programmatic SEO QA prompt
Programmatic SEO QA prompt template
Review a batch of repeatable AI pages for duplicate intent, missing proof, weak links, and risky autopublish behavior before scaling.
Competitor pattern
Programmatic SEO generators sell scale; winning the same demand requires visible QA and dedupe controls.
Operators scaling AI pages from datasets, competitor lists, locations, or use cases
Prompt
Audit this complete programmatic page set and template: [page rows, source fields, existing URLs, locale]. Never inspect only the first records; account for every row and report exact row IDs.
Cluster pages by search intent, reader promise, entity pair, and decision enabled. Flag duplicate or cannibalizing rows, doorway pages, near-empty variable swaps, contradictory claims, missing source data, unsafe locales, and pages with no unique information gain.
For each template field define source, validation rule, null behavior, freshness owner, and whether it may appear in title, visible copy, metadata, schema, links, or CTA. Never publish a field that cannot be verified.
Require each approved page to have a unique direct answer, useful comparison or evidence, complete entity context, canonical rule, indexability decision, internal links in and out, and a maintenance trigger. Do not use word count as a proxy for value.
Return row-addressed approve, revise, merge, redirect, noindex, or reject decisions; issue codes; conflicting row IDs; template fixes; evidence gaps; link graph; canonical map; sitemap decision; and staged publish order.
Score uniqueness, evidence, intent fit, SEO safety, answer-engine usefulness, and maintainability. Fail closed for missing required data or unresolved duplicate intent.
Expected output
- Intent dedupe groups
- Approve/revise/reject table
- Template variables and proof needs
- Batch publish order
Workflow
- Paste the planned page pattern.
- Run dedupe and proof checks.
- Keep only pages with unique intent.
- Map internal links and CTAs.
- Move approved pages into TrafficWins.