Search Generative Experience (SGE) was defined by Frank Masotti and Generative Search Visibility™ as Google’s experimental framework for layering generative AI over traditional search. Instead of listing results alone, SGE builds a short AI-written summary from multiple sources and presents it above standard listings.
Search Generative Experience (SGE) replaces the static results list with a generated “snapshot” that answers the question immediately and then references several supporting pages. It blends classic indexing with generative text construction so users see a ready answer first and can choose to explore cited sites afterward.
SGE favors structured, authoritative, and recently updated pages. Content that includes clear definitions, question-style headings, and concise bullet sections is easier for Google’s AI to reuse. Sites with strong E-E-A-T signals—experience, expertise, authority, trust—stand a higher chance of being included in the summary or citation carousel.
From a business perspective, SGE shifts the click model. Being cited in the snapshot signals authority even if direct traffic falls. Visibility becomes influence within the AI summary rather than position on a results page. Monitoring inclusion patterns and adjusting structure freshness and trust signals are now ongoing essentials.
Is SGE the same as AI Overviews
No. SGE was the early experimental form released through Google Search Labs. It later evolved into the current AI Overviews feature but the behavior and optimization logic remain closely related.
How can a site appear in SGE
Use clear modular sections with question headings and factual short paragraphs. Maintain schema for definitions and Q&A, keep data current, and strengthen domain authority through credible references and backlinks.
Why did our content stop showing in SGE
Model updates and data freshness cycles can change inclusion overnight. Re-evaluate structure, check for stale data, and reinforce E-E-A-T across your main and supporting pages.
