Reads: ../improve-search-visibility/references/entity-and-local.md; the canonical facts from the brain (name, one-liner, category, founding facts, domain, pricing, locations); brand-question accuracy errors from the citation check and the sources they traced to.
Does:
- Confirm the canonical facts with the human if the brain lacks any (never guess founding year, HQ, NAP).
- Pick the five profiles that matter for this type (always include any profile an engine cited for a wrong fact). Read each public page with the host's fetch where allowed (never G2, Capterra, Trustpilot or Amazon — they forbid automated collection; blocked or no fetch → ask for a screenshot, else "not checked"); mark complete / inconsistent / missing / unclaimed and list mismatches.
- Local: per location (worst 2–3 first on a large chain) the Business Profile fields, NAP across directories, review count, average, recency and reply rate.
- Write each correction as exact field values plus how to edit (claim steps, vendor portal, suggest-an-edit). Review gaps → a review-request brief addressed to email-lifecycle. No reply drafts: replying to reviews is not covered yet (say so plainly).
Writes: the entity table and candidate fixes. Never: drafts a Wikipedia article; adds an unsourced Wikidata item; suggests fake or gated reviews or incentives tied to a positive rating (a platform's own disclosed programme is fine); adds keywords to a Business Profile name.