What this quarterly tracker measures
Each quarter we measure how often five AI engines name specific London dental practices for real patient prompts, scoring presence, position and sentiment. Dentistry is a high-value local vertical where one AI recommendation can win a course of treatment, which makes it a clean, repeatable test of AI visibility over time.
Because AI answers move as models retrain and re-crawl, we re-run the study every quarter and track who rises and falls. That is the point of building this as a tracker rather than a one-off: a single snapshot tells you who AI names today, but a quarterly series tells you whether the market is consolidating around a few practices or opening up. The shift towards AI-first patient search is part of the backdrop here: over half of UK adults (54%) now use AI tools, and 47% would use AI to research a purchase (Ofcom, 2025).
The Q3 2026 London dentist AI visibility league table
The table ranks named London dental practices by their AI Visibility Score across all five engines, with a column showing movement since . Higher means named more often, higher up, and more favourably.
| Rank (Q3) | Dental practice | Presence (% of answers) | Avg. position | Sentiment | AI Visibility Score | Movement vs |
|---|---|---|---|---|---|---|
| 1 | <!-- DATA: practice --> |
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| 2 | <!-- DATA: practice --> |
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| 3 | <!-- DATA: practice --> |
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| 4 | <!-- DATA: practice --> |
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| 5 | <!-- DATA: practice --> |
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| … | <!-- DATA: extend to top 10–15 --> |
Caption: <!-- CONFIRM: sample size + Q3 date range -->. Scores measure AI visibility, not clinical quality.
Q3 movers: who rose and who fell
This section highlights the biggest quarter-on-quarter changes: practices that gained or lost AI visibility since . Movement usually tracks changes in third-party citations, reviews or site structure rather than advertising spend, which is what makes the tracker useful as a diagnostic rather than just a scoreboard.
Biggest riser: <!-- DATA -->. Biggest faller: <!-- DATA -->. New entrants to the top ten: <!-- DATA -->.
If this is the first edition of the tracker, there is no prior quarter to compare against, and this table becomes the baseline for every future edition <!-- CONFIRM: is this the baseline quarter? -->.
Methodology
We ran real patient prompts across five AI engines from a UK location and logged every named practice, its position and its sentiment.
- Engines (5): ChatGPT, Perplexity, Claude, Google Gemini, Google AI Overviews.
- Prompts: real patient questions across implants, Invisalign/clear aligners, emergency dentist, cosmetic dentistry and routine check-ups (for example “best dentist in [London area] for implants”, “emergency dentist near [area]”).
<!-- CONFIRM: publish full prompt list --> - Location: United Kingdom, London-weighted.
<!-- CONFIRM: locale/settings --> - Dates: Q3 2026, . Each prompt run times per engine.
- Scoring: presence, position and sentiment combined into a 0–100 AI Visibility Score.
<!-- CONFIRM: weighting --> - Tooling: AI-answer tracking via NeuralGen’s SE Ranking account plus manual verification.
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Why do some practices dominate AI answers?
AI engines favour practices that are strong, consistent entities: the same name, address and services described across trusted sources such as health directories, review platforms and local press, backed by a clean, structured site. Reviews and citations matter more here than advertising spend.
That is a meaningful finding for a sector that has historically competed on paid search and directory listings. If AI engines weight consistent, third-party-verified entity signals over ad spend, then the practices that invest in accurate, structured information about themselves — and in genuine reviews across recognised platforms — start with an advantage that money alone cannot buy quickly. Read more on entity SEO and where AI answers come from.
Presence is not endorsement: how to read this table
A high score means high AI visibility, not superior clinical care. AI can repeat outdated or thinly-sourced recommendations, and results vary by phrasing, date and personalisation.
Treat the table as an AI-visibility map, not a clinical review. Choosing a dentist is a decision that should rest on qualifications, patient reviews specific to treatment outcomes, and your own research, not on which name an AI assistant happens to say first. We state this plainly because it is a health-adjacent vertical, and honesty about the limits of the method matters more here than in most.
What this means for your practice
If patients ask AI which dentist to see and your practice is absent, those enquiries go to competitors. The remedy is entity and citation work, not more advertising, so AI engines can find, trust and name you.
In practice, that means: auditing where your practice is listed and fixing any inconsistent details; building genuine review volume on the platforms AI engines already trust; and structuring your website so a crawler can extract who you are, where you are, and what you treat, without ambiguity.
See our full AI SEO agency service for how this work is scoped and delivered.
When is the next update?
This is a quarterly tracker; the next edition (Q4 2026) will republish the table with fresh testing and a new movement column. Any single quarter is a snapshot, not a permanent ranking.
We will note the “last updated” date at the top of this page each time we refresh it, so you can see at a glance how current the table is before citing a figure from it.