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GEO for real estate & agents: Get recommended by ChatGPT

Anyone selling a flat or buying a house now asks an assistant for an agent first, and gets two or three names instead of a results list.

"Which estate agent in Leeds is good for selling a two-bedroom flat?" — that is how the search for an agent starts now. Not with ten blue links, but with an answer that names two or three firms and says why: neighbourhood, specialism, reviews. Whoever is in that answer gets the enquiry. Whoever is missing is not rated worse — they never enter the consideration at all.

How owners and buyers actually ask

The second question assistants get constantly is more direct still: "How much is my flat in Leeds worth?" It sounds like a sum, but it almost always ends in a recommendation — the assistant explains the price range and then names someone who can value the property. That is the exact moment at which your office is either part of the answer or not. The same pattern shows up in "can I buy property here as a foreigner?" and in questions about the market outlook for a particular district: first the explanation, then the name. Most of these questions never contain the word "agent", and all of them end at one. Nobody scrolls afterwards, because in a chat window there is nothing to scroll to. The two or three firms in the answer are the shortlist, and everything else is a website that was never opened.

Why the middle layer hits agents hardest

For twenty years there has been a layer between you and your customer that few other industries carry: the portals. People looking for property look on a portal, not on an agency website. For a long time that was an advantage, because demand arrived bundled. In AI search the same fact turns into a disadvantage. Assistants prefer large, well-structured, frequently updated sources, and that describes the portals and marketplaces precisely. Your listing appears there; your name as the listing agent often appears in small print, or as a logo the machine cannot read. So when an assistant describes the market in a district, it quotes the portal page rather than yours — and when it recommends an agent, it recommends whoever the portal made legible. On top of that, property questions are answered per location. An agency that never names the districts it works in reads as "nearby" rather than "local", and that distinction is what decides the mention. The stock of listings you rent from the portals is not an asset here. What counts is what a machine can read on your own domain: which areas you cover, which property types you handle, who values, who lets, who sells.

What AI Rank Suite measures

The visibility check is a measurement, not a piece of content. The plugin puts 25 questions to the assistants in the assistant's own voice — everyday phrasing, with your city, your property types and your business name filled in — and records for every answer whether your business is named. That produces a score and, more usefully, a list: which questions you appear in, which you do not, who gets named instead of you, and which pages the answers were built from. Everything runs on your own API key, so there are no credits to buy and no quota to run out of; the run repeats as often as you like, and the history shows whether anything is actually moving.

The ready-made real estate pack

So that you do not start from an empty form, AI Rank Suite ships an industry pack for real estate. It sets your business entity to RealEstateAgent and fills in the subjects you should be known for: residential sales, property valuation, lettings, local market analysis. It adds Residence for property pages and an FAQPage block that answers the four questions people ask before any first contact:

  • "What is your commission?"
  • "How long does a sale usually take?"
  • "Do you handle rentals as well as sales?"
  • "How do you value a property?"

And it pre-fills the prompt set for the measurement with the phrasings this industry actually gets asked. One click applies all three parts at once — the entity with its subjects, the prompt set, and the FAQ block. After that you edit what does not fit. The commission figure is yours to state and nobody else's; you know your districts better than any default does; a question you never get asked you simply delete, and the one you get every week you add. The pack is a starting point, not a template to leave standing.

Measure first, then decide

You do not have to believe that AI search matters for your office — you can look. The free edition sets up in about a minute and needs no AI key at all: llms.txt, schema, crawler control, the industry pack. Pro adds the AI features, meaning the 25-question run, the history and the writing tools, for $99 a year; if you look after several branches or client sites, Agency covers unlimited sites for $199 a year. What we cannot promise you is a place in an answer. No tool can promise that, and anyone who does is selling you something else. What you get is the finding: whether you appear, who is named instead, and which page is missing for it. Everything after that is a decision rather than a guess — and a decision you can check again next month with the same 25 questions.

The "Real estate" pack

Property questions are answered per neighbourhood. Naming the districts you work in is the difference between being local and being nearby.

Questions it measures with

  • „best estate agent in %city%"
  • „how much is my flat in %city% worth"
  • „buying property in %city% as a foreigner"
  • „%city% property market outlook"
  • „is %brand% a reputable agency"

FAQ block, pre-written

  • What is your commission?
  • How long does a sale usually take?
  • Do you handle rentals as well as sales?
  • How do you value a property?

Schema it writes

  • RealEstateAgent
  • Residence
  • FAQPage
For agencies

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