LLM Tracking: 7 Best AI Monitoring Tools to Optimize Performance

For years, ranking on Google guaranteed visibility. But now, AI-powered search tools like ChatGPT, Gemini, and Perplexity are taking over. 

Unlike traditional search engines, these large language models don’t rank websites—they rewrite, summarize, and reinterpret content, often mixing information from multiple sources.

The catch is that even if your site ranks #1 on Google, the AI search model might ignore it.

That’s where LLM tracking tools come in. 

Also known as LLM observability tools, they allow businesses to monitor AI-generated references to their brand, track visibility in search results, and optimize content for AI-driven search engines. These tools also help identify biases, factual errors, or outdated details that could spread across multiple AI products.

Here are seven LLM monitoring tools to help you examine how AI models store and process brand-related information.

An LLM tracking tool helps businesses analyze how often and in what context an LLM references a brand or product. This information can be used to refine content so it’s better represented in AI-driven search tools and ensure brand messaging remains consistent across different platforms.

Some tools also assess application performance by monitoring response speed, accuracy, and AI processing efficiency. Here are the key factors to consider when choosing an LLM tracking tool:

• Response quality tracking: Look for tools that log responses and evaluate them for relevance, factual accuracy, tone, or other criteria. Some tools also use sentiment analysis to detect emotional tone or spot anomalies like data leaks or toxic responses
• AI visibility monitoring: Pick a tool that tracks how often and where your brand or keywords appear in AI-generated content. This is like SEO but for AI, often called AI Search Optimization or Generative Engine Optimization (GEO)
• Competitive benchmarking: Choose an LLM brand tracking tool with features for competitor analysis, showing how your visibility compares to others. For example, if a competitor is mentioned more in AI search engines, it highlights gaps you need to address
• Integration and collaboration: Go for a tool that integrates smoothly with your existing analytics stack. Also, look for features like customizable reports, alerting (e.g., if your brand mention falls off Bing Chat results), and multi-user support so teams can collaborate on LLM observability and monitoring
• RAG analysis: Select a tool that evaluates how retrieval augmented generation (RAG) influences AI responses, ensuring that retrieved content is correctly represented in AI-generated outputs. This helps reveal misinformation risks and highlight optimization opportunities
• Model performance evaluation: Select a tool that tracks key metrics affecting the LLM performance, such as model accuracy on test prompts, consistency of answers, latency, or user ratings of model outputs’ quality

1. Profound (Best for AI search visibility in enterprises)

Founded by James Cadwallader and Dylan Babbs, Profound is an enterprise-grade platform that tracks how large language models like ChatGPT, Gemini, Bing Chat, and Microsoft Copilot mention and rank your content. 

It analyzes the input data these AI models process to generate responses, helping businesses understand how different user queries, prompts, datasets, and sources impact brand visibility. It also offers compliance and security features like SOC 2 certification and single sign-on​ to protect the enterprise’s sensitive data and ensure safe access.

Profound best features

• Answer insights: Tracks how often your brand appears in AI-generated responses. For example, a consumer electronics brand can monitor how often their products are mentioned in answers for ‘best noise-canceling headphones’ or ‘top smart speakers.’ It also analyzes the context and sources influencing these mentions
• Conversation explorer: Helps explore the topics and keywords consumers discuss with AI platforms. It provides real-time insights into AI-generated conversations, tracking how industries, brands, and competitors are mentioned
• Agent analytics: Tracks AI bot visits, analyzes how AI crawlers interpret your site, and ensures it’s optimized for AI indexing. It also monitors AI-driven traffic, identifies frequently referenced pages, and provides insights into how AI models use your content in responses

Profound limitations 

• Profound is designed for enterprise-level clients, making it less accessible or cost-effective for smaller businesses

Profound pricing

Profound ratings and reviews

• G2: Not enough reviews 
• Capterra: Not enough reviews 

2. Scrunch AI (Best for AI brand presence monitoring)

Customers are already interacting with AI when they search for products, compare services, or look for recommendations. Scrunch AI tracks where your brand appears in these AI-generated answers, whether it’s a top result, barely mentioned, or missing altogether.

The tool tracks three core aspects: Presence, position, and sentiment. ‘Presence’ shows where and how your brand is mentioned in AI responses, ‘position’ indicates your ranking or prominence in those answers, and ‘sentiment’ analyzes the tone (positive, neutral, negative) when your brand is mentioned.

Scrunch AI best features

• Competitive tracking & analysis: Allows you to compare your brand’s mentions to competitors on the same prompts. It will highlight if a rival is outshining you in, say, ChatGPT’s recommendations for ‘best project management software’ 
• Knowledge hub: Identifies content gaps or misinformation regarding how your brand is represented
• AI persona insights: Lets you see how different user profiles (personas) get different AI answers about your brand. This level of insight is incredibly useful for refining your content marketing for AI

Scrunch AI limitations 

• Access is currently restricted, requiring a ‘book a meeting’ approach

Scrunch AI pricing

Scrunch AI ratings and reviews

• G2 reviews: Not enough reviews
• Capterra reviews: Not enough reviews

3. Otterly.AI (Best for AI visibility tracking)

Otterly lets you monitor your brand, content, competitors, or any prompt across AI services. 

A key feature of Otterly is its ease of use. It’s suitable for those who want to quickly check AI search results without a deep learning curve. The platform supports multiple AI chatbots/LLMs, such as ChatGPT, Google’s Gemini, and Bing Chat.

It’s one of the few AI search monitoring tools that let you track output quality based on your customers’ locations. If your brand is popular in the U.S. but rarely mentioned in AI searches in India or Germany, you know where to focus your content efforts

Otterly.AI best features

• Keyword and prompt research: Helps you understand which prompts or keywords make AI reference you or your competitors instead so you can adjust your content strategy
• Link tracking: Lets you track how many AI-generated responses include links to your content vs. competitors
• Performance and dashboard alerts: Notifies you if there’s a big shift in AI mentions, like a competitor taking over your spot in AI-generated responses

Otterly.AI limitations 

• It lacks some advanced capabilities found in other tools, such as persona-based tracking or deep sentiment analysis

Otterly.AI pricing

• Lite: $29/month (10 search prompts)
• Standard: $189/month (100 search prompts)
• Pro: $989/month (1000 search prompts)

Otterly.AI ratings and reviews

• G2 reviews: Not enough reviews
• Capterra reviews: Not enough reviews

4. Peec AI (Best for affordable multi-LLM tracking)

Specifically designed for marketing teams, Peec AI is an AI search analytics platform that stands out for offering robust features at an affordable price. 

Its ‘Brand Visibility Score’ helps you analyze how often your brand appears in AI results over time, giving you a clear metric to track your progress. 

The platform can break this down by different LLMs, like ChatGPT, Claude, Perplexity, Google’s Gemini, DeepSeek, etc., and over different timelines, so you might see that your visibility is 70% on ChatGPT but only 40% on Claude, for example. 

Peec AI best features

• Source analysis: Identifies the sources that AI assistants cite when mentioning your brand. This is critical because it tells you why an AI is or isn’t mentioning you. Notably, only 50% of the sources used by AI overlap with top Google results. You can target those specific sources with guest posts, PR, and expert contributions in your content strategy to boost visibility
• Competitor benchmarking: Lets you add your competitors and see a side-by-side ‘industry ranking’ of who’s getting the most AI love
• SEO analytics suite for LLMs: Offers time-series tracking, multi-model dashboards, and team collaboration, in a user-friendly UI with clear charts, making it a powerful tool for data-driven teams

Peec AI limitations 

• Teams may need time to grasp all features, especially if they are new to AI search analytics

Peec AI pricing

• In-house teams: $130/month (Analyze 30 prompts)
• Agency: $195/month (Work with 3 clients)

Peec AI ratings and reviews

• G2 reviews: Not enough reviews
• Capterra reviews: Not enough reviews

5. Rankscale (Best for comprehensive AI SEO analysis) 

Rankscale (often styled as Rankscale.ai) is a Generative Engine Optimization (GEO) tool designed to be an all-in-one solution for AI search visibility. 

One of its standout features is the AI search engine simulator, which shows how different AI models crawl and interpret your site, giving you a content score for AI relevance. This helps you identify if something on your site might be blocking or discouraging AI bots.

Rankscale best features

• Prompt tracking across multiple AI engines: Allows you to set up your custom search prompts on multiple LLM-based engines, gather results, and show where your site appears. It also maps out citations, revealing which sources the AI is referencing
• Competitor mention monitoring: Tracks competitor mentions, uncovering competitors in AI answers that traditional SEO might miss. It also provides a full 360° view of your site’s AI performance, from on-page improvements to competitor analysis
• Brand dashboard: Helps monitor AI search rankings, sentiment analysis, and visibility trends for all your brands without switching between multiple tools. Plus, ‘Automated Calculations’ process search-term execution data instantly, ensuring accurate, up-to-date metrics

Rankscale limitations 

• It is built as a solo project and only recently opened for testers, so some features may be incomplete or buggy

Rankscale pricing

Rankscale ratings and reviews

• G2: Not enough reviews
• Capterra: Not enough reviews

6. Knowatoa (Best for LLM search rank tracking)

Knowatoa works as a dedicated rank-tracking tool that shows how AI services perceive and rank your brand.

It tracks your brand’s mentions in AI answers and checks if AI models describe your products accurately by comparing them with your actual product info. For example, if an AI says your software is missing a feature that you actually have, Knowatoa would flag that discrepancy. 

Knowatoa best features

• Cross-model tracking: Supports all major AI platforms, like ChatGPT, Google’s Gemini, Perplexity, Meta’s AI, Anthropic’s Claude, etc., giving you broad coverage on one screen
• Competitor rankings: Lets you list your competitors and see how often they show up versus you for those questions
• Simplicity: Offers a clean, user-friendly interface and doesn’t overwhelm with extraneous data. Plus, it includes familiar metrics like the number of questions tracked, the number of sites (websites) you’re monitoring, etc.

Knowatoa limitations 

• As a relatively new tool, Knowatoa lacks advanced features like sentiment analysis or an API for integration with other platforms

Knowatoa pricing

• Free Plan (3 Websites)
• Premium: $49/month (15 Websites)
• Agency: $99/month (50 Websites)

Knowatoa ratings and reviews

• G2: Not enough reviews
• Capterra: Not enough reviews

7. Nightwatch (Best for blending SEO rank tracking with AI monitoring) 

 Nightwatch’s AI Tracking lets you monitor the performance of ChatGPT 3.0 and 4.0 in real time. You can track where your company or service appears, see how often you’re mentioned, and understand the context of those mentions by inputting key prompts or letting the system observe over time.

For those already using it for SEO, you can track your visibility in ChatGPT and other LLMs using the same interface.

Nightwatch best features   

• Customizable reporting: Create unified reports that show, for example, your Google rank for a keyword and whether ChatGPT recommends you for that same keyword
• Strong competitor analysis: Compare if competitors are getting recommended by LLMs more often
• Insights: Get AI monitoring insights with core features, like local rank tracking, mobile vs desktop, site auditing, and segmentation

Nightwatch limitations 

• The platform’s features may take time to master for new users

Nightwatch pricing

Nightwatch ratings and reviews

• G2: 4.9/5 (40+ reviews)
• Capterra: 4.8/5 (30+ reviews)

How Can Enhance LLM Tracking? 

These seven tools are purpose-built for LLM evaluation. But how do you connect the trends and results from these tools to your existing workflows?

This is where comes into play. 

As the everything app for work, can help you evaluate LLM responses and how a brand appears in AI-generated search results across multiple large language models, such as ChatGPT, Gemini, and Perplexity. 

It empowers teams to organize monitoring, capture actionable insights, and implement changes based on ranking fluctuations. Let’s look at how!

1. Workflow management

combines project management and task tracking into one platform, making it easy to monitor deadlines, priorities, and dependencies for optimal operational efficiency.

Let’s say the marketing team wants to know why is missing from AI Search responses for ‘best productivity tools’ or ‘best project management software.’ The team can log this as a task in Tasks and add subtasks to investigate the issue on AI models like ChatGPT, Perplexity, or Bard. 

You can also use Custom Fields to add structure and key insights to the investigation. For example: 

• Search Query Tracked: Specifies the exact keywords tested, like ‘best productivity tools’ or ‘best project management software’
• Platform Name: Indicates whether the issue is in Perplexity, ChatGPT, Bard, or another AI model

Assign this task to a team member for investigation, with Custom Statuses to track progress: ‘Open’, ‘In Review’, and ‘Resolved.’ also lets you set priorities so that critical issues get attention first​. 

Brain, a powerful neural network that connects everything within , can suggest task structures for AI search investigation. This helps teams break down the process into actionable subtasks, assign responsibilities, and track progress.

2. AI tracking alerts 

Since AI model responses can change frequently, teams need real-time notifications when their brand is missing or misrepresented. You can configure Automations to trigger alerts based on specific actions. 

Automations can also create recurring tasks to track visibility on a weekly or monthly basis. This ensures that AI search tracking happens regularly without anyone forgetting to check it manually. 

 

3. Documentation and collaboration

Instead of scattered notes or emails, Docs provides a centralized knowledge management system where teams can log AI-generated search results, document competitor insights, and collaborate on content strategies to improve brand visibility in LLM responses. 

For example, you can maintain a document to log AI search findings, naming it AI Search Trends Report- March 2025.  It can: 

• List where the brand appears (or is missing) in AI-generated answers
• Include screenshots of AI-generated responses and competitor rankings
• Store insights on why AI models prefer certain brands over others and brainstorm optimization strategies

Docs makes it easy for AI researchers, data scientists, machine learning engineers, and SEO specialists to collaborate in real time. Teams can track AI search results, add notes, and refine content strategies in one place.

4. AI-powered insights for LLM tracking

Brain, ’s AI assistant, tracks AI search visibility and retrieves information from Tasks, Docs, Chat, and Dashboards to help teams analyze mentions, spot trends, and optimize strategies.

Brain scans stored data and instantly pulls relevant insights, saving time and keeping teams informed. 

It also analyzes historical data to spot patterns in AI-generated search rankings.

• If ChatGPT starts favoring a new competitor, Brain can highlight the shift
• If ’s visibility drops across multiple LLMs, it can flag the decline and suggest areas for improvement

Simplify LLM Tracking and Boost Brand Presence with

As AI-generated content reshapes how brands appear in search, tracking your brand’s presence across large language models is crucial. LLM tracking tools help businesses monitor AI-generated mentions, analyze competitor visibility, and optimize content strategies for LLM-powered search results.

But if you’re not ready to invest in a dedicated monitoring tool or need more help making sense of the data, can help. It lets you organize insights, automate monitoring, and collaborate on AI visibility strategies. With Brain, you can stay on top of AI search trends without adding another tool to your tech stack.

Ready to optimize your brand’s visibility with ? Sign up for today. 

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