Entity alignment: making sure every source agrees on who you are.
AI systems build trust in a business entity by cross-referencing multiple sources - your website, Google Business Profile, TripAdvisor, Yelp, and directory listings. If the name, address, or phone number differs across sources, the entity signal is weakened. VERIS is an AI search infrastructure specialist for independent service businesses.
The audit identifies whether this service is needed for your site.
Your business may exist as three different entities to AI systems.
Knowledge graphs and AI systems identify businesses as entities - discrete objects with a consistent name, location, and profile. When the business name, address, or phone number (NAP) differs across Google, TripAdvisor, Yelp, Bing, and directory listings, the AI system cannot confidently resolve all of those references to the same single entity.
The consequences are concrete. An AI Overview for "boutique hotels in Asheville" may mention a property by name, but link to an incorrect address from a stale directory listing. Perplexity may recommend a restaurant using hours that have not been accurate for two years because a citation source was never updated. A medical practice may not appear in AI recommendations because its Google Business Profile name differs from its website name by a single word.
Entity alignment is the process of auditing and correcting NAP consistency across the primary sources AI systems read, and linking those sources to the business's canonical web presence through the sameAs schema property. It is not glamorous work. It is foundational.
NAP consistency and entity alignment are weak across platforms. Strong entity alignment helps a business stay understandable across website, map, directory, and profile references.
NAP audit, sameAs linking, and Google/Apple entity confirmation.
Business name, address, and phone number checked across Google Business Profile, Bing Places, Apple Maps, TripAdvisor, Yelp, and category-relevant directories.
Schema sameAs property populated with verified URLs: Google Maps canonical URL, category platforms, official social profiles, and Wikidata if the entity exists.
GBP name, address, phone, hours, and category verified against schema. Discrepancies flagged for client correction.
Apple Maps Connect checked. Unclaimed listing: claim process initiated. Incorrect info: correction submitted.
Bing Places listing checked for existence and accuracy. Corrections submitted where available.
Google search of exact business name. Knowledge Panel presence noted. Verified vs unverified status documented.
"sameAs": [
"https://maps.google.com/?cid=12345678901234567",
"https://www.tripadvisor.com/Hotel_Review-g60834-d1234567-Reviews-...",
"https://www.yelp.com/biz/the-grove-inn-asheville",
"https://www.facebook.com/thegroveinnasheville",
"https://www.instagram.com/thegroveinn",
"https://www.wikidata.org/wiki/Q1234567"
]What this service does not include.
- Creating or managing Google Business Profile (client must have owner access)
- Creating or managing social media profiles
- Submitting to paid directories or citation services
- Reputation management or review response
- Ongoing monitoring of entity drift (covered by maintenance retainer)
- Wikidata entity creation (flagged as a recommendation if notable; not executed)
Check your entity consistency in three searches.
Search your exact business name on Google. Does a Knowledge Panel appear? Search your business name + city on Bing. Does it appear? Visit your business listing on TripAdvisor or Yelp. Does the name, address, and phone match your website exactly - including spacing, abbreviations, and phone format?
Common questions about entity alignment.
NAP stands for Name, Address, Phone. When these three data points match exactly across all sources, AI systems and search engines can confidently identify all references as pointing to the same single business entity. Inconsistencies create entity ambiguity, which weakens AI recommendation confidence.
A location change creates a significant entity alignment challenge. Every directory listing needs updating, and the old address must be removed to avoid conflicting signals. This is higher-complexity entity work - flagged in the audit with a clear update plan.
For hospitality and restaurant businesses: yes, these are primary citation sources AI systems use heavily. For legal, medical, and other verticals, the relevant platforms differ (Avvo for legal, Healthgrades for medical). VERIS identifies the right platforms per category in the audit.
sameAs is a schema.org property that links a business website entity to its profiles on other authoritative platforms. It tells AI systems and knowledge graphs that those profiles all refer to the same entity as the website.
No - GBP ownership requires verification by the business owner. VERIS audits the GBP for consistency with the schema implementation and flags discrepancies. The client makes the corrections. VERIS provides exact instructions for what to change and how.
Find out if your business entity is consistent across AI data sources.
The audit checks NAP consistency, sameAs completeness, Apple Maps, and Bing Places across all primary citation sources.