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 starts with understanding which sources assistants draw on for your category, then improving your presence in those sources. MentionFox provides the measurement; the publishing and listing work is yours.
MentionFox checks your brand's visibility across AI assistants. For each buyer question relevant to your business, you see whether the assistant names your brand, where it appears, whether your own page is linked, and which competitors it names instead. Running the same questions every week establishes your baseline and shows the trend.
Measurement alone does not change an answer, and no tool can make an assistant name you. What changes an answer over time is the material assistants draw on: accurate pages, listings, reviews, and coverage. GEOFixer makes that work easier to aim. Its Win now board lists buyer questions where no single source owns the answer yet, with the domains actually cited in those answers and how concentrated those citations are. Where one source owns an answer, new material rarely breaks in; where citations are spread across many domains, accurate, citable material has a chance.
The Track, Target, Act framework structures the process. Track runs the same visibility check every week, recording being named and being linked separately. Target picks the buyer questions where you are absent and where no single source owns the answer yet. Act is your work on those questions: publishing accurate, citable material and getting listed where the cited domains are, then reading the next checks to see whether anything changed.
