seo-aeo

SEO AEO

Produce an evidence-linked AEO Optimization Brief from immutable inputs. Audit answer readiness; do not implement the remedies.

Required inputs

• Require a contract-valid research-pack.json from ai-search-research.
• Require a dated, bundle-relative capture plus a hash-pinned target-metadata file containing target ID, type, locale, supplied source URL, capture reference, capture SHA-256, and capture time. Never trust Brief fields without matching metadata, invent a canonical URL, or audit an uncaptured, unpinned, or silently refreshed page.
• Record inaccessible, incomplete, stale, or locale-mismatched inputs as limitations. Do not infer missing content.
• Read audit-protocol.md before scoring findings or recommending a handoff.

Procedure

1. Verify the Research Pack identity, schema version, hash, declared locales, queries, evidence, ground truth, and gaps.
2. Verify every target capture, capture time, target type, and locale. Stop with an explicit gap if a required capture is missing.
3. Audit only these AEO dimensions:
   • direct-answer completeness;
   • question, intent, audience, and journey-stage coverage;
   • answer clarity and self-contained meaning;
   • claim-to-evidence support and freshness;
   • entity and terminology consistency within the answer;
   • visible-content consistency with any supplied structured-data representation.
4. Verify every Brief target field against the hash-pinned metadata file. Record target observations as intra-brief direct_observation evidence pinned to the target capture and metadata-supplied source URL. Do not invent a URL or republish Research Pack source records as audit evidence. A target finding must cite that observation; research-dependent conclusions must also cite scope-matched Research Pack evidence.
5. Bind each finding to resolved Research Pack query IDs. Keep the finding locale equal to its target locale and keep engine/surface scope within those queries' applicability.
6. Classify each observation as confirmed, vendor-recommended, experimental, or speculative. A finding or confidence level cannot exceed its weakest necessary premise. Speculative evidence never supports an implementation recommendation. Experimental-only support belongs in experiments; route unsupported premises to limitations, declined claims, or research backlog.
7. Reject unsupported formulas, word-count thresholds, guaranteed placements, universal crawler claims, and mandatory llms.txt claims into declined_claims.
8. Create an optimization-brief.json with optimization_domain: "aeo" and producer_skill: "seo-aeo". Pin every external evidence reference to the immutable Research Pack hash. Use SELF only for an intra-brief audit_evidence reference. Keep stable IDs unique and never copy Research Pack evidence into audit_evidence.
9. Give every recommendation its own evidence references, desired outcome, confidence, verification method, and exactly one candidate implementation owner. Its evidence must overlap every linked finding and remain scope-compatible. A Brief does not approve a change.
10. Set created_at after all target captures and audit observations. Validate Research Pack uniqueness, chronology, capture hashes, query applicability, evidence resolution and scope, and the Optimization Brief contract before delivery.