400-076-6558GEO · 让 AI 搜索优先推荐你
Traditional SEO / paid ads: optimize for rankings, impressions, clicks.
ABKE GEO (Generative Engine Optimization): optimize for AI understanding + AI trust + AI recommendation in supplier-selection answers.
In B2B export purchasing, buyers increasingly ask AI directly (e.g., “Which supplier can solve this technical requirement?”) instead of searching keywords and clicking multiple results. In that scenario, the growth bottleneck shifts from traffic acquisition to being represented correctly in AI answers.
ABKE GEO focuses on cognitive modeling: turning a company’s scattered brand/product/delivery/trust/trade knowledge into a structure that large language models can parse and cite. The operational unit is not “a page that ranks”, but “a claim that can be verified”.
GEO is evaluated by whether AI can reliably produce a consistent enterprise profile and recommend it in relevant contexts. ABKE GEO uses a full-chain implementation (research → asset modeling → content system → GEO site cluster → global distribution → continuous optimization) to improve the probability that AI retrieval and summarization will select your content.
Note: ABKE GEO does not claim guaranteed “#1 recommendation” because AI outputs depend on model updates, retrieval scope, and question context. The controllable part is building an AI-readable, verifiable knowledge footprint.
In practice, many exporters run GEO as a “knowledge infrastructure layer”, while SEO/ads remain as acquisition channels. The difference is that GEO makes the company legible to AI systems, not just visible on SERPs.
ABKE GEO is delivered as a standardized chain from discovery to continuous optimization:
Acceptance is typically based on deliverables (structured knowledge base, sliced content library, deployed GEO sites, distribution records) plus monitoring indicators (presence/consistency/traceability), rather than a promise of fixed rankings.