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AI visibility for law firms

How law firms get recommended when a prospective client asks AI for help.

TL;DR

Legal AEO depends on practice-area clarity (schema per practice area), authority signals (bar admissions, awards, published articles), and FAQ depth on the specific legal issues buyers research. Perplexity is particularly important for legal — the Perplexity audience skews research-heavy.

Why legal is AEO-friendly

Buyers of legal services research heavily — most will spend hours on background research before contacting a firm. That research increasingly happens inside Perplexity or ChatGPT where "best personal injury attorney in Dallas" returns specific firm recommendations.

What AI engines check for law firms

LegalService schema per practice area. Attorney-level E-E-A-T signals (bar admissions, awards, published articles). Google Business Profile for the firm. Legal-directory presence (Martindale, Avvo, Super Lawyers). Case-study and FAQ content for each practice area.

The content that gets cited

Practice-area explainers (what is comparative negligence, how statutes of limitation work in Texas, what to do after a car accident). FAQ depth. Short declarative answer paragraphs AI engines can quote verbatim.

Compliance considerations

Most state bars have advertising rules governing what law firms can say in marketing. All AEO content for legal clients runs through standard advertising-compliance review. We know the Texas Disciplinary Rules for marketing and work within them.

FAQ

Common questions.

Can AI engines cite specific attorney names?

Yes, and they increasingly do for named-attorney searches. Attorney-level schema (Person) matters.

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