Last updated: August 2026
You’ve just been recommended by an AI Assistant. This should be the end of the story, but for most people, it is just the beginning of a more skeptical second chapter. The questions at this stage seem noticeably clearer than those before:
“Is this agent legitimate?”
“Do the reviews match what the AI told me?”
“Is this area really safe and suitable for families?”
“Are these charges normal?”
Verification is done across a wide range of places: Rightmove, Zoopla, Google Business Profile reviews, Trustpilot, allAgents, local Facebook groups and Reddit threads, anywhere that feels human, fresh and not curated.
BrightLocal’s 2026 Local Consumer Survey found that 97 percent of consumers now read reviews before choosing a local business, the percentage of people using AI tools like ChatGPT to discover and vet local businesses jumped from 6 percent to 45 percent in one year, and it is now the third most used discovery channel behind only Google and Facebook. This is a US panel, but the pattern applies directly to how UK buyers and sellers vet agents and surveyors today.
This looks different depending on who is checking
For a residential buyer or seller, it’s largely about recent, specific reviews and a fee structure that doesn’t need to be deciphered.
For a survey, commercial agency and property management, the inspection process is quite thorough but looks for completely different things. Buyers of these professional services will want to know if the surveying company is regulated by RICS and carries appropriate professional indemnity insurance. They are looking for case studies or track record of similar assets, industrial, retail, listed buildings, mixed-use blocks. They are investigating how the managing agent handles service charge transparency and Section 20 consultation. They are looking for evidence to show that the managing agent has actually concluded deals in this sub-sector recently, and not just listed them.
Why does journalism carry special weight here?
Muck Rack’s Genetic Pulse research, based on more than 1 million AI-cited links, finds that earned media and journalism make up about a quarter of all links cited by AI models, rising to nearly half when the query indicates a need for up-to-date information. Asking the price of a house or the rental market is exactly this type of inquiry. “Is this still true today” is included in almost everything people ask about real estate.
What really gains confidence at this stage
- Display your professional affiliations clearly and consistently. RICS, Propertymark, ARLA, NAEA, where they apply, are not buried in the footer.
- Keep review answers up to date, and correctly respond to difficult questions. A calm and specific explanation when something goes wrong indicates accountability, which matters here more than any clean record ever.
- For commercial and institutional audiences, replace the star rating instinct with a specific, citable case study or client testimonial. “X rental reviews are advised across Y portfolio per square foot” does more work for this audience than any number of five-star reviews.
None of this has to be flawless. It has to endure a second look, because that second look is exactly what happens before anyone picks up the phone. Our AI marketing team can help you build the kind of review and adoption that lasts.
the next: Once the meaning check is done, how does the AI actually decide who to mention? Read “Why AI Recommends Some Real Estate Brands Over Others”
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