When clients ask AI about your local market, you should be the source.
"What's the housing market like in [neighborhood]?" "Who's a good agent for first-time buyers in [city]?" These queries now route through AI before they ever reach you. Be the cited expert.
Real estate is local knowledge in long form.
AI engines love agents who publish substantive, local-knowledge content. Market trends, neighborhood explainers, school district data, first-time buyer guides — these are exactly the format AI engines extract and cite.
RealEstateAgent + LocalBusiness schema
Proper schema for solo agents and teams, with service area, specialties, and licensing information.
Neighborhood guide pages
For each neighborhood you specialize in: market data, school information, lifestyle context, recent sales. Substantive enough to earn citations, not thin geo-spam.
Monthly market updates
Recurring market analysis with real local data. AI engines reward recurring expertise; market updates are perfect content for this.
Buyer + seller guide content
First-time buyer guides, downsizing playbooks, investment property explainers — built to answer the questions clients actually ask AI.
Agent profile + credentials
License, designations, years of experience, transactions closed. The authority signals AI engines weight when picking which agent to mention.
Review + testimonial integration
Zillow, Realtor.com, and Google review signals integrated into your site with proper schema so AI engines pick them up.
Most agents start on Foundation, upgrade as they scale.
Solo agents and small teams both benefit from Reffed Watch ($29/mo) for tracking visibility across all 6 AI assistants weekly. Foundation (Q4) will add auto-fix capability.
Find out if AI recommends you.
Free audit. Tests local agent and neighborhood queries across major AI engines.