AI search data audit
AI evaluates the catalog for completeness, consistency, and suitability for AI systems.
Optimize product data for visibility in AI search, generative systems, and AI agents.
AI evaluates the catalog for completeness, consistency, and suitability for AI systems.
Adds missing attributes and semantic data for AI indexing.
Structured data, schema.org markup, and embeddings for AI shopping agents.
Visibility tests in AI search and generative systems across target queries.
Systems the solution connects to on the client side.
AI identifies gaps in attributes and AI indexing readiness.
AIAI generates missing attributes and semantic markup.
AICategory manager reviews critical changes and approves.
HumanEnriched data is synchronized to PIM as the source of truth.
AITests in AI search and AI shopping agents; dashboard by category.
AINo invented percentages; impact described without specific figures.
No invented percentages; impact described without specific figures.
No invented percentages; impact described without specific figures.
Our own products help collect data faster, manage content, and embed AI into eCommerce workflows. In integration projects they are used as ready-made modules or customised to specific requirements.
Examples of AI implementations in digital shelf, content, and catalogue.
Generative AI rebuilds SEO content and visuals for product listings: copy, hero images, and rich content tuned to marketplace algorithms — all in a single pipeline.
An AI pipeline assembles lifestyle videos from product photos: decomposition into short artifact-free segments, parallel generation, human in the loop.
A browser agent cross-checks size charts in product listings against official brand websites: auto-search, Vision-based table extraction, and size system normalization.
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