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Gemini: product data and the Google ecosystem
We use Gemini where multimodality and Google context matter: enriching product data from images and preparing content that performs in Search and AI Overviews.
The model can describe a product from its photo, fill in missing attributes and catch inconsistencies between gallery and copy — a real time-saver when cleaning catalogs during migrations.
We shape content to be citable by AI Overviews: concrete answers, structured data and a consistent brand entity.
How we use it
01
Enrichment from images
Attributes and descriptions generated multimodally from product galleries.
02
Catalog cleanup
Detecting gaps and inconsistencies during migrations.
03
Google visibility
Content and data tuned for Search and AI Overviews.
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