We scanned 8 real estate sites for AI visibility. They scored the worst of any industry.
Buyers and sellers now ask ChatGPT and Google's AI "who's a good realtor in Austin?" So we took 8 real estate agent and brokerage sites in Austin, TX and scored how well an AI assistant can actually understand and recommend each one from its website. This was the lowest-scoring niche in our study.
We ran every homepage through a tool that reads a site the way an AI assistant does and scores it from 0 to 100 on the things a model needs to recommend a business: what it does, where it serves, its services, structured data, contact details, pricing signals, hours, answers to common questions, and trust signals. Real estate has a specific problem, and it showed up immediately.
Built for search widgets, not for reading
Real estate sites are built around one thing: the IDX/MLS property search. That means heavy JavaScript, endless dynamic listings, and surprisingly little plain text describing the agent or brokerage itself. To a buyer it looks busy and active. To an AI trying to understand who this realtor is and why to recommend them, there's often very little to grab. Only two of the seven readable sites had structured data, the worst adoption of any industry we checked, and the scores landed low across the board:
One site scored a 35, the lowest single result anywhere in the study, and another couldn't be read at all. The pattern is the opposite of most niches: not "findable but not chosen," but genuinely hard for a model to understand in the first place.
What AI couldn't tell about these agents
Beyond the property search, an assistant struggled to answer what a client actually decides by: which neighborhoods and price ranges the agent specializes in, whether they focus on buyers or sellers, their track record, and plain answers to "who should I call to sell my house in [area]?" That information is what turns a model from listing a realtor to recommending one, and on most of these sites it lived inside a widget or an image, not in readable text.
The irony: real estate is one of the most competitive local-marketing niches there is, with big ad budgets behind these sites. But spend went into the search tool and the visuals, not into the readable, structured content that decides whether an AI can recommend the agent. It's the clearest case in our study of a fixable gap hiding behind an impressive-looking site.
The takeaway
Real estate has the most to gain. When a whole niche averages a 60 and almost none have structured data, the first agent or brokerage to add clear, readable text about who they are and who they serve, plus JSON-LD schema, jumps far ahead of a field that gave AI almost nothing to work with. The property search can stay exactly as it is; this is about adding readable content around it.
See where your site scores →Part of our AI Visibility study across 11 local industries — read the full report, or the individual studies: plumbers, dentists, HVAC, law firms, med spas, roofers, auto repair, salons, chiropractors, and gyms.
Method: 8 real estate agent and brokerage homepages in Austin, TX, scanned in September 2026 with BotDesk's AI Visibility Checker. A spot-check, not a census; individual businesses are not named.