When global buyers switch to Perplexity or Google AI to find factories, suppliers that AI doesn't cite never even make the first shortlist. We help you claim the AI search recommendation slot and capture a new generation of high-intent inquiries*.
SeaSight GEO is a cross-border B2B AI search optimization platform that helps export manufacturers increase brand visibility across AI search engines (ChatGPT, Perplexity, Google AI Overviews, Bing Copilot). Our four-layer framework — GEO Wiki → B2B Practice → AI Monitoring → Industry Reports — is designed to produce measurable, source-verified visibility gains for B2B exporters. Specific outcome figures are published only with full sourcing in our public evidence assets (see the data-sources section and Data Methodology).
Below are anonymized cases (metrics to be filled with client authorization — no unverified numbers). They show the real path of change in AI visibility, from "before" to "after."
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.
Cross-border GEO is not the same as domestic GEO, and certainly not "just hire any GEO vendor." When global buyers use Perplexity / ChatGPT / Google AIO to find suppliers, they cite English web pages, international certification databases, and global industry media — generic GEO providers mostly apply domestic SEO or generic content-mass-production logic, which misses the real acquisition logic of cross-border B2B.
SeaSight GEO focuses exclusively on cross-border B2B GEO. We don't do domestic search optimization, and we don't do B2C — we only study which AI engines global buyers use, how they search, and what makes AI recommend one Chinese factory over another. The buyer asks the AI, and the AI recommends your competitor — that's the most fatal link in cross-border B2B.
Drag the sliders to see your factory's potential to be "asked about" by overseas buyers in the AI-search era. Figures are benchmark-based estimates — real performance is confirmed by you after a diagnosis.
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.
Industry case studies, factory GEO starter guide, ROI analysis, SEO-to-GEO migration roadmap. Answers "how to do it" — battle-tested, practical methodology.
ChatGPT Search, Google AI Overviews, Perplexity, Bing Copilot change tracking. Answers "what's happening right now."
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.
Enter your website URL for a 6-dimension full-funnel audit — from a Googlebot crawl perspective, evaluating whether your pages are discovered, indexed, and understood by AI. Instantly generate a downloadable diagnostic report and an optimization action list.
Can your website be correctly understood and recommended by AI search engines? Download this B2B GEO optimization checklist compiled by SeaSight GEO, and verify your technical specifications, certification data, and content structure item by item — 30 checkpoints, free to download.
GEO isn't about writing a few articles — it's about translating your factory into a knowledge entity that AI engines can understand, cite, and recommend. Below is our capability base and verifiable credentials.
Our in-house methodology spans entity building, certification structuring, citation engineering, Schema markup, and AI citation monitoring — turning "getting recommended by AI" into executable, verifiable steps.
We know how to express Wikidata, Schema.org, ISO, and international certification databases in structured form, so AI links your factory to real credentials instead of treating it as an anonymous supplier.
Every external data point we publish carries its source and sample size (Gartner / G2 / Forrester, etc.). Our own business metrics are filled in only after client authorization — no unverified numbers.
We study only how overseas buyers use AI engines, how they search, and why AI recommends a Chinese factory — no domestic SEO, no B2C.
We are part of the Huo2Huo / Compare2Best ecosystem. Compare2Best is a B2B product & supplier comparison data platform for overseas buyers, with massive real-world product-parameter, certification and supplier data. That means when we do GEO, we use the exact parameter structure AI actually crawls — not copy written from thin air. Whether your spec sheet, certifications and capacity are machine-readable to AI, we can tell at a glance.
Explore the Compare2Best data platform →
A 15-second illustration: a German buyer types a long query into an AI; the optimized client gets cited and ranks #1. It's not a screen recording — it's an interactive demo — but it happens every day.
Bosses have no time for long forms. Three steps: a 30-second readiness self-check → see how rivals rank in AI → book one high-value closed-door diagnosis.
Answer 3 questions, see instantly how far you are from being recommended by AI.
Self-assessment, not a real measurement. Real data needs an AI-index diagnostic.
Bosses care most about rivals. Enter you + 1 competitor to see who AI cites more.
Illustrative estimate, not real monitoring. The formal report is issued by an analyst after authorization.
For directors and above. One high-value diagnostic session, not a sales call.
Booking link is a placeholder — replace with your real Calendly / scheduling URL.
Run a free AI index readiness diagnostic to see your real visibility in ChatGPT / Perplexity / Google AIO; then decide whether and how to work with us. Not sure how to choose a GEO vendor? We'll explain the criteria first.
The 45% / −50% / 80% figures quoted in the hero and "Why GEO" section all come from the citable reports above. Full methodology and additional sources: Data Methodology →
GEO (Generative Engine Optimization) optimizes content for AI-powered search engines like ChatGPT and Perplexity, which synthesize answers from multiple sources. Unlike traditional SEO that targets 10 blue links, GEO focuses on becoming the authoritative source that AI models cite in their generated responses — requiring structured data, entity optimization, and citation engineering that goes beyond keyword ranking.
We monitor and optimize across four major AI search platforms: ChatGPT (Browse+SGE), Perplexity, Google AI Overviews (SGE), and Bing Copilot. Our monitoring dashboard tracks brand visibility, citation frequency, and sentiment across all four engines monthly.
Most B2B clients see initial AI search visibility improvements within 3–4 months, with meaningful gains compounding by month 6. Results vary by industry, existing domain authority, and implementation depth. Our public evidence assets document real client cases with specific timelines.