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

By The FirmCited team, BizLegal AI Last updated October 14, 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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