AI SEO Statistics: Food Truck (2026-07 edition)

Reading the 45 answers model by model shows how differently the three assistants treat the same food truck questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 33.3% (Claude) down to 6.7% (Gemini), a 27-point gap on an identical question set.

Across the 15 food truck answers it produced, ChatGPT recommended hiring a professional in 26.7% of them and suggested a DIY approach first 13.3% of the time. It named a specific provider in 0% of answers (about 0 distinct providers per answer) and included price or cost information 33.3% of the time. ChatGPT asked a clarifying question before answering in 80% of cases, warned about red flags or scams in 6.7%, and told the buyer to verify credentials in 20%, averaging 497 words per answer. On the remaining cues it told the buyer to check reviews in 13.3%, pointed to case studies or a portfolio in 13.3%, and framed the choice around local proximity in 26.7%; a selection-criteria checklist appeared in 60% of its answers and a recommendation to gather multiple quotes in 13.3%.

Across the 15 food truck answers it produced, Claude recommended hiring a professional in 33.3% of them and suggested a DIY approach first 0% of the time. It named a specific provider in 6.7% of answers (about 0 distinct providers per answer) and included price or cost information 20% of the time. Claude asked a clarifying question before answering in 73.3% of cases, warned about red flags or scams in 6.7%, and told the buyer to verify credentials in 6.7%, averaging 283 words per answer. On the remaining cues it told the buyer to check reviews in 13.3%, pointed to case studies or a portfolio in 6.7%, and framed the choice around local proximity in 26.7%; a selection-criteria checklist appeared in 40% of its answers and a recommendation to gather multiple quotes in 20%.

Across the 15 food truck answers it produced, Gemini recommended hiring a professional in 6.7% of them and suggested a DIY approach first 0% of the time. It named a specific provider in 0% of answers (about 0 distinct providers per answer) and included price or cost information 33.3% of the time. Gemini asked a clarifying question before answering in 0% of cases, warned about red flags or scams in 13.3%, and told the buyer to verify credentials in 6.7%, averaging 250 words per answer. On the remaining cues it told the buyer to check reviews in 6.7%, pointed to case studies or a portfolio in 6.7%, and framed the choice around local proximity in 6.7%; a selection-criteria checklist appeared in 40% of its answers and a recommendation to gather multiple quotes in 0%.

Taken together, Claude is the assistant most likely to route a food truck buyer to a professional (33.3%) and Gemini the least (6.7%). ChatGPT produced the longest answers, at 497 words on average. Specific providers were named most often by Claude (6.7%) — even there, roughly one answer in 15 carried a name.

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

• Tells the buyer to check reviews: 6.7%–13.3% across all three (a 7-point spread).
• Mentions case studies or portfolio: 6.7%–13.3% across all three (a 7-point spread).
• Warns about red flags or scams: 6.7%–13.3% across all three (a 7-point spread).
• Names a specific provider: 0%–6.7% across all three (a 7-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 93.3% of questions) and least consistently on "asks a clarifying question" (20%).

Beyond whether to hire, the rubric codes how carefully each assistant protects the food truck buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 11.1% of answers on average. Verifying credentials or certifications appeared in 11.1%. Warning about red flags or scams appeared in 8.9%.

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 11.1%. The single least-reproduced protective signal for food truck is "warns about red flags or scams" at 8.9% on average — the clearest opening for content that supplies it, since the models are not yet reliably surfacing that guidance on their own.

The 15 questions behind every percentage on this page were drawn from real food truck (hospitality; 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 food truck 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.