AI SEO Statistics: SEO Marketing for Deck Builder (2026-07 edition)

Reading the 120 answers model by model shows how differently the three assistants treat the same seo marketing for deck builder questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 45% (ChatGPT) down to 17.5% (Claude), a 28-point gap on an identical question set.

Across the 40 seo marketing for deck builder answers it produced, ChatGPT recommended hiring a professional in 45% of them and suggested a DIY approach first 45% of the time. It named a specific provider in 0% of answers (about 0 distinct providers per answer) and included price or cost information 10% of the time. ChatGPT asked a clarifying question before answering in 20% of cases, warned about red flags or scams in 7.5%, and told the buyer to verify credentials in 0%, averaging 671 words per answer. On the remaining cues it told the buyer to check reviews in 5%, pointed to case studies or a portfolio in 22.5%, and framed the choice around local proximity in 17.5%; a selection-criteria checklist appeared in 12.5% of its answers and a recommendation to gather multiple quotes in 0%.

Across the 40 seo marketing for deck builder answers it produced, Claude recommended hiring a professional in 17.5% of them and suggested a DIY approach first 37.5% 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 12.5% of the time. Claude asked a clarifying question before answering in 50% of cases, warned about red flags or scams in 27.5%, and told the buyer to verify credentials in 0%, averaging 315 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 30%, and framed the choice around local proximity in 47.5%; a selection-criteria checklist appeared in 25% of its answers and a recommendation to gather multiple quotes in 0%.

Across the 40 seo marketing for deck builder answers it produced, Gemini recommended hiring a professional in 22.5% of them and suggested a DIY approach first 22.5% 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 15% of the time. Gemini asked a clarifying question before answering in 0% of cases, warned about red flags or scams in 12.5%, and told the buyer to verify credentials in 0%, averaging 264 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 22.5%, and framed the choice around local proximity in 50%; a selection-criteria checklist appeared in 25% of its answers and a recommendation to gather multiple quotes in 0%.

Taken together, ChatGPT is the assistant most likely to route a seo marketing for deck builder buyer to a professional (45%) and Claude the least (17.5%). ChatGPT produced the longest answers, at 671 words on average. Specific providers were named most often by Claude (7.5%) — even there, roughly one answer in 13 carried a name.

On other behaviors the three models move almost in lockstep — the points of near-consensus for seo marketing for deck builder, 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% across all three models.
• Gives price or cost information: 10%–15% across all three (a 5-point spread).
• Tells the buyer to check reviews: 2.5%–7.5% 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 "mentions local proximity" (35%).

Beyond whether to hire, the rubric codes how carefully each assistant protects the seo marketing for deck builder buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 5% of answers on average. Verifying credentials or certifications appeared in 0%. Warning about red flags or scams appeared in 15.8%.

On structuring the decision, a selection-criteria checklist showed up in 20.8% of answers on average and a recommendation to gather multiple quotes in 0%. The single least-reproduced protective signal for seo marketing for deck builder 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 seo marketing for deck builder (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 seo marketing for deck builder 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.