Short answer: entity resolution in local services means being able to demonstrate that your website, local profiles and important external sources describe the same business and location. You don't need an abstract score. You need consistent name, address, phone, schedule, services, URLs, and relationships. Google documents LocalBusiness and Organization structured data, but does not publish an "entity strength score" for local businesses.
Failure mode 1: one location, multiple identities
The brand uses a name on the website, an abbreviation in a directory and the old name on a social profile. Variation can be legitimate, but there must be a canonical form and a rule for aliases.
If the user can't tell if the profiles describe the same company, you have a real entity resolution problem.
Failure mode 2: active historical addresses
After the move, the old site remains on first-party pages, directories and articles. Engines can encounter two seemingly valid locations.
Keep a list of historical addresses and the status of each. Don't blindly delete the evidence of continuity, but don't let the old address appear active.
Failure mode 3: global phone versus local phone
A central call center may be legitimate, but some profiles may have local numbers. Document the rule. Don't label the difference as an error if it is intentional and consistent.
Failure mode 4: contradictory program
Website, Google Business Profile and a directory can have different programs. This conflict can directly affect the user's decision.
The program needs an owner and seasonal update process.
Failure mode 5: Services differ between locations
Two offices of the same brand may offer different services. Don't copy the same list everywhere. Entity resolution does not mean artificial uniformity.
Failure mode 6: duplicate local pages
If every city has the same page with the name changed, the relationship between the entity and the service remains editorially weak. The locality justifies a separate page when there is real information gain.
Failure mode 7: the markup describes another reality
LocalBusiness structured data must reflect the actual page and organization. If the schema declares an address, phone, or name that doesn't appear or is no longer valid, you have an inconsistency.
Failure mode 8: brand versus franchise
In networks or franchises, the location may have a local operator and co-brand. Do not confuse legal entity, brand and location. Decide what needs to be publicly displayed and how it relates.
Failure mode 9: multiple domains
The company can have an old domain, a new one and campaign landing pages. Redirects and canonicals must clarify the main domain.
Failure mode 10: uncontrolled external profiles
Some directories cannot be updated easily. It marks ownership and severity. Do not rewrite the website to imitate a wrong external source.
Failure mode 11: reviews assigned to the wrong location
A review may belong to another location or to a period before relocation. It separates reputation from location identity.
Failure mode 12: a tool turns all differences into "scores"
A proprietary score can be useful internally, but requires the formula. Don't present it as a Google or AI metric if the platform doesn't document it.
Reproducible decision tree
- Does the location have a canonical name?
- Is there a primary first-party URL for the location?
- Is the address current?
- Does the phone follow a documented rule?
- Is the program consistent?
- Are the services correct for the location?
- Does LocalBusiness markup reflect the page?
- Are the brand and the local operator properly differentiated?
- Do critical external profiles use compatible data?
- Are historical addresses and names marked as inactive?
- Are reviews assigned correctly?
- Are cosmetic differences separate from material conflicts?
If 2-7 have negative answers, fix first-party before any AI visibility optimization.
How do you build the registry
For each location keep canonical_name, address, phone_rule, hours, services, canonical_url, brand, operator, status, last_verified.
Add aliases and historical addresses separately, do not replace active values.
Severity
P0: information that can produce a wrong decision, eg wrong address or program. P1: wrong category or important service. P2': external differences with limited impact.P3`: cosmetic variations.
This rubric makes the audit actionable.
How do you validate the fix
Finding doesn't close when you've sent an email or made a commit. Closes when the relevant surface is rechecked and the correct value is observable.
For external sources you do not control, use `external unresolved'.
What measurements
Track first-party conflict rate, external critical-profile consistency, time-to-resolution, and number of ownerless locations. These are operational metrics, not ranking scores.
Search and AI outputs can be monitored separately through factual accuracy, source citations and naming consistency.
Stop condition
The audit can be closed when first-party material conflicts are resolved, critical external profiles have clear status, and active locations have ownership and registry. Don't keep looking for marginal mentions just to boost a score.
How do you treat brands with mobile headquarters or service areas
Some local services do not work from a traditional public address. Mobile teams, installers or home services may have larger coverage areas than the premises. Do not force the data model of a physical location if the operational reality is different.
The registry must distinguish public location',service area' and `administrative address'. External profiles may only expose part of this information, and the difference is not automatically a conflict. First classify the role of each value.
How to prevent conflicts from reoccurring
Link local data updates to real events: move, seasonal schedule, phone change, service expansion. An operational release checklist is more effective than an annual audit that discovers months later that information has remained stale.
Claim ledger
- FACT/EVIDENCE: Google documents LocalBusiness and Organization structured data for distinct entities.
- PRACTITIONER GUIDANCE: local entity resolution is measured by consistency and verifiable conflicts.
- INFERENCE: reducing conflicts can reduce ambiguity for automatic systems.
- NOT PROVEN: a universal entity score used by Search or AI systems.
Conclusion
Local entity resolution is an audit of public reality. If your name, address, program, services and relationships are clear, you have a solid foundation for Search, AEO and GEO. If they aren't, a sophisticated score just hides the problem.
Sources reviewed
- Google Search Central, LocalBusiness structured data: https://developers.google.com/search/docs/appearance/structured-data/local-business
- Google Search Central, Organization structured data: https://developers.google.com/search/docs/appearance/structured-data/organization
- Google Search Central, canonicalization: https://developers.google.com/search/docs/crawling-indexing/consolidate-duplicate-urls
