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

Reading the 120 answers model by model shows how differently the three assistants treat the same seo commercial real estate questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 22.5% (ChatGPT) down to 12.5% (Gemini), a 10-point gap on an identical question set.

Across the 40 seo commercial real estate answers it produced, ChatGPT recommended hiring a professional in 22.5% of them and suggested a DIY approach first 32.5% of the time. It named a specific provider in 5% of answers (about 0.1 distinct providers per answer) and included price or cost information 5% of the time. ChatGPT asked a clarifying question before answering in 30% of cases, warned about red flags or scams in 2.5%, and told the buyer to verify credentials in 2.5%, averaging 733 words per answer. On the remaining cues it told the buyer to check reviews in 0%, pointed to case studies or a portfolio in 7.5%, and framed the choice around local proximity in 7.5%; a selection-criteria checklist appeared in 5% of its answers and a recommendation to gather multiple quotes in 0%.

Across the 40 seo commercial real estate answers it produced, Claude recommended hiring a professional in 17.5% of them and suggested a DIY approach first 15% of the time. It named a specific provider in 7.5% of answers (about 0.2 distinct providers per answer) and included price or cost information 10% of the time. Claude asked a clarifying question before answering in 65% of cases, warned about red flags or scams in 2.5%, and told the buyer to verify credentials in 0%, averaging 340 words per answer. On the remaining cues it told the buyer to check reviews in 0%, pointed to case studies or a portfolio in 20%, and framed the choice around local proximity in 37.5%; a selection-criteria checklist appeared in 12.5% of its answers and a recommendation to gather multiple quotes in 2.5%.

Across the 40 seo commercial real estate answers it produced, Gemini recommended hiring a professional in 12.5% of them and suggested a DIY approach first 20% of the time. It named a specific provider in 10% of answers (about 0.3 distinct providers per answer) and included price or cost information 10% of the time. Gemini asked a clarifying question before answering in 0% of cases, warned about red flags or scams in 7.5%, and told the buyer to verify credentials in 0%, averaging 225 words per answer. On the remaining cues it told the buyer to check reviews in 2.5%, pointed to case studies or a portfolio in 2.5%, and framed the choice around local proximity in 32.5%; a selection-criteria checklist appeared in 12.5% of its answers and a recommendation to gather multiple quotes in 0%.

Taken together, ChatGPT is the assistant most likely to route a seo commercial real estate buyer to a professional (22.5%) and Gemini the least (12.5%). ChatGPT produced the longest answers, at 733 words on average. Specific providers were named most often by Gemini (10%) — even there, roughly one answer in 10 carried a name.

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

• Tells the buyer to check reviews: 0%–2.5% across all three (a 3-point spread).
• Tells the buyer to verify credentials: 0%–2.5% across all three (a 3-point spread).
• Recommends multiple quotes: 0%–2.5% across all three (a 3-point spread).
• Names a specific provider: 5%–10% across all three (a 5-point spread).

Measured question by question, the three assistants coded a response the same way most consistently on "tells the buyer to check reviews" (identical coding in 97.5% of questions) and least consistently on "asks a clarifying question" (27.5%).

Beyond whether to hire, the rubric codes how carefully each assistant protects the seo commercial real estate buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 0.8% of answers on average. Verifying credentials or certifications appeared in 0.8%. Warning about red flags or scams appeared in 4.2%.

On structuring the decision, a selection-criteria checklist showed up in 10% of answers on average and a recommendation to gather multiple quotes in 0.8%. The single least-reproduced protective signal for seo commercial real estate is "tells the buyer to check reviews" at 0.8% on average — the clearest opening for content that supplies it, since the models are not yet reliably surfacing that guidance on their own.

The 40 questions behind every percentage on this page were drawn from real seo commercial real estate (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 seo commercial real estate 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.