Reviews courseModule 6 of 7: Using Your ReviewsLesson 6.1
Reviews, Local Rankings and AI Answers
What happens to your reviews after customers write them. They may help decide where you appear in local results, and AI assistants may repeat a rating, a count or a theme when someone asks "Who is the best estate agent in [town]?" This lesson covers what the evidence says, and how to make your real rating and count read the same everywhere a person or an AI might look.
By Morgan King, founder of Reyse Facts checked October 2026 Jump to Your turn
Why it matters
Your website says one rating, Google another and Trustpilot a third, and an AI assistant picks whichever it finds.
The evidence
Evidence: Study
Google's official statements on ranking and markup. Expert opinion (Whitespark) and vendor studies, correlation only. How much reviews affect ranking or AI answers for UK agents is unproven.
Do this first
Make a review facts sheet: each platform's rating, count and the date you checked. Quote only those figures.
01What it is
A new pupil asks a helpful robot which after-school club is best. The robot can’t walk the corridors; it can only read the noticeboards it finds. If your club’s good marks are on one board and the others show old or different numbers, the robot repeats whatever it read.
Think of it like
A shop whose sign, window poster and delivery van all show different phone numbers. People trust whichever they see first, and the odd one out makes them doubt all three.
02Why it matters
To the people searching
Someone who asks ChatGPT or Gemini who to trust usually never opens your Google profile: the assistant answers from what it can find. A seller choosing between three agents is likely to be reassured by recent, specific, honestly answered reviews. A UK vendor study (Trusted Agent, June 2026) found agents rated 4.5 or above completed about 2.3 times as many sales, but that shows the two go together, not that reviews caused it. You don't need a perfect score: Google's own advice says a mix of positive and negative reviews looks more trustworthy.
buyers
May ask an assistant which agent to trust, and see a rating and a few themes before visiting your site.
tenants
Ask AI tools about agents, and see whatever figures the tool found.
sellers
Use AI answers and the map to shortlist who to invite for a valuation.
landlords
Notice when the numbers differ between platforms.
To Google, the platforms and AI
Evidence: StudyGoogle says more reviews and positive ratings can help local ranking, gives no numbers, and doesn't say replies are a ranking factor. Whitespark's 2026 expert survey ranked a high rating, review volume and recency highly, and replies low. On review markup, Google's rules are clear: a page about a business that controls its own reviews can't get review stars in search, even through a widget, and you mustn't mark up reviews collected from other sites. No AI company has said it uses review markup. Assistants read the pages and profiles they find, and in Whito's UK snapshot (August 2026) they quoted ratings and counts, and cited GetAgent, allAgents and ThreeBestRated.
An agent example
Marlow Lane Homes had 96 Google reviews at 4.6, 14 Trustpilot reviews at 3.8 with no replies, and a website banner saying "Rated 4.9 by 150 clients" from a 2022 widget. Asked "Is Marlow Lane Homes any good?", two assistants quoted the Trustpilot figure and one quoted the banner. The branch made a review facts sheet, replaced the banner with a dated line matching Google ("4.6 from 96 Google reviews, checked 14 October 2026"), replied to the Trustpilot reviews, and started asking every client through one routine.
03Your turn
Check yours, then fix it
- 1In a private window, search your agency name, then "[agency] reviews" and "[agency] reviews [town]".
- 2Note the stars and counts shown, and compare them with your live profiles.
- 1In a private window, ask ChatGPT, Gemini, Copilot, Perplexity and Claude: "Who is the best estate agent in [town]?", "Who is the best letting agent in [town]?", "Is [agency] any good?" and "Are [agency] reviews real?"
- 2Run each three times. Record whether you were named, any rating or count, the themes and the sources cited.
- 3The GEO course explains how to test AI fairly (GEO 2.3).
- 1One row per platform (Google, Bing, Trustpilot, Facebook, any property site): rating, count and newest review date.
- 2Add a row for what your website says, and one for what each AI answer said. Mark every mismatch.
- 1Run your homepage, reviews page and valuation page through the Rich Results Test.
- 2Note any review or rating markup, who added it (a plugin, a widget, a developer) and whether its figures match the visible page.
- 1Each platform's rating and count, with the date you checked.
- 2Quote only figures from that sheet, with the date, on your website, in adverts and in emails.
- 3Replace anything you can't prove with a link to the platform profile.
- 1Use the same agency and branch names on every profile so reviews attach to the right business (SEO 3.4).
- 2Reply on every platform you use, so each has recent, answered reviews (lesson 4.2).
- 3Put a short reviews page on your site with real quotes and a dated rating line, in plain text any reader or AI can use (lesson 6.2).
- 1If a plugin has added review markup about your own business, ask your developer to remove or correct it.
- 2If you use markup at all, it must describe real reviews visible on that page, with matching figures, and nothing collected from other sites.
- 1Never ask clients to include words in a review: Google bans requesting specific content, and the CMA says you mustn't decide what a review will say.
- 2In replies, mention the branch or area only where it's natural. Never stuff keywords.
- 3No one-day review drives, bought or swapped reviews, staff reviews or gating.
- 4Never remove honest mixed reviews, and never chase 5.0.
Then: Run the AI check and re-check your quoted figures every quarter, and after any big batch of new reviews.
04Keep it up
Quarterly: the AI check and a check of every figure you publish.
Go deeperWhat the AI studies say (none are UK property studies)
A few studies hint at a link between reviews on well-known platforms and being found by AI tools. Insites (2026, US local businesses) found businesses surfaced by both ChatGPT and Perplexity averaged far more Google reviews than those surfaced by neither. Seer Interactive (2026, promoted by Trustpilot) found brands with even a small Trustpilot profile were cited far more often than brands with none. All are correlations, and busy businesses may simply have more of everything. They suggest having real reviews on well-known platforms matters, not how much, or why.
Go deeperIs a perfect 5.0 a problem?
A Northwestern University study of product purchases found buying peaked at ratings around 4.2 to 4.5 stars rather than 5.0, and in YouGov's 2025 survey 64% of British adults said fake or overly positive reviews would put them off. There's no UK evidence about agents, and Whito saw AI tools recommend an agency with a 5.0 rating. The lesson is simple: never remove honest mixed reviews, and never chase a perfect score.
Sources
- 1.Local Search Ranking Factors 2026 · Whitespark, 2026
- 2.Tips to improve your local ranking on Google · Google Business Profile Help
- 3.Agents with best reviews close more sales, Kerfuffle claims · Estate Agent Today, June 2026
- 4.AI estate agent recommendations in six UK cities · Whito, August 2026
- 5.Purchase likelihood highest for products rated between 4.2 and 4.5 stars · Retail TouchPoints, on Northwestern research, 2017
- 6.How UK shoppers check if an online store is legit before purchasing · YouGov, 2025
Facts checked October 2026, and re-checked every quarter. Spotted something out of date? Tell us.
That's lesson 6.1
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