Home› Case Studies› Legal
🧩 Extension  ·  Legal

Law Firm Becomes Top AI-Cited Source for Immigration Law Questions in the UK

Immigration Law Firm · 8 solicitors · London and Birmingham  ·  8 weeks

71%
citation rate in AI for UK immigration law queries (was 4%)
#1
AI-Cited Immigration Firm in UK
34
New Enquiries via AI in 8 Weeks
100%
SRA Schema Coverage (was 0%)
⚠️ The Challenge

Immigration law queries are among the most AI-searched legal topics in the UK. The firm had good answers to all common questions on their website — but was never cited. Citation rate: 4%. Running the extension on the homepage and 10 key service pages revealed the problem immediately: zero schema, no structured credentials, answers buried in prose, no local entity signals.

💡 The Solution

The extension E-E-A-T Overlay showed grey (weak/missing) on every single signal across all pages audited. Every signal was absent or weak. An 8-week intervention was designed around the specific gaps the extension identified — in 15 minutes of browsing.

📈 The Result

Citation rate: 4%→71% in 8 weeks. The firm became the #1 AI-cited immigration law source in the UK by AI engines. 34 new enquiries directly attributed to AI search in the 8-week period.

How They Did It

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

🧩
Extension E-E-A-T Audit — Every Signal Red

Running the extension on the homepage and 10 service pages: 0/9 E-E-A-T signals showing strong. No schema anywhere, no author credentials in structured form, no SRA registration in markup, no local business signals. The extension gave the firm a concrete, prioritised fix list in 15 minutes of browsing.

👩‍⚖️
Solicitor Credentials as Structured Data

Person schema added for all 8 solicitors with SRA registration numbers, OISC accreditations, call-to-bar dates, languages spoken, and case specialisations. Legal AI citations specifically look for regulatory body credentials in structured form. Highest-impact single change of the programme.

📋
42 FAQ Answers to Common Immigration Questions

AI Reasoning Extractor identified 42 questions people ask AI about UK immigration. A comprehensive FAQ hub was created covering spouse visas, work visas, indefinite leave, appeals, and citizenship. FAQPage JSON-LD added. Became the most AI-cited page on the site within 2 weeks of indexing.

⭐
Case Outcomes Section — Real Experience Evidence

AI engines weight Experience signals heavily for legal content. A case outcomes section was added to each service page describing the types of cases handled and indicative outcomes (without confidential details). This provides the real-world experience signal that differentiates genuine expertise from generic information.

📍
LegalService + LocalBusiness Schema

LegalService + LocalBusiness schema with SRA registration number, geographic service area, consultation availability, and fee transparency. Local AI queries for legal services weight regulatory registration and geographic service area heavily — these signals had been absent entirely.

The Full Results

Week 1–2: Schema and solicitor credentials deployed. Citation rate 4%→18%. Week 3–4: FAQ hub created and indexed. Citation rate 18%→41%. Week 5–6: Case outcomes sections added. Citation rate 41%→61%. Week 7–8: Local entity signals optimised. Citation rate 61%→71%. 34 new enquiries. Average case value: £3,500. Revenue impact: significant.

“We had the expertise. We had the answers. We just were not structuring them in a way AI engines could read. The extension showed us every problem in 15 minutes. We fixed them in 8 weeks and went from invisible to number one.”

— Senior Partner, Immigration Law Firm

Replicate These Results

The same products that powered this case study are available on the free plan.