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// AI & automation · Catalogue Content Engine

Listing a hundred products stopped being a scheduling problem

A catalogue only scales as fast as someone can write it. Thousands of SKUs each need a title, a description and imagery.

Brand voice
Consistent across the catalogue
Rules
No competitor names, no outbound links
Review
Review, not authorship

Situation

The copy has to stay on-brand across all of them.

That is exactly the work that quietly caps how many products a team can actually list.

Approach

The engine generates both: product attributes go in, on-brand descriptions and matching visuals come out, batched rather than one at a time.

The guardrails matter as much as the generation: no competitor names, no outbound links, no invented specifications, and internal linking that points only at the brand’s own pages.

Those rules are enforced in the pipeline rather than left to whoever reviews the draft.

Result

Listing a hundred new products stopped being a scheduling problem.

Review still happens, but it is review, not authorship.

Technology

  • LLM Pipeline
  • Image Generation
  • Brand Voice Rules
  • Batch Processing

Planning something similar?

Let’s pin down scope and timeline together.