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May–August 2026 client case study · London

How The Treatment Rooms London became a stronger answer for high-value hair transplant decisions.

We began working with The Treatment Rooms London in May 2026. The clinic already had an unusually strong clinical story: surgeon-led care, a large library of patient outcomes and meaningful third-party authority. Our opportunity was to turn those scattered strengths into a connected acquisition system that search engines and AI answer engines could retrieve, understand and corroborate.

What changed

From a strong clinic website to a mapped answer surface.

Instead of chasing one broad “hair transplant London” ranking, we organized the market around the decisions that precede a consultation: clinic selection, technique, candidacy, cost, discretion, recovery, safety and proof. We then measured the brand across a 20-answer buyer-intent sample and connected the visibility work to referral outcomes reported by the clinic.

+25%more referrals attributed to ChatGPT and Claude since June
20 answerssampled across commercially relevant buyer questions
May–Augone connected intelligence, build and measurement cycle
140+patient outcomes available to reinforce proof-led questions
Measured business outcome · since June 2026

AI visibility started turning into referred patients.

The clinic reported a 25% increase in referrals attributed to ChatGPT and Claude from June onward. That is the result that matters: not simply appearing more often, but becoming part of how prospective patients discover and shortlist the clinic.

June baseline100
ChatGPT + Claude referrals125

25% growthClinic-reported referral volume, indexed to the June baseline.

Referral result supplied by The Treatment Rooms London. Indexed values illustrate the reported 25% increase and do not disclose the clinic’s private patient counts.

20-answer visibility sample · August 2026

The commercial answer surfaces now in market.

Shareof.ai sampled 20 answers across buyer questions covering clinic selection, procedures, cost, proof and surgeon evaluation. We paired that answer-level evidence with DataForSEO search coverage and live source checks to see which owned pages could support each decision.

Demand clusterExample buyer questionWinning owned surface
Clinic discoveryBest hair transplant clinic in LondonCore clinic and surgeon-led positioning
Procedure intentFUE and FUT hair transplant LondonDedicated procedure pathways
High-value nicheUnshaven hair transplant LondonSpecialist page with cost, recovery and candidacy evidence
Commercial researchHair transplant cost in the UKTransparent £3,000 to £15,000 pricing guidance
Proof-led researchFUE hair transplant before and after140+ standardized patient outcomes
Provider selectionHow to find a good hair transplant surgeonSurgeon credentials, safety and selection criteria

The 20-answer sample is a point-in-time market measurement. Search positions and AI answers can vary by location, model and date. Shareof.ai keeps search coverage, answer visibility and referred business outcomes as separate evidence layers.

The managed growth program

Research first. Ship next. Measure against day one.

The work runs as one operating cycle, with each deliverable connected to a commercially valuable patient decision.

01May · Days 1–14

Intelligence

Mapped patient questions, competing clinics, recurring AI recommendations, influential sources and the day-one Shareof.ai baseline.

02May · Days 15–30

Architecture

Scored opportunities by consultation value, designed the page backlog and defined the evidence, source and internal-link requirements.

03June–July · Days 31–60

Build

Strengthened priority service, cost, comparison and education surfaces, then added technical structure and the first authority work.

04August · Days 61–90

Strengthen + measure

Expanded early winners, closed corroboration gaps and measured prompt, citation and search movement against the May baseline.

Why the model is different

Most teams measure a channel. We measure the decision.

01Answer-level intelligence

We inspect the actual prompts, recommendations, competitors and citations instead of reducing AI visibility to a single score.

02Search demand attached

DataForSEO ranking and demand data shows where intent already exists and which owned page should compete for it.

03Sources mapped

We identify the publishers, directories and third-party pages that repeatedly shape both search results and AI answers.

04Execution included

The output is not another audit. Research becomes pages, technical changes, evidence, internal links and authority initiatives.

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