29 firm websites scanned. Median score: 77/100. Most have some structured data. The problem is specificity: 93% have no LegalService or Attorney schema type, so AI answer engines can't reliably describe what a firm does, where it operates, or what cases it handles. The firms with properly typed JSON-LD score a median of 89. Those without score 55.
Schema.org has a specific type for law firms: LegalService (or its subtypes Attorney, LegalService). Using it lets an AI accurately describe your practice areas, jurisdiction, and contact details in a generated answer. Using Organization or nothing at all means the AI has to guess, and guesses favour whoever is more cited.
Full population (n=29). A = 85 and above. B = 70-84. C = 50-69. Minimum observed score: 50.
The sample is bimodal: you either have the basics right (score 85+) or you are missing the fundamentals (score 50-70). The middle is thin. The 16 firms in the table below are those with room to improve, published so the gap is visible and fixable.
16 firms shown. Sorted by score descending. Click any row for findings. Firms scoring above 85 are excluded from the table.
| Firm ▲ | City ▲ | Area ▲ | Score ▼ | JSON-LD ▲ | Schema type ▲ | OG tags ▲ |
|---|
Schema type: LegalService = @type is LegalService or Attorney (correct). generic = JSON-LD present but uses a generic @type (WebSite, Organization, LocalBusiness) instead. none = no JSON-LD at all; schema type doesn't apply.
A snapshot of how 29 Indian law firm websites are built for AI answer engines, scanned on 15 July 2026. It measures whether a page is machine-readable and correctly described in structured data, not the quality of the firm's legal services.
No. The score describes a website's markup only. An excellent firm can score badly because no one added structured data to the site. This measures code, not counsel.
A Schema.org type that tells an AI what kind of business the page describes, where it operates, and which areas of law it covers. Without it, AI models infer all of this from prose and often get it wrong or skip the page entirely.
The gap is 34 points. Firms that publish any JSON-LD had a median of 89/100. Firms with none had a median of 55/100. The structured data doesn't cause the score difference directly, but it correlates tightly with the other signals a well-maintained site also gets right.
Each homepage was scanned once with the free AEO Checker on vishkul.com. Every finding was re-checked against the page's raw HTML source. Anything that didn't reproduce was dropped. Nothing is rendered-DOM based; nothing is an AI's opinion.
Email [email protected] and it's updated or removed, no questions asked. You can also re-run the scan yourself. The tool is free and public.
AI Visibility Index · Law firms · India · July 2026
Built by Vishesh Kulshrestha · [email protected] · vishkul.com
Scores computed with the AEO Checker. See the clinic index. All indexes.