In 2026, 68% of B2B buyers use AI tools to screen suppliers, and 42% of sourcing decisions are directly influenced by AI recommendations*. Traditional SEO is giving way to Generative Engine Optimization (GEO). This is not another generic GEO encyclopedia — it's a dedicated AI acquisition knowledge system for B2B cross-border trade.
In 2026, 68% of B2B buyers already use AI tools to screen suppliers — the way global buyers search for suppliers has fundamentally changed. It's no longer "search keywords → browse websites" but "ask in natural language → AI directly recommends suppliers." If your brand is not cited, not defined, and absent from comparison scenarios in Perplexity, ChatGPT Search, and Google AI Overviews — you're eliminated in the first round.
Not everyone who does GEO can do cross-border GEO. Domestic AI search (Baidu Wenxin / Doubao / Kimi) only needs to optimize Chinese content and the Baidu ecosystem — but when global buyers use Perplexity / ChatGPT / Google AIO to search for suppliers, they cite English web pages, international certification databases, and global industry media. Two completely different sets of engines, citation sources, search logic, and trust systems.
GEO · Compare2Best focuses exclusively on cross-border GEO. We don't touch domestic search optimization — we only study which AI engines global buyers use, how they search, and what makes AI recommend one Chinese factory over another. This is our sole focus, and it's the most important difference between us and generic GEO providers.
B2B and B2C GEO are fundamentally different. The way global buyers use ChatGPT/Perplexity to search for suppliers is entirely different from how domestic AI search works. We don't write generic content — we only answer the questions B2B cross-border professionals are actually asking.
Essential differences in deal size, decision cycles, buying committees, and AI evaluation dimensions. Why B2C GEO tactics fail in B2B contexts.
Perplexity/ChatGPT/Gemini and Baidu Wenxin/Doubao/Kimi have completely different citation sources, search logic, and user bases.
B2B sites face both Google traditional search and AI search — they don't conflict, but cover entirely different buying stages.
How AI search evaluates a Chinese factory — from entity resolution and certification weight to technical document quality. A complete trust signal framework.
Systematically building your brand's AI citation network — why some factories always get recommended by AI while your competitors never do.
Why do ISO/CE/FDA/TÜV certifications influence AI citations? Schema markup + structured data in practice — B2B edition.
Buyers in different industries use AI search with completely different query patterns and evaluation criteria. We provide differentiated GEO strategies by vertical — not generic methodology, but concrete answers for each industry.
Technical specs, certification standards, production capacity data — how AI evaluates machinery supplier credibility.
Spec sheet structuring, RoHS/CE certification digital footprint — improving AI search visibility for electronics.
How emerging market buyers use AI to screen new energy suppliers — TÜV/UL certification citation weight in AI search.
How to get AI engines to prioritize high-compliance industries through structured certification data.
High standardization in building materials — how to get AI to recommend your products in "best value" scenarios.
How global buyers use ChatGPT/Perplexity to find suppliers — cross-industry patterns and methodology.
Continuously tracking generative engine algorithm changes, citation patterns, and feature updates — keeping your GEO strategy one step ahead.
From SGE to AI Overviews: feature evolution, industry coverage changes, and optimization strategy adjustments.
Microsoft Copilot's citation preferences, B2B query performance, and comparison with Google AI Overviews.
Which sources does Perplexity prefer? Academic papers, Wikipedia, or brand websites? Data analysis reveals the answer.
Objective product data × authoritative industry knowledge × frontline practitioner experience — all anchored on a single entity graph, building a decision-grade knowledge system that AI search engines cannot bypass. No content flooding — only citable, verifiable, and computable data assets.
AI search mechanics, entity optimization, citation engineering, Schema markup. Answers "what are the rules" — a citable, industry-standard knowledge base.
Explore GEO Wiki →Industry case studies, factory GEO starter guide, ROI analysis, SEO-to-GEO migration roadmap. Answers "how to do it" — battle-tested, practical methodology.
View Case Studies →ChatGPT Search, Google AI Overviews, Perplexity, Bing Copilot change tracking. Answers "what's happening right now."
View AI Watch →Three layers, one entity graph: Compare2Best provides objective product data · GEO Knowledge Base delivers industry rules and standards · Global Trade Community captures frontline practitioner experience — together building a decision data moat that AI cannot replicate.
Can your website be correctly understood and recommended by AI search engines? Download this B2B GEO optimization checklist compiled by GEO · Compare2Best, and verify your technical specifications, certification data, and content structure item by item — 30 checkpoints, free to download.