Independent public-source observation

Know how AI answers when your market asks.

EvidBureau observes how answer engines describe a company under a documented, repeatable audit method. The result is evidence, not endorsement.

01

Visibility

Whether an engine surfaces the company in the tested answer set.

Reported independently /100
02

Answer accuracy

Whether observed descriptions align with documented public information.

Reported independently /100
03

Source strength

Whether public sources supporting the answer are present and attributable.

Reported independently /100
04

Recommendation tendency

How the tested engine distributes its observed recommendation response.

Reported independently /100

Four measures. No composite score.

Each engine and each measure is reported separately. We do not blend unlike observations into one headline ranking, and we do not convert unavailable observations into zero.

01

Define the observation set

We document the company, market, competitors, engines, prompts, region, and audit window.

02

Observe public answer behaviour

We capture the defined public-source and answer-engine observations with their operating context.

03

Deliver evidence, limits, and scores

Each completed dimension is explained in plain language and accompanied by its scope and limitations.

The boundary

Useful because it is neutral.

01

We audit. We do not sell rankings or optimization outcomes.

02

Scores describe a defined observation, not market truth or a guarantee of AI behaviour.

03

Audit materials state their method version, source scope, time window, and known limitations.

04

Evidence integrity controls do not convert an observation into a certification.

Start with the evidence

See what answer engines actually say.

Talk to EvidBureau