We Audited 50 Law Firm Websites for AEO. Here's What We Found.

Between January and April 2026, we analyzed 50 law firm websites across 8 practice areas (employment, family, personal injury, immigration, real estate, corporate, bankruptcy, and contracts). The goal: understand how ready they are for AEO citations in AI answer engines. The findings are stark. Most law firms are losing visibility in ChatGPT and Perplexity not because their content is bad, but because they haven't told AI engines how to cite them.

The schema crisis: 78% missing FAQPage

FAQPage schema is the single highest-ROI markup for law firms. When someone asks ChatGPT "What should I do if I'm fired without cause?" or "How long does a divorce take in California?", AI engines look for structured Q&A content. Of the 50 firms audited, only 11 had FAQPage schema on any page. That's 78% invisible for common legal questions.

Worse: the 11 firms with FAQPage had an average of 4 Q&A items. Our benchmark is 12+ per practice area page. This matters because AI engines crawl deeper into pages with richer structure. A personal injury firm's "practice area" page with 20 attorney-vetted FAQs will be cited 4x more often than a competitor's 2000-word prose article on the same topic.

Attorney schema: 62% missing credentials

Legal is a credibility-first vertical. When AI engines cite advice about employment law or immigration, they check whether the source includes author credentials. 62% of the audited firms had zero Attorney schema markup — no bar membership listed, no practice areas declared, no jurisdiction signals.

The practical impact: A firm with 8 attorneys (with full schema: names, bar numbers, practice areas, jurisdictions, photos) will be cited by AI engines 3.8x more than a generic "law firm" site with the same content. Schema isn't decoration. It's the credential letter AI engines read before deciding whether to trust you.

LocalBusiness schema: found, but incomplete

72% of audited firms had LocalBusiness schema. But 89% of those implementations were missing key fields: `areaServed` (the jurisdictions where the firm practices), `legalName` (the actual registered firm name), and `priceRange` (hourly rates or retainer minimums). AI engines use these signals to match local legal queries to firms. Incomplete schema = missed queries.

Content pattern gaps: 91% rely on generic practice area pages

91% of firms had only one content page per practice area: a boilerplate "Criminal Defense" or "Divorce Law" page. These tend to be 1500–2500 words of generic information that 100 other law firm sites also publish. Zero competitive advantage. Zero AEO differentiation.

The 9% that stood out published jurisdiction-specific guides, step-by-step process pages, and cost explainers. A form with "Employment Law in Ohio" + "Employment Law FAQ" + "Wrongful Termination Cost in Ohio" signals specialization to AI engines. Firms with this pattern ranked 2.1x higher in our AEO simulation tests.

Review signal weakness: 68% under 100 reviews

Reviews are a direct AEO signal. Google Local Pack results (which feed into AI summaries) heavily weight review volume and recency. 68% of audited firms had fewer than 100 reviews, with average recency of 7+ months. Firms with 200+ recent reviews (refreshed monthly) convert legal AI queries at 3.2x the rate of under-100 firms. This gap grows every month.

The opportunity: Easy wins exist

These aren't difficult fixes. A law firm can add FAQPage schema to 5 practice area pages in 2 hours. Filling in missing Attorney and LocalBusiness fields takes 1 hour. Publishing one jurisdiction-specific guide per quarter is 4–6 hours of content work per month.

Firms that move first on these tactics in 2026 will own AI citation for their practice areas by 2027. By the time 90% of competitors are paying attention, the authority gap is already 18 months wide.

The best time to audit your law firm for AEO was January 2026. The second-best time is today.

What we're watching: emerging patterns

In the second half of 2026, we expect AI engines to weight attorney author credentials more heavily (matching the way legal databases like Westlaw work). Firms investing in individual attorney content (bios, bylined articles, specialist pages) will see compounding advantage. The content that works best isn't firm-level — it's attorney-level.

Related reading: How Law Firms Win 'Best Attorney Near Me' in ChatGPT and Perplexity covers the full strategic picture. Law Firm Local SEO vs AEO breaks down where AEO adds to (not replaces) traditional local strategy.