Get cited by ChatGPT, Claude, and Perplexity — when buyers ask for a lawyer.
Get cited by ChatGPT, Claude, Perplexity, and Google AI Overviews — the engines half your buyers now ask first — tuned specifically for PI, family, criminal, estate, immigration, business, IP, employment.
The vertical-specific reason most law firms plateau on search.
Generic AEO/GEO firms apply the same schema + FAQ playbook to every industry — but AI engines weight different signals per vertical. Healthcare AI citation requires MedicalEntity schema. Legal requires bar-compliant claim language. SaaS requires comparison pages AI engines harvest from. Legal AI citation requires bar-compliant claim language. AI engines synthesize from your published content; if you publish overclaims, the synthesis amplifies them — and bar-rule violations follow.
Pi/dui calls 24/7 with high urgency; estate/family research 2-4 weeks; corporate engagement 6+ weeks. Decision window: hours (criminal/PI) to months (corporate). Primary metric that matters: qualified consultations, signed retainers, attorney-attributed marketing revenue.
5 tactics tuned for Law Firm AI Visibility.
These are the AI Visibility disciplines that actually move qualified consultations for law firms — beyond the generic playbook.
- →FAQPage schema for every practice area — answer engines harvest Q&A pairs preferentially. “What does a personal injury lawyer do in [State]?” → harvestable answer.
- →Attorney as named entity — Wikipedia (where notable), state bar profile linked, Schema.org/Attorney with sameAs pointing to LinkedIn + bar listing.
- →Long-form practice-area articles with statute citations + case law references. AI engines preferentially cite content with verifiable factual grounding.
- →State-specific legal explainers — “how does Florida’s comparative negligence law work?” — answer-engine + generative-engine catnip.
- →Citation tracking across ChatGPT / Claude / Perplexity / Google AI Overviews monthly — see which engines cite you for which queries, where the gaps are.
The 5 core pillars under every Law Firm AI Visibility engagement.
- ✓Entity graph clarity (Wikipedia, Wikidata, Schema sameAs)
- ✓Citation-magnet long-form with named-author bylines
- ✓FAQPage schema + question-led H2s for snippet harvest
- ✓Convergent signals across 3rd-party authority sites
- ✓AI citation tracking + monthly engine refresh
What gets Law Firm AI Visibility engagements off the rails.
- ✗Schema markup that overclaims — AI engines pick up structured data first.
- ✗Ignoring state-bar profile linkage — AI engines validate attorney existence via cross-source signals.
- ✗Skipping FAQPage schema — single biggest answer-engine opportunity.
- ✗Generic ‘about us’ content — AI engines harvest specific, verifiable claims.
What good looks like — and when you should see it.
Within 6 months: citations in ChatGPT + Claude + Perplexity for at least 5 practice-area queries, featured snippet capture for 10+ situational legal questions in your jurisdiction, and Google AI Overviews citation in your home state for primary practice area.
Results vary by market competition, current baseline, and engagement scope. Snapshot Report sets the realistic baseline for your specific business.
