GEO — Generative Engine Optimization

GEO (Generative Engine Optimization) is the discipline of getting selected and mentioned in AI-generated answers (ChatGPT, Perplexity, Google AI Overviews, Copilot). Classic SEO targets your position in the list of blue links; GEO targets selection in the generated answer, which appears above any link and often has no visible alternative.

On the retrieval channel: passage-level structured content, extractable, plus allowed access for AI bots (robots.txt + llms.txt) and schema markup. On the parametric channel: consistent brand and entity signals across the web. No serious provider guarantees citation — the systems are probabilistic; the work increases your odds, and we measure it.

Retrieval = the model actively searches for content in real time and cites it with attribution; you control it through structure, authority, and crawlability, and the effect shows up within weeks. Parametric = what the model internalized during training about you; it changes only at the next retraining cycle (every few months). The winning strategy aligns both channels.

On retrieval, changes can show up within weeks after content is structured correctly and bots have crawled it. On parametric, the effect comes more slowly — at the model’s next retraining cycle. That’s why we work on both simultaneously and report progress transparently.