AI SEO Statistics: Tailors (2026-07 edition)

Reading the 120 answers model by model shows how differently the three assistants treat the same tailors questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 87.5% (ChatGPT) down to 72.5% (Gemini), a 15-point gap on an identical question set.

Across the 40 tailors answers it produced, ChatGPT recommended hiring a professional in 87.5% of them and suggested a DIY approach first 2.5% of the time. It named a specific provider in 2.5% of answers (about 0.1 distinct providers per answer) and included price or cost information 50% of the time. ChatGPT asked a clarifying question before answering in 65% of cases, warned about red flags or scams in 5%, and told the buyer to verify credentials in 0%, averaging 411 words per answer. On the remaining cues it told the buyer to check reviews in 10%, pointed to case studies or a portfolio in 22.5%, and framed the choice around local proximity in 40%; a selection-criteria checklist appeared in 57.5% of its answers and a recommendation to gather multiple quotes in 7.5%.

Across the 40 tailors answers it produced, Claude recommended hiring a professional in 87.5% of them and suggested a DIY approach first 2.5% of the time. It named a specific provider in 5% of answers (about 0.2 distinct providers per answer) and included price or cost information 50% of the time. Claude asked a clarifying question before answering in 37.5% of cases, warned about red flags or scams in 10%, and told the buyer to verify credentials in 0%, averaging 274 words per answer. On the remaining cues it told the buyer to check reviews in 5%, pointed to case studies or a portfolio in 25%, and framed the choice around local proximity in 42.5%; a selection-criteria checklist appeared in 40% of its answers and a recommendation to gather multiple quotes in 17.5%.

Across the 40 tailors answers it produced, Gemini recommended hiring a professional in 72.5% of them and suggested a DIY approach first 0% of the time. It named a specific provider in 12.5% of answers (about 0.3 distinct providers per answer) and included price or cost information 45% of the time. Gemini asked a clarifying question before answering in 0% of cases, warned about red flags or scams in 10%, and told the buyer to verify credentials in 0%, averaging 287 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 5%, and framed the choice around local proximity in 20%; a selection-criteria checklist appeared in 35% of its answers and a recommendation to gather multiple quotes in 0%.

Taken together, ChatGPT is the assistant most likely to route a tailors buyer to a professional (87.5%) and Gemini the least (72.5%). ChatGPT produced the longest answers, at 411 words on average. Specific providers were named most often by Gemini (12.5%) — 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 tailors, where all three landed within a few points of each other:

• Tells the buyer to verify credentials: 0% across all three models.
• Suggests a DIY approach first: 0%–2.5% across all three (a 3-point spread).
• Gives price or cost information: 45%–50% across all three (a 5-point spread).
• Warns about red flags or scams: 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 verify credentials" (identical coding in 100% of questions) and least consistently on "asks a clarifying question" (22.5%).

Beyond whether to hire, the rubric codes how carefully each assistant protects the tailors buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 5.8% of answers on average. Verifying credentials or certifications appeared in 0%. Warning about red flags or scams appeared in 8.3%.

On structuring the decision, a selection-criteria checklist showed up in 44.2% of answers on average and a recommendation to gather multiple quotes in 8.3%. The single least-reproduced protective signal for tailors 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 tailors (home services; 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 tailors 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.