What extraction method is Google using to build grounding snippets?

I’ve been reverse-engineering Google’s Gemini grounding pipeline (AI Mode, Gemini Chat…etc) by examining the raw groundingSupports and groundingChunks returned by the API. Specifically, I’m interested in the snippet construction step, the part where, given a query and a retrieved web page, the system selects which sentences to include in the grounding context supplied to the […]

Implicit Queries in AI Search

Back in 2015 I wrote about Google’s reliance of user behaviours signals for ranking purposes. In that article I already covered their use of implicit signals, but now there’s an update! While investigating Google’s grounding pipeline (the system that feeds web content to Gemini before it generates an answer) I came across the same patent […]

Sorry Google, I was wrong.

What Happened I run several tools on the Gemini API. One of them is a grounded search analysis tool that works in two stages: Gemini 2.0 Flash does a Google Search grounded query, then Gemini 3 Pro visits each source page using the URL Context tool to classify its content. Through a strange coincidence, two […]