When buyers and sellers ask AI for a realtor, get recommended
First-time buyers, downsizers, relocators, investors: every kind of client now researches agents through AI. Recometric makes sure your name is the answer.
Patients, clients and customers now ask AI first
When someone in your service area asks ChatGPT, Gemini, Perplexity or Claude for a recommendation, one of three things happens: a competitor gets named, a generic directory is cited, or your business is recommended. Recometric measures which answer they give and shows you what to improve.
Niche positioning
‘Top realtor in [city]’ is impossible. ‘Top first-time buyer specialist in [neighborhood]’ is winnable. AI rewards niche.
Listings vs personal brand
AI distinguishes between brokerage signals and individual agent signals. Both need to be optimized: separately.
Local market expertise
Hyper-local content (neighborhood guides, school district overviews, market reports) is the highest-leverage realtor content for AI.
What makes AI recommend a real estate practice
AI engines weight different signals for different industries. These are the levers that move the needle for realtors.
Niche-specific review language
Reviews that mention ‘first-time buyer’, ‘relocation’, ‘downsizing’, ‘investment’ train AI to match niche prompts.
Zillow, Realtor.com, Redfin, Trulia
Vertical real estate platforms are major AI sources. Complete agent profiles with reviews and listings are baseline.
Designations and recognitions
CRS, ABR, SRES, top-producer recognitions, brokerage ‘Top Agent’ awards. Surface these everywhere.
RealEstateAgent + Service + FAQ schema
Deploy RealEstateAgent schema with areaServed, knowsLanguage and aggregate Review.
Neighborhood + market guides
Hyper-local content (neighborhood guides, school overviews, monthly market updates) is realtor content gold.
Service-area + niche pages
Pages for each neighborhood you specialize in, plus dedicated pages per niche (first-time buyers, relocation, etc.).
The prompts your future customers are asking
Each paid scan runs three personalized customer prompts across ChatGPT, Gemini, Perplexity and Claude, using the same wording for 12 comparable live checks.
Best realtor in [neighborhood] for first-time buyers
Realtor in [city] who specializes in relocation
Top selling agent in [neighborhood]
Real estate agent in [city] for investment properties
Realtor who knows [school district] in [city]
Real estate agent in [city] with bilingual support
Downsizing specialist realtor in [neighborhood]
New construction realtor in [city]
The 90-day AI visibility plan for realtors
Pick a niche
Pick 1-2 niches and 1-3 neighborhoods. Generalists lose to specialists in AI.
Niche + neighborhood pages
Publish a deep page per niche and per neighborhood. Real local detail, not template content.
Vertical profiles
Complete Zillow, Realtor.com, Redfin and Trulia profiles. Active reviews and current listings.
Schema + designations
Deploy RealEstateAgent + Service + FAQ schema. Surface designations on About and in schema.
Authority building
Get quoted in local press on housing trends, host neighborhood events, partner with relocation companies.
Track + iterate
Monthly Recometric scan. Double down on prompt clusters where you're winning.
What good looks like
Neighborhood guide as moat
A 2,500-word ‘Living in [Neighborhood]’ page with school data, market trends and local features earns AI citations for years.
Niche reviews compound
An agent who specifically asks first-time buyer clients to mention ‘first-time buyer’ in reviews wins those prompts within 90 days.
See if AI recommends your real estate practice
Run a free Recometric scan and get an AI visibility grade plus a focused first fix for realtors.
Frequently asked questions
AI visibility in other industries
The same measurement, written for the questions each trade actually gets asked.