What is answer engine optimization (AEO) for law firms?

By Moshe Dor, FounderLast updated July 7, 2026

AEO is the practice of making a law firm citable by AI answer engines — ChatGPT, Claude, Perplexity, and Google AI Overviews — so the firm is named when consumers ask legal questions. It combines entity cleanup, schema markup, AI-crawler access, and question-shaped content, and it is measured in citation share-of-voice rather than rankings.

How does AEO differ from SEO?

SEO competes for position on a results page; AEO competes for inclusion inside one generated answer. An AI answer names one to three sources, so visibility is closer to binary: cited or invisible. AEO therefore prioritizes machine-readable identity (schema, entities) and quotable answers over backlinks and keyword density.

What are the core AEO deliverables?

Four layers: entity hygiene (consistent firm data everywhere models look), technical access (robots.txt allowing GPTBot, ClaudeBot, PerplexityBot; llms.txt; sitemaps), structured data (Organization, Attorney, LegalService, FAQPage schema), and content built to be quoted — question H1s with direct 40-60 word answers.

How do you measure AEO success?

Citation share-of-voice: run a fixed panel of realistic client prompts across the major engines monthly and count which firms get named. Rankings and traffic are secondary. If your firm appears in 8 of 25 money-query answers and your competitor in 15, that ratio — and its trend — is the KPI.

SEO vs AEO at a glance
Dimension	SEO	AEO
Surface	Ranked links	Generated answers
Winner count	10+ per page	1-3 citations per answer
Core lever	Keywords, backlinks	Entities, schema, quotable answers
KPI	Rankings, traffic	Citation share-of-voice

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