Why entity consistency is the load-bearing fix
Every engine answering questions about your business performs implicit entity resolution: is this GBP profile, this LinkedIn page, this directory entry and this website the same organization? When the answer is confidently yes, all your evidence compounds into one strong entity. When sources disagree — an old address here, a rebranded name there, three duplicate listings elsewhere — the engine’s confidence fragments, and fragmented entities get hedged or omitted in synthesized answers. This is the single most common root cause we find in GEO audits for businesses that are doing everything else right.
Step 1: Inventory every mention
Build the spreadsheet before fixing anything. Search your brand name, old brand names, common misspellings, and phone numbers across: Google and Bing results (three pages deep), GBP and Bing Places, the major directories and data aggregators, vertical platforms for your industry, social profiles, review platforms, and — for bilingual businesses — Chinese-language directories and platforms. Log for each: name form, address, phone, URL, description, last-updated if visible. Expect surprises; acquired brands, moved offices and departed employees leave ghosts everywhere.
Step 2: Decide the canonical facts
One canonical name (including punctuation), one address format, one phone number, one canonical domain, one boilerplate description of roughly fifty words, one founding date, one list of social profiles. Write it down as the entity record — the single source of truth every platform will be reconciled to. For bilingual entities, this record includes the Chinese name form carried via alternateName; see the bilingual entity playbook.
Step 3: Reconcile in priority order
- Your own properties first: website (footer, contact page, schema), then GBP and Bing Places.
- Data aggregators next — they feed dozens of downstream directories; fixing the source beats fixing each copy.
- Vertical and social platforms.
- Duplicates: merge or suppress duplicate GBP listings and directory entries; duplicates split review equity and entity confidence.
Step 4: Lock it in schema
Organization or LocalBusiness markup on your site carrying the canonical record: name, alternateName, address, telephone, url, foundingDate, and sameAs listing every profile you just reconciled. The markup is how you tell engines explicitly what the cross-checking should conclude. Patterns: structured data for AI and entities and the knowledge graph.
What about Wikipedia and Wikidata?
If your organization legitimately meets notability thresholds, a Wikipedia entry and complete Wikidata record are among the strongest entity anchors that exist — engines lean on both heavily for who-is-X questions. If you do not meet the threshold, do not force it: self-created articles get deleted and leave a visible rejection trail. The honest middle path is strengthening everything you control (schema, profiles, press coverage) so that notability, if it comes, arrives with the sources already consistent.
Step 5: Verify in the answers
Four to six weeks after reconciliation, run your brand questions across engines: what is X, where is X located, is X legitimate. Wrong facts persist longest in answers synthesized from stale sources; note each error, trace it to the uncorrected source, fix that source. Add the brand-question set to your monthly four-dimension measurement so entity drift gets caught early — entities decay as platforms auto-generate new profiles over time.
The audit takes days; the compounding takes quarters. But every subsequent GEO investment — content, reviews, PR — lands on the entity you built here, so this is where the leverage is.