Top 7 AI visibility tracking tools

What is AI visibility tracking

When a user submits a query to an AI, they get a ready-made answer with recommendations instead of a list of links in Google. The AI model decides what the user actually sees and which products get mentioned.

To understand whether your brand appears in AI-generated responses, you need to track its visibility across various AI systems. This can be done manually or with specialized tools. These tools analyze how and when AI models like ChatGPT or Gemini show your brand or product in their responses to users.

This has led to a new type of content optimization — Generative Engine Optimization (GEO). While SEO helps you stay at the top of search engine results, GEO focuses on increasing your brand’s presence in AI-generated responses.

How AI search differs from traditional search

AI search is transforming not only the format of search results but also the metrics themselves. In traditional SEO, the focus is on where a website ranks in search engines like Google. GEO, on the other hand, looks at whether a brand appears in AI-generated recommendations and how it is presented there.

The key differences are:

Specialized tools help monitor key AI visibility metrics. These are known as AI visibility tracking tools. They may work via AI APIs or by running large volumes of tracking prompts through AI models and then analyzing the results.

Key features of AI visibility tracking tools

AI visibility tracking tools help you understand how AI systems perceive and present your brand. Rather than focusing on a single metric, they analyze multiple data points to provide a complete overview of your brand’s presence in AI responses.

What AI visibility tracking tools can analyze

• Brand mentions. Whether your brand appears in AI-generated responses.

• Share of Voice (SoV). How often AI includes your brand in responses to target queries.

• Brand placement in AI responses. Where your brand appears within AI-generated recommendations.

• Query-level visibility. The types of queries that surface your brand, which can be informational, commercial, or branded.

• Source attribution. Which websites and articles the AI crawler relies on when generating responses. AI models often reference media, reviews, help centers, and company websites. This analysis also helps identify third-party platforms mentioning your brand and evaluate the effectiveness of your PR efforts.

• Competitive landscape. Which brands appear alongside yours and which are mentioned more frequently.

• Sentiment analysis. Whether mentions are positive, neutral, or negative.

• Visibility trends. How your brand’s visibility changes over time and how PR, SEO, or content efforts impact it.

• Regional visibility. How AI recommendations for your brand vary across regions.

AI crawlers are bots used by AI models to scan and index content across the web. They evaluate whether the information on a page is relevant enough to be included in AI-generated responses.

How to choose an AI monitoring tool

The wider the coverage of AI platforms and metrics, the more accurately you can understand how AI models perceive your brand. When selecting an AI visibility tracking tool, consider several key criteria:

• Number of AI models supported. The more models a tool analyzes, the better. Regional coverage is also important. For example, some tools work with ChatGPT, Copilot, and Gemini but do not include regional solutions like YandexGPT, which can leave gaps in your visibility picture.

• Metric coverage. The tool should consolidate key AI visibility metrics in one place. This includes brand mentions, brand placement in AI responses, share of voice, source attribution, competitor analysis, and sentiment analysis.

• GEO-driven recommendations. Although the field is still emerging, some patterns are already clear. For instance, AI often prioritizes FAQ sections and timestamps such as “Updated April 2026” to use the most relevant content. Certain AI monitoring tools can also provide recommendations for optimizing content structure, headings, and meta tags with GEO factors in mind.

• Tracking visibility trends. The tool should be able to regularly query AI systems, track changes, and report on visibility trends over time.

• Regional testing. It’s useful if the tool allows you to switch regions to analyze how AI responses differ across countries.

• Pricing. Costs should align with the amount of data and features you need. Sometimes a simpler tool is more effective if it covers the key AI visibility metrics you need.

Next, we’ll analyze several AI visibility tracking tools that cover the majority of key GEO metrics.

Overview of the top seven AI visibility tracking tools

1. Peec AI

• AI models supported: ChatGPT, Perplexity, Copilot, Gemini, Google AI Overviews, Google AI Mode, Claude.

• Pricing: from $175/month for agencies, from $70/month for brands. Custom plans available.

Peec AI is designed for marketing teams and large agencies. The platform helps you understand how AI systems present your products: whether they are mentioned, the sentiment of mentions, their placement within AI-generated responses, and which competitors appear alongside them.

The tool covers other key AI visibility metrics as well—from mention frequency to source attribution—and generates recommendations on how to improve your brand’s presence in AI responses.

Peec AI also emphasizes collaboration and client reporting. You can generate brand reports and integrate data with Looker Studio, Google’s platform for data analysis and visualization.

Advantages:

• Wide coverage of key AI visibility metrics and models.

• Free trial available.

• Automatic tracking prompts run every 24 hours.

• Regional testing available to analyze AI responses across different locations.

• Automatic report generation.

• Recommendations for optimizing content for AI.

• Analytics exportable to CSV.

• Competitive pricing.

Disadvantages:

• Basic plans include only three AI models from the available selection.

• Certain models (e.g., Claude) are available only with custom plans.

• Additional AI models can be added for $25 per model.

• Regional testing is not included in all plans.

2. Profound

• AI models supported: ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews, Google AI Mode, Copilot, Grok, Meta AI, DeepSeek, Amazon Rufus.

• Pricing: From $82.50/month for brands (first two months free), from $99/month for agencies.

Profound is designed for strategic AI visibility management and is aimed at large brands and agencies. The platform combines analytics, content generation tools, and research data. Teams can integrate Profound into their marketing stack, use ready-made reports, and develop content strategies aligned with AI search logic.

A key feature is the Conversation Explorer module, which contains a database of over 400 million real user prompts. It helps not only track current brand visibility but also identify the questions users frequently ask AI. Additionally, Prompt Volume Data provides an AI equivalent of Search Volume in SEO, showing which queries are popular in AI environments and helping generate new content ideas.

Profound tracks all key AI visibility metrics: mention frequency, share of voice, brand placement in AI responses, source attribution, competitor landscape, and sentiment analysis. It also allows monitoring visibility trends over time and comparing results across different AI models.

The platform emphasizes practical application of data. Profound provides recommendations and templates that help optimize content for AI search and increase brand presence in AI-generated responses.

Advantages:

• Wide coverage of AI models.

• Combines analytics and content tools in one platform.

• Automatic tracking prompts run regularly.

• Access to a database of 400+ million real user queries.

• AI Crawler Monitoring analyzes how AI crawlers navigate your site and consume content.

• Integration with Google Analytics.

• Flexible settings in custom plans.

• Exportable analytics in CSV.

• Industry research reports and dashboards available.

• Content optimizer provides actionable suggestions.

• Free trial available.

• Competitive pricing.

Disadvantages:

• Regional monitoring available only in custom plans.

• Basic plans limited to a single AI model.

• Integration can be complex and may require support from Profound specialists.

3. Otterly AI

• AI models supported: Google AI Overviews, ChatGPT, Perplexity, Google AI Mode, Gemini, Copilot.

• Pricing: plans start at $25/month and include four AI models: ChatGPT, Google AI Overviews, Perplexity, and Copilot. Additional AI models can be added separately. Custom plans are also available.

Otterly AI focuses on ease of use, quick setup, and regional visibility analysis. It is suitable for freelancers, brands, and agencies that need clear analytics without complex integration.

A key feature of Otterly AI is regional coverage. The platform tracks AI responses across more than 50 countries, showing how brand visibility changes by location.

The tool covers all key AI visibility metrics, analyzes user queries, and performs competitive analysis. Additionally, Otterly AI offers GEO Audit, a tool that evaluates pages across 25+ factors and highlights obstacles that may prevent a site from appearing more frequently in AI recommendations.

Advantages:

• Strong focus on regional visibility with coverage in over 50 countries.

• Automatic tracking prompts run daily.

• Regularly generated AI visibility reports.

• Recommendations to improve AI presence.

• Data can be integrated with Looker Studio.

• Quick setup and a user-friendly interface.

• Free trial available.

• Free GEO guide available.

• Plans include GEO Audit.

• Competitive pricing.

Disadvantages:

• Access to some AI models requires additional purchase.

4. Scrunch AI

• AI models supported: ChatGPT, Claude, Perplexity, Gemini, Meta AI, Google AI Mode, Google AI Overviews; Grok to be added soon.

• Pricing: from $250/month for brands, from $500/month for agencies. Custom plans available.

Scrunch AI is built on the AXP (Agent Experience Platform) approach, designed to help teams create content that is better indexed by AI and appears more frequently in AI-generated responses.

The platform tracks all key AI visibility metrics, allows breakdowns by specific AI models, and enables comparison of results across regions. Scrunch AI also helps generate and structure prompts for AI models.

Additionally, AI Search Trends provides insights into currently popular AI queries, helping teams identify trending topics. Regular GEO site audits are also included.

Advantages:

• Combines data analytics with GEO optimization tools.

• User-friendly dashboard with real-time metric visualization.

• AI Search Trends tracks AI query volume across 1,500 topics, revealing which questions users ask AI models.

• Filters available by topic, audience, and region.

• Integration with Looker Studio available.

• Built-in generator for tracking prompts.

• Regular GEO site audits included.

• Free trial available.

Disadvantages:

• Higher pricing compared to some other tools.

• Basic plans include only four AI models: ChatGPT, Perplexity, Google AI Overview, Copilot.

• Regional visibility analysis not included in all plans.

• More focused on content optimization for AI than on in-depth analytics.

5. Ahrefs Brand Radar

• AI models supported: Google AI Overviews, Google AI Mode, ChatGPT, Copilot, Gemini, Perplexity.

• Pricing: full access to all AI models from $699/month. Additional AI models can be purchased individually from $199 each. There is a trial available for $30.

Ahrefs Brand Radar is built into the Ahrefs platform, which is primarily focused on SEO tracking. Brand Radar extends SEO analytics by adding AI visibility data, allowing teams to see both traditional search and AI insights in a single interface. This is particularly useful for teams already using Ahrefs.

In addition to key AI visibility metrics, the platform provides recommendations for optimizing content for AI models. An additional advantage is real-time monitoring, allowing teams to react quickly to changes. The platform also handles large datasets, analyzing over 300 million prompts per month.

Ahrefs Brand Radar includes Site Explorer, which tracks brand mentions across AI and other channels, including YouTube, Reddit, and TikTok. Another benefit is that the platform analyzes actual AI responses from real user sessions, not just simulated scenarios.

Advantages:

• Combines SEO data and AI visibility metrics in one interface.

• Deep website analytics.

• Real-time data display.

• The platform tracks brand mentions on video and streaming platforms, as well as Reddit. 

• Quick setup, minimal onboarding required.

• Recommendations for optimizing content for AI search.

Disadvantages:

• Pricing.

• Each AI model must be purchased separately.

• Works best within the Ahrefs ecosystem.

6. VisioBrand

AI models supported: ChatGPT, Gemini, Perplexity, Alice AI (YandexGPT), GigaChat, DeepSeek.

Pricing: from $99/month.

VisioBrand stands out for its simple and user-friendly interface. The platform tracks key AI visibility metrics and shows changes over time. It also collects sources referenced by AI and displays the competitive landscape in AI responses. 

The platform offers detailed analytics for each AI model and allows teams to customize dashboards with multiple metrics.

Advantages:

• Deep analytics with flexible dashboards and widgets.

• Fast setup.

• Automatically generates AI tracking prompts.

• Assesses the authority of sources.

• Runs prompts daily across all connected AI assistants.

• Sends alerts for sharp changes via Telegram and email.

• Can generate briefs for new website content.

• Supports A/B testing of content.

• Pricing plans include content generation.

• Built-in AI assistant for analyzing data.

• GEO audit available.

• Visual leaderboards for competitors and niches.

• Export data to CSV, Excel, and PDF.

• Can create brand reports.

• Competitive pricing.

Disadvantages:

• Regional filtering is not available.

• Perplexity is not included in the basic plan.

• The platform is focused on the CIS audience and local AI models.

7. PixelTools AI-Visibility

• AI models supported: Alice AI (YandexGPT), ChatGPT, Gemini, Claude, Perplexity, DeepSeek, Grok.

• Pricing: around $14/month for the “Professional” plan, around $31/month for the “Guru” plan. Trial available for $1.20.

The platform operates on a credit-based system. The “Professional” plan includes around 18,500 credits per month, while the “Guru” plan includes around 70,000 credits. Each request in a single AI model costs around 50 credits.

PixelTools AI-Visibility is an affordable AI visibility tracking tool designed for beginners, freelancers, and small teams. Part of the PixelTools ecosystem, it combines basic analytics with additional AI tools. Its main advantage is quick setup.

In addition to key AI visibility metrics, users can group data by different prompts to see how often AI models mention the brand for each topic. For example, groups such as “Products,” “Brand News,” or “Promotions” help identify the categories where the brand is most visible.

The platform also tracks AI search traffic and generates summary reports with practical recommendations to improve AI visibility.

Advantages:

• Competitive pricing.

• Quick setup.

• Automatic selection of tracking prompts available.

• One-time site checking is possible without a subscription.

• Data export to Excel and CSV.

• Includes tutorials and actionable insights on improving AI visibility.

• Content and image generation available.

• Source ranking shows which sources AI models reference.

Disadvantages:

• Basic analytics only.

• No automatic alerts or notifications.

• The platform is focused on the CIS audience and local AI models.

Custom AI monitoring setup with Octo Browser

When using specialized AI monitoring tools, data can sometimes be skewed. This happens because AI models take context into account, including query history, user behavior, region, and account. As a result, the AI assistant doesn’t show a “pure” response but rather its personalized version based on previous interactions.

To eliminate this factor, some specialists adopt a custom approach. They simulate real user behavior and check how AI responds under different conditions and across regions.

Octo Browser allows managing these conditions precisely. It creates isolated browser profiles with unique digital fingerprints. Each profile has its own set of parameters—operating system, language, screen resolution, time zone, and more. In total, Octo can spoof over 50 fingerprint parameters.

Each Octo profile functions as a separate and isolated environment. Cookies and history are stored within the profile and do not overlap with other profiles. For AI models, they appear as independent users with different behavior and context. This enables running clean sessions or, alternatively, simulating users with a specific history, depending on the testing objective.

How to set up an AI monitoring system in Octo Browser

1. Sign up on the Octo Browser website, download the browser, and purchase a subscription. The browser is available for Windows, macOS, and Linux. Pricing starts at €7 per month.

2. After installation, create several profiles with different fingerprints and assign separate proxies to each. These are required for AI monitoring across different regions. Each profile will simulate an independent user with their own geolocation and no history.

Proxies can be purchased directly within Octo Browser via the built-in Proxy Shop. Octo users can get discounts of up to 60% on proxy bundles.

3. Launch a profile. To do so, click the “Start” button next to it. A browser window similar to Google Chrome will open.

4. Open the AI tools you need—for example, ChatGPT, Perplexity, or Gemini. It is recommended to use them without logging in whenever possible if you want to reduce personalization.

Tip: If you want to simulate different types of user behavior, use the Cookie Robot in Octo Browser to prepare your profiles. The Robot automatically collects tracking pixels and cookies from specified websites. All you need to do is provide a list of URLs the Robot should visit. For example, to simulate a marketing-focused user, add industry-specific resources such as marketing blogs or advertising platforms. The Robot will visit them and collect the necessary cookies. As a result, the profile will appear as a real user with those interests.

5. Run previously prepared tracking queries. These can be generated using specialized tools, AI systems, or manually. Examples include “best fitness app” or “top vibe coding courses.”

Important: If you want to track a brand within a single AI model across different regions, create separate profiles and assign unique proxies for each target location to them.

What data to collect and analyze

Each AI assistant response should be analyzed individually. Be sure to track the key metrics:

• whether the brand appears in AI responses;

• the position at which the AI mentions it;

• the context of the mention—recommendation, list, or comparison;

• which competitors appear alongside it;

• which sources the AI model references in its response.

After running several queries, patterns typically begin to emerge. For example, you may notice how recommendations and brand mentions vary across regions, where competitors most often appear, and which sources the AI model relies on.

Advantages and limitations of custom AI monitoring

Among the advantages of custom AI visibility tracking with Octo Browser are:

• Low entry barrier. Pricing starts at €7 per month for the anti-detect browser Octo and from €2.8 per GB for residential proxies.

• Full control over metrics. You analyze exactly what matters for your brand.

• Flexible scenarios. You can run any prompts.

• Access to all AI models. You simply use the required AI tools as you would in a regular browser.

• Multi-region support. Enabled by proxies and IP addresses across 195+ locations, which can be purchased and connected directly within Octo Browser.

• Personalization control. You can test both clean profiles with no history and specifically prepared profiles.

• Scalability. The anti-detect browser Octo allows you to create an unlimited number of isolated profiles.

• Analysis of real AI responses. In a custom setup, you create a natural interaction environment and receive real responses from AI models.

This approach also comes with some limitations:

• High level of manual work. You need to create tracking prompts, analyze changes, and manually input data into analytics spreadsheets.

• Limited coverage. Since prompts are generated manually, some scenarios where AI might mention your brand may be missed.

• No alerts or reporting. The anti-detect browser does not send notifications about visibility changes or generate reports.

• Not suitable for all cases. This approach may not be optimal for multi-brand companies or managing multiple brands at once, as it requires a lot of manual work.

Tool comparison summary

For this summary, “coverage of key metrics” means the following key AI visibility metrics: brand mentions, position in AI responses, share of voice, sources cited by AI, and competitor analysis.

It is also worth mentioning a custom approach—setting up your own environment for AI visibility analysis using Octo Browser. This is not a ready-made analytics tool, but a flexible solution that can be tailored to your specific needs and scenarios.

In this case, you interact with AI directly, just like a regular user. You open AI tools of your choice (ChatGPT, Gemini, Perplexity, and others) and analyze real responses. Unlike specialized platforms, where the set of AI models is fixed or expanded at an additional cost, this approach gives you access to all AI tools available on the market. At the same time, the cost is very low compared to other solutions on the list, starting at €7 per month for Octo and €2.8 per GB for proxies.

A custom setup with Octo Browser allows you to:

• create an unlimited number of isolated profiles with unique fingerprints;

• test AI responses in different regions using proxies;

• receive real AI responses without the influence of previous context;

• control personalization by working with both clean profiles without history and specifically prepared ones;

• run targeted prompts for specific scenarios.

This provides full control over testing conditions and makes it possible to analyze AI responses in a real environment, exactly as users see them across different regions and contexts. However, this approach requires more effort. Prompts must be created, data collected, and results analyzed manually.

As a result, this approach is better suited for advanced specialists and teams that prioritize flexibility, regional analysis, and personalization control over automation in AI visibility tracking.

FAQ 

What is AI visibility tracking?

AI visibility tracking is the process of collecting data on how various AI models (for example, Gemini, ChatGPT, Perplexity, or DeepSeek) mention your brand or product in their responses.

Why is AI visibility important for businesses?

AI assistants are gradually reshaping the user journey. Today, 37% of people start their searches with an AI query. Even if your website ranks highly in Google, AI may still not reference it. What matters to AI is the content on your pages and its relevance to the user’s question. Optimizing content for AI increases the likelihood that the model will reference it in its recommendations and responses, driving users to your site. AI monitoring also helps track the sentiment of mentions and allows you to analyze competitors, e.g., what position and share of voice they hold in AI-generated recommendations.

What key metrics do AI visibility monitoring tools track?

Specialized AI visibility platforms analyze whether your brand appears in AI responses and how prominent it is to users in the AI environment. Key metrics include:

• whether your brand appears in AI-generated responses;

• share of voice across relevant queries;

• the position of your brand in AI responses (first, third, etc.);

• the pages that AI references in its answers;

• competitors appearing alongside your brand;

• the sentiment of mentions (neutral, negative, positive);

how visibility varies across different regions.