Original research · 2026-07 edition

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

40 questions · 120 AI responses · 3 models · measured 2026-07-06

The question bank

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

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

How long does it actually take for a new law firm website to start showing up on the first page of Google?
Is it better to hire a general marketing agency or one that only works with lawyers for SEO?
My law firm's traffic just plummeted after the last Google update what should I do?
What's a reasonable monthly budget for SEO if I'm a solo practitioner in a mid-sized city?
How do I know if the SEO company I hired is actually doing work or just sending me fluff reports?
Can I rank for personal injury lawyer without spending thousands on backlinks?
Should I focus on blogging or fixing my technical SEO first to get more leads?
What are the biggest red flags when interviewing a legal SEO consultant?
Show all 40 questions
Why is my competitor's law firm outranking me even though they have fewer reviews?
Is it worth paying for a premium legal directory listing or should I put that money into SEO?
How does local SEO differ for a criminal defense attorney compared to a corporate lawyer?
What specific metrics should I be looking at to see if my SEO investment is paying off?
Do I need a separate website for each practice area to rank better locally?
Is it possible to do my own SEO for my law firm if I have a small budget?
How do I get my law firm into the Google Map Pack for divorce lawyer near me?
What's the average cost per lead for SEO in the legal industry right now?
Should I fire my current SEO agency if I haven't seen any new cases after 6 months?
How do I optimize my law firm's bio pages to rank for specific attorney names?
What's the difference between white hat and black hat SEO in the context of legal marketing?
Can an SEO agency guarantee a number one ranking for car accident lawyer?
How much content does a law firm need to publish every month to stay competitive?
Does having a lot of YouTube videos help my law firm's search engine rankings?
What should be included in a standard legal SEO contract to protect my firm?
If I'm a niche maritime lawyer do I even need to worry about SEO?
How do I handle negative SEO attacks from competing law firms?
Is it better to have one big site for my multi-state firm or separate sites for each state?
What are the most important keywords for a family law practice to target?
How much of my marketing budget should go to SEO versus PPC ads?
Why does it cost so much more for personal injury SEO than for estate planning?
Can I see examples of law firms you've helped rank in highly competitive markets?
What happens to my website's rankings if I stop paying for SEO services?
Do I need to rewrite all the content on my current site to improve my search rankings?
How does Google's AI search affect how clients find lawyers online?
Should I use a local SEO agency in my city or a national firm that specializes in legal?
What's the best way to get high-quality backlinks for a legal website without getting penalized?
How do I track which phone calls came from organic SEO versus other sources?
Is it a bad sign if a legal SEO company won't tell me exactly what they're doing with my site?
How do I optimize my law firm's Google Business Profile for multiple office locations?
What's the ROI of SEO for a boutique law firm compared to traditional advertising?
Do I need to switch my website to a specific platform like WordPress for better SEO?

Model by model

15-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 lawyer seo coalition buyers.

Behavior rates across 40 lawyer seo coalition buyer questions, 2026-07 edition. Last column: average across models.
ChatGPTClaudeGeminiConsensus
Recommends hiring a professional40%15%10%60%
Suggests DIY first33%23%23%75%
Names specific providers8%13%10%83%
Gives price or cost info8%10%20%78%
Tells to check reviews0%3%0%98%
Tells to verify credentials0%0%0%100%
Mentions case studies / portfolio8%8%3%88%
Mentions local proximity13%30%30%48%
Gives selection criteria5%13%18%73%
Warns about red flags3%10%18%80%
Asks a clarifying question20%40%0%53%
Recommends multiple quotes0%0%0%100%

By model

How each assistant handled Lawyer SEO Coalition questions.

Reading the 120 answers model by model shows how differently the three assistants treat the same lawyer seo coalition questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 40% (ChatGPT) down to 10% (Gemini), a 30-point gap on an identical question set.

Across the 40 lawyer seo coalition answers it produced, ChatGPT recommended hiring a professional in 40% of them and suggested a DIY approach first 32.5% of the time. It named a specific provider in 7.5% of answers (about 0.1 distinct providers per answer) and included price or cost information 7.5% of the time. ChatGPT asked a clarifying question before answering in 20% of cases, warned about red flags or scams in 2.5%, and told the buyer to verify credentials in 0%, averaging 680 words per answer. On the remaining cues it told the buyer to check reviews in 0%, pointed to case studies or a portfolio in 7.5%, and framed the choice around local proximity in 12.5%; a selection-criteria checklist appeared in 5% of its answers and a recommendation to gather multiple quotes in 0%.

Across the 40 lawyer seo coalition answers it produced, Claude recommended hiring a professional in 15% of them and suggested a DIY approach first 22.5% of the time. It named a specific provider in 12.5% of answers (about 0.5 distinct providers per answer) and included price or cost information 10% of the time. Claude asked a clarifying question before answering in 40% of cases, warned about red flags or scams in 10%, and told the buyer to verify credentials in 0%, averaging 332 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 7.5%, and framed the choice around local proximity in 30%; a selection-criteria checklist appeared in 12.5% of its answers and a recommendation to gather multiple quotes in 0%.

Across the 40 lawyer seo coalition answers it produced, Gemini recommended hiring a professional in 10% of them and suggested a DIY approach first 22.5% of the time. It named a specific provider in 10% of answers (about 0.3 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 17.5%, and told the buyer to verify credentials in 0%, averaging 236 words per answer. On the remaining cues it told the buyer to check reviews in 0%, pointed to case studies or a portfolio in 2.5%, and framed the choice around local proximity in 30%; a selection-criteria checklist appeared in 17.5% of its answers and a recommendation to gather multiple quotes in 0%.

Taken together, ChatGPT is the assistant most likely to route a lawyer seo coalition buyer to a professional (40%) and Gemini the least (10%). ChatGPT produced the longest answers, at 680 words on average. Specific providers were named most often by Claude (12.5%) — even there, roughly one answer in 8 carried a name.

Where they disagree

The behaviors where the choice of model changes the answer.

The divergence index for this study is 14.9 points — the average distance between the most and least likely model across the coded behaviors. The gaps below are where which assistant a lawyer seo coalition buyer happens to ask matters most:

  • Asks a clarifying question: from 0% (Gemini) to 40% (Claude) — a 40-point spread.
  • Recommends hiring a professional: from 10% (Gemini) to 40% (ChatGPT) — a 30-point spread.
  • Mentions local proximity: from 12.5% (ChatGPT) to 30% (Claude) — a 18-point spread.
  • Warns about red flags or scams: from 2.5% (ChatGPT) to 17.5% (Gemini) — a 15-point spread.
  • Gives price or cost information: from 7.5% (ChatGPT) to 20% (Gemini) — a 13-point spread.

The widest single gap — asks a clarifying question, 40 points — means a lawyer seo coalition 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 lawyer seo coalition market.

Where they agree

The points of near-consensus in Lawyer SEO Coalition.

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

  • Tells the buyer to verify credentials: 0% across all three models.
  • Recommends multiple quotes: 0% across all three models.
  • Tells the buyer to check reviews: 0%–2.5% across all three (a 3-point spread).
  • Names a specific provider: 7.5%–12.5% across all three (a 5-point spread).

Measured question by question, the three assistants coded a response the same way most consistently on "tells the buyer to verify credentials" (identical coding in 100% of questions) and least consistently on "mentions local proximity" (47.5%).

Every behavior, measured

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

The behaviors AI models reproduce most often for lawyer seo coalition are suggests a DIY approach first (25.8% on average), mentions local proximity (24.2%) and recommends hiring a professional (21.7%); the rarest are recommends multiple quotes (0%), tells the buyer to verify credentials (0%) and tells the buyer to check reviews (0.8%). Each figure below is the share of a model's 40 answers in which the behavior appeared at least once, averaged across the 3 models with the full per-model range in parentheses:

  • Suggests a DIY approach first: 25.8% on average (ChatGPT 32.5%, Claude 22.5%, Gemini 22.5%) — a 10-point spread.
  • Mentions local proximity: 24.2% on average (ChatGPT 12.5%, Claude 30%, Gemini 30%) — a 18-point spread.
  • Recommends hiring a professional: 21.7% on average (ChatGPT 40%, Claude 15%, Gemini 10%) — a 30-point spread.
  • Asks a clarifying question: 20% on average (ChatGPT 20%, Claude 40%, Gemini 0%) — a 40-point spread.
  • Gives price or cost information: 12.5% on average (ChatGPT 7.5%, Claude 10%, Gemini 20%) — a 13-point spread.
  • Gives selection criteria: 11.7% on average (ChatGPT 5%, Claude 12.5%, Gemini 17.5%) — a 13-point spread.
  • Names a specific provider: 10% on average (ChatGPT 7.5%, Claude 12.5%, Gemini 10%) — a 5-point spread.
  • Warns about red flags or scams: 10% on average (ChatGPT 2.5%, Claude 10%, Gemini 17.5%) — a 15-point spread.
  • Mentions case studies or portfolio: 5.8% on average (ChatGPT 7.5%, Claude 7.5%, Gemini 2.5%) — a 5-point spread.
  • Tells the buyer to check reviews: 0.8% on average (ChatGPT 0%, Claude 2.5%, Gemini 0%) — a 3-point spread.
  • Tells the buyer to verify credentials: 0% on average (ChatGPT 0%, Claude 0%, Gemini 0%).
  • Recommends multiple quotes: 0% on average (ChatGPT 0%, Claude 0%, Gemini 0%).

Trust signals

How well the models protect the lawyer seo coalition buyer.

Beyond whether to hire, the rubric codes how carefully each assistant protects the lawyer seo coalition buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 0.8% of answers on average. Verifying credentials or certifications appeared in 0%. Warning about red flags or scams appeared in 10%.

On structuring the decision, a selection-criteria checklist showed up in 11.7% of answers on average and a recommendation to gather multiple quotes in 0%. The single least-reproduced protective signal for lawyer seo coalition is "tells the buyer to verify credentials" at 0% 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 Lawyer SEO Coalition providers?

For service providers the decisive question is whether these systems name anyone at all. Across 120 lawyer seo coalition answers, a specific provider was named in 10% of responses on average — roughly 0.3 distinct providers per answer. In practice the assistants behave far more as an explanatory layer than as a referral engine for lawyer seo coalition: visibility comes from being the reasoning a model reproduces, not from being the named recommendation.

The question set

What these 40 Lawyer SEO Coalition questions cover.

The 40 questions behind every percentage on this page were drawn from real lawyer seo coalition (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 lawyer seo coalition 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 40 answers in which the behavior appeared at least once — not a confidence score. Because each model answered every question exactly once on 2026-07-06, the figures describe this specific lawyer seo coalition 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.

40 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 2026-07-06, 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 →