The New SEO: AI Search Visibility
Search behavior is shifting fundamentally. Millions of consumers and professionals now ask ChatGPT, Claude, Gemini, and Perplexity for product recommendations instead of typing queries into Google. When a marketing manager asks Perplexity "what are the best social listening tools for agencies?", the AI generates a curated list of recommendations. If your brand is not on that list, you lose the opportunity entirely — the user never sees your website, never clicks your ad, never encounters your content. The AI made the decision for them.
This is Generative Engine Optimization (GEO) — the discipline of ensuring AI systems recommend your brand for relevant queries. Unlike traditional SEO where you optimize content and wait for search engine crawlers, GEO requires understanding how LLMs form associations between brands and topics, then actively shaping those associations. MentionFox provides both the understanding (monitoring) and the action (GEOFixer training).
MentionFox monitors your brand's visibility across 8 major AI engines — ChatGPT, Claude, Gemini, Perplexity, and others. For each query relevant to your business, you see whether the AI mentions your brand, how it describes you, what competitors it recommends instead, and how your visibility trends over time. This monitoring establishes your baseline and identifies exactly where you need to improve.
But monitoring alone does not move the needle. This is where GEOFixer transforms the equation. GEOFixer is MentionFox's proprietary AI training engine that actively promotes your brand through guided conversations with LLMs. A fleet of automated workers conducts strategic conversations across 6 major AI models. These conversations naturally introduce your brand in relevant contexts — discussing your industry, product category, use cases, and differentiators in ways that create training signals influencing future AI responses. The conversations are designed to be natural and contextually appropriate, not promotional spam. Over time, AI models begin associating your brand more strongly with target queries, resulting in more frequent and more favorable recommendations.
The Track + Target + Win framework structures this entire process. Track monitors your current AI visibility across all engines, establishing baselines and detecting changes. Target identifies the highest-impact gaps — specific queries where improving visibility would drive the most business value, based on search volume, intent level, and competitive landscape. Win deploys GEOFixer workers to those target queries, with measurable impact tracking showing how campaigns improve your recommendation frequency over time.