Turn product and category pages into AI-citable sources.
AI search optimisation for eCommerce brands that need product, category, and marketplace visibility in generative search answers.
Built around how buyers ask AI
Shoppers use AI to compare products and categories before they ever reach a marketplace or search engine.
Multilingual and multi-market retailers need structured product data that AI engines can retrieve accurately.
eCommerce buyers use AI for product discovery, category research, and buying-guide questions. Each engagement starts with prompt mapping, citation benchmarking, source-page analysis, and a practical roadmap for improving AI retrieval.
A practical GEO workflow for ecommerce geo services brands
We structure product data, category intent, buying guides, review signals, and multilingual content so AI engines can retrieve the right products and recommend them in answers.
A practical GEO workflow for ecommerce brands
Prompt map
Identify the questions and comparison prompts your buyers ask AI.
Audit
Find source, schema, entity, authority, and retrievability gaps.
Optimise
Rewrite and structure pages so AI systems can extract better answers.
Measure
Track citation, recommendation, and prompt-level visibility changes.
What we optimise
- Product and category schema
- Buying-guide content restructuring
- Review and trust signal calibration
- Multilingual product visibility
- Schema, metadata, and entity clarity
- AI visibility reporting