AI visibility for law firms

For local practices and the agencies that market them · industry guide, covers 15 US metros · part of the AI Visibility Index data series

When a customer asks ChatGPT, Gemini or Perplexity for a law firm recommendation, the assistant answers from the public data layer it can see: business profiles, listings, reviews, and the words on your website. If that layer is thin or inconsistent, the answer names someone else — and the loss is invisible, because nobody tells you what the AI said.

FoundNow measures that layer for law firms. We ask the assistants the questions real buyers type, several times each, and report how often a business is mentioned as a rate with a 95% confidence interval — never a single-number claim. Every sample records which sources the assistant cited and which model version produced the answer.

What a report shows for law firms

Questions law firm customers ask AI assistants

Three examples from the law firms question set (the full set is part of the product, not this page):

Metros we sample for law firms

Every metro below has a dedicated page describing what we measure there:

law firms in Austin, TX · law firms in Dallas, TX · law firms in Houston, TX · law firms in Denver, CO · law firms in Phoenix, AZ · law firms in Seattle, WA · law firms in Portland, OR · law firms in Chicago, IL · law firms in Atlanta, GA · law firms in Miami, FL · law firms in Charlotte, NC · law firms in Nashville, TN · law firms in Columbus, OH · law firms in Philadelphia, PA · law firms in Sacramento, CA

Frequently asked questions

How do AI assistants decide which law firm to recommend?

Assistants answer from the public data layer they can see when the question is asked: business profiles, listings, reviews, and the words on your website. We do not speculate about each assistant's internal ranking - we measure the outcome directly: how often a specific business is named, in how many runs, with which sources cited.

What does a FoundNow report show for a law firm?

Mention rate by engine - each reported as a rate with a 95% confidence interval, with the exact engines and model versions used listed in the report itself; the sources the assistants cited; the same measurement for one competitor, so the gap is concrete; and a fix list ordered by impact and effort - profile completeness, listings consistency, schema and on-site answers.

Which cities are covered?

The law firms question set currently covers 15 US metropolitan areas, listed on this page. A one-time scan or audit covers one business location; monthly plans cover 1 to 40 locations.

What questions do law firm customers type into AI assistants?

Buyer language such as "car accident lawyer free consultation", "who is the best personal injury lawyer" or "estate planning attorney near me". Our question sets are built from this real buyer language - the three samples on this page come from the law firms question pack, and the full set is part of the product, not this page.

Start a scan Pricing

Method details (sampling, intervals, model versions): methodology page.