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Practical Guide
2026/6/8

AI Visibility: 300% Increase – Real Data Breakdown: Before vs. After Optimization

AI Visibility: 300% Increase – Real Data Breakdown: Before vs. After Optimization

Case Background: DTC home brand targeting North America and Europe. Pre-optimization monthly organic traffic was 5K, with near-zero AI citations. Professional service engagement lasted 6 months. Measurement Metrics Definition: Core metrics include AI Citations (times the brand/product is mentioned by mainstream AI models when answering user queries), AI Visibility Index (weighted index factoring citation frequency, placement, and sentiment), and AI Referral Traffic (traffic directly from AI tools to the website). Baseline Data (Pre-Optimization): Weekly AI Citations: 3; AI Visibility Index: 12; AI Referral Traffic: 0; Authority Score: 34/100; Relevance Score: 41/100; Structural Score: 28/100; User Value Score: 45/100; Overall GEO Score: 37/100. Optimization Actions & Timeline: Month 1: Technical Infrastructure (fixed robots.txt, deployed global Schema markup on 47 pages, submitted Sitemap, optimized server performance). Months 2-3: Content Restructuring (deeply branded storytelling page, optimized core product pages for 12 SKUs, published 8 professional blog posts, built FAQ page with 25 Q&A pairs). Months 4-6: Authority Building (secured coverage in 2 industry media outlets, obtained 3 product certifications, partnered with 5 KOLs, packaged 8 detailed customer case studies). Month 6: Final Evaluation: Weekly AI Citations increased from 3 to 94 (+3033%); AI Visibility Index rose from 12 to 156 (+1200%); AI Referral Traffic grew from 0 to 892 visits/month; Overall GEO Score improved from 37 to 84 (+127%). ROI Calculation: Investment Cost ¥240,000, Revenue Generated ¥800,000, ROI = 233%.