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THE FUTURE OF INSTRUCTIONS: Why the Next Instruction May Be Won Before Someone Even Visits Your Website.

  • Writer: Jaimie Beers
    Jaimie Beers
  • Jul 5
  • 4 min read



Estate agency has always been a battle for the attention that leads to listings and instructions.

First it was the high street window. Then came the portals, then search engines and then social media.

Each new wave changed how buyers and sellers discovered, researched, and ultimately chose who to trust with one of the most important decisions of their lives.


The agencies that adapted early often won. The agencies that didn't, eventually found themselves fighting harder, spending more, and wondering how they bridge the gap that had opened between them and their competitors.


Today, another change is already underway and consumers and more importantly, our potential clients are amending their behaviour.


Across the world, millions of consumers are beginning to use AI assistants such as OpenAI's ChatGPT, Anthropic's Claude, and Google Gemini to research businesses, compare local services, plan moves, and increasingly, decide who they trust before ever clicking on a website or picking up a phone.


Instead of typing: "Estate agents in Walthamstow." Consumers are beginning to ask detailed questions: "Who is the best agent for Victorian family homes near me?" or "Who sells the most homes like mine?" And when those questions are asked, something important happens. Potential clients aren't given a list of links, they are not left to make their own mind up. They are given names of agents, answers and reasons for why they are the most suitable.


The customer now rarely visits even page one of Google. They never click ten blue links. They simply trust the answer and the reasoning they are given. For estate agency owners, that should raise one very uncomfortable question.


When AI is asked who to trust in your market… can it actually see your business and how good your business really is?


The Websites We Built for the Last Battle

As an industry, we have spent the last twenty years learning how to win online. We built visually beautiful websites. We invested in SEO. We wrote endless area guides and filled our sites with testimonials. It worked, because humans rewarded design, pleasing aesthetics and emotive copy and search engines rewarded relevance.


But AI does not browse the internet like a human, it does not get emotionally pulled in by your photography nor does it care how slick your homepage feels. It looks for something very different, it looks for structured, trusted, machine-readable data.


It wants facts and proof, history and consistency. Signals that can be understood, compared, referenced, and trusted. This is where many agencies may have a problem, because some of their most valuable data is not on their website at all. It sits hidden inside CRMs and spreadsheets. Things like sales records and past performance data. This is high value market intelligence that is often unique to your business. Years, sometimes decades, of key hyper-local knowledge that machines simply cannot see.


What We Are Seeing When Agents Leverage Their Data

This question, and my experience of owning an agency and knowing the data we hold, led me to develop a data marketing product directly aimed at making an agency's expertise visible to AI. The Stow Brothers, one of London's best-known independent estate agency businesses, led by Kenny Goad and his brother Andrew, were among the first to sign up.


The problem we needed to solve was staring us in the face. Could an estate agency make its expertise visible not just to people or search engines, but to the AI systems that are now shaping how consumers research and choose?


Over a 60-day period, historical sales and lettings data, office intelligence, market insights, and operational data were transformed into structured, machine-readable pages designed specifically for AI discovery.


The goal was not to generate leads. The goal was to answer a bigger question. Would the machines come? Could we get them to engage with that data when users asked relevant questions?


The Early Indicators

Within the first 60 days, the early signals were difficult to ignore.

Over 3,000 verified AI crawler visits were recorded, with activity from OpenAI, Google, Microsoft, Anthropic, and specialist machine crawlers. Critically, these were not one-off indexing visits. The crawlers returned repeatedly across office, listing, and market intelligence pages. Most significantly, a proportion of these were classified as active user query crawls, a crawl behaviour consistent with AI systems pulling data in real time to answer a specific user question, rather than simply building an index.


We cannot yet verify at what point in a user's journey that data is being surfaced or in what form. What we can say is that the pattern of crawl behaviour, the return visits, the query-type activity, and the breadth of AI systems involved, are strong leading indicators that this data is being drawn on when AI systems research the local market. That is a meaningful shift from invisibility of this data.


As Kenny Goad, Managing Director of The Stow Brothers, said after reviewing the early results: "We knew that this was something we needed to stay ahead of, and seeing these results so quickly makes me feel we are well placed for any changes."


For me, this flags something much bigger than a new marketing trend. It shows the beginning of a new fight for instructions. One where visibility is no longer decided by portals, boards, Google rankings, or paid social campaigns. But by whether machines can research, understand, trust, and recommend your business.


If what we believe is right, the next generation of winning estate agencies may not be the best marketed, they may be the ones best understood by machines.

And if that is true… the next instruction may be won long before the phone rings.


Jaimie Beers


 

 
 
 

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