Make important business facts explicit to machines and people.
The workflow checks whether visible content, metadata and structured data agree. Schema is used only where the visible page supports it.
How the workflow works
The scope stays bounded from observation through remeasurement.
- Audit headings, contact and organisation facts.
- Compare visible copy with structured data.
- Remove unsupported or conflicting markup.
- Retest public rendering and machine-readable output.
What the customer receives
Every output remains attributable to its source and period.
- Structured-data register
- Visible-content consistency review
- Corrected markup proposals
- Validation evidence
Human-review boundary
Configured tools can support collection, comparison and drafting; controlled launch may use disclosed human assistance. Material facts, external publication and insufficiently evidenced changes remain human decisions.
- Confirm evidence before it informs diagnosis.
- Approve an exact version, not a moving draft.
- Revoke access or sharing when the authority ends.
Measurement limit
Structured data does not force inclusion, ranking, citation or recommendation.
- Small prompt sets are directional.
- AI answers can vary between runs.
- No ranking, recommendation or revenue guarantee.
What to know before you begin
What is fixed for comparison?
The prompt wording, target scope, measurement date, provider/model context and classification method are recorded. Material scope changes create a new version.
How is routine work delivered?
Configured tools can support scheduled collection, evidence matching, drafting and comparable remeasurement within configured permissions. Controlled launch may use disclosed human assistance, and sensitive changes retain human approval.
Does a better result prove the intervention caused it?
No. A measured difference is recorded with its limitations and does not automatically establish causation.