AI SEO Statistics: Real Estate Agent (2026-07 edition)

Reading the 45 answers model by model shows how differently the three assistants treat the same real estate agent questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 80% (ChatGPT) down to 40% (Gemini), a 40-point gap on an identical question set.

Across the 15 real estate agent answers it produced, ChatGPT recommended hiring a professional in 80% of them and suggested a DIY approach first 6.7% of the time. It named a specific provider in 6.7% of answers (about 0.3 distinct providers per answer) and included price or cost information 6.7% of the time. ChatGPT asked a clarifying question before answering in 40% of cases, warned about red flags or scams in 40%, and told the buyer to verify credentials in 6.7%, averaging 538 words per answer. On the remaining cues it told the buyer to check reviews in 26.7%, pointed to case studies or a portfolio in 33.3%, and framed the choice around local proximity in 33.3%; a selection-criteria checklist appeared in 46.7% of its answers and a recommendation to gather multiple quotes in 40%.

Across the 15 real estate agent answers it produced, Claude recommended hiring a professional in 73.3% of them and suggested a DIY approach first 0% of the time. It named a specific provider in 0% of answers (about 0 distinct providers per answer) and included price or cost information 6.7% of the time. Claude asked a clarifying question before answering in 20% of cases, warned about red flags or scams in 40%, and told the buyer to verify credentials in 6.7%, averaging 317 words per answer. On the remaining cues it told the buyer to check reviews in 26.7%, pointed to case studies or a portfolio in 26.7%, and framed the choice around local proximity in 40%; a selection-criteria checklist appeared in 40% of its answers and a recommendation to gather multiple quotes in 26.7%.

Across the 15 real estate agent answers it produced, Gemini recommended hiring a professional in 40% of them and suggested a DIY approach first 0% of the time. It named a specific provider in 13.3% of answers (about 0.4 distinct providers per answer) and included price or cost information 13.3% of the time. Gemini asked a clarifying question before answering in 0% of cases, warned about red flags or scams in 40%, and told the buyer to verify credentials in 0%, averaging 284 words per answer. On the remaining cues it told the buyer to check reviews in 0%, pointed to case studies or a portfolio in 0%, and framed the choice around local proximity in 20%; a selection-criteria checklist appeared in 26.7% of its answers and a recommendation to gather multiple quotes in 6.7%.

Taken together, ChatGPT is the assistant most likely to route a real estate agent buyer to a professional (80%) and Gemini the least (40%). ChatGPT produced the longest answers, at 538 words on average. Specific providers were named most often by Gemini (13.3%) — even there, roughly one answer in 8 carried a name.

On other behaviors the three models move almost in lockstep — the points of near-consensus for real estate agent, where all three landed within a few points of each other:

• Warns about red flags or scams: 40% across all three models.
• Gives price or cost information: 6.7%–13.3% across all three (a 7-point spread).
• Suggests a DIY approach first: 0%–6.7% across all three (a 7-point spread).
• Tells the buyer to verify credentials: 0%–6.7% across all three (a 7-point spread).

Measured question by question, the three assistants coded a response the same way most consistently on "suggests a DIY approach first" (identical coding in 93.3% of questions) and least consistently on "warns about red flags or scams" (26.7%).

Beyond whether to hire, the rubric codes how carefully each assistant protects the real estate agent buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 17.8% of answers on average. Verifying credentials or certifications appeared in 4.5%. Warning about red flags or scams appeared in 40%.

On structuring the decision, a selection-criteria checklist showed up in 37.8% of answers on average and a recommendation to gather multiple quotes in 24.5%. The single least-reproduced protective signal for real estate agent is "tells the buyer to verify credentials" at 4.5% on average — the clearest opening for content that supplies it, since the models are not yet reliably surfacing that guidance on their own.

The 15 questions behind every percentage on this page were drawn from real real estate agent (real estate; buyer hiring decisions for this specific service) buyer journeys. Each was put to all 3 models once, with identical wording, so the rates above describe how the assistants handled this exact real estate agent question set — not a general prior or a hand-picked subset. The full list is shown earlier on this page; the coded percentages are what those specific questions produced.