Repeat, not one answer
Independent observations make output variability visible.
METHODOLOGY · V1.0
If the measurement is not understandable, the recommendation is not trustworthy.
We do not judge AI visibility from one screenshot or an unexplained score. Every finding connects to a query, repeat observation, raw evidence, rule, and limitation.
Last updated: 31 August 2026
Separate metrics, not a score
Mentions, recommendations, positions, and citations stay separate.
Evidence trail, not assertion
The records and classifications behind a result are retained.
- 01
Design and freeze the query set
Market, language, treatments, patient intent, and commercial scope are fixed before the benchmark begins.
- 02
Collect independent runs
Each query is observed multiple times; one answer is never treated as definitive evidence.
- 03
Record provider, date, and scope
Language, market, date, provider, successful observations, and limitations are disclosed.
- 04
Preserve raw responses
The outputs behind the review are retained within applicable licensing and privacy terms.
- 05
Match known entities deterministically
Clinic names, domains, and verified variations follow explicit matching rules.
- 06
Review ambiguity manually
Unknown clinics, unclear ranking language, and source relationships enter human review.
- 07
Accept explicit ranking only
Text order is not treated as position without clear numbering or recommendation language.
- 08
Re-measure comparably
Market, language, queries, and rules stay as consistent as possible when measuring change.
METRIC FORMULAS
The denominator is never hidden.
Rates are presented with successful-observation counts and an explanation of how failed outputs were handled.
Mention rate
Successful responses naming the clinicTotal successful responses
Explicit recommendation rate
Responses clearly recommending or ordering the clinicTotal successful responses
Top-position rate
Explicit recommendations in defined leading positionsTotal successful responses
Citation rate
Responses with a reviewed clinic-associated sourceTotal successful responses
Average recommendation position
Sum of non-null explicit positionsExplicit recommendations with position data
WHAT THE METHOD CANNOT PROVE
Visibility is not a business outcome by itself.
A benchmark does not prove revenue, patient demand, clinical quality, treatment outcomes, or a permanent AI ranking. It separates observation from inference.
A TRANSPARENT START