Original research · 2026-07 edition

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

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

The question bank

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

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

What is the difference between Chapter 7 and Chapter 13 bankruptcy and how do I know which one I qualify for?
If I'm facing a foreclosure next week, can a bankruptcy lawyer stop it immediately?
Is it worth hiring a bankruptcy attorney if I have no assets, or should I just try to file the paperwork myself?
How much should I expect to pay in total for legal fees and court costs for a standard Chapter 7 filing?
What questions should I ask during a free consultation to make sure the lawyer actually knows what they're doing?
Can a bankruptcy lawyer help me keep my car if I'm behind on the payments?
I'm worried about my credit score; will a lawyer be able to advise me on how to rebuild it after the discharge?
What happens if I hire a bankruptcy lawyer but then decide not to go through with the filing?
Show all 15 questions
Are there any red flags I should look out for when reading online reviews for local debt relief attorneys?
Do bankruptcy lawyers usually offer payment plans for their own legal fees, or do I have to pay everything upfront?
I own a small business that's failing; do I need a personal bankruptcy lawyer or a business one?
How long does the entire process take from the first meeting with a lawyer to having my debts officially cleared?
Can a lawyer help me get rid of old tax debt through bankruptcy, or is that not allowed?
Should I look for a lawyer who specializes only in bankruptcy or is a general practice attorney okay?
My spouse doesn't want to file, so can I hire a lawyer to handle just my half of our joint credit card debt?

Model by model

22-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 bankruptcy lawyer buyers.

Behavior rates across 15 bankruptcy lawyer buyer questions, 2026-07 edition. Last column: average across models.
ChatGPTClaudeGeminiConsensus
Recommends hiring a professional93%87%47%40%
Suggests DIY first7%0%7%87%
Names specific providers7%7%0%93%
Gives price or cost info13%33%20%60%
Tells to check reviews13%13%0%87%
Tells to verify credentials13%20%0%80%
Mentions case studies / portfolio13%7%0%80%
Mentions local proximity33%20%13%67%
Gives selection criteria27%33%7%67%
Warns about red flags7%27%13%67%
Asks a clarifying question67%73%0%13%
Recommends multiple quotes13%20%0%73%

By model

How each assistant handled Bankruptcy Lawyer questions.

Reading the 45 answers model by model shows how differently the three assistants treat the same bankruptcy lawyer 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 46.7% (Gemini), a 47-point gap on an identical question set.

Across the 15 bankruptcy lawyer answers it produced, ChatGPT recommended hiring a professional in 93.3% of them and suggested a DIY approach first 6.7% of the time. It named a specific provider in 6.7% of answers (about 0.2 distinct providers per answer) and included price or cost information 13.3% of the time. ChatGPT asked a clarifying question before answering in 66.7% of cases, warned about red flags or scams in 6.7%, and told the buyer to verify credentials in 13.3%, averaging 522 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 33.3%; a selection-criteria checklist appeared in 26.7% of its answers and a recommendation to gather multiple quotes in 13.3%.

Across the 15 bankruptcy lawyer answers it produced, Claude 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 6.7% of answers (about 0.1 distinct providers per answer) and included price or cost information 33.3% of the time. Claude asked a clarifying question before answering in 73.3% of cases, warned about red flags or scams in 26.7%, and told the buyer to verify credentials in 20%, averaging 301 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 20%; a selection-criteria checklist appeared in 33.3% of its answers and a recommendation to gather multiple quotes in 20%.

Across the 15 bankruptcy lawyer answers it produced, Gemini recommended hiring a professional in 46.7% 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 20% 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 0%, averaging 277 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 13.3%; a selection-criteria checklist appeared in 6.7% of its answers and a recommendation to gather multiple quotes in 0%.

Taken together, ChatGPT is the assistant most likely to route a bankruptcy lawyer buyer to a professional (93.3%) and Gemini the least (46.7%). ChatGPT produced the longest answers, at 522 words on average. Specific providers were named most often by ChatGPT (6.7%) — even there, roughly one answer in 15 carried a name.

Where they disagree

The behaviors where the choice of model changes the answer.

The divergence index for this study is 21.5 points — the average distance between the most and least likely model across the coded behaviors. The gaps below are where which assistant a bankruptcy lawyer buyer happens to ask matters most:

  • Asks a clarifying question: from 0% (Gemini) to 73.3% (Claude) — a 73-point spread.
  • Recommends hiring a professional: from 46.7% (Gemini) to 93.3% (ChatGPT) — a 47-point spread.
  • Gives selection criteria: from 6.7% (Gemini) to 33.3% (Claude) — a 27-point spread.
  • Gives price or cost information: from 13.3% (ChatGPT) to 33.3% (Claude) — a 20-point spread.
  • Tells the buyer to verify credentials: from 0% (Gemini) to 20% (Claude) — a 20-point spread.

The widest single gap — asks a clarifying question, 73 points — means a bankruptcy 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 bankruptcy lawyer market.

Where they agree

The points of near-consensus in Bankruptcy Lawyer.

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

  • Suggests a DIY approach first: 0%–6.7% across all three (a 7-point spread).
  • Names a specific provider: 0%–6.7% across all three (a 7-point spread).
  • Tells the buyer to check reviews: 0%–13.3% across all three (a 13-point spread).
  • Mentions case studies or portfolio: 0%–13.3% across all three (a 13-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" (13.3%).

Every behavior, measured

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

The behaviors AI models reproduce most often for bankruptcy lawyer are recommends hiring a professional (75.6% on average), asks a clarifying question (46.7%) and gives price or cost information (22.2%); the rarest are names a specific provider (4.5%), suggests a DIY approach first (4.5%) and mentions case studies or portfolio (6.7%). 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: 75.6% on average (ChatGPT 93.3%, Claude 86.7%, Gemini 46.7%) — a 47-point spread.
  • Asks a clarifying question: 46.7% on average (ChatGPT 66.7%, Claude 73.3%, Gemini 0%) — a 73-point spread.
  • Gives price or cost information: 22.2% on average (ChatGPT 13.3%, Claude 33.3%, Gemini 20%) — a 20-point spread.
  • Mentions local proximity: 22.2% on average (ChatGPT 33.3%, Claude 20%, Gemini 13.3%) — a 20-point spread.
  • Gives selection criteria: 22.2% on average (ChatGPT 26.7%, Claude 33.3%, Gemini 6.7%) — a 27-point spread.
  • Warns about red flags or scams: 15.6% on average (ChatGPT 6.7%, Claude 26.7%, Gemini 13.3%) — a 20-point spread.
  • Tells the buyer to verify credentials: 11.1% on average (ChatGPT 13.3%, Claude 20%, Gemini 0%) — a 20-point spread.
  • Recommends multiple quotes: 11.1% on average (ChatGPT 13.3%, Claude 20%, Gemini 0%) — a 20-point spread.
  • Tells the buyer to check reviews: 8.9% on average (ChatGPT 13.3%, Claude 13.3%, Gemini 0%) — a 13-point spread.
  • Mentions case studies or portfolio: 6.7% on average (ChatGPT 13.3%, Claude 6.7%, Gemini 0%) — a 13-point spread.
  • Suggests a DIY approach first: 4.5% on average (ChatGPT 6.7%, Claude 0%, Gemini 6.7%) — a 7-point spread.
  • Names a specific provider: 4.5% on average (ChatGPT 6.7%, Claude 6.7%, Gemini 0%) — a 7-point spread.

Trust signals

How well the models protect the bankruptcy lawyer buyer.

Beyond whether to hire, the rubric codes how carefully each assistant protects the bankruptcy lawyer buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 8.9% of answers on average. Verifying credentials or certifications appeared in 11.1%. Warning about red flags or scams appeared in 15.6%.

On structuring the decision, a selection-criteria checklist showed up in 22.2% of answers on average and a recommendation to gather multiple quotes in 11.1%. The single least-reproduced protective signal for bankruptcy lawyer is "tells the buyer to check reviews" 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.

Referral behavior

Do AI models name Bankruptcy Lawyer providers?

For service providers the decisive question is whether these systems name anyone at all. Across 45 bankruptcy lawyer answers, a specific provider was named in 4.5% of responses on average — roughly 0.1 distinct providers per answer. In practice the assistants behave far more as an explanatory layer than as a referral engine for bankruptcy lawyer: visibility comes from being the reasoning a model reproduces, not from being the named recommendation.

The question set

What these 15 Bankruptcy Lawyer questions cover.

The 15 questions behind every percentage on this page were drawn from real bankruptcy 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 bankruptcy 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 bankruptcy 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 →