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Regional Law Firm Dominates Local AI Search for Personal Injury Queries

Regional Law Firm · 12 solicitors · 3 UK offices  ·  3 months

8×
increase in AI-cited appearances for local legal queries
41
New Enquiries via AI Search
#1
Local AI Citation — Personal Injury
6 weeks
To Measurable Results
⚠️ The Challenge

When potential clients asked AI assistants for personal injury solicitor recommendations, three national firms dominated every response. The firm had strong local Google rankings and good reviews but was invisible in AI-generated recommendations. No in-house SEO resource. Needed a quick, high-ROI intervention.

💡 The Solution

Brand Authority Engine identified the root cause: no Wikidata entity, no Knowledge Panel, zero Organization schema on homepage, no structured data connecting solicitors to their practice areas. Local AI citations depend on entity strength. A focused 6-week entity-building programme was designed around these specific gaps.

📈 The Result

6 weeks: 8× increase in AI-cited appearances for tracked local legal queries. 41 new enquiries in the following 2 months directly attributed to AI search. The firm now has a Knowledge Panel and appears in AI answers for personal injury, medical negligence, and employment law queries.

How They Did It

Step-by-step breakdown of the exact approach taken.

🏆
Brand Authority Engine — Entity from Zero

Generated complete Organization JSON-LD: all solicitor details, practice area specialisations, office locations, and regulatory body memberships. Produced Wikidata property list and Wikipedia article outline for the firm. Entity score went from 18 to 74 in 6 weeks.

📍
LocalBusiness + LegalService Schema

Schema Markup Builder generated LocalBusiness + LegalService JSON-LD for all 3 office pages: geo-coordinates, opening hours, service areas, and fee transparency signals. Local AI queries weight LocalBusiness schema heavily for service provider recommendations.

👨‍⚖️
Solicitor Person Schema — Expertise at Individual Level

Person schema added for all 12 solicitors linked to practice areas, qualification credentials, and Law Society registration. AI engines cite individual experts, not just firms — structured expert profiles significantly improve citation probability for professional services queries.

📋
FAQ Content for 25 Common Client Questions

AI Reasoning Extractor identified the 25 most common questions potential personal injury clients ask AI chatbots. A comprehensive FAQ page with FAQPage schema was created. This page became the most AI-cited page on the site within 30 days of indexing.

⭐
Review Schema + E-E-A-T Trust Signals

E-E-A-T Scorer: 140+ Google reviews not reflected in structured data. AggregateRating schema added to all service pages. Review count and rating are strong local AI trust signals for professional service queries — especially in high-stakes categories like legal.

The Full Results

Week 1–2: Schema and entity creation. Week 3–4: Knowledge Panel triggered. Week 5–6: FAQ page indexed and cited. Month 2: 41 new AI-search enquiries. Month 3: Most-cited regional law firm for personal injury, medical negligence, and employment law in their geographic area. Citation rate: 8%→64%.

“We had no idea AI search was even relevant to a law firm. SEOGEO360 showed us our competitors were already there — and gave us a 6-week plan to get ahead of them. 41 new enquiries is a significant number for a firm our size.”

— Senior Partner, Regional Law Firm

Replicate These Results

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