Baiyuan GEO Platform: A Whitepaper on Building a SaaS for Generative Engine Optimization
Abstract
An engineering whitepaper documenting the construction of Baiyuan GEO Platform (2024–2026), a SaaS system for Generative Engine Optimization. The system helps brands be cited accurately and consistently across ChatGPT, Claude, Gemini, Perplexity, DeepSeek, and 15+ AI platforms. Coverage: seven-dimension AI citation-rate scoring algorithm, AI-Bot-friendly shadow document delivery (AXP) on customer-owned domains, Schema.org three-layer entity knowledge graph, closed-loop hallucination detection & auto-remediation, F12 three-layer structural optimizer (V1 rule-based + V3.1 dual-engine AutoGEO + E-GEO), rag-backend-v2 LLM hallucination hardening (six defense layers), and platform SSOT chain (brand_faq / page_type / alerts unification). v1.1.2 (this version): substantially expanded chapters 14, 15, 16 in both Traditional Chinese (zh-TW) and English (en) editions — added new sections covering early hand-tuning failure modes, bidirectional rollback design, placeholder guard trigger story, patch order causal chain analysis, cross-tenant cache privacy boundary, breadcrumb 404 ghost incident review (42 days, ~3000 ghost URLs), cross-microservice SSOT boundaries, and 5 engineering lessons (takeaways) per chapter — totaling ~13,000 additional words across 6 chapter files. Also adds LinkedIn launch announcement drafts (4 versions: zh-TW/en/ja personal + zh-TW company). v1.2.0 (this version): adds Part VI — three new chapters (Ch 17 cross-border China GEO with a Hong Kong edge node, UA routing, ICP-free central compliance and bidirectional AI visibility; Ch 18 AXP HTML Mirror-First semantic-HTML shadow documents; Ch 19 a five-layer cache-invalidation architecture for zero-touch propagation) in Traditional Chinese and English; backfills the Japanese edition to full parity (ja chapters 14–19 added); and expands Ch 13 (multimodal GEO) across all three languages with VideoObject GSC parity + origin backfill, a same-origin copyright filter, and sitemap image/video extensions. Languages: Traditional Chinese, English, and Japanese — all complete through chapter 19. License: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).
