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Sample free benchmark
Inspect the selected answer sample, appearance or miss, competitor/source notes, and the decision it supports.
View sample benchmarkWhat the evidence can support
Inspect the artifact and source before weighing background claims
The sample audit report and current process page demonstrate format and decision boundaries, not client outcomes. The source register below states what each source can and cannot prove.
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Sample audit report → evidence-backed correction process
Inspect the bounded audit format, then see how the free listing, permission boundary, findings, and optional corrections fit together.
Current process
Evidence-backed correction path
See the free listing step, the permission boundary for the audit, and why paid corrections are offered only when findings support them.
Review the current processSource types and limits
Public source register
Each item below states what the source can support and what it cannot. Samples stay separate from client evidence, owned background stays separate from independent appearances, and no item is presented as proof of rankings, leads, revenue, or future recommendations.
Free AI Referral Visibility Benchmark
Supports: The public intake format, one-business/one-market scope, required details, review step, and stated benchmark limits.
Does not support: Fulfillment quality, platform-wide coverage, privacy operations, rankings, leads, revenue, or future recommendations.
Open benchmark scopeSample AI Referral Visibility Benchmark
Supports: The presentation format and the stop, watch, or deeper-review decision structure.
Does not support: A client result, measured business outcome, delivery record, or representative performance claim.
Open sample benchmarkCurrent AI referral process
Supports: The listing-first sequence, permission boundary, documented audit findings, and evidence-backed correction rule.
Does not support: A customer outcome, guaranteed recommendation, ranking, lead, revenue, or representative performance claim.
Open current processMatt LaClear public media hub
Supports: Owned public background and links made available for diligence.
Does not support: Independent validation of Local AI Referrals methods, client outcomes, rankings, leads, revenue, or coverage.
Open public media hubAI Referral Readiness for Local-Service Businesses
Supports: The listed book title, author, format, and retailer destination.
Does not support: Sales, reviews, client outcomes, benchmark efficacy, rankings, leads, or recommendations.
Open book listingDigitalMarketer Podcast, Episode 26
Supports: A dated 2018 appearance and the episode topic stated by the independent publisher.
Does not support: Current Local AI Referrals outcomes, years of experience, campaign counts, endorsements, rankings, leads, or revenue.
Open independent podcast pageNamed responsibility, limited claim
Matt leads benchmark interpretation; the team supports implementation and QA
Matt LaClear's public background is diligence material for judgment and role clarity. It is not proof of rankings, AI recommendations, leads, revenue, timing, platform coverage, or client outcomes.
Use the evidence to decide whether a benchmark is worth requesting.
Inspect the artifact, source boundaries, and named responsibility first. Then request the free benchmark only if the next decision is useful.
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