Google AI Agent

A SaaS company's AEO team learns about the Google AI agent leak. They set up daily monitoring: Scavio searches 50 brand queries with include_ai_overview, parsing AI Overview citations for brand mentions. When the agent launches, they expand monitoring to agent-specific queries. Within the first week, they discover their competitor appears in 3x more agent recommendations because the competitor's comparison page ranks higher for '[category] comparison 2026' queries.

Google AI Agent is relevant to Google. Scavio provides a unified API to access data from all of these platforms.

The leak suggests Google's AI agent will go beyond AI Overviews by performing multi-step research tasks: searching multiple sources, comparing products, and synthesizing recommendations. For SEO and AEO teams, this creates a new optimization surface. Unlike AI Overviews which appear on the SERP, the AI agent operates in a conversational interface where the user may never see the underlying search results. Brands that appear in the agent's source data get recommended; brands that don't get skipped entirely. Monitoring strategy: track which queries trigger AI agent responses, whether your brand appears in the agent's citations, and how the agent frames your product vs competitors. Tools for monitoring: Scavio's Google endpoint with include_ai_overview returns AI Overview citations (the closest proxy until Google ships agent-specific APIs), Semrush and Ahrefs track SERP features, and manual testing catches agent-specific behaviors.