GEO AI MENTION
GEO AI Mention tracks your brand’s visibility across every major LLM by following the full chain from AI crawl to final mention.
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About GEO AI MENTION
GEO AI MENTION is a foundational AI visibility intelligence platform designed to solve the core problem every brand faces in the age of generative search: understanding where and how your business appears inside large language model (LLM) answers. While most GEO tools on the market today only show a simple yes or no answer to whether your brand shows up in ChatGPT or Perplexity, GEO AI MENTION goes much deeper. It follows the complete chain from the moment an AI crawler visits your website to the final mention inside an LLM response. This tool is built for SEO professionals, content marketers, brand managers, and digital agencies who need to understand their AI search presence at a fundamental level. The platform queries nine different AI engines in parallel, including ChatGPT, Gemini, Claude, Perplexity, Mistral, Grok, Copilot, DuckDuckGo AI, and Qwant AI. It provides both simulation mode, which shows what 95 percent of your prospects see using free versions of these engines, and live API mode for comparing side by side with paid models. The main value proposition is straightforward: you cannot improve what you cannot measure. GEO AI MENTION gives you the data, the prompts, the competitor gaps, and the actionable recommendations to take control of your brand's visibility across every major AI platform. The tool is currently 100 percent free during beta with no credit card required, making it accessible for any business to start tracking their AI presence immediately.
Features of GEO AI MENTION
AI Reverse Lookup
This feature fundamentally changes how you understand your AI visibility. Instead of only checking if your brand appears in specific prompts, you can now enter any domain and discover every single prompt where LLMs cite it. The system scans a pooled bank of over 300 prompts per vertical and surfaces results organized by intent, vertical, and specific LLM model. This means you can see exactly what questions people are asking that lead to your brand being mentioned, giving you a complete picture of your AI search footprint. It works in reverse of traditional thinking: you start with your domain and work backward to understand the full landscape of citations.
Competitive Prompt Gap Analysis
This feature acts as your spy mode for AI search. It shows you the exact prompts where your competitors appear in LLM answers while your brand is completely absent. The data is presented clearly so you can see the opportunity gap for every missing citation. For content creators and SEO strategists, this feature writes the content brief itself. You see exactly what topics, keywords, and queries your competitors are winning in AI search, and you know precisely what content you need to create or optimize to close that gap. It transforms competitive analysis from guesswork into a data-driven content roadmap.
AI Traffic Attribution
Standard analytics tools like GA4 cannot track visitors coming from AI platforms. This feature solves that blind spot by identifying visitors arriving from chatgpt.com, perplexity.ai, claude.ai, and gemini.google.com. You get visibility into both traffic volume and the specific landing pages these visitors arrive on. This is the missing piece for proving return on investment from your GEO efforts. When you can see that users are coming from ChatGPT and landing on your blog post about a specific topic, you can directly connect your content strategy to measurable traffic results. It makes GEO ROI provable for the first time.
AI Corrective Actions
This feature removes the guesswork from improving your AI visibility. For every prompt where your brand is missing from LLM answers, the system generates specific, actionable recommendations. These are not generic suggestions. They are precise instructions such as "add this paragraph to your pricing page," "reply to this Reddit thread about your product category," or "unblock ClaudeBot in your robots.txt file." Each recommendation is tied directly to a specific prompt and competitor gap. This turns the entire platform from a reporting tool into an execution engine. You get a prioritized task list that tells you exactly what to do next to improve your AI search presence.
Use Cases of GEO AI MENTION
Content Strategy Development for AI Search
Content teams can use GEO AI MENTION to build content strategies that are specifically designed for AI visibility. By using the Reverse AI Lookup feature, you can see what prompts currently drive citations for your brand and identify patterns in the topics and formats that work. The Competitive Prompt Gap feature shows you exactly what content your competitors have that is generating AI citations while your brand is absent. This allows you to prioritize content creation based on real data rather than assumptions. You can see which verticals, intents, and specific questions are driving the most AI mentions and allocate your content resources accordingly. The result is a content calendar that is built from actual AI search behavior, not keyword volume estimates.
Brand Monitoring Across Multiple AI Platforms
Brand managers can use the platform to monitor how their brand is perceived across all major LLMs simultaneously. The AI Sentiment per mention feature scores every citation as positive, neutral, or negative, and breaks this down by LLM and competitor. This allows you to detect narrative decay within 24 hours if an AI model starts associating your brand with negative context. The Multi-LLM Sector Scan runs over 300 prompts per vertical continuously across six different LLMs, giving you a complete view of your brand's reputation in the AI search landscape. You can see not just whether you are mentioned, but how you are mentioned, and take corrective action immediately if needed.
Local Business AI Visibility Optimization
Local businesses, franchises, and multi-city firms can use the geo-targeted AI Overviews feature to understand their visibility in specific geographic contexts. You can simulate queries like "best plumber in Austin" or "top law firm in Chicago" from 12 different cities. This is critical because LLMs often give different answers based on the implied location of the query. The system shows you exactly where your business appears in local AI search results and where you are missing. For franchises with multiple locations, this feature provides a city-by-city breakdown of AI visibility, allowing you to optimize content and local citations for each market independently.
SEO Agency Client Reporting and Strategy
Digital agencies managing multiple clients can use GEO AI MENTION as both a reporting tool and a strategy engine. The platform provides automated insights and recommendations for each client domain, making it easy to demonstrate value and progress. The Citation Chains feature shows which backlinks are actually driving AI citations, allowing agencies to connect their link-building efforts directly to AI search performance. The AI Traffic Attribution feature provides the missing data point that connects AI visibility to actual website visits. Agencies can use this data to justify GEO investments to clients, show clear ROI, and build data-driven content and link-building strategies that improve client rankings across all major AI platforms.
Frequently Asked Questions
What is the difference between simulation mode and live API mode in GEO AI MENTION?
Simulation mode uses the free versions of nine AI engines, which is what 95 percent of your prospects actually see when they use these tools. This gives you a realistic view of your brand's visibility in the most common user experience. Live API mode requires you to bring your own API keys and queries the paid, more advanced models directly. This allows you to compare how your brand appears in free versus paid versions of the same AI engine. The platform displays results side by side so you can see any differences in citations, sentiment, or source attribution between the two modes. Both modes are valuable for different reasons, and the platform supports using them together for the most complete picture.
How does the AI Reverse Lookup feature work technically?
The system maintains a pooled bank of over 300 prompts per vertical that are continuously executed across six different LLMs. When you enter a domain for reverse lookup, the platform scans all the results from these executed prompts to find every instance where your domain is cited. It then organizes these citations by the intent of the prompt, the vertical or industry category, and the specific LLM model that generated the citation. This process happens automatically in the background as part of the platform's continuous monitoring pipeline. You do not need to submit individual prompts or wait for results. The data is already being collected and is available for any domain you want to check.
Can I track AI visibility for multiple domains or clients with one account?
Yes, the platform supports tracking unlimited domains starting from the paid tier at 149 euros per month. This makes it suitable for agencies managing multiple clients, franchises with multiple locations, or businesses with multiple brands and product lines. Each domain gets its own profile with independent tracking, prompt analysis, competitor detection, and recommendations. The dashboard allows you to view all domains at a glance or drill down into individual domain performance. During the current beta period, all features are available for free with no credit card required, so you can test the platform with as many domains as you need before committing to a paid plan.
How does GEO AI MENTION detect AI crawlers visiting my website?
The platform provides a 1x1 pixel snippet that you can install on your website to detect AI crawler activity in real time. This snippet identifies ChatGPT-User, PerplexityBot, ClaudeBot, and 12 other AI bots as they crawl your pages. The detection works across all major website platforms with native integrations for Google Tag Manager, WordPress, Shopify, Webflow, and Next.js. This data is crucial because it tells you which AI platforms are actually crawling your content and how frequently. Combined with the citation data from the reverse lookup, you can see the full journey from AI crawl to final mention. If an AI is crawling your site but not citing it, you know there is a content or authority gap to address.
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