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Contact UsGenerative Engine Optimization for ChatGPT, Gemini & Perplexity
Search is splitting in two. Half of brand research now happens inside AI answer engines: ChatGPT, Gemini, Perplexity, Copilot, and Claude. Unlike Google, these systems do not return ten blue links. They give a single synthesized answer, and most users never click through to verify it. Our generative engine optimization service ensures these systems describe your brand correctly, list you when prospects ask for category recommendations, and cite your owned content as the source.
5+
AI engines optimized in parallel
60-120d
Typical answer-correction window
3x
Recommendation-rate uplift on category prompts (median program)
Our Approach
- Baseline audit: what every major AI engine currently says about your brand and category
- Structured-data and content rewrites that AI crawlers parse accurately
- Citation-bait content placed on sources that AI engines treat as authoritative
- Wikipedia, Wikidata, and Google Knowledge Panel alignment to seed AI training data
- Reddit, Quora, and forum strategy targeting the corpora these models train on
- Monthly answer-engine tracking with category-prompt benchmarking
GEO Is Not SEO with a New Name
Traditional SEO optimizes for ranking on a results page. Generative engine optimization optimizes for being selected, cited, and recommended inside a synthesized answer. The tactics overlap (authority, structured data, accurate entity data) but the measurement is different: we track answer mentions, recommendation rate, and citation share, not click-through rate.
Frequently Asked Questions
What is generative engine optimization?
Generative engine optimization (GEO), also called answer engine optimization (AEO) or AI search optimization, is the practice of influencing how generative AI systems like ChatGPT, Gemini, Perplexity, Copilot, and Claude describe your brand and whether they recommend you in category answers.
How is AEO different from SEO?
SEO targets the ten blue links of a traditional search results page. AEO targets the single synthesized answer that AI systems return. The underlying signals overlap (authority, structured data, accurate entity information) but the optimization target and the success metrics are different.
Can you actually change what ChatGPT says about my company?
Yes, with caveats. Models trained on frozen snapshots (like older ChatGPT versions) only change when retrained. Real-time retrieval engines (Perplexity, ChatGPT with browsing, Gemini, Copilot) update within days or weeks of source-content changes. Our program targets both: we update the live retrieval corpus immediately and seed authoritative sources that feed the next training cycle.
Why does this matter for my business?
When a prospect asks ChatGPT for "the best crypto exchange in Europe" or "is [your brand] legitimate," the synthesized answer determines whether they ever visit your website. If the answer is wrong, missing, or names your competitors instead, you lose the deal before you knew it existed.