Last Updated on August 20, 2026
We asked ChatGPT, Google Gemini and Google AI Mode to name the best estate agent in six UK cities, and kept the screenshots. The fifth industry in our series delivered its most commercial finding yet: the space around AI answers about estate agents is already being bought.
Over the past week we have asked three AI engines to recommend an accountant, a solicitor, a dentist and a vet in the same six UK cities. Each study measured one thing: when the engines answer, do they agree?
Today, the most searched “best X in [city]” category of them all: estate agents. And while the consensus pattern held, the thing that jumped off the screen this time was money.
What we did
One fixed question, worded the way a mover would ask it: “Who is the best estate agent in [city]?”
We asked it in Manchester, London, Birmingham, Leeds, Bristol and Glasgow, across three engines, all on 17 August 2026 from a UK browser: ChatGPT (free tier, with web search), Google Gemini (free app), and Google AI Mode (Google’s AI search). We recorded every agency named, matched the overlaps with set logic, and screenshotted what each engine showed.
Two disclosures upfront. First, Gemini’s free tier delivered only two of our six city answers (Manchester and London) before silently discarding every further question, the same behaviour we documented in the vets study; all statistics are computed on the 16 delivered answers, and consensus figures are flagged accordingly. Second, our first ChatGPT Manchester attempt accidentally included an unrelated draft question in the same message, so it was discarded and re-run in a clean chat.
The headline numbers
- The engines named 60 different estate agencies across 86 recommendation slots.
- 37% of agencies were named by more than one engine, and that figure is understated, because in four cities only two engines were available to agree.
- In the two cities where all three engines answered, 4 of 25 agencies were named by all three: Julie Twist Properties in Manchester, and Dexters, Knight Frank and Savills in London.
- Where ChatGPT and Google AI Mode overlapped, they repeatedly quoted identical figures: Boardwalk Property Co at 4.9 from 863 reviews in Bristol, Walker Wylie at 5.0 from 187 in Glasgow, Pacitti Jones at 4.8 from 360.
- The largest review count quoted anywhere in our five-study series appeared here: Dexters in London, at 4.9 stars across more than 40,000 reviews.
| City | Unique agencies named | Named by 2+ engines | Named by all 3 |
|---|---|---|---|
| London | 13 | 6 | 3 (Dexters, Knight Frank, Savills) |
| Manchester | 12 | 6 | 1 (Julie Twist Properties) |
| Birmingham* | 11 | 3 | n/a (2 engines) |
| Bristol* | 9 | 2 | n/a (2 engines) |
| Leeds* | 8 | 3 | n/a (2 engines) |
| Glasgow* | 7 | 2 | n/a (2 engines) |
| Total | 60 | 22 | 4 (of the 2 three-engine cities) |
*Gemini’s free tier did not deliver answers for these cities, so full three-engine consensus was not possible there.
The finding: the answer page is up for sale
ChatGPT’s free tier shows labelled adverts beneath its answers. In our earlier studies these were mostly incidental. Not this time. Beneath five of our six estate agent answers sat a property-sector advert, each one matched to the question we had just asked.
Purplebricks ran “Sell For a Fair, Fixed Fee” under our Manchester answer and a free valuation offer under Birmingham. GetAgent, the agent comparison site, advertised under London and Leeds. A cash house buyer, We Buy Any Home, appeared under Glasgow.
Here is the layer worth studying. GetAgent did not just buy ad space. Its data also appears inside ChatGPT’s organic answers: cited as a source in Manchester, quoted as evidence in Bristol (“GetAgent currently has it among Bristol’s strongest performers”), and in Glasgow ChatGPT reported that “GetAgent currently lists Westgate #1 in Glasgow City” complete with the rating from GetAgent’s own dataset.
To be clear, we saw no evidence that advertising influences the organic answers, and GetAgent’s rankings are a natural data source for an engine regardless of any ad spend. What the screenshots document is a comparison site that now occupies both layers of the AI answer page: the evidence the answer is built from, and the ad slot underneath it. In the solicitors study one law firm had worked this out. In property, a whole supply chain has.
What the engines actually show
All three screenshots are answers to the same Manchester question.
Gemini categorised the market: city-centre specialists, corporate coverage, award-winning independents.
Google AI Mode ranked “top-performing” agencies by strengths, average fees and track records, with live business cards.
ChatGPT, in the first screenshot above, went furthest towards being a buying guide: it matched a recommended agency to each situation, family home, premium property, city-centre flat, lettings, and offered to narrow the list to “the 2 to 3 agents most likely to achieve the best result for your specific property”.
The awards circuit runs the answers
Estate agency turned out to be the most award-saturated industry we have tested. Across 16 answers the engines quoted, as reasons to recommend: the EA Masters (“Sales Agency of the Year”), the customer-voted ESTAS, the British Property Awards in three different cities, the Best Estate Agent Guide, the allAgents People Awards, the Scottish Home and Herald awards, and Rightmove’s own No. 1 rankings for two Birmingham agencies.
ChatGPT’s Leeds answer even named an individual: the allAgents People Awards’ 2026 Best Estate Agent winner for Leeds, “Carol Flynn of Emsleys Estate Agents”, surfaced by name from a client-voted award. Engines also credited individual team members from review text, as they did with vets. Your people are part of your visibility.
Our reading, consistent with the whole series: where an industry builds public, structured evidence, engines converge on it. Estate agency has review platforms, comparison sites, portals and a dense awards circuit, and every one of them showed up as quoted evidence.
Corporates get a lane, independents get the crown
Unlike the vets study, where corporate chains barely appeared, the big property brands are firmly in these answers: Savills and Knight Frank achieved full three-engine consensus in London, and Savills was named in three of six cities. But look at how the engines use them. The corporates are consistently assigned a lane, “prime property”, “maximum coverage”, while the warm words, the award citations and the “personal service” recommendations go to independents: Julie Twist, Boardwalk, Walker Wylie, Cornerstone, LV PROPERTY.
For an independent agency, the playbook this study suggests is specific: win the client-voted awards, keep the review volume high, and make sure the comparison platforms have your data, because the engines are reading all three.
What an estate agency should do with this
Three things, in order of leverage.
Treat GetAgent, allAgents and the portals’ rankings as AI infrastructure. ChatGPT quoted GetAgent’s dataset by name in three cities and Rightmove rankings in a fourth. Where your profile on those platforms is thin or stale, that is now visible inside AI answers.
Enter the client-voted awards. The ESTAS, EA Masters, British Property Awards and allAgents awards were all quoted as reasons. These are built from review activity you already generate; an entry is cheap relative to what a quoted award line inside an AI answer is worth.
Decide your lane and say it plainly. The engines matched agencies to situations: premium, city-centre flats, lettings, personal service. Agencies with a clear, machine-readable specialism got recommended for it. Agencies without one got left out.
The sharp takeaway
Five industries in, the pattern is settled: AI engines agree exactly as much as an industry’s public evidence lets them, and estate agency generates more structured evidence than almost anyone, so the answers are converging fast.
What is new here is the commercial layer. Under the organic answer sits a paid slot, and the property industry is already buying it. The AI answer page is becoming what the Google results page became twenty years ago: contested space. The difference is that this time, the organic half is built from awards, reviews and comparison data you can still influence for free.
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Method, limitations and what this study does not say
Method. One question, asked verbatim in each engine: “Who is the best estate agent in [city]?” Six cities: Manchester, London, Birmingham, Leeds, Bristol, Glasgow. Three engines, queried 17 August 2026 from a UK browser: ChatGPT (free tier, logged in, default model with web search), Google Gemini (free app, default model), Google AI Mode. Every agency named as a recommendation was recorded and matched by name within each city (multi-branch brands matched at brand level); agreement statistics were computed with deterministic set logic. Screenshots are unedited apart from cropping; one AI Mode screenshot’s citation panel was cropped out because it contained disparaging user-forum content about named businesses, which we do not republish.
The Gemini gap. Gemini answered Manchester and London, then its free tier silently discarded every further question across repeated attempts, the same behaviour we documented on a different day in the vets study. All statistics use the 16 delivered answers; three-way consensus figures use only the two fully answered cities and say so; the 37% named-by-2+ figure errs low because four cities had only two engines available to agree.
One discarded answer. Our first ChatGPT Manchester attempt accidentally sent an unrelated draft question in the same message, so that answer was discarded and the question re-run in a clean chat. Only the clean answer is used.
On named agencies and advertisers. Agencies are named only as having been recommended by an AI engine, a positive or neutral fact about visibility; we make no claims about the quality of any agency’s service, and ratings, review counts and awards are as quoted by the engines, not audited. On advertising: we report only what was on screen. We saw no evidence that ads influence organic answers, and GetAgent’s rankings are a natural organic source on their own merits; the advertisers Purplebricks and We Buy Any Home did not appear in any organic answer.
Snapshot, not league table. AI answers vary by day, account, session and location. A different day would produce different lists. Series comparisons are directional: question structure and cities are constant, but wording differs by industry and engine availability has varied.
This article is general information based on a snapshot study, not advice for any specific business, and not a recommendation of any estate agency. Whito has no commercial relationship with any business named.
Common questions
Do AI engines recommend the same estate agents?
Partly. In our August 2026 test, 37% of the 60 agencies named were recommended by more than one engine, and in the two cities where all three engines answered, four agencies achieved full three-engine consensus: Julie Twist Properties in Manchester, and Dexters, Knight Frank and Savills in London.
How does ChatGPT choose which estate agent to recommend?
Largely from comparison platforms, awards and review data. In our test it quoted GetAgent’s rankings by name in three cities, cited allAgents and ThreeBestRated, and justified entries with Google-style ratings and review counts.
Are there ads in ChatGPT’s estate agent recommendations?
Yes, prominently. In our test, labelled property-sector adverts appeared beneath five of six city answers: Purplebricks, GetAgent and We Buy Any Home. Ads are shown separately from the answer text, and we saw no evidence they influence the organic recommendations.
Do estate agency awards help with AI visibility?
On this evidence, strongly. Engines quoted the EA Masters, the ESTAS, the British Property Awards, the Best Estate Agent Guide and the allAgents People Awards as stated reasons for recommendations, and in one case surfaced an individual award-winning agent by name.
Do AI engines prefer independent estate agents or big brands?
Both, in different lanes. Corporate brands like Savills and Knight Frank were consistently recommended for prime property and coverage, while independents collected the “personal service” recommendations and most of the award citations.
- Which vets does AI recommend? The engines favour independents, with screenshots
- Which dentists does AI recommend? Review volume as an authority layer
- Which solicitors does AI recommend? The directory effect
- Which accountants does AI recommend? One firm in 109 got consensus
Following this study we opened an estate agents section in the Whito directory. Every agency listed is checked against the Companies House register, listings are free, and position is never for sale.
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