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AI search visibility for real estate agents and brokerages

Buyers and sellers now ask AI which agent knows their area and how to price, buy or sell. The listings are on the portals; the choice of agent is not. Attensira reads those answers every day, and its crew of AI agents drafts the local market and agent pages that get you named. You approve what ships.

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Inbox1 waiting for you
Writer agentWriter filedWaits for you

Draft a neighbourhood page for the area your agents sell in

Tracked question: “estate agent who knows my neighbourhood”

The portals list the homes, but answers about which agent to use name brokerages whose own pages describe the area.

It states prices and selling times your agents supply, so it waits for your approval in every mode.

  • Approve
  • Edit, then approve
  • Decline with a reason
Example · a typical real estate business, not a real one

What does an AI answer say when a seller asks how the local market is moving?

The portals list the homes, but answers about the local market name brokerages whose own pages describe the area. The Writer drafts the neighbourhood page from your experience in Draft mode; prices and selling times wait for your approval.

Buyer question
“how fast are homes selling in my area”
Answer · ChatGPT

Question: how fast are homes selling in my area

ChatGPT answered: For how quickly homes are selling in your area, Agency A has a page on the neighbourhood with its recent sales and how long they took, and Agency B names the agents who cover it, with their reviews.

Sources cited

  1. 1agency-a.example
  2. 2agency-b.example

Not namedYour agency is missing from this ChatGPT answer.

Writer agentWriter · drafts the fix for your approvalExample · a typical real estate buyer question; businesses lettered, not real

Why do AI answers matter in real estate?

Property search happens on the portals, and in the US a listing marketed on your own website must go to the shared MLS within one business day. So listings do not set a brokerage apart. What still does is the agent, and the questions people ask an assistant about agents are about local knowledge, track record and how a sale is run.

Your website triggers the MLS
A listing goes to the MLS within one business day of being marketed in public, so listings are not where you differ. Your area and agent pages are.
Buyers still use agents
Buyers still choose an agent, so the question an assistant answers is who to hire here. That answer is the one to own.
A market of small firms
Answers are local, not national. An agent page per area, naming the streets you cover and what you sold there, gives an assistant something specific to cite.

What does a real reading look like?

The frames above are illustrations for a real estate business. This one is real: our own workspace, for a buyer question that names who is asking, “AI search visibility for agencies”. Engines built those answers from the sites in the chart and cited attensira.com in none of them. Your first reading looks the same, for your buyers’ questions: the sites to get onto, and where you stand.

Answers read
111, ChatGPT and Perplexity
Cited us
0 of 111
Cited inn=111 answers
“AI search visibility for agencies”, ChatGPT and Perplexity · to
NameCited in
wpengine.com55.0%
developers.google.com41.4%
loudface.co40.5%
vitasoft.co36.9%
ahrefs.com35.1%
attensira.comus0.0%
Researcher agentResearcher · Read on the daily runattensira.com workspace, read over the Attensira MCP · · n=111 answers, 21 of 31 days sampled

Where do you start?

The order the work usually goes in for a real estate business.

Measured
Before and after each step, on the same questions
Claims
Wait for your approval in every mode
Unanswered approvals
Expire after 7 days, and nothing changes

How approval works, in the docs

Project plan4 steps
  1. 01

    Pick the questions people ask

    In their words: 'best agent to sell a flat in Leith', 'how long do houses take to sell in Austin'. These are read every day.

    How prompts are tracked
  2. 02

    See who is named and why

    The first reading shows which agents each answer names and which pages, portals or directories it read.

    How competitors are read
  3. 03

    Publish area and agent pages

    Drafts land in your CMS for you to approve, with every price and statistic left for your team to confirm.

    Where the work lands
  4. 04

    Fix profiles elsewhere

    Directory and review-site profiles that decide answers get an update, sent from your mailbox.

    Off-site work
Example · the order the work usually goes in for a real estate business

What does the crew do for a real estate business?

The crew reads the questions buyers and sellers ask, every day, and works on the pages that decide which agent is named. Anything stating a price, a statistic or a result waits for your approval.

Area pages written from experience
The Writer drafts pages for the neighbourhoods you sell in, from facts your agents supply: what sells, how long it takes, what buyers ask. You approve every figure.
Agent pages that answer 'who'
Each agent's areas, property types and languages, stated plainly, so an assistant asked for an agent in a place has a page to name.
Directories and review sites
When an answer leans on an agent directory or review site, the crew drafts the profile update or correction for you to send.
Who is named instead
For each lost question, the Researcher names the agents and brokerages the answer chose and the pages it read.

What should you check first?

A list to run against your own site and listings before any work starts.

Run it against
Your site, and the listings and directories about you
When
Before the first change ships

What makes real estate hard

  • Listing pages repeat the portal and say nothing about the agent.
  • Area knowledge lives in agents' heads, not on the site.
  • Agent profiles on directories and portals disagree with the brokerage site.
Checklist6 checks
  1. 01

    Each area you sell in has a page with facts only you know

  2. 02

    Each agent has a page with areas, property types and languages

  3. 03

    Agent profiles on directories match your site

  4. 04

    Your office address and contact details match everywhere

  5. 05

    Recent sales are described without unverifiable superlatives

  6. 06

    robots.txt does not block the search crawlers of ChatGPT, Claude or Perplexity

Example · a list to run for a real estate business before any work starts

Questions about AI visibility in real estate

Does putting a listing on our own website trigger anything?
In the US, yes. NAR's Clear Cooperation Policy counts brokerage website displays as public marketing, and a publicly marketed listing must go to the MLS within one business day.
If listings are on the portals, what is our site for?
The agent. Listings are shared, but 88% of buyers in NAR's 2025 report bought through an agent or broker. Pages about your areas and your agents are what an assistant can name you from.
Is real estate a big-brand market in AI answers?
Less than most. Across about 499,000 US establishments, answers are about who knows this area, which a small brokerage can state better than a national one.
Will Attensira publish prices or statistics for us?
Only after you approve them. New workspaces start in Draft, and anything stating a price, a number or a competitor's name waits for your yes in every mode.
Is pricing different for real estate?
No. Every industry uses the same plans and credits; the crew spends credits as it works, up to the monthly budget you set.

Where do these facts come from?

  1. NAR's MLS Clear Cooperation Policy requires that within one business day of marketing a property to the public, the listing broker must submit the listing to the MLS for cooperation with other MLS participants.

    nar.realtor · read · changes often, check the source

    The source's own words
    “Within one (1) business day of marketing a property to the public, the listing broker must submit the listing to the MLS for cooperation with other MLS participants.”
  2. NAR's Clear Cooperation Policy defines public marketing to include flyers displayed in windows, yard signs, digital marketing on public facing websites, brokerage website displays including IDX and VOW, email blasts, multi-brokerage listing sharing networks, and applications available to the general public.

    nar.realtor · read · changes often, check the source

    Read it at the source
  3. NAR's 2025 Profile of Home Buyers and Sellers, covering transactions between July 2024 and June 2025, reports that 88 percent of buyers purchased their home through an agent or broker.

    nar.realtor · read

    The source's own words
    “Eighty-eight percent of buyers purchased their home through an agent or broker.”
  4. US real estate and rental and leasing had 498,881 private establishments in Q1 2026, plus 1,687 local, 35 state and 7 federal, preliminary (QCEW). In a separate series (CES), it had about 2.4 million employees in July 2026.

    bls.gov · read · changes often, check the source

    Read it at the source

Whatever it takes to win the answer.

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