This guide distinguishes documented platform guidance from practical observations. AI and search platforms can change, and no placement or recommendation is guaranteed.
What GEO is trying to solve
Generative engine optimization describes work intended to improve how a brand or source appears in AI-generated answers. Answer engine optimization and AI SEO are overlapping labels. The terms are not controlled standards, so two vendors may use the same label for very different services.
A credible plan names the specific outcome: crawler access, brand understanding, answer citations, non-branded mentions, competitor coverage, or conversions from AI-referred visitors.
Separate established practice from speculation
Google says there is no special schema required for its generative search features and recommends focusing on core SEO, crawlability, useful content, and strong page experience. OpenAI provides separate robots controls for search and model training.
Beyond official documentation, many platform behaviors are not fully disclosed. Treat experiments as observations, not universal ranking laws. Do not invent a mechanism simply because a tactic appeared to work once.
- Established: public pages need to be accessible for retrieval
- Established: clear, useful, supported content helps people and search systems
- Platform-specific: crawler names, controls, and reporting
- Uncertain: undisclosed weighting and selection mechanisms
- Invalid promise: guaranteed citations or recommendations
A practical GEO program
Start with the website foundation, then map customer questions to existing pages. Measure supported visibility and competitor appearances. Improve or create only the pages tied to a real offer and a real search need. Add credible third-party evidence over time.
Connect every measurement to the acquisition funnel. If a page receives discovery traffic but produces no scans, improve the audience fit, explanation, and CTA before celebrating the ranking.