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

Reading the 45 answers model by model shows how differently the three assistants treat the same real estate company questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 73.3% (ChatGPT) down to 53.3% (Gemini), a 20-point gap on an identical question set.

Across the 15 real estate company answers it produced, ChatGPT recommended hiring a professional in 73.3% of them and suggested a DIY approach first 6.7% of the time. It named a specific provider in 6.7% of answers (about 0.1 distinct providers per answer) and included price or cost information 13.3% of the time. ChatGPT asked a clarifying question before answering in 46.7% of cases, warned about red flags or scams in 33.3%, and told the buyer to verify credentials in 26.7%, averaging 570 words per answer. On the remaining cues it told the buyer to check reviews in 33.3%, pointed to case studies or a portfolio in 20%, and framed the choice around local proximity in 60%; a selection-criteria checklist appeared in 60% of its answers and a recommendation to gather multiple quotes in 26.7%.

Across the 15 real estate company answers it produced, Claude recommended hiring a professional in 60% of them and suggested a DIY approach first 6.7% of the time. It named a specific provider in 0% of answers (about 0 distinct providers per answer) and included price or cost information 13.3% of the time. Claude asked a clarifying question before answering in 53.3% of cases, warned about red flags or scams in 33.3%, and told the buyer to verify credentials in 13.3%, averaging 312 words per answer. On the remaining cues it told the buyer to check reviews in 33.3%, pointed to case studies or a portfolio in 20%, and framed the choice around local proximity in 53.3%; a selection-criteria checklist appeared in 60% of its answers and a recommendation to gather multiple quotes in 33.3%.

Across the 15 real estate company answers it produced, Gemini recommended hiring a professional in 53.3% of them and suggested a DIY approach first 6.7% of the time. It named a specific provider in 13.3% of answers (about 0.3 distinct providers per answer) and included price or cost information 40% of the time. Gemini asked a clarifying question before answering in 0% of cases, warned about red flags or scams in 33.3%, and told the buyer to verify credentials in 0%, averaging 251 words per answer. On the remaining cues it told the buyer to check reviews in 0%, pointed to case studies or a portfolio in 6.7%, and framed the choice around local proximity in 26.7%; a selection-criteria checklist appeared in 40% 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 company buyer to a professional (73.3%) and Gemini the least (53.3%). ChatGPT produced the longest answers, at 570 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 company, where all three landed within a few points of each other:

• Suggests a DIY approach first: 6.7% across all three models.
• Warns about red flags or scams: 33.3% across all three models.
• Names a specific provider: 0%–13.3% across all three (a 13-point spread).
• Mentions case studies or portfolio: 6.7%–20% across all three (a 13-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 100% of questions) and least consistently on "mentions local proximity" (13.3%).

Beyond whether to hire, the rubric codes how carefully each assistant protects the real estate company buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 22.2% of answers on average. Verifying credentials or certifications appeared in 13.3%. Warning about red flags or scams appeared in 33.3%.

On structuring the decision, a selection-criteria checklist showed up in 53.3% of answers on average and a recommendation to gather multiple quotes in 22.2%. The single least-reproduced protective signal for real estate company is "tells the buyer to verify credentials" at 13.3% 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 company (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 company 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.