/dm:entity-audit

Purpose

Audit brand entity data consistency across the platforms that AI engines use as knowledge sources. Check Wikidata entries, Google Knowledge Panel accuracy, Wikipedia presence and notability, and industry directory listings for consistency. Inconsistent entity data degrades AI engine trust and visibility — when knowledge sources disagree about basic facts like the official website, founding date, headquarters location, or industry classification, AI engines either omit the brand entirely or present conflicting information. This command provides a systematic, platform-by-platform audit with specific discrepancies flagged and a prioritized fix plan ordered by impact on AI visibility.

Input Required

The user must provide (or will be prompted for):

• Brand/entity name: The exact name of the brand, organization, person, or product to audit — must match the entity as it should appear in knowledge sources. If the brand has known aliases or former names, include those for cross-referencing
• Entity type: Organization, Person, Product, or Brand — determines which properties are checked and which directory types are relevant. Organizations check founding date, headquarters, industry; Products check manufacturer, launch date, category; Persons check role, affiliation, notable works
• Key properties to verify: Official website URL, founding date, headquarters location, social media profiles (LinkedIn, Twitter/X, Facebook, Instagram), industry classification, key people (CEO, founders), parent organization, number of employees, and any entity-specific properties the user considers critical. Properties from the brand profile are used as the source of truth
• Directories to check (optional): Industry-specific directories (e.g., G2, Capterra, Clutch for SaaS; Yelp, TripAdvisor for hospitality), professional associations, and business registries relevant to the brand's industry. If not provided, the command will suggest directories based on the brand's industry classification from the profile

Process

1. Load brand context: Read ~/.claude-marketing/brands/_active-brand.json for the active slug, then load ~/.claude-marketing/brands/{slug}/profile.json. Extract the authoritative values for all entity properties — official name, website, founding date, headquarters, social profiles, industry, key people, and description. These become the source of truth against which all platforms are compared. Also check for guidelines at ~/.claude-marketing/brands/{slug}/guidelines/_manifest.json. If no brand exists, ask: "Set up a brand first (/dm:brand-setup)?" — or proceed with user-provided values.
2. Check Wikidata: Search for the entity on Wikidata by name and aliases. If found, verify each property — official website (P856), social media profiles (P2002, P2003, P2013, P4264), founding date (P571), headquarters (P159), industry (P452), key people (P169, P112), instance of (P31), and description. Record each property as matching, mismatched (with both values), outdated, or missing. If no Wikidata entry exists, record as absent and assess whether the entity meets notability criteria for creation.