Original research · 2026-07 edition

AI SEO Statistics: Estate Planning Attorney (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 estate planning attorney.

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

What's the difference between a simple will and a living trust, and which one saves my kids more money on taxes?
I have about $500k in assets and a house; do I actually need an estate planning attorney or can I just use an online template?
How much does a typical estate lawyer charge for a full plan in a mid-sized city?
What specific questions should I ask during a consultation to see if an estate attorney is actually experienced with complex family dynamics?
My dad is starting to show signs of dementia; is it too late to get a power of attorney set up through a lawyer?
Are there any red flags I should look for when reading reviews for local probate and estate lawyers?
If I move to a different state, do I have to hire a new lawyer to redo my entire estate plan from scratch?
I'm a single parent with two toddlers; what's the most important legal document I need to ensure they're taken care of if something happens to me?
Show all 15 questions
Do estate planning attorneys usually charge a flat fee for a package or do they bill by the hour for every phone call?
What happens to my digital assets like crypto and social media accounts if they aren't specifically mentioned in my will?
Is it better to hire a general practice lawyer who does wills on the side or a specialist who only does estate law?
I'm worried about my kids fighting over my estate; what kind of clauses can a lawyer add to prevent a messy inheritance battle?
How often should I be meeting with my attorney to update my trust as my investment portfolio grows?
Can an estate lawyer help me set up a way to pay for my long-term care without losing my home to Medicaid?
What documents do I need to bring to a first meeting with an estate planner to make the most of my time?

Model by model

21-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 estate planning attorney buyers.

Behavior rates across 15 estate planning attorney buyer questions, 2026-07 edition. Last column: average across models.
ChatGPTClaudeGeminiConsensus
Recommends hiring a professional80%80%53%60%
Suggests DIY first13%13%0%87%
Names specific providers7%7%0%93%
Gives price or cost info13%27%33%80%
Tells to check reviews20%7%7%87%
Tells to verify credentials20%13%0%73%
Mentions case studies / portfolio13%0%0%87%
Mentions local proximity53%40%20%27%
Gives selection criteria40%40%20%67%
Warns about red flags20%13%13%73%
Asks a clarifying question87%53%0%7%
Recommends multiple quotes13%0%0%87%

By model

How each assistant handled Estate Planning Attorney questions.

Reading the 45 answers model by model shows how differently the three assistants treat the same estate planning attorney questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 80% (ChatGPT) down to 53.3% (Gemini), a 27-point gap on an identical question set.

Across the 15 estate planning attorney answers it produced, ChatGPT recommended hiring a professional in 80% of them and suggested a DIY approach first 13.3% 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 13.3% of the time. ChatGPT asked a clarifying question before answering in 86.7% of cases, warned about red flags or scams in 20%, and told the buyer to verify credentials in 20%, averaging 555 words per answer. On the remaining cues it told the buyer to check reviews in 20%, pointed to case studies or a portfolio in 13.3%, and framed the choice around local proximity in 53.3%; a selection-criteria checklist appeared in 40% of its answers and a recommendation to gather multiple quotes in 13.3%.

Across the 15 estate planning attorney answers it produced, Claude recommended hiring a professional in 80% of them and suggested a DIY approach first 13.3% 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 26.7% of the time. Claude asked a clarifying question before answering in 53.3% of cases, warned about red flags or scams in 13.3%, and told the buyer to verify credentials in 13.3%, averaging 319 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 0%, and framed the choice around local proximity in 40%; a selection-criteria checklist appeared in 40% of its answers and a recommendation to gather multiple quotes in 0%.

Across the 15 estate planning attorney answers it produced, Gemini recommended hiring a professional in 53.3% 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 33.3% 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 281 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 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%.

Taken together, ChatGPT is the assistant most likely to route an estate planning attorney buyer to a professional (80%) and Gemini the least (53.3%). ChatGPT produced the longest answers, at 555 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 20.7 points — the average distance between the most and least likely model across the coded behaviors. The gaps below are where which assistant an estate planning attorney 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 20% (Gemini) to 53.3% (ChatGPT) — a 33-point spread.
  • Recommends hiring a professional: from 53.3% (Gemini) to 80% (ChatGPT) — a 27-point spread.
  • Gives price or cost information: from 13.3% (ChatGPT) to 33.3% (Gemini) — a 20-point spread.
  • Tells the buyer to verify credentials: from 0% (Gemini) to 20% (ChatGPT) — a 20-point spread.

The widest single gap — asks a clarifying question, 87 points — means an estate planning attorney 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 estate planning attorney market.

Where they agree

The points of near-consensus in Estate Planning Attorney.

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

  • Names a specific provider: 0%–6.7% across all three (a 7-point spread).
  • Warns about red flags or scams: 13.3%–20% across all three (a 7-point spread).
  • Suggests a DIY approach first: 0%–13.3% across all three (a 13-point spread).
  • Tells the buyer to check reviews: 6.7%–20% 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" (6.7%).

Every behavior, measured

All twelve coded behaviors for Estate Planning Attorney, averaged across the three models.

The behaviors AI models reproduce most often for estate planning attorney are recommends hiring a professional (71.1% on average), asks a clarifying question (46.7%) and mentions local proximity (37.8%); the rarest are recommends multiple quotes (4.4%), mentions case studies or portfolio (4.4%) and names a specific provider (4.5%). 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: 71.1% on average (ChatGPT 80%, Claude 80%, Gemini 53.3%) — a 27-point spread.
  • Asks a clarifying question: 46.7% on average (ChatGPT 86.7%, Claude 53.3%, Gemini 0%) — a 87-point spread.
  • Mentions local proximity: 37.8% on average (ChatGPT 53.3%, Claude 40%, Gemini 20%) — a 33-point spread.
  • Gives selection criteria: 33.3% on average (ChatGPT 40%, Claude 40%, Gemini 20%) — a 20-point spread.
  • Gives price or cost information: 24.4% on average (ChatGPT 13.3%, Claude 26.7%, Gemini 33.3%) — a 20-point spread.
  • Warns about red flags or scams: 15.5% on average (ChatGPT 20%, Claude 13.3%, Gemini 13.3%) — a 7-point spread.
  • Tells the buyer to check reviews: 11.1% on average (ChatGPT 20%, Claude 6.7%, Gemini 6.7%) — a 13-point spread.
  • Tells the buyer to verify credentials: 11.1% on average (ChatGPT 20%, Claude 13.3%, Gemini 0%) — a 20-point spread.
  • Suggests a DIY approach first: 8.9% on average (ChatGPT 13.3%, Claude 13.3%, Gemini 0%) — a 13-point spread.
  • Names a specific provider: 4.5% on average (ChatGPT 6.7%, Claude 6.7%, Gemini 0%) — a 7-point spread.
  • Mentions case studies or portfolio: 4.4% on average (ChatGPT 13.3%, Claude 0%, Gemini 0%) — a 13-point spread.
  • Recommends multiple quotes: 4.4% on average (ChatGPT 13.3%, Claude 0%, Gemini 0%) — a 13-point spread.

Trust signals

How well the models protect the estate planning attorney buyer.

Beyond whether to hire, the rubric codes how carefully each assistant protects the estate planning attorney buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 11.1% of answers on average. Verifying credentials or certifications appeared in 11.1%. Warning about red flags or scams appeared in 15.5%.

On structuring the decision, a selection-criteria checklist showed up in 33.3% of answers on average and a recommendation to gather multiple quotes in 4.4%. The single least-reproduced protective signal for estate planning attorney is "recommends multiple quotes" at 4.4% 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 Estate Planning Attorney providers?

For service providers the decisive question is whether these systems name anyone at all. Across 45 estate planning attorney answers, a specific provider was named in 4.5% of responses on average — roughly 0.2 distinct providers per answer. In practice the assistants behave far more as an explanatory layer than as a referral engine for estate planning attorney: visibility comes from being the reasoning a model reproduces, not from being the named recommendation.

The question set

What these 15 Estate Planning Attorney questions cover.

The 15 questions behind every percentage on this page were drawn from real estate planning attorney (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 estate planning attorney 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 estate planning attorney 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 →