Case: GEO Practice of Law Firm - From 0 to AI Recommended Preferred, Customer Acquisition Increased by 150% in 6 Months

Project Background

A medium-sized law firm in a provincial capital city, specializing in civil and commercial litigation and corporate legal advisory services. Traditional customer acquisition relies on network recommendations and Baidu bidding, resulting in high customer acquisition costs (averaging 500 yuan per valid lead).

Initial problem

• Baidu bidding CPC continues to rise, with customer acquisition costs increasing by 30% annually
• Search for "Divorce Lawyer in XX City" on an AI engine, but the law firm information is incomplete and ranks low
• The website content mainly focuses on lawyer introductions, lacking substantive legal content

GEO optimization strategy

Phase 1: Professional Authority Construction (1-2 months)

• Each lawyer should complete their personal professional page, including their practice area, typical cases, and professional qualifications
• Unified update of law firm and lawyer information on the official website of the Bar Association, Tianyancha and other platforms
• Publish 50 legal science popularization articles covering high-frequency consulting fields such as divorce, labor, contracts, and real estate
• Add FAQ and Article Schema tags to each article

Phase 2: Localized content coverage (3-4 months)

• Produce a series of special topics on "Comprehensive Analysis of Divorce Process and Costs in XX City"
• Release localized content of 'XX City Labor Arbitration Guidelines'
• Answering legal related questions at Zhihu and accumulating professional reputation
• Making short videos of legal knowledge and releasing them in Tiktok

Phase 3: Continuous operation (5-6 months)

• Monthly updates on interpretation of new legal regulations
• Regularly release typical case studies (with party information hidden)
• Monitor AI citation status and iterate optimization

Effect data

Experience summary

The core of GEO law firm is professional authority. AI engines are very cautious in referencing legal content and must ensure the accuracy and authority of the content. Real cases, professional qualifications, and consistency of information across multiple platforms are the key to winning the trust of AI.