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AI recommendations are reshaping lead generation for real estate agents
HousingWire describes a new focus on Answer Engine Optimization and Realtor Generative Engine Optimization, aimed at being recommended by tools like ChatGPT and Gemini rather than only Google.
HousingWire reports that homebuyers and sellers are increasingly treating large language models such as ChatGPT as personal shopping assistants, and agents say that shift is starting to affect the leads they receive. The outlet links the trend to users trusting AI suggestions as the output of personalized, research-driven recommendations that are implicitly “verified” by the system.
The article frames the change as an opportunity for agents to compete for AI visibility through Answer Engine Optimization, which is designed so AI will recommend an agent when people search for local realtors online. It also introduces Realtor Generative Engine Optimization for LLM-driven recommendations, targeting outputs from ChatGPT and Gemini instead of Google’s AI snippet.
HousingWire says both AEO and Realtor GEO rely on processes similar to traditional local real estate SEO, with a “sliding scale” approach from DIY basics to more technical tactics. The piece outlines that some agents, including those serving rural areas or specializing in niche property types, may be able to complete more steps themselves, while others may need outside expertise.
The column positions the rapid adoption of AI recommendations as a competitive reset, with agents losing leads nurtured for years to competitors surfaced by AI. It also notes that AEO and GEO efforts range from foundational digital strategy adjustments to more advanced implementation work, depending on how much visibility an agent wants to pursue.