"Google updated its query fan-out technique to be a visual search fan-out technique. It is able to break down your question into subtopics and issue a multitude of queries simultaneously on your behalf. Now, Google can also do this visually by looking at the image and text query input for query analysis and various image region analysis, including meta data and context around the image. Then Google AI Mode can render a visual grid of responses to your query."
"This means AI Mode can perform a more comprehensive analysis of an image, recognizing subtle details and secondary objects in addition to the primary subjects - and then runs multiple queries in the background. This helps it understand the full visual context and the nuance of your natural language question to deliver highly relevant visual results. This also includes responding to your Shopping queries with more visual ideas, using the massive Google Shopping Graph."
AI Mode now understands queries visually and responds with both textual and visual outputs. The system uses a visual search fan-out technique to break questions into subtopics and issue many queries simultaneously. It analyzes image and text inputs, including image regions, metadata, and context, to capture subtle details and secondary objects. AI Mode runs multiple queries in the background and can render a visual grid of responses. The feature supports visual shopping results by leveraging the Google Shopping Graph. The new experience aims to spark inspiration and will roll out in English in the U.S.
Read at Search Engine Roundtable
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