AI SEO Statistics: Delivery Service (2026-07 edition)

Reading the 120 answers model by model shows how differently the three assistants treat the same delivery service questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 62.5% (ChatGPT) down to 57.5% (Gemini), a 5-point gap on an identical question set.

Across the 40 delivery service answers it produced, ChatGPT recommended hiring a professional in 62.5% of them and suggested a DIY approach first 22.5% of the time. It named a specific provider in 37.5% of answers (about 2 distinct providers per answer) and included price or cost information 20% of the time. ChatGPT asked a clarifying question before answering in 62.5% of cases, warned about red flags or scams in 12.5%, and told the buyer to verify credentials in 27.5%, averaging 505 words per answer. On the remaining cues it told the buyer to check reviews in 15%, pointed to case studies or a portfolio in 0%, and framed the choice around local proximity in 50%; a selection-criteria checklist appeared in 55% of its answers and a recommendation to gather multiple quotes in 27.5%.

Across the 40 delivery service answers it produced, Claude recommended hiring a professional in 62.5% of them and suggested a DIY approach first 15% of the time. It named a specific provider in 57.5% of answers (about 2.6 distinct providers per answer) and included price or cost information 20% of the time. Claude asked a clarifying question before answering in 67.5% of cases, warned about red flags or scams in 10%, and told the buyer to verify credentials in 17.5%, averaging 272 words per answer. On the remaining cues it told the buyer to check reviews in 20%, pointed to case studies or a portfolio in 2.5%, and framed the choice around local proximity in 47.5%; a selection-criteria checklist appeared in 55% of its answers and a recommendation to gather multiple quotes in 15%.

Across the 40 delivery service answers it produced, Gemini recommended hiring a professional in 57.5% of them and suggested a DIY approach first 7.5% of the time. It named a specific provider in 62.5% of answers (about 3 distinct providers per answer) and included price or cost information 30% of the time. Gemini asked a clarifying question before answering in 2.5% of cases, warned about red flags or scams in 5%, and told the buyer to verify credentials in 7.5%, averaging 264 words per answer. On the remaining cues it told the buyer to check reviews in 0%, pointed to case studies or a portfolio in 0%, and framed the choice around local proximity in 40%; a selection-criteria checklist appeared in 30% of its answers and a recommendation to gather multiple quotes in 0%.

Taken together, ChatGPT is the assistant most likely to route a delivery service buyer to a professional (62.5%) and Gemini the least (57.5%). ChatGPT produced the longest answers, at 505 words on average. Specific providers were named most often by Gemini (62.5%) — even there, roughly one answer in 2 carried a name.

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

• Mentions case studies or portfolio: 0%–2.5% across all three (a 3-point spread).
• Recommends hiring a professional: 57.5%–62.5% across all three (a 5-point spread).
• Warns about red flags or scams: 5%–12.5% across all three (a 8-point spread).
• Gives price or cost information: 20%–30% across all three (a 10-point spread).

Measured question by question, the three assistants coded a response the same way most consistently on "mentions case studies or portfolio" (identical coding in 97.5% of questions) and least consistently on "asks a clarifying question" (15%).

Beyond whether to hire, the rubric codes how carefully each assistant protects the delivery service buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 11.7% of answers on average. Verifying credentials or certifications appeared in 17.5%. Warning about red flags or scams appeared in 9.2%.

On structuring the decision, a selection-criteria checklist showed up in 46.7% of answers on average and a recommendation to gather multiple quotes in 14.2%. The single least-reproduced protective signal for delivery service is "warns about red flags or scams" at 9.2% 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 delivery service (professional 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 delivery service 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.