See how AI recommends your real estate business
Home buyers and sellers ask AI assistants for an agent by neighborhood, price range, and specialty. Track your visibility and win the recommendations that matter.
Why real estate agents lose AI recommendations
Three gaps we see in nearly every real estate audit
Neighborhood-level content beats city-level content in AI answers.
Buyer vs seller vs investor prompts return very different agents.
Team pages, individual bio depth, and transaction volume all influence recommendations.
Prompts we track for real estate agents
The exact questions your customers ask AI assistants
We generate real estate-specific prompts and run them against ChatGPT, Gemini, and Claude on a schedule. Here's a starter set:
Best real estate agent in {city}
First-time home buyer agent in {city}
Listing agent in {city} for luxury homes
Investment property realtor in {city}
Realtor who specializes in {neighborhood}
Relocation realtor in {city}
Top-selling agent in {city}
Evidence-based recommendations
A real example from a real estate audit
Every recommendation we make is verified against your actual website, Google Business Profile, and competitor footprint — no generic best-practice checklists.
Publish neighborhood guides with schema
AI assistants heavily favor agents with 800+ word neighborhood guides — schools, walkability, price trends — over agents with only a city landing page. Two competitors have guides for 8 neighborhoods each; you have a single city page.
What's included
Everything you need to win AI recommendations for real estate agents
- AI Visibility Score across ChatGPT, Gemini, and Claude
- Real estate prompt library, tuned to your services and locations
- Local competitor benchmarking and share-of-voice
- Evidence-based recommendations verified against your site and GBP
- Weekly rescans and trend tracking
- Monthly PDF reports you can share or print
FAQ for real estate agents
Do brokerages or individual agents get recommended?
Both, depending on prompt. Agent-name prompts return individuals; 'best realtor in {city}' often returns a mix. Individual agents with strong personal branding tend to over-index.
How do sold-listing pages help?
They provide neighborhood + price-point relevance signals AI models use. Keep them indexable and detailed.
What about Zillow / Realtor.com?
Directories help but don't replace owned content. Agents dependent solely on portal profiles lose to agents with their own neighborhood content.
See where your real estate business ranks with AI
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