AI SEO Statistics: Family Lawyer (2026-07 edition)

Reading the 120 answers model by model shows how differently the three assistants treat the same family lawyer questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 92.5% (ChatGPT) down to 50% (Gemini), a 43-point gap on an identical question set.

Across the 40 family lawyer answers it produced, ChatGPT recommended hiring a professional in 92.5% of them and suggested a DIY approach first 30% of the time. It named a specific provider in 2.5% of answers (about 0 distinct providers per answer) and included price or cost information 17.5% of the time. ChatGPT asked a clarifying question before answering in 70% of cases, warned about red flags or scams in 12.5%, and told the buyer to verify credentials in 10%, averaging 535 words per answer. On the remaining cues it told the buyer to check reviews in 7.5%, pointed to case studies or a portfolio in 7.5%, and framed the choice around local proximity in 60%; a selection-criteria checklist appeared in 30% of its answers and a recommendation to gather multiple quotes in 20%.

Across the 40 family lawyer answers it produced, Claude recommended hiring a professional in 87.5% of them and suggested a DIY approach first 17.5% of the time. It named a specific provider in 7.5% of answers (about 0.3 distinct providers per answer) and included price or cost information 27.5% of the time. Claude asked a clarifying question before answering in 70% of cases, warned about red flags or scams in 7.5%, and told the buyer to verify credentials in 7.5%, averaging 299 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 42.5%; a selection-criteria checklist appeared in 25% of its answers and a recommendation to gather multiple quotes in 10%.

Across the 40 family lawyer answers it produced, Gemini recommended hiring a professional in 50% of them and suggested a DIY approach first 15% of the time. It named a specific provider in 7.5% of answers (about 0.2 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 7.5%, and told the buyer to verify credentials in 0%, averaging 281 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 27.5%; a selection-criteria checklist appeared in 15% of its answers and a recommendation to gather multiple quotes in 2.5%.

Taken together, ChatGPT is the assistant most likely to route a family lawyer buyer to a professional (92.5%) and Gemini the least (50%). ChatGPT produced the longest answers, at 535 words on average. Specific providers were named most often by Claude (7.5%) — even there, roughly one answer in 13 carried a name.

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

• Names a specific provider: 2.5%–7.5% across all three (a 5-point spread).
• Warns about red flags or scams: 7.5%–12.5% across all three (a 5-point spread).
• Tells the buyer to check reviews: 0%–7.5% across all three (a 8-point spread).
• Mentions case studies or portfolio: 0%–7.5% across all three (a 8-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" (15%).

Beyond whether to hire, the rubric codes how carefully each assistant protects the family lawyer buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 3.3% of answers on average. Verifying credentials or certifications appeared in 5.8%. Warning about red flags or scams appeared in 9.2%.

On structuring the decision, a selection-criteria checklist showed up in 23.3% of answers on average and a recommendation to gather multiple quotes in 10.8%. The single least-reproduced protective signal for family lawyer is "tells the buyer to check reviews" at 3.3% 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 family lawyer (legal 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 family lawyer 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.