Use case

AEO for real estate companies

Be the brokerage an AI assistant names when someone asks how to buy, sell, or find an agent in your market.

Buyers and sellers now open a research phase with an assistant rather than a portal. What is the market doing in this neighbourhood, what does a listing agent actually charge, how long do homes sit — these are the questions that precede any contact with an agent, and they are answered before you enter the picture.

Real estate is unusual in that the big portals dominate transactional search but have little to say about local specifics. That gap is where a brokerage with genuine market knowledge can get cited: neighbourhood-level analysis, real timelines, and honest fee explanations are exactly what a general-purpose portal page cannot provide.

Prompts that matter here

  • best real estate agent in [city]
  • is now a good time to buy in [neighborhood]
  • how much do realtors charge in [state]
  • what are homes selling for in [area]

What to do

  1. 1

    Own the neighbourhood question

    Portals cover cities; almost nobody covers neighbourhoods well. Publish current, specific analysis at that level and you become the citable source for questions the portals answer vaguely.

  2. 2

    Answer the commission question directly

    Fee structure is one of the most-asked and least-answered questions in the category. A clear, current explanation of what you charge and what it covers gets cited precisely because so few brokerages state it plainly.

  3. 3

    Date and refresh your market data

    Engines discount stale market claims heavily, and real estate data ages in weeks. Visible publication dates and a real refresh cadence are what keep a page in the answer set.

  4. 4

    Track agent-level and brokerage-level prompts separately

    'Best agent in [city]' and 'best brokerage in [city]' produce different answers from different sources. Both matter, and improving one does not move the other.

Where Elmo fits

Elmo tracks neighbourhood, city, and agent-level prompts side by side so you can see which markets you own and which are still owned by the portals, with the full history kept on infrastructure you control.

/ FAQ

Frequently Asked Questions

Can real estate brokerages outrank portals in AI answers?
On broad transactional queries, rarely. On neighbourhood-level and process questions, routinely — portals publish at city scale and engines prefer the source that answers the specific question, which is where local brokerages have a genuine advantage.
How often does real estate AI visibility change?
Faster than most categories, because the underlying market data changes monthly and engines strongly prefer recent sources. Firms that refresh market analysis on a schedule tend to hold citations that one-off pages lose within a quarter.

Ready to track your AI visibility?

Deploy Elmo in minutes and start monitoring how ChatGPT, Claude, and Google AI Overviews talk about your brand. Open source, self-hosted, free.