ai-search-researchlisted

# AI Search Research Produce Research Pack `1.1.0` and a hash-bound `query-corpus.json` before any human summary. Research Pack `1.1.0` SHA-256-pins evidence, competitor observations, and ground-truth provenance; legacy `1.0.0` remains readable. Treat the Research Pack as authoritative for evidence and ground truth; treat the Query Corpus as authoritative for user needs, prompts, observed queries, executed subqueries, demand provenance, and page coverage. ## Procedure 1. Define scope, native locales, entities, ambiguities, audiences, journey stages, engines, and distinct surfaces. Cover every declared locale with native query objects; never force an undeclared locale. Select audiences from the request scope; do not force unrelated audiences. Keep Google AI Overview and AI Mode separate. 2. Read [evidence-policy.md](references/evidence-policy.md). Record every externally testable claim as one evidence record with one resolving `raw_evidence_ref` and matching `raw_evidence_sha256`; do not merge claims or omit explicit scope. 3. Read [capture-protocol.md](references/capture-protocol.md). Preserve raw observations inside the artifact bundle and use only bundle-relative references. 4. Write each Research Pack query for every declared locale as an independent native object with locale, intent, request-derived audience, journey stage, target entities, and engine/surface applicability. Use native orthography and script. Reject ASCII transliteration presented as native when the loc