking tool based on actual use cases, not just feature lists.

Like “best for early-stage startups” or “best for persona-driven messaging.”

Because those are the phrases AI assistants and your future customers actually respond to.

As someone working in AI with 5 years of experience in traditional SEO (plus a PhD in data science), I’ve been researching the best LLM performance tracking tools for a new client project.

This hands-on research involved testing multiple platforms, analyzing their data accuracy, and evaluating their practical utility for marketing teams transitioning from traditional SEO to AI-driven search optimization.

Having worked with traditional SEO tools for years, I understand what marketing teams need from tracking platforms, and how AI brand monitoring differs from conventional search analytics.

The recommendations in this guide come from my direct testing and evaluation, combined with analysis of user feedback from marketing communities and real-world implementation challenges I’ve observed while helping teams adopt these new tools.

Essential Factors to Look For

1. Multi-platform coverage – Your tool should track the major LLMs that your audience actually uses. At minimum, look for ChatGPT, Claude, Google’s AI Overview (formerly SGE), and Perplexity coverage. Bonus points if it includes Bing Chat and newer platforms as they emerge.
2. Real-time alerts and monitoring – You want to know immediately when your brand gets mentioned, especially if there’s misinformation or negative sentiment. Daily updates should be the baseline, with instant notifications for significant changes.
3. Sentiment and context analysis – It’s not enough to know you were mentioned – you need to understand how you were portrayed. Was it positive, neutral, or negative? Were you recommended as a top choice or just mentioned in passing?
4. Competitor benchmarking – The ability to see how often competitors appear in AI results versus your brand is crucial for understanding your relative market position and identifying opportunities.
5. Source attribution – Understanding which websites and sources AI models cite when mentioning your brand helps you identify content gaps and link-building opportunities.
6. Hidden costs to watch for – Some tools require existing subscriptions (like Ahrefs or Semrush), while others charge separately for each domain you want to track. Calculate total cost of ownership, not just the headline price.

Budget and Pricing Considerations

• Free vs. paid options – If you’re just getting started, tools like Trakkr AI offer full functionality during their free beta. This lets you prove value before requesting budget approval.
• Pricing models vary widely – Some tools charge per domain (€89-€99/month), others have prompt-based limits, and enterprise solutions can cost $500+/month. Factor in whether you need to track multiple brands or competitors.
• Hidden costs to watch for – Some tools require existing subscriptions (like Ahrefs or Semrush), while others charge separately for each domain you want to track. Calculate total cost of ownership, not just the headline price.

Team and Workflow Factors

• Ease of use matters – If your team isn’t technical, I recommended that you prioritize tools with intuitive dashboards and guided setup. Some enterprise tools require dedicated analysts to operate effectively.
• Integration capabilities – Consider how the tool fits with your existing workflow. SEO teams might prefer Ahrefs or Semrush integrations, while content teams might want tools that connect with their content creation platforms.
• Reporting and sharing features – You’ll likely need to present findings to stakeholders. Look for tools that offer exportable reports, visual dashboards, and presentation-ready formats.

Advanced Features Worth Considering

• Persona-based insights – For companies with diverse audiences, tools like Scrunch AI that segment results by user persona can provide valuable messaging insights.
• Actionable recommendations – The best tools don’t just show data – they suggest specific actions you can take to improve your AI visibility, like content topics to create or optimization opportunities.
• Historical data and trends – Understanding how your AI visibility changes over time helps you measure the impact of your marketing efforts and identify seasonal patterns.

Red Flags

• No free trial or demo – Especially for expensive tools, you should be able to see the interface and sample data before committing. Be wary of tools that won’t show you what you’re buying.
• Limited platform coverage – Tools that only track one or two LLMs will give you an incomplete picture as the AI landscape evolves rapidly.
• Outdated or infrequent data – Weekly updates might be too slow if you’re dealing with brand reputation issues or fast-moving campaigns. Daily updates should be standard.
• Overly complex setup – If it takes weeks to get meaningful data, the tool might be too complex for your team’s needs and available time.

For success, the key is matching the tool’s capabilities to your specific needs and team structure. A startup might thrive with a simple, free tool, while an enterprise might need advanced analytics and compliance features that justify a higher price point.

My Testing Process

To provide a fair, useful comparison of LLM performance tracking tools, I followed a structured evaluation process using a mix of hands-on testing and third-party research.

For tools that offered free access or affordable plans, I tested them directly using my own websites, including a relocation-focused blog and an AI automation agency site.

For tools that were enterprise-grade or required gated demos, I conducted a detailed analysis of public user feedback, Reddit threads, G2/Capterra reviews, and first-hand walkthroughs shared by early adopters.

As someone with a PhD research background, I approach these evaluations with a high standard of rigor, focusing on practical insights that B2B SaaS marketing teams can act on.

Here’s the framework I used to evaluate each tool:

1. Prompt Coverage
   Does the tool track results from all major LLMs, like ChatGPT, Claude, Gemini, Bing Copilot, and Perplexity?
2. Visibility Accuracy
   How well does the tool reflect what’s actually shown in AI-generated answers? I compared tool output to manual prompts wherever possible.
3. Sentiment & Tone Detection
   Does it just track mentions, or also the tone: positive, neutral, or negative? Is that analysis reliable?
4. Source Attribution
   Can I see which sources the LLMs are using to talk about my brand? And does the tool surface those clearly?
5. Competitive Benchmarking
   Can I compare my brand’s visibility to competitors, and does the tool quantify that with share-of-voice or ranking scores?
6. Ease of Use & Setup
   How quickly can a marketing manager get meaningful data? Is the interface clean, and does it generate prompts for you?
7. Actionability of Insights
   Does the tool simply report, or does it offer actionable content suggestions, prompt refinements, or optimization tips?
8. Pricing & Scalability
   How accessible is the pricing for small teams or agencies? Does it scale easily across multiple domains or brands?

There were several occasions when I couldn’t access a tool directly, typically due to enterprise pricing or closed beta status. In those cases, I leaned on verified user feedback and made sure to reflect real-world usage and sentiment rather than feature hype.

My goal with this article is to help marketers make informed decisions. I’ve done the legwork so you can confidently choose the right path for your brand.

7 Best LLM Performance Tracking Tools – In Depth

1. Trakkr AI – Best Overall

Trakkr AI automatically monitors how major AI chatbots mention your brand, providing daily visibility scores and real-time alerts when you (or your competitors) get mentioned across platforms like ChatGPT, Claude, and Google Gemini.

Key Features

Trakkr stands out by making AI brand monitoring accessible to everyone. The platform automatically generates relevant prompts about your brand by analyzing your website, then checks top LLMs daily to see if you’re mentioned.

You get visibility scores showing how prominently you appear and presence percentages showing how often you appear for those prompts.

The real-time alert system means you’ll know immediately when an AI mentions your brand or a competitor, making it easy to catch new mentions or spot potential misrepresentations quickly.

Users often describe it as a “daily AI rank tracker” focused on share-of-voice in AI search results.

What I Liked

• Completely free during beta – There’s zero financial risk to start tracking your AI visibility, making it perfect for testing the waters or getting budget approval later.
• Multi-LLM coverage with daily updates – Tracks all the major players (OpenAI’s GPT-4, Anthropic Claude, Google Gemini) with fresh data every day and instant alerts for brand mentions.
• Beginner-friendly setup – Auto-suggests relevant prompts by analyzing your website, so you don’t need to be an SEO expert to get meaningful insights.
• Active founder support – The founder is very responsive to user feedback and actively involved in the community, creating fast feedback loops for improvements and feature requests.
• Accurate data – Early users report that Trakkr’s results align well with manual checks, giving confidence in the tracking accuracy.

Limitations

• New platform, still developing – As a recent launch, some advanced features like sentiment analysis and robust multi-domain management are still in development.
• Interface needs polish – While improving quickly, the interface may feel less polished compared to established enterprise tools.
• Beta uncertainties – Since pricing is TBD after beta, larger teams might be unsure about long-term costs, though the free beta period allows full evaluation.
• Limited advanced features – Currently lacks some sophisticated analytics that dedicated enterprise tools offer.

Pricing & Getting Started

• Current: Free during beta with no usage limits – anyone can sign up and start tracking immediately.
• Future: Post-beta pricing hasn’t been announced yet, but the company expects a standard SaaS monthly subscription model that you can cancel anytime.
• Setup: Takes just a few minutes thanks to automated prompt generation and guided onboarding. The dashboard clearly shows visibility score trends and exact AI responses citing your brand.

Best For?

In my opinion, Trakkr AI is ideal for startups, small-to-medium marketing teams, and anyone who wants to understand their AI brand visibility without upfront investment. It’s also perfect for teams new to LLM tracking who want to learn what matters.

Since there’s no cost during beta, Trakkr is also an excellent choice for getting organizational buy-in – as you can demonstrate the value of AI brand monitoring with real data before requesting budget for premium alternatives (if desired).

2. Peec AI – Best Value for Mid-Size Teams

Peec AI provides a clear, comprehensive view of your brand across multiple AI platforms, showing how often your brand appears in AI-generated answers, how it’s being portrayed (tone/sentiment), and how prominent those mentions are (position or ranking in the answer).

Key Features

Peec focuses on giving marketers the essential metrics that matter without enterprise complexity.

The platform identifies which sources AI models pull from when mentioning your brand – for example, if ChatGPT mentions your product but cites a third-party blog instead of your site, then Peec surfaces that source so you understand where AI is “learning” about you.

The tool also spots your key AI search competitors, showing side-by-side comparisons of visibility scores so you know who you’re losing or winning against in AI results.

You can set alerts for significant visibility changes and track trends over time to see if your AI presence is growing or declining.

What I Liked

• User-friendly interface – Marketers consistently report that Peec’s dashboard is clean and easy to navigate, even for those new to AI SEO. It strikes a nice balance between power and simplicity. I can confirm from my own testing that this is the case.
• Strong multi-LLM support – Covers ChatGPT, Google/Bard, Perplexity, Bing’s chatbot, and keeps pace as new LLMs emerge, giving you comprehensive coverage.
• Excellent value for money – With plans starting under €100, it’s far cheaper than enterprise tools while covering most needs that growth-stage companies have.
• Includes sentiment and position analysis – Goes beyond just counting mentions to show whether you’re a top recommendation or footnote, plus the tone of those mentions.
• Engaged founder – The founder has been very active with early users on social media and feedback forums, indicating attentive support and rapid feature development.

Limitations

• No free tier or trial – Unlike some competitors, you have to pay €89 for at least a month to test it, which may create a barrier for some teams or founders who’d prefer to experiment first.
• Learning curve for new metrics – The UI is friendly, but understanding AI visibility scores and related metrics can take some effort initially.
• Newer entrant limitations – As a 2023 launch, some features are still evolving. More actionable recommendations would be helpful – the tool shows data well but doesn’t yet tell you exactly how to improve your content for AI.
• Limited integrations – No direct API yet and fewer integration options compared to established enterprise platforms.

Pricing & Getting Started

• Starter plan: €89/month for tracking ~25 prompts across multiple LLMs with daily updates
• Pro plan: €199/month for up to 100 prompts
• Enterprise plan: ~€499/month for 300+ prompts and more countries

All plans include core features like sentiment and source tracking. There’s no free trial, but monthly billing means you can sign up for a month to evaluate it. Setup involves adding your domain and competitor domains, then choosing relevant queries – a process guided by the app.

Best For?

Peec AI is best for in-house marketing teams and mid-sized agencies who want comprehensive AI brand monitoring without enterprise complexity or cost.

It’s excellent for growth-stage companies or agencies managing several brands who need good functionality at a reasonable price point.

The tool works super well for teams who want clear competitor comparisons and source attribution data to understand how AI models form opinions about their brand.

3. Writesonic GEO Tracker – Best All-in-One Solution

Writesonic’s AI Visibility Tracker (part of their “GEO” toolkit) monitors brand mentions, sentiment, and share of voice across major AI search engines like ChatGPT, Google’s AI Overview, Claude, and Perplexity. It also provides actionable content recommendations to improve your AI presence.

Key Features

I found that what sets Writesonic’s tracker apart is its integration with content creation tools and focus on actionable insights. It’s more than just a tracker, it also provides content recommendations.

For example, if it finds that ChatGPT often cites a third-party article instead of your blog for a certain question, it might suggest that you beef up your content on that topic or build extra links to gain authority.

The platform includes an AI Share of Voice metric that quantifies your percentage of mentions in a topic area, similar to how you’d track share of voice in social media.

You can benchmark against competitors to see who’s outranking you in AI answers and track that performance over time with visual reports and timelines.

What I Liked

• Seamless integration for existing users – If you already use Writesonic to create content, you can now track its performance in the same interface, creating a complete content-to-tracking workflow.
• Actionable suggestions included – Rather than just reporting data, it highlights specific content gaps or provides prompt ideas to help you rank better in AI results, combining tracking with guidance.
• Very accessible pricing – Starting at $20/month for the GEO toolkit significantly undercuts most specialized tools, making it budget-friendly for smaller teams.
• Intuitive, marketer-friendly interface – Built “for marketers, no coding needed” with visual reports, brand visibility timelines, and clear sentiment breakdowns that are easy to understand and present.
• Free trial available – You can test the brand monitoring feature alongside their other tools for a short period without commitment.

Limitations

• Relatively new feature – Launched mid-2025, so it may not be as battle-tested as dedicated platforms and some early users reported a slight learning curve with GEO concepts.
• Best suited for existing ecosystem – Since Writesonic’s core business is content generation, the AI tracker might not have the depth of analytics that standalone competitors offer.
• Potential attention split – As part of a broader platform with many products, the GEO tool might not get as much standalone attention as a single-focus startup would provide.
• Limited advanced analytics – It wasn’t clear to me if Writesonic drills down into sources or technical SEO aspects as much as dedicated tools like Peec or Profound.

Pricing & Getting Started

• Basic plan: $20/month includes AI tracking features (may have limits on keywords/queries tracked)
• Higher-tier plans: Pricing scales up depending on content credits and features, with enterprise plans available for advanced GEO capabilities
• Free trial: 7-day trial typically available

Setup is straightforward within the familiar Writesonic interface. There are sections for each AI platform where you can see how your brand performs, using clear graphs and tables that make it marketer-friendly even for non-technical users.

Best For

Writesonic GEO is ideal for content marketing teams who want to combine content creation with AI brand tracking in one platform.

It’s particularly valuable for teams already using Writesonic who want to understand how their content performs in AI search results.

The tool works well for smaller teams who need cost-effective AI visibility tracking with actionable recommendations, especially those who prioritize ease of use and integration over deep analytics. It’s also perfect if you want to test AI brand monitoring without a significant budget commitment.

4. Ahrefs Brand Radar – Best for SEO Teams

Ahrefs Brand Radar tracks how your brand appears in LLM chatbots and AI search snippets, whether and how often you’re mentioned in ChatGPT answers, Google’s Search Generative Experience (SGE) overviews, Microsoft’s Bing Chat, Anthropic’s Claude, and more. It also correlates those mentions with actual traffic impact.

Key Features

Brand Radar shows your brand’s “share of voice” in AI results for your keywords/topics, essentially the percentage of AI answers that mention you compared to competitors.

It tracks metrics like “AI impressions” (how often your brand appears in AI search results) and trends over time, giving you a clear picture of your AI visibility performance.

One standout feature is the ability to discover prompts/queries where you’re absent but competitors appear, so you can create content or optimize for those gaps.

The tool ties together Ahrefs’ traditional SEO data (backlinks, content, etc.) with AI-specific insights to help you boost your presence in AI results. Ahrefs has even coined the term “LLMO” (LLM Optimization) as the AI equivalent of SEO.

What I Liked

• Robust competitive analysis – You can quickly benchmark against known competitors on key AI queries and see exactly who’s outranking you in AI answers.
• Multi-platform tracking with reliable data – Covers ChatGPT, Google, Perplexity, Copilot, and more, with Ahrefs’ reputation for accurate data collection behind it.
• SEO integration benefits – You can cross-reference if an AI mention correlates with a spike in your organic traffic or see if content with high Domain Authority is being cited by AI.
• Polished interface and reporting – Clear, exportable graphs and a familiar interface for existing Ahrefs users, with just another tab in your Ahrefs dashboard.
• Sentiment monitoring included – Gauges quality of mentions, not just quantity, so you understand the context of how you’re being discussed.

Limitations

• Cost scales per site – Brand Radar is priced at ~€89 per website per month on top of your regular Ahrefs subscription, which quickly becomes expensive for agencies managing multiple brands.
• No free trial available – Ahrefs only provides a sample demo report to showcase the feature, so you have to subscribe to see your own data.
• Learning curve for new concepts – The “AI visibility index” is new territory, and some early users have expressed confusion about what exactly Brand Radar is showing initially.
• Limited granular breakdowns – Unlike pure-play AI tracking startups, Ahrefs tends to aggregate into overall metrics rather than offering extremely detailed prompt-by-prompt analysis.

Pricing & Getting Started

• Cost: €89 per month per site as an add-on to your existing Ahrefs subscription
• Enterprise: Custom deals may be available for clients with many brands
• Demo: Free demo report available showing AI visibility for a sample company to preview the interface

If you know Ahrefs, users agree that you’ll feel at home with Brand Radar. The interface uses similar layouts with graphs for “Mentions Over Time” and tables listing prompts. Setup is straightforward, and Ahrefs has published help documentation and blogs about the feature.

Best For

Ahrefs Brand Radar is perfect for SEO teams who want to unify SEO and LLM monitoring in one platform. It’s ideal for teams already using Ahrefs who want to extend their visibility tracking into the AI realm without learning a completely new tool.

The tool works especially well for data-driven marketers who need reliable competitive analysis and want to understand how their traditional SEO efforts impact their AI visibility. But it’s likely to be overkill if you only care about AI tracking and don’t need SEO features.

5. Scrunch AI – Best for Persona-Based Insights

Scrunch AI takes a unique persona-driven approach to LLM monitoring. It actually helps marketers understand how their brand is presented to different types of users who ask AI assistants about their industry.

It segments AI search insights by user persona or intent, differentiating what an “IT professional” might see versus what a “small business owner” might see when asking AI about your product.

Key Features

At its core, Scrunch tracks three “P’s” for your brand:

• Presence (whether you’re mentioned at all in an AI response)
• Position (if mentioned, how prominently – first recommendation vs. one of many)
• Persona sentiment (the tone when your brand is discussed across different user types).

This persona-based segmentation is especially useful for companies with diverse audiences.

The platform also offers Share of Voice metrics across LLMs and flags opportunities where your competitors are mentioned but you aren’t, so you can target those gaps.

A distinctive feature is the “Knowledge Hub,” which surfaces any inaccuracies or outdated information that AI is stating about your brand, allowing you to quickly correct misinformation, a vital aspect of brand reputation management in the AI era.

What I Liked

• Unique persona-based insights – It’s one of the few tools attempting to map AI search results to customer journey stages or personas, which is invaluable for refining messaging to different audiences.
• Rich visualizations – Users consistently note the journey maps and dashboards are visually clear and helpful for presentations to stakeholders.
• Real-time monitoring – Monitors multiple LLMs continuously, so you get up-to-date visibility reports as changes happen.
• Brand safety focus – Excellent for preempting misinformation or negative sentiment, making it a plus for PR and brand management teams.
• Actionable recommendations – Suggests content to create if the AI frequently cites certain missing topics, framing itself as a tool to optimize, not just observe, your AI visibility.

Limitations

• High cost and limited access – The base plan is ~$300/month, which might be overkill for smaller businesses. They don’t currently offer a self-serve trial; it’s in limited-access beta, so you often need to contact them for an invite.
• Complex setup requirements – With any persona-based tool, you’ll need to invest time configuring those personas and interpreting the data. The feature is powerful but adds complexity beyond basic keyword tracking.
• Prompt tracking quotas – The Starter plan allows 350 custom prompts, which is plenty for many, but agencies with many clients/topics may find it limiting unless they’re willing to pay for higher tiers.
• Early-stage platform – Some features may still be in beta, and one user question about multi-domain support suggests this might be an area to verify if you’re an agency.

Pricing & Getting Started

• Starter: $300/month (approximately) for tracking a set number of prompts (350 custom + 1,000 industry prompts) and a few user licenses
• Growth: $500/month with more prompts and personas
• Pro: $1,000/month for larger teams

There’s no public free trial, but interested users can often schedule a demo or get a short-term trial by reaching out. Since billing is monthly, you could potentially use it for a month or two for a specific campaign and then cancel.

Best For

Scrunch AI is ideal for brand/PR teams focusing on reputation management and companies with diverse audiences who need to understand how different user personas perceive their brand in AI.

It’s particularly valuable for businesses where messaging needs to be tailored to different customer segments.

The tool works best for teams who are serious about brand monitoring and have the budget and time to properly configure persona tracking. It’s also good for larger organizations where understanding brand perception across different customer types is critical for strategic decision-making.

6. Semrush AI Toolkit – Best for Strategic Insights

Semrush’s AI Toolkit goes beyond basic mention tracking to provide strategic business insights by automatically analyzing tons of LLM queries.

It aims to figure out what people are asking about your brand and niche, how your brand is described, and how you stack up against competitors in AI conversations.

Think of it as a hybrid of AI SEO tracking and market research.

Key Features

The toolkit focuses on understanding audience sentiment and key attributes associated with your brand in AI-generated content. It highlights topics and questions trending around your brand.

For example, “Customers frequently ask ChatGPT about [Your Software]’s pricing or integrations” – which provides golden information for content marketing and product teams.

With its competitor monitoring, Semrush shows if your rivals are mentioned more often or in a more positive light.

It even points out unmet needs or gaps in the market based on AI inquiries (topics people ask about that no brand is adequately addressing).

A unique aspect is the toolkit’s emphasis on actionable recommendations: it doesn’t just present data, it uses AI to propose what you could do – suggesting new content to create or product improvements to better meet user questions.

What I Liked

• Holistic strategic insights – Goes beyond just counting mentions to answer “What does this mean for my strategy?” by providing structured suggestions and identifying consumer needs and pain points from AI queries.
• Executive-friendly reporting – Integration with My Reports means you can quickly generate presentation-ready reports with graphs and analysis for stakeholders, perfect for showing the C-suite how AI impacts your brand.
• Competitive edge analysis – You can adapt your strategies based on exactly where competitors outrank you in AI and seize areas they overlook.
• Weekly data updates – Ensures you’re looking at relatively fresh trends rather than stale information.
• Familiar interface – For current Semrush customers, it’s convenient – the interface and navigation will be familiar, and you can keep SEO and AI monitoring in one place.

Limitations

• Premium add-on only – Not available in base Semrush plans – it’s a $99/domain add-on on top of existing Semrush costs, which might be a consideration for budget-conscious teams.
• No dedicated free trial – Semrush offers a generic free trial for core SEO features, but the AI module itself only has a demo, meaning you have to pay to really test it on your own brand.
• Weekly updates only – Since it updates weekly rather than daily, super fast changes or PR crises might not reflect instantly compared to tools offering daily tracking.

Pricing & Getting Started

• Cost: $99 per month per domain – each tracked website requires its own subscription
• Structure: Positioned as a premium add-on that doesn’t bundle into standard plans
• Demo: Free demo report available so you can see a sample of what you’d get
• Cancellation: No direct refunds once you subscribe for a month, but you can cancel anytime to stop future billing

The interface is designed for mid to top-level team members (CEOs, marketing executives, product managers) with executive-friendly dashboards summarizing sentiment and market share rather than raw technical data.

Best For

Semrush AI Toolkit is a good fit for marketing strategists and product managers who want to tie AI search data into strategic business insights.

It’s ideal for teams already using Semrush for SEO who want to add AI insights without learning a completely new platform.

The tool works well for high-level marketing strategists who need to understand market positioning and consumer sentiment trends, rather than teams focused on tactical day-to-day AI mention tracking.

It’s also excellent for organizations that need presentation-ready reports for executive stakeholders.

7. Profound – Best for Large Organizations

Profound is an enterprise-level LLM visibility platform designed to provide complete oversight of your brand in LLMs, from how often you’re mentioned to the tone and context of those mentions.

It tracks top LLMs like ChatGPT, Google’s AI Search (SGE/Gemini), Claude, Perplexity, Bing Chat, and more, providing a deep analysis of sentiment, sources, and competitive positioning.

Key Features

Profound goes beyond basic mention tracking because it also analyzes how your brand was mentioned:

• Was the sentiment positive or negative?
• Which sources did the AI cite when mentioning you?
• How do you rank versus competitors in the same answer?

This depth of analysis helps enterprises ensure their brand is accurately and favorably represented in AI outputs.

Other key features include an “Answer Engine Insights” dashboard that shows common AI queries in your industry and how your brand fares in those answers.

There’s also a Conversation Explorer to audit full AI-generated conversations/transcripts for mentions of your brand, and an Agent Analytics module to see how AI agents or chatbots (like customer service bots) present your content.

Profound even addresses AI-driven shopping by monitoring if your products appear in AI shopping recommendations for retail/e-commerce use cases.

What I Liked

• Exceptionally comprehensive feature set – Noted for “best-in-class reporting” in industry roundups with extensive charts and trend lines, covering virtually all notable LLM platforms.
• Enterprise-friendly infrastructure – Offers API access, single sign-on (SSO), and high security (SOC 2 compliance) built for large organizations with compliance needs.
• Advanced competitor analysis – You can compare your AI visibility versus specific competitors to see who’s winning more AI recommendations and understand competitive positioning.
• Rapid feature development – The team is quickly adding features like conversation explorer and bot tracking, reflecting fast development cycles.
• Dedicated enterprise support – Reliability and support are top-notch according to investor reports, with dedicated account managers and onboarding sessions.

Limitations

• Really expensive – One of the most expensive solutions with commenters noting it’s “pretty expensive,” usually requiring custom sales quotes. Starting point is around $499/month for basic needs, but large deployments can run much higher.
• No free trial available – No self-serve signup option, which can deter smaller teams. You have to talk to sales for demos and custom quotes.
• Enterprise learning curve – The platform is feature-rich and comes with significant complexity. Full onboarding and team training may be needed to get the most value.
• Still evolving features – As a young product (founded in 2024), some features are still in beta or development, though improving quickly.

Pricing & Getting Started

• Lite plan: $499/month for basic needs (tracking one company’s presence with daily updates)
• Enterprise pricing: Custom pricing tailored to each client based on number of brands tracked, AI platforms covered, and data volume
• Contract structure: Typically enterprise contracts with negotiated terms – expect to budget significant investment for Profound
• Demo process: Team offers demos so you can evaluate before committing, but no public self-serve trial

The interface is robust and packed with data, designed for power users with the ability to filter by AI engine, time range, sentiment, and more.

Enterprises generally assign an SEO or analytics specialist to learn the tool, and Profound provides dedicated account managers and onboarding sessions to help with this.

Best For

In my opinion (and that of many users), Profound is best suited for large organizations that need the deepest insights possible into LLM performance and have enterprise requirements around compliance, security, and integration. It’s great for companies where budget isn’t the primary concern and comprehensive AI brand analysis is mission-critical.

Which Tool is Right for You?

With seven solid options available, choosing the right LLM tracking tool comes down to your specific situation. Here’s a quick decision guide I created to help you out.

If you’re just getting started

Go with Trakkr AI – The free beta removes all financial risk while you learn what AI brand tracking can do for your business. You can always upgrade or switch later once you understand your needs.

If budget is tight

Consider Writesonic GEO ($20/month) if you also need content creation tools, or just go with Trakkr for now. Both offer solid functionality without breaking the bank.

If you’re already using SEO tools

Ahrefs Brand Radar or Semrush AI Toolkit – Stick with your existing ecosystem for seamless workflow integration. The add-on cost is justified if you’re already paying for the base platforms.

If you need advanced analytics

Peec AI for mid-size teams wanting detailed insights at reasonable cost, or Profound for enterprises needing comprehensive reporting and compliance features.

If you have diverse audiences

Scrunch AI – The persona-based insights are unique and valuable if you need to understand how different customer segments perceive your brand in AI results.

If you’re an enterprise

Profound – Built for large organizations with compliance needs, dedicated support, and budget for premium features. The $500+/month cost is justified for comprehensive enterprise requirements.

Frequently Asked Questions

What is LLM performance tracking, and why does it matter?

LLM performance tracking measures how your brand appears in the outputs of large language models like ChatGPT, Claude, and Google’s AI Overview. These tools are rapidly replacing traditional search in many contexts. If your brand isn’t showing up in AI-generated answers, you’re missing high-value exposure at key decision-making moments. It’s like SEO — but for AI conversations.

How do tools like Trakkr AI and Profound help with LLM brand visibility?

These tools monitor major LLMs to detect how often and how favorably your brand is mentioned. Trakkr AI provides daily updates and alerts in a lightweight, free beta format — great for early adopters. Profound offers enterprise-level analytics including sentiment, source citations, and competitor benchmarking, making it ideal for brands needing deep insights.

Is this the same as SEO tracking?

Not exactly. SEO tracks visibility in search engine results, whereas LLM tracking measures what AI assistants say when asked about your brand or product. LLMs summarize content differently, often based on reputation, citations, and inferred authority — which makes traditional SEO signals less reliable. New tools are needed to measure this evolving form of influence.

Which tool is best if I’m just getting started?

If you’re exploring LLM visibility for the first time, Trakkr AI is a smart starting point — it’s free while in beta and easy to use. Peec AI is another strong option, balancing user-friendliness with affordable pricing. It offers sentiment analysis and AI visibility scores, making it suitable for in-house SaaS marketing teams.

What’s the difference between Peec AI and Scrunch AI?

Peec AI focuses on tracking how your brand performs across AI platforms, including sentiment and mention prominence. Scrunch AI adds a layer of persona-based insights — showing how different types of users (e.g. executives vs developers) see your brand in AI responses. It’s more reputation- and PR-focused, and priced accordingly.

Can I use these tools to track competitors too?

Yes. Most tools — including Profound, Peec AI, Writesonic GEO, and Ahrefs Brand Radar — offer competitive benchmarking. You can compare your share of voice against key rivals and identify areas where they’re outperforming you in AI-generated answers. This is especially useful for content and product marketing strategy.

How actionable are the insights these tools provide?

Quite actionable. Tools like Writesonic GEO and Semrush AI Toolkit don’t just show data — they suggest content topics, flag gaps, and recommend ways to improve your AI visibility. Others like Peec and Profound let you track specific queries, so you can see if recent content is making an impact. These insights can directly inform your content calendar and SEO strategy.

The Bottom Line

Most teams should start with Trakkr AI’s free beta to understand the basics, then evaluate whether they need specialized features from paid alternatives. The market is evolving rapidly, so there’s wisdom in starting simple and scaling up as your needs become clearer.

LLM performance tracking is rapidly shifting from nice-to-have to essential. With 25% of search volume moving to AI by 2026, understanding how your brand appears in AI results is going to directly impacts your future lead generation potential.

Luckily, you don’t need a big budget to start. Tools like Trakkr AI offer full functionality for free during beta, letting you prove value before requesting budget approval.

Pick a tool and start tracking today. Even basic monitoring gives you insights most competitors don’t have yet – and that competitive advantage is worth far more than any tool cost.

The shift to AI-driven search is happening now. Tracking your LLM brand visibility is the difference between getting ahead of the curve or playing catch-up later.