Last updated: July 2026
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Generative Engine Optimization (GEO)
Generative engine optimization (GEO) is the practice of improving how often and how prominently a brand appears in outputs from generative AI systems — including chat answers, AI Overviews, and embedded recommendations.
Why both dashboards matter
The 12% problem
Only about 12% of the URLs ChatGPT cites rank in Google's top 10. Ranking and being cited are two different games. Most teams pay for two tools to play both. SearchDock is one.
SearchDock tracks Google rankings from Search Console and AI citations from multi-pass prompt sampling in one nav — Websites, Pages, Keywords, Competitors, GSC, and Crawl alongside your AEO Score.
Source: independent analyses of ChatGPT citation overlap with Google top-10 results (2025–2026). SearchDock measures both channels so you see the full picture.
What is generative engine optimization?
GEO is optimizing content, entities, and site signals so generative models select your brand and URLs when composing answers to commercial and informational queries.
The term is broader than AEO, which focuses on answer engines. GEO also covers visibility inside AI-generated summaries and product comparisons.
How does GEO relate to AEO?
AEO is a subset of GEO focused on answer engines with explicit citations. GEO includes brand mentions without links and visibility inside AI shopping and recommendation flows.
SearchDock reports both mention rate and citation rate per prompt so GEO and AEO metrics stay separate.
What tactics improve GEO?
Publish answer-first content, maintain fresh dates, implement schema markup, ship an llms.txt file, and track multi-pass citation rates weekly — not single-run snapshots.
Entity consistency matters: always use the same brand name and product names so models attach claims to the correct entity.