AI SEO Statistics: Artificial Grass (2026-07 edition)

Reading the 120 answers model by model shows how differently the three assistants treat the same artificial grass questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 47.5% (ChatGPT) down to 12.5% (Gemini), a 35-point gap on an identical question set.

Across the 40 artificial grass answers it produced, ChatGPT recommended hiring a professional in 47.5% of them and suggested a DIY approach first 22.5% 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 57.5% of cases, warned about red flags or scams in 5%, and told the buyer to verify credentials in 12.5%, averaging 514 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 10%, 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 7.5%.

Across the 40 artificial grass answers it produced, Claude recommended hiring a professional in 35% of them and suggested a DIY approach first 10% of the time. It named a specific provider in 2.5% of answers (about 0.2 distinct providers per answer) and included price or cost information 7.5% of the time. Claude asked a clarifying question before answering in 60% of cases, warned about red flags or scams in 2.5%, and told the buyer to verify credentials in 5%, averaging 281 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 10%; a selection-criteria checklist appeared in 30% of its answers and a recommendation to gather multiple quotes in 7.5%.

Across the 40 artificial grass answers it produced, Gemini recommended hiring a professional in 12.5% of them and suggested a DIY approach first 2.5% of the time. It named a specific provider in 5% of answers (about 0.1 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 5%, and told the buyer to verify credentials in 0%, averaging 286 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 7.5%; a selection-criteria checklist appeared in 17.5% of its answers and a recommendation to gather multiple quotes in 0%.

Taken together, ChatGPT is the assistant most likely to route an artificial grass buyer to a professional (47.5%) and Gemini the least (12.5%). ChatGPT produced the longest answers, at 514 words on average. Specific providers were named most often by Gemini (5%) — even there, roughly one answer in 20 carried a name.

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

• Tells the buyer to check reviews: 2.5% across all three models.
• Warns about red flags or scams: 2.5%–5% across all three (a 3-point spread).
• Names a specific provider: 0%–5% across all three (a 5-point spread).
• Gives price or cost information: 7.5%–12.5% across all three (a 5-point spread).

Measured question by question, the three assistants coded a response the same way most consistently on "names a specific provider" (identical coding in 95% 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 artificial grass buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 2.5% of answers on average. Verifying credentials or certifications appeared in 5.8%. Warning about red flags or scams appeared in 4.2%.

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 5%. The single least-reproduced protective signal for artificial grass is "tells the buyer to check reviews" at 2.5% 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 artificial grass (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 artificial grass 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.