Product Data Optimization & Content Enrichment
Search engines, marketplaces and AI answer engines all read the same thing: your product attributes. Stell Media delivers product data optimisation and content enrichment for large, messy catalogues, combining AI-assisted workflows with human review so every product is complete, consistent and easy to find across site search, marketplaces and AI search.
The problem
Why Incomplete Product Data Keeps Good Products Invisible
Incomplete data is the most common reason good products stay invisible. When attribute coverage falls below roughly 70%, three problems appear at once. Filters return the wrong product sets, so shoppers abandon faceted navigation. Product feeds get disapproved in Google Merchant Center and marketplaces. AI answer engines skip the product because they cannot verify a claim about it.
This is unglamorous work, which is why it is often neglected. It is also the work with the shortest path between effort and revenue on most catalogues we audit. Fixing product attributes improves ecommerce product findability, search relevance and feed quality in a single programme.
What You Get: Our Product Data Optimisation Services
Every engagement ships these four deliverables, with nothing you cannot point at.
Taxonomy Rebuild
We build a category and attribute model that matches how buyers search, not how your ERP happens to be organised. The result is cleaner navigation, stronger filters and a product taxonomy your team can realistically maintain.
AI-Assisted Product Data Enrichment
We extract attributes from spec sheets, images and supplier documents using Claude and GPT pipelines, then human reviewers check every batch before anything reaches production. Every generated value maps back to a source document, and anything without a source is flagged rather than published.
Attribute Coverage Scoring
Per-category completeness scoring shows exactly which parts of the catalogue are still costing you sales, so you can prioritise by revenue instead of guesswork.
Product Copy at Scale
Product titles and descriptions are generated against a house specification, mapped to source data and reviewed by an editor. You get consistent, accurate product content across thousands of SKUs without losing your brand voice.
How We Run Product Data Optimisation, Week by Week
Coverage Audit
We score field-level completeness and consistency across the whole catalogue, by category and by revenue.
Taxonomy Design
We agree the attribute model with your merchandising team, including only the fields you can realistically maintain.
Enrichment Run
Extraction, generation and human review run in batches, starting with your highest-revenue categories so value arrives early.
Intake Rules
We document requirements for new products so the catalogue stops degrading the moment we leave.
Stack we work in
Platform-agnostic. We work in whatever you already own and tell you honestly when it is the constraint.
Product Data Optimisation FAQs
Not in this pipeline. Every generated attribute is mapped back to a source document, and anything without a source is flagged for a human rather than published.