optimizacion-geo-aeo

Start with a direct 40-60 word answer block at the top of the section, convert People Also Ask questions into question-formatted H2/H3 headings, and include concrete data, named entities, and verifiable authorship. The Skill's script detects whether your target query actually triggers an AI Overview before you invest effort.

AEO (Answer Engine Optimization) targets answer features inside the SERP: featured snippets, People Also Ask, Knowledge Panels, and AI Overviews. GEO (Generative Engine Optimization) targets citations and brand mentions inside LLM responses from ChatGPT, Perplexity, and Copilot, where the goal is brand presence rather than a link.

Run the included ai_features.py script with your SerpApi key and a query; it returns JSON indicating AI Overview presence, featured snippet type (paragraph, list, or table), and the list of PAA questions. Without an API key, check manually in an incognito Google search.

Yes, the Skill works fully in manual mode. You search the keyword in Google incognito to observe AI Overviews, featured snippets, and PAA boxes, then ask the same question in ChatGPT or Perplexity to benchmark which brands get cited. The SerpApi script only automates that detection step.

LLMs favor content with clear authorship credentials, dates, unambiguous language, and self-contained citable statements. If your answer is buried after long introductions, lacks E-E-A-T signals, or your brand is never named next to key claims, models will cite other sources instead.