Optimize product detail pages and marketplace listings for discovery and conversion — titles, bullets, descriptions, imagery, A+ content, and marketplace algorithms (Amazon A10/COSMO/Rufus). Includes bulk-copy generation guidance. Triggers: writing/optimizing PDP copy, marketplace listings, bulk product descriptions.
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A listing has two readers: the ranking algorithm and the buyer. Optimize for both — keyword-relevant enough to surface, persuasive enough to convert — across your own PDP and marketplaces.
Gather: channel (own store vs Amazon/Meta/etc.), product category and key attributes, target keywords, and goal (optimize a PDP, write a marketplace listing, or generate bulk descriptions).
| Mode | Trigger | Output |
|---|---|---|
| PDP | pdp | Optimized own-store product page copy |
| Marketplace | marketplace | Channel-specific listing (title/bullets/A+) |
| Bulk | bulk | Templated copy for many SKUs at scale |
| Element | Rule |
|---|---|
| Title | Brand + product + key differentiator; front-load the noun |
| Bullets | Benefit-led, scannable; feature → benefit translation |
| Description | Story + specs; answer objections; structured for skim |
| Imagery | Multiple angles, scale/context, zoom; alt text for SEO + a11y |
| Trust | Reviews, ratings, returns, shipping, stock signals near the CTA |
Map product attributes (from commerce-data-model) into structured spec tables — buyers filter on them and search engines index them.
Marketplace listings must satisfy ranking systems, not just shoppers:
Avoid keyword stuffing; modern algorithms penalize it and shoppers distrust it. Hand SEO structure to ai-seo / seo-audit.
For large catalogs, template the copy:
Pair with merchant-feed (the script there validates the structured attributes that feed both listings and ads).
| Request | Output |
|---|---|
| PDP | Title + bullets + description + image/alt brief |
| Marketplace | Channel-tuned listing with keyword map |
| Bulk | Category templates + slot mapping |
A listing is READY when the title front-loads the product, bullets are benefit-led, intent/use-cases are covered for AI search, trust signals sit by the CTA, and there's no duplicate-content risk.
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