TRUST + DATA PRACTICES

Evidence withoutunnecessary access.

Evidiam begins with the minimum information needed to evaluate the buyer experience. A complimentary review uses public company information and does not require credentials, system access, or confidential data.

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BENCHMARK INPUTPublic product information

INTERNAL ACCESSNot required

FINDING STATUSHuman reviewed

TEST RECORDPrompt + answer + source + date

PUBLIC-DATA FIRST

Start outside the firewall.

The initial review is designed to show what a buyer or buyer-facing AI platform can encounter without asking the company to expose internal systems.

Public review scope

Company, product, service, catalogue, document, channel, and other buyer-visible sources selected for the evaluation.

No internal access required

The complimentary review does not require login credentials, PIM access, private databases, or customer-confidential documents.

Customer-approved paid scope

If paid work uses approved internal records, the specific sources, offerings, markets, and users involved are defined before that work starts.

Purpose-limited communication

Information submitted through the review form is used to evaluate the request and communicate about Evidiam's services.

FINDING CONTROLS

Customer-facing conclusions pass a human review.

Automation can collect and organize evidence. It does not remove the need to verify product identity, authority, materiality, and repeatability before making a consequential claim.

CONTROLWHAT IS CHECKEDWHY IT MATTERS

Exact product identity

Model, suffix, configuration, market, and lifecycle status.

Prevents transferring a sibling product's facts.

Source authority

Current manufacturer-approved or controlling evidence.

Separates a correction from another unsupported claim.

Materiality

Whether the difference could affect selection, installation, safety, compliance, or use.

Prioritizes consequential findings over trivial variation.

Repeatability

Whether an AI outcome persists under the evidence threshold assigned to it.

Prevents a one-time response from becoming a market claim.

TRANSPARENT LIMITS

What a responsible evaluation can and cannot establish.

Buyer-facing AI systems change. Evidiam documents the conditions it can observe, reports the strength of the evidence, and avoids guarantees about systems it does not control.

01AI responses can vary by interface, prompt, retrieval mode, session, location, and model update.

02Evidiam records observable test conditions and does not imply access to an AI provider's private ranking or training systems.

03A correction can improve the public information environment, but no third party can guarantee a particular AI recommendation.

04Security, processing, retention, and access requirements for customer-provided pilot data are agreed during commercial scoping.

Review the full methodology Open the Security Center

FREE AI BUYER REVIEW

See the answer your buyers get.

Send your website. We test three real buyer questions and show where your company or products disappear, drift, or lose control of the source.

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