Law firms: be the firm ChatGPT names when prospects ask for a lawyer.

Why ChatGPT sends your biggest cases to the legacy firm across town

LLMs default to legacy legal brands because their training corpus is stuffed with Super Lawyers listings, Martindale-Hubbell Peer Reviews, AVVO badges, state bar certifications, and decade-old press mentions. A new or mid-size firm with better recent outcomes still loses the AI-answer fight because the corpus has not caught up. Unless you engineer the citation correction.

Legal GEO is the hardest specialty in the SEO world because trust signals are regulated, citation-heavy, and slow-moving. We execute a multi-source citation program across Super Lawyers, Martindale-Hubbell, AVVO, Justia, FindLaw, and Lawyers.com plus verified Person schema for every attorney, case-outcome content with dollar amounts, and white-paper authorship that LLMs can quote.

• Super Lawyers + Martindale + AVVO + Justia + FindLaw citation hardening
• Attorney Person schema + state bar verification markup
• Case-outcome content (with specific settlement figures where ethically allowed)
• State bar + specialty certification badges (board-certified, AAJ, ACTL)
• AI-answer tracking for 80+ legal queries per practice area

Legal Map Pack: density defeats proximity, and reviews decide who survives

Legal is the most competitive vertical in Google Maps. 50 firms within 3 miles is normal in any top-50 US metro. Proximity alone cannot win, review velocity, review recency, and procedure-specific language in reviews ("Attorney X represented me in my personal injury case and won $X") do.

We run a structured review-generation program with ethical copy (no inducements, state-bar-compliant), optimize GBP for the specific practice areas that drive revenue (not just "lawyer" as primary category), and manage Google Screened for Lawyers where eligible to put you above organic results entirely.

• State-bar-compliant review-generation program
• Practice-area-specific GBP categories + attributes
• Google Screened for Lawyers application + optimization
• Practice-area landing pages with FAQ schema
• NAP + attorney-level citation cleanup across 40+ legal directories

What LLMs actually quote: case-outcome explainers, not bios

Attorney bios, even good ones, do not make it into AI answers. What does: case-outcome pages (anonymized but specific), regulatory-change interpretation written within 72 hours of a court ruling, client-journey explainers ("what to do in the first 48 hours after a car accident"), and plain-language practice-area guides that an LLM can quote without sounding like stock legalese.

We build a firm-authored content engine with attorney bylines: case-outcome pages indexable by AI, 72-hour regulatory interpretation pipeline, client-journey content that captures top-of-funnel searches, and practice-area guides that LLMs quote as authoritative.

• Attorney-bylined case-outcome pages (with schema)
• 72-hour regulatory interpretation pipeline
• Client-journey content ("first 48 hours after X")
• Practice-area guides in plain English (LLM-quotable)
• Podcast + Law360 + ABA Journal placement outreach

The exact ChatGPT prompts your next contingency-fee client is typing

Real, current AI-answer queries that decide where intake calls go. These are the prompts where most firms are invisible and where a 60-90 day GEO program shifts the answer.

• "best personal injury lawyer in Dallas for rear-end auto accident"
• "divorce attorney in Miami who handles high-net-worth asset division"
• "DUI defense attorney in Los Angeles with trial experience"
• "immigration lawyer in Austin for EB-1A extraordinary ability visa"
• "commercial litigation firm in Chicago for breach of contract"
• "family law attorney in Seattle for custody modification"
• "criminal defense attorney in New York for white-collar federal case"

Your goal: Your job: be the firm ChatGPT names when a prospective client in your jurisdiction types one of these.