AI SEO Statistics: Apartment Website (2026-07 edition)

Reading the 120 answers model by model shows how differently the three assistants treat the same apartment website questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 42.5% (ChatGPT) down to 27.5% (Claude), a 15-point gap on an identical question set.

Across the 40 apartment website answers it produced, ChatGPT recommended hiring a professional in 42.5% of them and suggested a DIY approach first 27.5% of the time. It named a specific provider in 17.5% of answers (about 0.8 distinct providers per answer) and included price or cost information 20% of the time. ChatGPT asked a clarifying question before answering in 27.5% of cases, warned about red flags or scams in 10%, and told the buyer to verify credentials in 0%, averaging 627 words per answer. On the remaining cues it told the buyer to check reviews in 7.5%, pointed to case studies or a portfolio in 12.5%, and framed the choice around local proximity in 10%; a selection-criteria checklist appeared in 25% of its answers and a recommendation to gather multiple quotes in 5%.

Across the 40 apartment website answers it produced, Claude recommended hiring a professional in 27.5% of them and suggested a DIY approach first 20% of the time. It named a specific provider in 30% of answers (about 2 distinct providers per answer) and included price or cost information 12.5% of the time. Claude asked a clarifying question before answering in 52.5% of cases, warned about red flags or scams in 7.5%, and told the buyer to verify credentials in 0%, averaging 303 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 12.5%, and framed the choice around local proximity in 12.5%; a selection-criteria checklist appeared in 32.5% of its answers and a recommendation to gather multiple quotes in 5%.

Across the 40 apartment website answers it produced, Gemini recommended hiring a professional in 30% of them and suggested a DIY approach first 12.5% of the time. It named a specific provider in 32.5% of answers (about 0.9 distinct providers per answer) and included price or cost information 12.5% of the time. Gemini asked a clarifying question before answering in 0% of cases, warned about red flags or scams in 2.5%, and told the buyer to verify credentials in 0%, averaging 258 words per answer. On the remaining cues it told the buyer to check reviews in 0%, pointed to case studies or a portfolio in 2.5%, and framed the choice around local proximity in 5%; a selection-criteria checklist appeared in 22.5% of its answers and a recommendation to gather multiple quotes in 0%.

Taken together, ChatGPT is the assistant most likely to route an apartment website buyer to a professional (42.5%) and Claude the least (27.5%). ChatGPT produced the longest answers, at 627 words on average. Specific providers were named most often by Gemini (32.5%) — even there, roughly one answer in 3 carried a name.

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

• Tells the buyer to verify credentials: 0% across all three models.
• Recommends multiple quotes: 0%–5% across all three (a 5-point spread).
• Gives price or cost information: 12.5%–20% across all three (a 8-point spread).
• Tells the buyer to check reviews: 0%–7.5% across all three (a 8-point spread).

Measured question by question, the three assistants coded a response the same way most consistently on "tells the buyer to verify credentials" (identical coding in 100% of questions) and least consistently on "asks a clarifying question" (37.5%).

Beyond whether to hire, the rubric codes how carefully each assistant protects the apartment website buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 3.3% of answers on average. Verifying credentials or certifications appeared in 0%. Warning about red flags or scams appeared in 6.7%.

On structuring the decision, a selection-criteria checklist showed up in 26.7% of answers on average and a recommendation to gather multiple quotes in 3.3%. The single least-reproduced protective signal for apartment website is "tells the buyer to verify credentials" at 0% 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 apartment website (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 apartment website 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.