GEO / AEO · evidence standards

When a GEO audit becomes a case study: evidence in industry, logistics and healthcare

A single AI recommendation of an industrial supplier, freight forwarder or clinic is not evidence of successful GEO work. A publishable case requires a reproducible baseline, verified interventions, comparable follow-up results and disclosure permission.

A baseline is a diagnostic finding. A result case study needs verified implementation, a comparable follow-up measurement and permission to publish.

Five evidence stages and the claims each supports

A business enquiry does not prove low visibility or completed work. I separate a client engagement into five stages, each with its own defensible public conclusion.

Describe the stage in ordinary language. A prospective customer should be able to tell whether an article documents an observation, a baseline audit, implementation or an actual repeat measurement.

  • Enquiry or brief: a business question is known, but no measured conclusion has been established.
  • Observation: a specific AI response and its reproducibility conditions have been saved.
  • Baseline: prompts, interfaces, dates, raw answers and classification rules are recorded.
  • Implementation: actual changes, dates and their acceptance are documented instead of proposed future actions.
  • Measured result: a comparable follow-up sample shows the numerator, denominator and attribution limits.

What belongs in a baseline measurement record

Start with unbranded commercial buyer prompts; keep branded tests separate. An answer mentioning a supplier is not necessarily recommending it, and a source citation is not equivalent to an unprompted recommendation.

Brand Mention Rate (BMR) is the share of received responses mentioning the brand under the fixed counting rule. Missing answers and failed calls must be documented separately; prompt count and response count are not interchangeable.

  • Time window, region, AI interface and access conditions.
  • Exact prompts, buyer intent and branded versus unbranded classification.
  • Full answer, cited sources and human review of mention, recommendation, link and factual error.
  • Received and missing responses, duplicate handling and disputed-mention rules.

Four conditions for comparable before-and-after evidence

A percentage can increase simply because fewer responses were returned. When the panel changes, I treat the new sample as a separate baseline unless the unchanged comparable subset can be demonstrated.

Even with matching prompts, an improved BMR does not establish that one article, structured-data change or media mention caused the increase. Keep an intervention timeline and report other possible influences. The public MethodLab case shows a comparable follow-up in technical IT services; it is not a client success claim for equipment manufacturing, freight or healthcare.

  • Freeze the core buyer prompts and record any added or excluded intents.
  • Use comparable AI interfaces and stable mention-versus-recommendation classification.
  • Report missing responses and panel-size changes separately.
  • Preserve implementation dates and qualify causal attribution.

Manufacturing: product compliance differs from GEO performance

Machinery buyers need a specific model, operating conditions, specifications, conformity documents and service options. Packaging buyers need material, intended use, print properties, batch size and supply conditions. These are supplier-qualification facts, not evidence that GAEO improved a brand’s AI recommendations.

TR CU 010/2011 concerns machinery and equipment; TR CU 005/2011 concerns packaging. Neither standard certifies an individual manufacturer or product simply by being cited. Product-specific applicability and records must be checked.

  • Record the technical intent and production constraints in each buyer question.
  • Distinguish supplier claims, product records and independently verifiable evidence.
  • Classify recommendations of a specific model separately from generic brand mentions.
  • Publish an outcome case only when implementation, follow-up and disclosure rights are verified.

International logistics: route, provider role and quote scope

A general claim to ship goods from Asia does not establish a workable route, cargo suitability, contractual responsibility or pricing scope. Distinguish the carrier, forwarder and intermediary before counting an AI response as a suitable recommendation.

The EAEU Customs Code establishes the regulatory framework. It cannot validate a specific provider’s responsibilities, lead times or successful completion of a shipping operation. GEO case evidence requires separate raw answers and follow-up results.

  • Define cargo, route, jurisdictions and transport constraints.
  • Check provider role, included costs, customs responsibility and liability.
  • Assess AI recommendations against the stated operational scenario.
  • Keep shipping service performance and AI recommendation change as different outcomes.

Private clinics: marketing verification is not clinical evaluation

A GEO review can assess the legal entity, branch, public service description, appointment path and source consistency. Clinical accuracy, diagnosis and treatment effectiveness require qualified healthcare review. Appearing in an AI answer is not a proxy for patient safety or quality of care.

The Roszdravnadzor licence register supports checking licensee details, premises and applicable activities. A link to the register homepage is not proof that a specific clinic is licensed. No patient histories or unsupported treatment claims belong in a public marketing case.

  • Test separate branch, specialty, service and booking intents.
  • Match relevant official licensing data and the clinic’s current public facts.
  • Obtain qualified review and an explicit publication-permission decision.
  • Report AI visibility and source accuracy, not patient outcomes.

The nine fields required before publishing a GEO case

I use a fixed editorial evidence record. It prevents preliminary audits from being described as results and makes the limits visible to clients and reviewers.

If full raw answers or disclosure permission are missing, publish a general method instead of a fictitious success story.

  • Study subject, sector and commercial buyer scenarios.
  • Measurement period, location, AI systems and sampling conditions.
  • Exact prompts, raw responses and access-controlled archive.
  • BMR definition and recommendation-classification policy.
  • Baseline numerator, denominator and excluded responses.
  • Verified actions implemented, with dates and acceptance.
  • Comparable follow-up or an explicit statement that none exists.
  • Sources, interpretive limits and healthcare review where applicable.
  • Permission to disclose names, figures and the approved level of anonymisation.

Permission to publish: six checks before a case study

A one-off audit, a private report or permission to discuss an engagement does not authorise publishing its results. Before release I identify exactly which facts could appear: client name, sector, location, prompts, raw responses, BMR numerator and denominator, completed work, follow-up measurements, images and quotations. Every public claim needs traceable evidence and an approved disclosure scope.

Contractual restrictions, commercially sensitive details and indirect re-identification matter even when the company name is omitted. An uncommon product, route or metric may identify the client. Medical projects require separate review of patient information and medical confidentiality. Until permission is confirmed, a general methodology can be published without specific client findings.

  • Link every proposed public claim to its primary record, verification date and evidence stage.
  • Verify actual implementation; compare BMR only across compatible prompts, AI interfaces and counting rules.
  • Record written approval from an authorised representative for the exact names, figures, images and degree of anonymisation.
  • Review nondisclosure terms, commercial secrets and rights to logos, screenshots and third-party quotations.
  • For clinics, assess the lawful basis for any patient, diagnosis or treatment detail and exclude it without proper authorisation.
  • Recheck the approved final RU/EN text, dates, links and figures after every material edit.

Use this standard when assessing a GEO provider

Ask for the underlying prompt matrix and denominator rather than only a growth percentage. For industrial and logistics suppliers, inspect how the consultant handles technical purchasing conditions. Healthcare projects need additional licensing, clinical accuracy and confidentiality checks.

GAEO starts with a baseline and ties recommendations to buyer decisions. Service packages, pricing and contractual BMR terms are defined on the canonical pricing pages rather than invented for each sector.

Related industry services and current GEO plans

Each service has its own buyer questions and applicable evidence. Explore the exact scope before estimating the engagement.

Methods, research and a comparable case example

GAEO keeps the measurement framework separate from evidence about clients in this sector. No completed client performance in this sector is asserted by this page.

Published GAEO pricing and contractual BMR terms

The baseline audit defines the sample for monthly reporting. Current plans, the calculator and the financial-guarantee conditions are provided on their canonical pricing pages. The guaranteed plan targets +5/+10/+15 percentage points of BMR against baseline after months 1/2/3, subject to contract.

Primary sources checked for this sector

These sources establish the general legal context. They do not certify any named business; statuses and transaction conditions must be verified individually at the time of use.

Frequently asked questions

Can a one-off mini-audit be called a GEO growth case?
No. It is a baseline diagnostic. Measured improvement requires verified interventions and a comparable follow-up.
Is an increased BMR percentage sufficient?
No. Check the numerator, denominator, same buyer questions and AI interfaces, missing answers and causal limitations.
Can anonymised audit data always be published?
No. Sector, geography and distinctive facts can still identify a client. The permitted scope must be verified first.
Does a clinic licence prove treatment effectiveness?
No. Licensing defines authorisation to conduct relevant activities, not treatment effectiveness or GEO performance.
What if there is no repeat measurement?
Label the work a diagnostic review, describe its baseline and limitations, and do not claim additional recommendations or customers.

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I will review commercial prompts, competitors and the sources used by ChatGPT, Alice, Google and other AI services.

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