AI SEO Projects ·Entity Authority
Multilingual entity parity audit
Last reviewed:
- Owner
- Entity owner, with per-market leads
- Metric
- Per-market entity accuracy and staleness score, ranked by risk
- Clock
- Model layer —the two clocks
AI can describe the same brand with different attributes in different languages, so authority is not solved once but per market. This audit finds where the entity is accurate, stale, or colliding — market by market — and ranks markets by entity risk so the localization budget goes where it pays. This is entity localization, not translation.
Why this, mechanically. Wikidata labels, descriptions, and sameAs links maintained per market are what keep a model from carrying last generation’s facts in one language while another edition is current. Without a per-language accuracy check, drift is invisible until an assistant is already misdescribing the brand to a whole market.
Deliverable. Assistant queries with brand and product prompts across the largest language-location markets; per-market scores for accuracy, staleness, and name collisions; and a market ranking by entity risk that directs the Wikidata and disambiguation work.
Finish line. Every priority market has a scored entity-risk rating, and the highest-risk markets have routed remediation.
Procedure for the market-facing content work this reveals: localize for multi-market AI.