AI SEO Statistics: Accountant (2026-07 edition)

Reading the 45 answers model by model shows how differently the three assistants treat the same accountant questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 93.3% (ChatGPT) down to 66.7% (Gemini), a 27-point gap on an identical question set.

Across the 15 accountant answers it produced, ChatGPT recommended hiring a professional in 93.3% of them and suggested a DIY approach first 26.7% of the time. It named a specific provider in 6.7% of answers (about 0.4 distinct providers per answer) and included price or cost information 26.7% of the time. ChatGPT asked a clarifying question before answering in 46.7% of cases, warned about red flags or scams in 33.3%, and told the buyer to verify credentials in 26.7%, averaging 568 words per answer. On the remaining cues it told the buyer to check reviews in 20%, pointed to case studies or a portfolio in 26.7%, and framed the choice around local proximity in 20%; a selection-criteria checklist appeared in 46.7% of its answers and a recommendation to gather multiple quotes in 20%.

Across the 15 accountant answers it produced, Claude recommended hiring a professional in 73.3% of them and suggested a DIY approach first 13.3% of the time. It named a specific provider in 13.3% of answers (about 0.4 distinct providers per answer) and included price or cost information 13.3% of the time. Claude 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 13.3%, averaging 294 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 6.7%.

Across the 15 accountant answers it produced, Gemini recommended hiring a professional in 66.7% of them and suggested a DIY approach first 13.3% of the time. It named a specific provider in 20% of answers (about 0.7 distinct providers per answer) and included price or cost information 26.7% of the time. Gemini asked a clarifying question before answering in 0% of cases, warned about red flags or scams in 20%, and told the buyer to verify credentials in 13.3%, averaging 278 words per answer. On the remaining cues it told the buyer to check reviews in 0%, pointed to case studies or a portfolio in 6.7%, and framed the choice around local proximity in 13.3%; a selection-criteria checklist appeared in 46.7% of its answers and a recommendation to gather multiple quotes in 0%.

Taken together, ChatGPT is the assistant most likely to route an accountant buyer to a professional (93.3%) and Gemini the least (66.7%). ChatGPT produced the longest answers, at 568 words on average. Specific providers were named most often by Gemini (20%) — even there, roughly one answer in 5 carried a name.

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

• Mentions local proximity: 13.3%–20% across all three (a 7-point spread).
• Gives selection criteria: 40%–46.7% across all three (a 7-point spread).
• Names a specific provider: 6.7%–20% across all three (a 13-point spread).
• Warns about red flags or scams: 20%–33.3% across all three (a 13-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 80% of questions) and least consistently on "gives selection criteria" (33.3%).

Beyond whether to hire, the rubric codes how carefully each assistant protects the accountant 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 17.8%. Warning about red flags or scams appeared in 24.4%.

On structuring the decision, a selection-criteria checklist showed up in 44.5% of answers on average and a recommendation to gather multiple quotes in 8.9%. The single least-reproduced protective signal for accountant is "tells the buyer to check reviews" at 6.7% 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 accountant (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 accountant 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.