Trust & Methodology

Defensible outputs. Operational transparency.

If teams act on AI visibility, they need evidence they can audit and reliability they can trust.

Gemmetric is designed around one premise: every score maps to observable signals, and every scan has a reliability story.

Principles

What trust means here

Trust is not branding. It is the ability to defend decisions with evidence.

Explainability

Every score maps to signals you can point to, page by page and source by source.

Repeatability

Scans run consistently and can be compared over time. Deltas matter more than snapshots.

Transparency

Reliability and failures are visible. You should see the same operational truth we see.

Defensibility

Scoring stays grounded

Many signals roll up into three explainable scores that match how models decide what to recommend.

GEO

Structural clarity. Can AI parse your site and business attributes without ambiguity?

GEM

External verification. Do trusted sources corroborate identity across the web?

Perception

Interpretation. What does AI believe, and would it recommend you with confidence?

SLA story

Every scan tells a story

We do not ask you to trust uptime claims. We expose scan reliability, latency, and domain-level failures as product data.

Success rate (rolling)

99.2%

See reliability over time. No black boxes.

Avg scan duration

42s

Latency spikes can indicate site or routing issues.

Failure rate by domain

0.8%

Surface blocked crawlers, robots rules, and auth walls.

SLA compliance

On target

Enterprise posture: measurable, auditable delivery.

You get the same operational transparency we use internally.

Read the SLA story →

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