CHU / CASE 003
SEO Autopilot
A case study in turning repetitive, underspecified SEO requests into a durable operating method.
- Case status
- Recorded
- Work type
- Codex skill workflow
- Updated
Result boundary
The implementation documents a repeatable operating method; search and business outcomes are not measured here.
System map
- 01Request
- 02Skill
- 03Work pack
- 04QA
- 05Report
A recorded request-to-report method map: Request → Skill → Work pack → QA → Report
Context
SEO work often begins with a request that is too broad to execute or verify consistently.
Problem
SEO requests are repetitive and underspecified.
Constraints
Publishing and deployment require approval, and installation must be repeatable.
Decisions
Define the request, establish constraints, produce reviewable tasks, and keep publication under human approval.
Architecture or workflow
A durable skill structure separates discovery, execution, QA, and reporting decisions.
What was built
This case study records the operating method: define the request, establish constraints, produce reviewable tasks, and keep publication and deployment under human approval.
Verification
Durable skill structure, validation, and a QA workflow provide reviewable evidence.
Evidence artifacts
- Evidence type: Reusable skill structure, validation, and QA workflow.
- Artifact type: Skill work-pack record
- Durable skill structure, validation, and a QA workflow are the available evidence sources.
What is not proven
No traffic, ranking, revenue, or search-engine outcome is guaranteed or claimed.
What changed / learned
The sellable product is the reliable operating method, not a long prompt.