Writing citation-worthy product copy for AI retrieval

Product copy written for human persuasion often fails retrieval: superlatives without numbers, specs buried in bullets below fold, compatibility mentioned only in images. Citation-worthy copy reads like a technical brief with buyer context.

Lead paragraph: product category, primary use case, three measurable specs. Section blocks with H2 questions buyers ask. Comparison table vs prior model or category norms. FAQ for edge cases.

Prefer "704Wh capacity, 1400W surge" over "massive power." State exclusions ("not compatible with 220V outlets in JP without adapter"). Include measurement units and standards (IP67, OEKO-TEX).

Keyword-stuffed synonym paragraphs. Unverifiable "#1 in America" claims. Duplicate boilerplate across 400 SKUs—customize at least specs and FAQ.

Mine support tickets and sales chat for question phrasing. Update copy when inventory or regulations change—stale copy is stale evidence.

Will shorter copy hurt SEO word count? Quality beats length; consolidate fluff into tables.

Should I show personality? Yes in brand voice, but facts stay literal in spec sections.

Can AI write first drafts? Use for structure only; human-verify every number.

After copy refresh, run Visora /audit to confirm HTML facts match JSON-LD—copy changes often drift schema if teams are siloed.