Short answer: replication should test whether the same linking rule reduces wrong-location, wrong-service and redirect debt in multiple markets or categories, not whether "authority" increases. Google recommends crawlable HTML links and contextual anchor text, but does not publish a universal topical-authority score.

Replication hypothesis

Applying the same guardrails of service availability, location lifecycle and contextual relevance will reduce the wrong-target rate in several local cohorts.

Initial cohort

It saves the exact protocol: page roles, graph snapshot, rule version, location model and lifecycle policy.

Close replication cohort

Choose a region or category with a similar structure: number of locations, comparable services and volumes.

Different contextual cohort

Then choose a market with service-area model or multi-location structure to test transferability.

Baselines

For each cohort save:

  • source URLs;
  • target URLs;
  • link types;
  • service-location mapping;
  • lifecycle status;
  • wrong-target rate;
  • redirect link rate;
  • orphan rates;
  • path completion.

The intervention

The same rule applies:

  1. service availability guard;
  2. location lifecycle guard;
  3. market/local guard;
  4. target canonicalization;
  5. contextual relevance rubric;
  6. module reason codes.

Comparison group

You can keep a category comparable to the existing rule if it does not contain critical flaws.

Observation window

Graph metrics can be evaluated immediately. Behavioral data needs comparable volumes and windows.

Search outcomes remain separate.

Metric 1: wrong-location rate

Links to a location other than the relevant one from the total evaluated links.

Metric 2: service-availability mismatch

Links to services unavailable in that location or area.

Internal links that go through unnecessary redirects.

Metric 4: orphan rate

Eligible pages without incoming contextual links.

Metric 5: path completion

Tasks such as article → service → location → booking can be completed without a dead end.

Confounders

  • relocations;
  • service launches;
  • program changes;
  • navigation redesign;
  • campaigns;
  • local rollout;
  • CMS migration;
  • Search updates.

Stop criteria

Stop if:

  • location model changes materially;
  • the cohorts are no longer comparable;
  • a global rule contaminates the control;
  • service availability changes massively;
  • a P0 booking path must be repaired immediately.

How do you treat service-area businesses

Do not force location pages. Replication must preserve the actual operational model.

How do you deal with relocations

Keep effective data and reason code. A redirect may be correct, but upstream links still need to be updated.

How do you treat pages with low traffic

Graph metrics remain valid. Insufficient behavioral data'' is notno effect''.

How do you handle automatic modules

If the rule produces the same error in many pages, the finding belongs to the engine. Replication tests the rule version, not each URL manually.

How do you treat anchors

Does not standardize exact-match text. Test if the anchor naturally describes the destination and the task.

How do you interpret the positive result

If wrong-target and redirect debt decrease in multiple cohorts, the rule is operationally reproducible.

How do you interpret the null result

If Search visibility does not change, but graph quality increases, the study may be successful.

How do you interpret divergence

If a market does not respond, analyze location model, lifecycle complexity and rule fit.

How do you treat maintenance cost

Measure how many manual overrides are required. A rule that reduces errors but requires continuous intervention may not be sustainable.

Further replication

Repeat on another service family or market before global standardization.

Acceptance criteria

The study is valid when:

  1. the initial protocol is versioned;
  2. cohorts are documented;
  3. the same intervention is applied;
  4. graph snapshots are kept;
  5. the denominators are clear;
  6. observation windows are established;
  7. stop criteria exists;
  8. confounders are logged;
  9. rollback is possible;
  10. external outcomes are separate.

How do you handle schedule changes and availability

A link may remain technically valid, but the next step may become incorrect if the schedule or availability of the service has changed. Include owner data and lifecycle event in interpretation, especially when replicating the rule in regions with different operations.

How do you treat locations with very different structure

An urban clinic with many services and a rural business service area can have fundamentally different graphs. Do not force direct replication. Classifies the study as contextual replication and maintains the same quality principles, not the same raw counts.

How do you handle the fallbacks of automatic modules

When the engine does not find a valid target, the fallback must be predictable and not introduce wrong-market or wrong-service links. Test no-match cases separately.

Keep global navigation separate from contextual body links. A page can look very connected thanks to the footer, but have no relevant editorial trail.

How do you treat external directories

Do not use local directories as the source of truth for service availability. If they are stale, keep external finding and measure internal graph by first-party registry.

How do you handle replication after relocation

After moving a location, rerun cohort matching and graph snapshot. A new relationship may invalidate comparability with the previous period.

Maturity criterion

The rule can be standardized when it reduces wrong-target errors in multiple location models and does not require permanent manual exceptions.

Claim ledger

  • FACT/EVIDENCE: Google recommends crawlable HTML links and contextual anchor text.
  • PRACTITIONER GUIDANCE: local-service linking replication must measure location truth, lifecycle and path quality.
  • INFERENCE: Reproducible guardrails can reduce wrong-target errors and rework.
  • NOT PROVEN: a universal topical-authority score or direct effect on AI citations.

Conclusion

A good replication study demonstrates that the linking rule works in multiple local contexts and remains operable. Search lift can be seen, but the primary proof is a graph with fewer errors and more correct paths.

Sources reviewed

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