Short answer: local entity resolution is an information governance workflow. You start with a location registry, choose canonical sources, fix first-party conflicts, align structured data and important external profiles, then monitor drift. Google documents LocalBusiness and Organization structured data, but the markup must reflect the reality of the page and does not replace internal ownership.

Prerequisites

You need a clear list of active and historical locations. For each, write down the public name, address, phone, schedule, services, coverage area, canonical URL, status, and owner.

If the company works only in the service area and has no public headquarters, it models this reality explicitly. Don't force a public address just for template consistency.

Stage 1: canonical registry

Build an internal file or system with the publishable attributes. Includes aliases and historical names separately from active values.

Each field has owner and last_verified. This is the basis for QA, not an automatic public feed.

Stage 2: first-party inventory

Check homepage, Contact, locations, services, footer, policy pages, structured data and possible local landing pages.

Mark consistent',conflict', stale',missing', `not applicable'.

Stage 3: severity

P0: Bad address or program that can send the user to the wrong place. P1: wrong services or category. P2: stable secondary external profiles. P3: cosmetic variations.

This rubric prevents the team from treating all differences the same.

Step 4: fix first-party

Close controllable conflicts before external outreach. The canonical page must have correct data and the footer/global components must not contradict locations.

If multiple pages have the same information, it consolidates ownership.

Stage 5: structured data alignment

LocalBusiness markup must reflect the visible information and the actual type of business. Organization markup describes the broader organization, not each location artificially.

Don't fill in properties you can't verify.

Stage 6: external critical profiles

Choose the platforms that matter for the buyer journey or appear in Search/AI outputs. For each note the access, owner, status and differences from the registry.

Update controllable profiles and keep `external unresolved' for those you cannot correct.

Stage 7: redirects and historical domains

After relocations or rebrands, check old pages and domains. Redirects must lead to relevant destinations, and old pages must not look like live locations.

Stage 8: reviews and locations

Ensures that reviews and associated profiles correspond to the correct location. It does not automatically move reputation from one location to another.

User experiences are distinct from operational data.

Stage 9: Pre-publication QA

Before a new or updated local page, check:

  • name;
  • address/service area;
  • telephone;
  • schedule;
  • services;
  • canonical;
  • structured data;
  • internal links;
  • source owner;
  • duplicate local pages.

Step 10: Incremental publishing

Don't publish dozens of local pages just for city names. Each URL must have information gain: service differences, conditions, team, program, access or real local information.

Stage 11: monitoring

After publishing, rerun conflict scan and a query set for local data. It measures factual accuracy and consistency, not just mentions.

Acceptance criteria

Workflow is supported when:

  1. all active locations have a registry;
  2. first-party material conflicts are zero or have an owner;
  3. LocalBusiness markup reflects the page;
  4. critical external profiles are mapped;
  5. historical redirects are correct;
  6. local pages have information gain;
  7. owners and last_verified are documented;
  8. QA can be rerun;
  9. findings have a closing criterion;
  10. external outputs are monitored separately.

Rollback and limitations

If a new local page duplicates an existing owner, retire or consolidate the page. If the markup introduces unconfirmed information, revert to the simple and correct version.

If an external profile cannot be updated, do not modify the first-party to mimic it.

Operating cadence

Weekly for deliberate changes, monthly for critical profiles, quarterly for registry and aliases. After relocation or rebrand, trigger full audit.

How do you measure success?

First-party conflict rate, critical-profile consistency, time-to-resolution and location owner coverage are the main metrics. Search and AI citations can be observed separately.

How do you deal with closed or moved locations

It doesn't simply erase all traces of an old location. Keep redirects and enough context for continuity, but make sure the page no longer suggests the site is active. In the registry, mark the status and date of closing or moving.

For external profiles, update or close listings you control. If a directory holds old data, classify it separately and keep first-party clear.

How to prevent post-implementation drift

Link entity resolution to operational events: schedule change, phone number, address, services or brand. An update trigger at the time of change is more effective than an audit that discovers the problem months later.

How do you check that the workflow remains operable

After the first month, it samples the changes that have passed through the registry and checks that the owners have updated all relevant surfaces. If the same conflict category reappears, fix the update process, not just the affected page.

Claim ledger

  • FACT/EVIDENCE: Google documents LocalBusiness and Organization structured data.
  • FACT/EVIDENCE: structured data must correspond to real content.
  • PRACTITIONER GUIDANCE: registry + ownership + severity make entity resolution workable.
  • NOT PROVEN: that entity resolution directly produces ranking or AI citations.

Conclusion

Entity resolution for local services is data discipline, not schema trick. When each location has a consistent public truth, owner, and review process, Search and AI get a clearer foundation, and the team can fix drift before it becomes a problem for the customer.

Sources reviewed

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