No paid placements Β· No sponsored rankings

How We Rank Clinics

Our rankings are built entirely on real patient reviews aggregated from Google and Trustpilot. No clinic has ever paid to appear on this site β€” and no clinic ever will.

Data Sources

Google Reviews

We sync reviews from each clinic's Google Business Profile. Google reviews are widely trusted and difficult to manipulate, making them our primary signal for overall patient satisfaction.

Trustpilot Reviews

Trustpilot adds a second independent verification layer. We use it as a cross-check against Google β€” a clinic with strong scores on both platforms gives us higher confidence in the result.

We do not collect or display reviews submitted directly through our website. All reviews come from public third-party platforms to avoid any bias or fabrication.

The Scoring Formula

We score each clinic on a 12-month rolling window. Recent patient experiences carry more weight than older ones β€” a clinic that improved (or declined) recently should reflect that.

1

12-Month Review Window

Only reviews published in the last 12 months count toward the main score. This prevents very old reviews β€” positive or negative β€” from distorting the current picture.

2

Combined Platform Average

We compute a weighted average across Google and Trustpilot, giving proportional weight to each platform based on the number of reviews. A clinic with 500 Google reviews and 50 Trustpilot reviews will naturally skew toward Google.

3

Volume Confidence Floor

A clinic with only 10 reviews in the last 12 months is harder to rank confidently than one with 300. We factor in review volume so that a clinic cannot claim a top position on a thin evidence base.

4

Trend Signal

We split the 12-month window into quarterly periods and compare ratings across quarters. Clinics on an upward trend receive a slight boost; those declining receive a slight penalty to flag potential quality drift.

AI-Assisted Sentiment Analysis

Star ratings only tell part of the story. We use AI to read the actual text of reviews and extract what patients are saying about specific aspects of their experience.

Stage 1 β€” Tagging

Every review is tagged with a sentiment label (positive, neutral, or negative) and assigned to a topic β€” such as results quality, hygiene, aftercare, or professionalism.

Stage 2 β€” Aggregation

Topic tags are aggregated per clinic to surface patterns. A clinic tagged heavily with "results quality: positive" shows up differently to patients than one with mostly generic praise.

AI Score (0–100)

A final 0–100 AI score summarises overall sentiment strength, topic coverage, and evidence quality. It is displayed alongside the star rating on each clinic detail page.

AI analysis is used to enrich the clinic detail pages only. The primary ranking on the clinics listing uses the star-rating formula above.

No Clinic Has Ever Paid for a Better Ranking

We generate revenue as an independent broker when we match a patient with a clinic and the procedure happens. That means our incentive is to match patients correctly β€” not to inflate rankings for clinics who pay us more. We have no sponsorship tiers, featured placement slots, or pay-to-rank options.

See the Full Clinic Rankings

Questions About Our Data?

We're happy to explain our methodology in more detail. Reach out and our team will walk you through any specific clinic's review history.

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