AI SEO Statistics: Aviation (2026-07 edition)

Reading the 15 answers model by model shows how differently the three assistants treat the same aviation questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 100% (ChatGPT) down to 20% (Gemini), a 80-point gap on an identical question set.

Across the 5 aviation answers it produced, ChatGPT recommended hiring a professional in 100% of them and suggested a DIY approach first 20% of the time. It named a specific provider in 0% of answers (about 0 distinct providers per answer) and included price or cost information 20% of the time. ChatGPT asked a clarifying question before answering in 40% of cases, warned about red flags or scams in 20%, and told the buyer to verify credentials in 20%, averaging 831 words per answer. On the remaining cues it told the buyer to check reviews in 20%, pointed to case studies or a portfolio in 20%, and framed the choice around local proximity in 40%; a selection-criteria checklist appeared in 60% of its answers and a recommendation to gather multiple quotes in 0%.

Across the 5 aviation answers it produced, Claude recommended hiring a professional in 60% of them and suggested a DIY approach first 20% of the time. It named a specific provider in 40% of answers (about 0.6 distinct providers per answer) and included price or cost information 60% of the time. Claude asked a clarifying question before answering in 20% of cases, warned about red flags or scams in 20%, and told the buyer to verify credentials in 20%, averaging 344 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 20%; a selection-criteria checklist appeared in 20% of its answers and a recommendation to gather multiple quotes in 0%.

Across the 5 aviation answers it produced, Gemini recommended hiring a professional in 20% of them and suggested a DIY approach first 20% of the time. It named a specific provider in 40% of answers (about 1 distinct providers per answer) and included price or cost information 20% of the time. Gemini asked a clarifying question before answering in 0% of cases, warned about red flags or scams in 40%, and told the buyer to verify credentials in 0%, averaging 193 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 20%; a selection-criteria checklist appeared in 40% of its answers and a recommendation to gather multiple quotes in 0%.

Taken together, ChatGPT is the assistant most likely to route an aviation buyer to a professional (100%) and Gemini the least (20%). ChatGPT produced the longest answers, at 831 words on average. Specific providers were named most often by Claude (40%) — even there, roughly one answer in 3 carried a name.

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

• Suggests a DIY approach first: 20% across all three models.
• Recommends multiple quotes: 0% across all three models.
• Tells the buyer to check reviews: 0%–20% across all three (a 20-point spread).
• Tells the buyer to verify credentials: 0%–20% across all three (a 20-point spread).

Measured question by question, the three assistants coded a response the same way most consistently on "suggests a DIY approach first" (identical coding in 100% of questions) and least consistently on "gives selection criteria" (20%).

Beyond whether to hire, the rubric codes how carefully each assistant protects the aviation buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 6.7% of answers on average. Verifying credentials or certifications appeared in 13.3%. Warning about red flags or scams appeared in 26.7%.

On structuring the decision, a selection-criteria checklist showed up in 40% of answers on average and a recommendation to gather multiple quotes in 0%. The single least-reproduced protective signal for aviation is "recommends multiple quotes" 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 5 questions behind every percentage on this page were drawn from real aviation (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 aviation 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.