See which providers AI treats as credible before a client books.
Logres measures whether AI assistants understand your treatments, credentials, locations, differentiators, and reputation—and whether they recommend competitors instead.
A market view built for the evidence behind the answer.
/01
Find recommendation gaps
See when a provider is omitted from treatment and local-reputation questions.
/02
Understand credibility signals
Trace the qualifications, safety information, reviews, and citations shaping the answer.
/03
Clarify the offer
Identify where treatment, location, or practitioner details are too vague to support 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.
Treatment clarity
Test the treatments, concerns, and service comparisons clients use before booking.
Practitioner qualifications
Review how verified practitioner and credential information appears in public evidence.
Local reputation
Measure the local and third-party signals that affect who AI treats as credible.
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.
Service structure
Inspect local and service structured data for readable treatment and location context.
Safety and eligibility
Find missing or unclear public information that should frame treatment descriptions.
Review evidence
Trace review and directory references without treating them as guarantees.
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.
Answer-ready treatment pages
Build verified service explanations around the questions clients actually ask.
Qualification evidence
Make confirmed practitioner and location facts easier to verify.
Reputation context
Address the external evidence and consistency gaps shaping recommendation confidence.
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 Logres focus on a service line?
Yes. A baseline can prioritize the treatments, concerns, location questions, and comparison prompts most relevant to the operator.
Does Logres make medical or safety claims?
No. Recommendations are grounded in verified public facts and are not a substitute for clinical, legal, or advertising review.
Start with the answer buyers see before they meet you.
Logres scopes the questions, locations, entities, and evidence appropriate to med spas & wellness.