MD Laws AI SEO & Content Optimization Case Study

MD Laws is a legal services firm providing representation and consultation across multiple practice areas. The project focused on strengthening organic visibility, improving content quality, and increasing discoverability across traditional search engines and AI platforms, including ChatGPT, Google AI Overviews, Gemini, Claude, Perplexity, and Microsoft Copilot. I optimized title tags, meta descriptions, heading structures, image alt text, URLs, schema markup, and internal links across key service pages. Legal content was rewritten using semantic keywords, clear conversational language, direct-answer sections, structured FAQs, and entity-based organization. Topic clusters were developed around practice areas, legal resources, client guides, case evaluations, legal processes, and industry-specific services. The AEO, GEO, and LLMO strategy improved contextual relationships between attorneys, services, and legal topics while supporting AI interpretation and citation potential. The final website became more authoritative, user-friendly, and AI-ready, with stronger topical relevance, better content engagement, enhanced search visibility, and improved sustainable long-term organic growth potential.