15-field strategy outline
Intent, cluster role, SERP features and E-E-A-T settled up front — publishing decisions with receipts.
Content
SEO content pipeline
A senior SEO's judgment burned into before, during and after writing.
What it does
Before writing: the outline is not a paragraph but 15 structured fields — search intent, funnel stage, cluster role, SERP features to target, recommended schema type, four-dimension E-E-A-T signals, FAQ and internal-link ideas. A cannibalization pre-flight injects your existing same-topic pages into the prompt so new articles never eat old rankings.
During: the draft enforces the outline's decisions — featured-snippet definitions in the first 40-60 words, PAA as Q&A blocks, comparisons as real tables, E-E-A-T signals embedded verbatim, JSON-LD appended automatically. After: GSC cannibalization monitoring finds queries where multiple pages of yours compete, graded by winner click-share into merge, de-optimize or watch.
Core capabilities
Double cannibalization guard
Pre-flight before writing, GSC monitoring after — red, amber, green treatment tiers.
Hard-rule drafts
SERP-feature formatting, verbatim E-E-A-T, server-side JSON-LD fallback, 1,100-1,500 words in one pass.
Feature checklist
- Outline outputs 15 structured fields including four E-E-A-T dimensions (experience, expertise, authoritativeness, trust)
- Cannibalization pre-flight weights title ×3, slug ×2, excerpt ×1 against existing pages, injecting the top 3
- Drafts target SERP features with hard formatting rules: featured snippet, PAA, comparison tables, HowTo
- Missing JSON-LD is synthesized server-side across 5 schema types
- GSC monitor: winner click-share <40% suggests 301, 40-69% de-optimize, ≥70% watch
- Every generation carries a provenance badge: model, tokens, latency
- On static-architecture sites, a confirmed publish auto-triggers build and deployment — drafts never burn a build
- Review and edit articles in a console modal without leaving for the back office; deletes go to a recoverable trash, and saves write only the fields that actually changed
Want to see this module run?
Book a demo and we'll run this module on real data.