Multi-engine AI visibility tracking
Track how a brand appears in AI-generated answers across engines named on the homepage, including ChatGPT, Gemini, Claude, Perplexity, Copilot, DeepSeek, Grok, and AI Mode.
GEO Metrics is a web-based GEO tool that tracks how brands appear in AI-generated answers across engines such as ChatGPT, Gemini, Perplexity, and Copilot. It helps brands, teams, and agencies monitor visibility, compare competitors, and review answer accuracy.
GEO Metrics is a generative engine optimization tool for measuring how a brand appears inside AI-generated answers. The homepage positions it as a way to track visibility in ChatGPT, Gemini, Perplexity, Copilot, Grok, Claude, DeepSeek, and similar engines, rather than in traditional search results.
It is built for teams that want to monitor whether AI systems mention their brand, compare that visibility with competitors, and identify inaccurate or inconsistent responses. The product also highlights daily monitoring, prompt-level tracking, sentiment analysis, and AI-powered recommendations as part of the workflow.
Track how a brand appears in AI-generated answers across engines named on the homepage, including ChatGPT, Gemini, Claude, Perplexity, Copilot, DeepSeek, Grok, and AI Mode.
Measure a brand's position for prompts and queries so teams can see where they appear in category responses and how that changes over time.
Compare a brand's visibility against competitors to understand who is mentioned in key AI answers and where the gap comes from.
Review whether AI systems mention a brand correctly and consistently, then monitor inaccurate responses that may need correction.
Use LLM-based evaluation to assess product, brand, or service feedback with sentiment analysis against competitors.
Receive AI-generated recommendations intended to help improve visibility in LLM responses and GEO strategy.
Track whether a company is mentioned when people ask category questions in ChatGPT, Gemini, Perplexity, and other engines, then review the result set for visibility gaps.
Compare a brand with named competitors on the prompts that matter most, using the platform's benchmarking and ranking views to see where each one appears.
Check whether AI systems describe a product or brand accurately and consistently, especially when the same query returns different wording across engines.
Use the sentiment analysis and AI recommendations to turn raw answer data into actions for messaging, content, or GEO strategy.
Explore the MCP mention on the homepage to connect the product with a favorite AI assistant for strategy assistance, where that workflow is available.
GEO Metrics is positioned as a demo-first product, and the contact page invites users to book a 30-minute personalized demo to see AI visibility tracking live. The homepage also offers a free-start call to action, but the available source text does not provide a documented self-serve setup flow.
The product is aimed at brands, teams, and agencies that want to understand how AI engines mention them in category answers. The homepage frames it as a tool for measuring and improving visibility in ChatGPT, Gemini, Claude, Perplexity, Copilot, DeepSeek, Grok, and related engines.
Based on the homepage copy, GEO Metrics measures brand visibility in AI-generated responses, compares competitors, monitors answer accuracy, surfaces sentiment analysis, and provides AI-powered recommendations. The source text does not show the exact report format beyond these capabilities.
The homepage says GEO Metrics can connect through MCP so users can design and execute GEO strategy by talking to their favorite AI. However, the dedicated `/mcp` page returns a 404, so the integration appears mentioned on the homepage but not documented in a live support page.
The pricing section on the homepage shows monthly and yearly plans, including a Freelance plan and a Pro plan. A separate pricing page is unavailable, so full plan details beyond the homepage excerpt are not confirmed.