Southeast Restoration Local SEO & AI Search Case Study

Southeast Restoration provides emergency water, fire, and mold restoration for residential and commercial properties across the Southeast. The project focused on improving local search visibility for high-intent emergency queries, building topical authority across disaster types and property types, and making the site readable for both search engines and large language models. The on-page layer covered title tags built around local service terms, a structured H1 to H6 hierarchy, short descriptive URLs for service and location pages, rewritten metadata, descriptive alt text on restoration visuals, UX formatting for mobile, and internal linking across service pages, location pages and informational content. Content was organised into service-specific clusters covering water damage, fire restoration, mold remediation and emergency response, with entity-based optimization connecting the brand to service types, locations and clients. The AEO, GEO, and LLMO work added direct-answer formatting for emergency queries, FAQ structuring for voice and AI search, and entity-rich content built for ChatGPT, Google AI, Gemini, Claude, Perplexity, and Microsoft Copilot. Six schema types were implemented and validated through the Rich Results Test.