See which providers AI recommends before a patient books.
Logres measures how AI assistants position your practice across specialties, treatments, locations, credentials, and patient decision questions.
A market view built for the evidence behind the answer.
/01
Map patient discovery
See whether the practice is present when patients compare specialties, treatments, and nearby options.
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Check clinical context
Review how services, locations, and credentials are described in the evidence supporting an answer.
/03
Find accuracy gaps
Surface outdated or incomplete descriptions that can distort patient consideration.
01 Measure the questions
Start with the decisions that put your market on a shortlist.
A market baseline is designed around real buyer questions, not generic keyword volume. The work keeps the relevant services, entities, locations, and decision context visible from the first response to the evidence behind it.
Specialty coverage
Measure the treatments, conditions, and care decisions patients actually ask about.
Provider credentials
Check whether clinicians, credentials, and clinical context are accurately connected.
Location and availability
Identify where local and service information is incomplete or inconsistent.
02 Diagnose the evidence
Connect the answer to the public information shaping it.
Logres traces the sources, descriptions, and entity relationships that support an AI-generated recommendation. The result is a grounded view of what is present, missing, or inconsistent—not a generic content prescription.
Medical structure
Review MedicalClinic and provider signals that clarify services, people, and locations.
Institutional citations
Trace directories and institutions AI systems may use to support descriptions.
Service accuracy
Locate unsupported, stale, or ambiguous care descriptions.
03 Improve what is verifiable
Turn the evidence into a clear, reviewable path forward.
Recommendations stay tied to confirmed facts, target pages, and the source evidence behind them. Teams can review changes individually and keep implementation work separate from later AI re-measurement.
Treatment clarity
Prioritize grounded pages that explain specialties, treatments, and appropriate next steps.
Provider evidence
Improve the verified public evidence linking practitioners, credentials, and services.
Location consistency
Resolve location-level facts before they become recommendation errors.
Scope stays grounded in your market.
The baseline is a point-in-time measurement of AI-assisted consideration. It is not a promise of future recommendations or business outcomes.
Can a baseline focus on one specialty?
Yes. The prompt groups can be scoped to a specialty, treatment, location, or patient decision question.
Does Logres evaluate medical appropriateness?
No. Logres measures public AI visibility and description accuracy; it does not provide medical advice or validate clinical appropriateness.
Start with the answer buyers see before they meet you.
Logres scopes the questions, locations, entities, and evidence appropriate to healthcare providers.