What did we measure, and why estate agents?
We measured how often five AI engines name specific London estate agents in response to real buying prompts, scoring presence, position and sentiment. Estate agency is a high-value London vertical where one AI recommendation can win a valuable instruction, making it a clear test of whether AI visibility now matters offline, not just in search results.
The shift behind this study is simple: over half of UK adults (54%) now use AI tools, and 47% say they would use AI to research a purchase (Ofcom, 2025), so more buyers now ask an assistant before opening Google. When someone asks ChatGPT “who’s a good estate agent in Clapham for selling a flat”, the assistant does not show ten blue links. It names two or three firms, sometimes with a short description of each. If your firm is not one of the names, you are invisible at the exact moment a buyer is deciding who to call.
This matters beyond estate agency. The same dynamic plays out in every local, high-value service category — dentists, solicitors, accountants, banks. Estate agency is simply one of the clearest, most commercially legible examples, which is why it is the first vertical NeuralGen has measured this way.
The London estate agent AI visibility league table
The table below ranks named London estate agents by their AI Visibility Score across all five engines, combining presence, position and sentiment into one figure. Higher means the AI named them more often, higher up in the answer, and more favourably.
| Rank | Estate agent | Presence (% of answers) | Avg. position in answer | Sentiment | AI Visibility Score |
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| … | <!-- DATA: extend to top 10–15 --> |
Caption: <!-- CONFIRM: sample size + date -->. Scores measure AI visibility, not service quality.
Methodology
We ran buying prompts across five AI engines from a UK location and logged every named estate agent, its position in the answer and the sentiment of its mention.
- Engines (5): ChatGPT, Perplexity, Claude, Google Gemini, Google AI Overviews.
- Prompts: real buying questions (for example “best estate agent in [London area] for selling a flat”, “who should I use to let my property in [area]”), spanning sales, lettings and valuations.
<!-- CONFIRM: publish full prompt list as an appendix/download --> - Location: United Kingdom, London-weighted.
<!-- CONFIRM: exact locale/settings --> - Dates: . Each prompt run times per engine to reduce variance.
- Scoring: presence (share of answers naming the firm), position (rank within the answer), sentiment (positive/neutral/negative framing), combined into a 0–100 AI Visibility Score.
<!-- CONFIRM: exact weighting --> - Tooling: AI-answer tracking via NeuralGen’s SE Ranking account plus manual verification.
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We publish this method in full, alongside the prompt list, so the study is checkable rather than a black box.
Why do some estate agents appear and others don’t?
AI engines tend to name firms that are strong entities: consistently described across trusted third-party sources such as directories, review platforms, local press and property portals, with clean, structured websites. A firm can dominate Google ads yet still be invisible in AI answers if those citation sources don’t reinforce it.
This is the core difference between traditional SEO and AI visibility. Paid visibility buys you a slot on a search results page. It does not buy you a mention inside an AI-generated answer, because that answer is assembled from what the model already believes to be true and well-supported about your business. Entity consistency, third-party citations, review presence and clean schema markup all feed that belief. Read more on entity SEO and where AI answers actually come from.
Presence is not endorsement: how to read this table
Being named often does not mean an agent is the best, only that it is the most visible to AI. Engines can repeat outdated or thinly-sourced recommendations, so a high score in this table is a measurement, not a character reference.
A few limitations worth stating plainly: models change between our test date and the date you read this; answers vary by exact phrasing and by the device or account context used to ask; and personalisation can shift results for any individual user. Treat this table as a map of AI visibility on the dates we tested it, not a permanent ranking of quality or trustworthiness.
What this means for London estate agents (and any local firm)
If your firm is missing from the table, AI assistants are sending buyers to competitors you can measure but not yet match. The fix is not more advertising spend, it is entity and citation work so AI engines can find, trust and name you consistently across the sources they already rely on.
That work looks like: consistent name, address and description everywhere you’re listed; genuine third-party citations rather than self-published claims; structured data that tells a crawler unambiguously who you are and what you do; and content that answers the exact questions buyers put to AI assistants.
If you want the full picture of how this fits together, see our AI SEO agency service page.
How often will this study update?
AI answers change as models retrain and re-crawl, so we re-run this study periodically and republish the table with a fresh date. Treat any single snapshot as directional rather than fixed.
We intend to update this study <!-- CONFIRM: quarterly? -->. As of <!-- CONFIRM: month/year -->, the figures above reflect our most recent test run; check the “last updated” date on this page before citing a specific number.