Original research · 2026-07 edition

AI SEO Statistics: Criminal Defense Lawyer (2026-07 edition)

15 questions · 45 AI responses · 3 models · measured 2026-07-04

See how AI talks about YOUR businessFull data table

The question bank

The questions we tested — sampled from real buyer journeys in criminal defense lawyer.

Each model answered every question once, same wording, same day. These are the prompts behind every percentage on this page.

I just got arrested for a DUI but I've never been in trouble before, do I really need to hire a private lawyer or is a public defender fine?
What is the average cost for a criminal defense attorney to handle a felony theft charge from start to finish?
How can I tell if a lawyer actually has experience winning cases at trial versus just taking plea deals?
My son was picked up for drug possession and we have about $5,000 saved, what kind of legal representation can we afford with that?
A detective wants me to come in for questioning about a hit and run I wasn't involved in, should I bring a lawyer with me?
What are some red flags I should look out for when I'm interviewing a defense attorney for a domestic violence case?
Is it better to hire a former prosecutor to defend me because they know how the other side thinks?
How do I find a lawyer who specializes in white-collar crimes like embezzlement rather than just general criminal law?
Show all 15 questions
What's the difference in outcome usually between using a court-appointed lawyer and paying for a private one?
Can I get a criminal record expunged on my own or is it too complicated to do without a professional?
If I hire a lawyer, do they usually offer payment plans or do I have to pay the whole retainer upfront?
How much does it typically cost to have a lawyer represent me at a bail hearing on short notice?
Should I hire a local lawyer who knows the specific judge and prosecutor in my county or a high-profile firm from out of town?
What questions should I ask during a free consultation to see if a defense lawyer is the right fit for a felony assault charge?
My lawyer isn't returning my calls and my court date is in two weeks, how do I fire them and find someone else quickly?

Model by model

26-point average divergence: which AI you ask changes the answer.

The divergence index is the average gap between the most and least likely model per behavior. Higher = the models disagree more about criminal defense lawyer buyers.

Behavior rates across 15 criminal defense lawyer buyer questions, 2026-07 edition. Last column: average across models.
ChatGPTClaudeGeminiConsensus
Recommends hiring a professional87%87%60%60%
Suggests DIY first0%7%7%87%
Names specific providers0%0%0%100%
Gives price or cost info27%27%33%93%
Tells to check reviews33%7%7%60%
Tells to verify credentials33%20%13%60%
Mentions case studies / portfolio27%27%7%73%
Mentions local proximity80%80%33%33%
Gives selection criteria73%80%40%47%
Warns about red flags33%33%7%67%
Asks a clarifying question87%80%0%7%
Recommends multiple quotes47%40%0%40%

By model

How each assistant handled Criminal Defense Lawyer questions.

Reading the 45 answers model by model shows how differently the three assistants treat the same criminal defense lawyer questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 86.7% (ChatGPT) down to 60% (Gemini), a 27-point gap on an identical question set.

Across the 15 criminal defense lawyer answers it produced, ChatGPT recommended hiring a professional in 86.7% 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 26.7% of the time. ChatGPT asked a clarifying question before answering in 86.7% of cases, warned about red flags or scams in 33.3%, and told the buyer to verify credentials in 33.3%, averaging 551 words per answer. On the remaining cues it told the buyer to check reviews in 33.3%, pointed to case studies or a portfolio in 26.7%, and framed the choice around local proximity in 80%; a selection-criteria checklist appeared in 73.3% of its answers and a recommendation to gather multiple quotes in 46.7%.

Across the 15 criminal defense lawyer answers it produced, Claude recommended hiring a professional in 86.7% of them and suggested a DIY approach first 6.7% of the time. It named a specific provider in 0% of answers (about 0 distinct providers per answer) and included price or cost information 26.7% of the time. Claude asked a clarifying question before answering in 80% of cases, warned about red flags or scams in 33.3%, and told the buyer to verify credentials in 20%, averaging 325 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 26.7%, and framed the choice around local proximity in 80%; a selection-criteria checklist appeared in 80% of its answers and a recommendation to gather multiple quotes in 40%.

Across the 15 criminal defense lawyer answers it produced, Gemini recommended hiring a professional in 60% of them and suggested a DIY approach first 6.7% 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 6.7%, and told the buyer to verify credentials in 13.3%, averaging 253 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 33.3%; 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 a criminal defense lawyer buyer to a professional (86.7%) and Gemini the least (60%). ChatGPT produced the longest answers, at 551 words on average. No model named a specific provider in more than 0% of answers.

Where they disagree

The behaviors where the choice of model changes the answer.

The divergence index for this study is 26.3 points — the average distance between the most and least likely model across the coded behaviors. The gaps below are where which assistant a criminal defense lawyer buyer happens to ask matters most:

  • Asks a clarifying question: from 0% (Gemini) to 86.7% (ChatGPT) — a 87-point spread.
  • Mentions local proximity: from 33.3% (Gemini) to 80% (ChatGPT) — a 47-point spread.
  • Recommends multiple quotes: from 0% (Gemini) to 46.7% (ChatGPT) — a 47-point spread.
  • Gives selection criteria: from 40% (Gemini) to 80% (Claude) — a 40-point spread.
  • Recommends hiring a professional: from 60% (Gemini) to 86.7% (ChatGPT) — a 27-point spread.

The widest single gap — asks a clarifying question, 87 points — means a criminal defense lawyer buyer can receive materially different guidance on the same question depending only on which assistant they happen to open, so any visibility strategy built on a single model's behavior describes only part of the criminal defense lawyer market.

Where they agree

The points of near-consensus in Criminal Defense Lawyer.

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

  • Names a specific provider: 0% across all three models.
  • Gives price or cost information: 26.7%–33.3% across all three (a 7-point spread).
  • Suggests a DIY approach first: 0%–6.7% across all three (a 7-point spread).
  • Tells the buyer to verify credentials: 13.3%–33.3% across all three (a 20-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 100% of questions) and least consistently on "asks a clarifying question" (6.7%).

Every behavior, measured

All twelve coded behaviors for Criminal Defense Lawyer, averaged across the three models.

The behaviors AI models reproduce most often for criminal defense lawyer are recommends hiring a professional (77.8% on average), mentions local proximity (64.4%) and gives selection criteria (64.4%); the rarest are names a specific provider (0%), suggests a DIY approach first (4.5%) and tells the buyer to check reviews (15.6%). Each figure below is the share of a model's 15 answers in which the behavior appeared at least once, averaged across the 3 models with the full per-model range in parentheses:

  • Recommends hiring a professional: 77.8% on average (ChatGPT 86.7%, Claude 86.7%, Gemini 60%) — a 27-point spread.
  • Mentions local proximity: 64.4% on average (ChatGPT 80%, Claude 80%, Gemini 33.3%) — a 47-point spread.
  • Gives selection criteria: 64.4% on average (ChatGPT 73.3%, Claude 80%, Gemini 40%) — a 40-point spread.
  • Asks a clarifying question: 55.6% on average (ChatGPT 86.7%, Claude 80%, Gemini 0%) — a 87-point spread.
  • Gives price or cost information: 28.9% on average (ChatGPT 26.7%, Claude 26.7%, Gemini 33.3%) — a 7-point spread.
  • Recommends multiple quotes: 28.9% on average (ChatGPT 46.7%, Claude 40%, Gemini 0%) — a 47-point spread.
  • Warns about red flags or scams: 24.4% on average (ChatGPT 33.3%, Claude 33.3%, Gemini 6.7%) — a 27-point spread.
  • Tells the buyer to verify credentials: 22.2% on average (ChatGPT 33.3%, Claude 20%, Gemini 13.3%) — a 20-point spread.
  • Mentions case studies or portfolio: 20% on average (ChatGPT 26.7%, Claude 26.7%, Gemini 6.7%) — a 20-point spread.
  • Tells the buyer to check reviews: 15.6% on average (ChatGPT 33.3%, Claude 6.7%, Gemini 6.7%) — a 27-point spread.
  • Suggests a DIY approach first: 4.5% on average (ChatGPT 0%, Claude 6.7%, Gemini 6.7%) — a 7-point spread.
  • Names a specific provider: 0% on average (ChatGPT 0%, Claude 0%, Gemini 0%).

Trust signals

How well the models protect the criminal defense lawyer buyer.

Beyond whether to hire, the rubric codes how carefully each assistant protects the criminal defense lawyer buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 15.6% of answers on average. Verifying credentials or certifications appeared in 22.2%. Warning about red flags or scams appeared in 24.4%.

On structuring the decision, a selection-criteria checklist showed up in 64.4% of answers on average and a recommendation to gather multiple quotes in 28.9%. The single least-reproduced protective signal for criminal defense lawyer is "tells the buyer to check reviews" at 15.6% on average — the clearest opening for content that supplies it, since the models are not yet reliably surfacing that guidance on their own.

Referral behavior

Do AI models name Criminal Defense Lawyer providers?

For service providers the decisive question is whether these systems name anyone at all. Across 45 criminal defense lawyer answers, a specific provider was named in 0% of responses on average — roughly 0 distinct providers per answer. In practice the assistants behave far more as an explanatory layer than as a referral engine for criminal defense lawyer: visibility comes from being the reasoning a model reproduces, not from being the named recommendation.

The question set

What these 15 Criminal Defense Lawyer questions cover.

The 15 questions behind every percentage on this page were drawn from real criminal defense 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 criminal defense 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.

How to read this

A note on the numbers.

A percentage here is the share of a model's 15 answers in which the behavior appeared at least once — not a confidence score. Because each model answered every question exactly once on 2026-07-04, the figures describe this specific criminal defense lawyer question set and snapshot rather than a general prior. The full protocol and coding rubric are documented in the study methodology.

Methodology

A controlled snapshot, documented end to end.

15 standardized buyer questions per industry, one response per model per question (ChatGPT (gpt-5-mini), Claude (claude-sonnet-5), Gemini (gemini-3-flash-preview)), collected 2026-07-04, coded against a fixed 12-behavior rubric with human QA. AI outputs vary with model version, location and time — figures describe this sample and window, and are refreshed each edition. Read the full methodology →