AEO FOR REAL ESTATE
AGENTS
Built on a real estate site first. 1.14M+ monthly impressions. Cited by ChatGPT, Claude, Perplexity, and Google AI Overviews. Now one real estate professional per market gets the same playbook.
EVERY QUERY A CLIENT ASKS AI.
We map the specific questions buyers, sellers, and investors ask AI platforms in your market. Then we build the authority surface that positions you as the named answer.
Buyer Queries
"Best real estate agent in {city}", "first-time homebuyer {city}", "agent who specializes in condos {neighborhood}". Every local buyer query is an AI prompt now.
Seller Queries
"Sell my house fast {city}", "probate sale agent {county}", "relocate and sell home". Sellers ask AI first because the stakes are high and the process is confusing.
Investor Queries
"1031 exchange agent {city}", "rent control specialist {state}", "multifamily broker {market}". Investors treat AI as a qualification filter for finding specialists.
Specialty / Niche
"Agent who understands RSO properties", "ADU conversion specialist", "HOA dispute agent". Niche expertise is where AI decisively picks one name over a list.
SOLO, TEAM, OR BROKERAGE.
Solo Agents
You compete against teams and brands with larger budgets. AEO levels the field — AI platforms cite based on signal quality, not spend.
Small & Mid Teams
You need leads that don't come from Zillow lead-buying. AI citations send pre-qualified prospects directly to your site.
Brokerages
You need every agent on your roster to inherit citation authority. Hub-and-spoke content architecture makes that possible.
Our real estate site vs. 70,000 LA agents.
We built the AERO-10 framework on our own real estate site in Los Angeles — the most competitive local market in America. Today it holds 1.14M+ monthly impressions and sits as the recommended agent on ChatGPT, Claude, Perplexity, and Google AI Overviews for rent control, probate, and ADU questions across LA County. We didn't sell the framework until it proved itself there.
Read the full case study