AI Catalogue Manager: product data that sells and gets cited
The nexCommerce AI Catalogue Manager audits every product record, finds what weakens conversion and discoverability — missing images, weak titles, thin descriptions, absent attributes, wrong categories, duplicates, missing SEO fields — and drafts the fix. Merchandisers review and approve in bulk.
Key takeaways
- Continuous quality audit across the whole catalogue, scored per product and per category.
- Drafts content that is answer-first and schema-complete, so every fix improves SEO and AEO together.
- Suggests category, attributes, tags and unit of measure, and maps supplier feeds to your taxonomy.
- Bulk approval with an audit trail; nothing publishes without a person.
What does the AI catalogue manager check?
Eight classes of defect, each with a proposed fix rather than a ticket. The point is not the report; it is that the report arrives with the work already drafted.
| Check | Example finding | Proposed fix |
|---|---|---|
| Images | 1,412 products with no secondary image | Request from the supplier feed; flag the rest for a shoot |
| Titles | Titles under 30 characters or missing the brand | Draft a title with brand, type, key attribute and size |
| Descriptions | Under 60 words, or copied from the supplier | Draft an answer-first description and bullets |
| Attributes | Missing size, material or dietary flags | Extract from description or supplier data, then ask for confirmation |
| Categories | Products sitting in a parent-only category | Suggest a leaf category and secondary categories |
| Duplicates | The same GTIN on two products | Propose a merge |
| SEO and AEO | No meta description, no FAQ, missing schema fields | Draft the meta, the FAQ and the attribute values |
| Feeds | Shopping feed disapprovals | Fix the mapped fields |
How does AI catalogue enrichment fit a merchandiser's day?
As a morning report and an approval queue, not another system to log into and maintain.
- 01A morning report: catalogue health score, worst categories, new supplier-feed issues.
- 02Review drafts by category; edit or approve in bulk.
- 03Publish — storefront pages, schema, feeds and llms.txt regenerate together.
- 04Track the effect on search impressions, conversion and AI citations per category.
How is it different from a PIM?
A PIM stores product data. The catalogue manager improves it: it measures quality, writes the missing content in your tone, maps taxonomy and pushes the result through the storefront, the feeds and the answer-engine files. It works alongside a PIM.
AEO optimised storefrontStart with a catalogue health score
Most catalogues have a five-figure number of fixable defects and no way to see them ranked. The audit is the useful first step whether or not you buy anything.
Whose tone does it write in?
Yours. Brand voice, banned words and claims rules are configured once and applied to every draft, so the output reads like your catalogue rather than a generic one.
Does it change live content automatically?
No. Drafts are proposals until approved, and approval can be delegated by category and risk level.
Does it handle B2B catalogues with units of measure and pack sizes?
Yes. Unit of measure, pack hierarchy and contract products are first-class attributes rather than free text.