AI Answer Sample Size Disclosure Guide

Use this asset when

This Revneey golden-template asset improves review/comparison quality before the pattern is migrated into the 11-site matrix.

Classify the evidence behind every sample-based claim: product tests, internal reviews, customer ratings, survey responses, support tickets, refund data, forum comments, merchant testimonials, or third-party benchmarks.
Store sample size, source URL, source date, capture date, collection period, inclusion/exclusion criteria, segment bias, affected surface, current wording, required qualifier, owner, severity, and next review date.
Do not let AI summaries convert small or skewed samples into broad recommendations, best-for statements, top-rated claims, or confidence language without visible caveats.
Keep Revneey as the baseline before adapting to beauty review counts, apparel fit samples, furniture delivery complaints, cookware durability tests, hotel guest excerpts, sustainability surveys, and broad top10 ranking modules.

Operator output

Dated evidence, source, summary, citation, confidence, and owner fields.
Keep, qualify, rewrite, remove, monitor, replace source, expire, escalate, or migrate-safe decision.
Disclosure, snippet, schema, FAQ, CTA, AI-answer, sample-size note, warranty caveat, and refresh-cadence notes.

Matrix guardrail

Keep this pattern on Revneey first. Migrate only after vertical keyword boundaries are confirmed, and do not overwrite keyofvenus or cosyhomer slim directories.

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