Google AI Overviews use a combination of Google's existing quality signals and new AI-specific readability and extractability signals to select which content to feature. The overlap with traditional SEO is substantial — high-quality, authoritative pages that rank well on Google are also more likely to appear in AI Overviews — but there are distinct additional factors that determine whether content is actually used inside the generated answer.
Traditional Quality Signals Still Matter
Pages that rank in positions 1 through 5 for a query are the most commonly featured in AI Overviews for that query. Domain authority, backlink quality, E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) signals, and technical quality metrics all contribute to whether a page is in the candidate set that the AI considers. Building AI Overview presence is not separate from building traditional SEO strength — it requires both.
The Additional AEO Factors
Among pages in the candidate set (those that rank reasonably well), the AI Overview selection further favors: pages with structured data that explicitly declares the content's topic and answer format, content organized around question-based headings that match the query intent, direct answers in the first sentence following each heading, and FAQPage schema for Q&A sections. These signals help the AI identify which specific sections of which pages to extract and synthesize into the Overview.
What to Do With This Information
A site that ranks well on Google but lacks structured data and question-based content architecture is leaving AI Overview placements on the table. Adding FAQPage and Article schema to existing high-ranking pages, restructuring content to put the direct answer first in each section, and implementing proper heading hierarchy for extractability can convert existing SEO authority into AI Overview citations. The Omni AEO audit and implementation service does exactly this on existing sites.