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[ ONSING BLOG ]
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我是 Onsing，My Skill Set: B2B Growth | China Market Entry & GEO (AI Search) | Content Marketing

最新文章

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#GEO#China Pharmaceutical AI Search#Pharmaceutical AI#Healthcare AI#Pharmaceutical Knowledge Governance#Healthcare Ontology#AI Search Optimization
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China Pharmaceutical AI Search Landscape 2026: What 125,000 AI Responses Reveal

In Q2 2026, Sinohealth MedCortex analyzed approximately 125,000 health-related queries across five major Chinese AI platforms and five leading pharmaceutical categories. The study found that retail market leadership does not automatically translate into AI visibility, AI typically organizes medication within broader healthcare decision pathways, and 95.0% of responses reached a drug-selection direction while only 29.1% reached a commercial brand. This article examines what these findings mean for pharmaceutical GEO, healthcare ontology, and the shift from content visibility to structured pharmaceutical knowledge governance.

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#AI Search Monitoring#GEO#AI Search Analysis#Vertical GEO
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Vertical GEO is not just generic GEO applied to an industry

Generic GEO methodologies — built around user prompts as demand input, visibility and SOV as core metrics, and content distribution as deliverables — fit B2C exposure but map poorly to vertical industries. In pharmaceuticals, industrial goods, finance, and law, demand is better read from market data than from lagging prompts, and competition happens on the intermediate "semantic bridges" AI must traverse rather than at the endpoint of recommendation. Vertical GEO therefore requires different deliverables (authoritative-content restructuring, bridge coverage), different evaluation standards (accuracy, authority, scenario match over mention frequency), and a different supply chain (domain expertise plus AI-visibility technology, not a transplant of generic GEO skills).

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#AI Search Monitoring#GEO#AI Search Analysis#CASE STUDY#EN BLOG
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2026 Q1 GEO Case Study: Which Laptop Brands Win in China's AI Search — and Why

This study investigates laptop brand visibility across Baidu AI, DeepSeek, and Doubao. It finds that Lenovo and ASUS dominate visibility, while other brands perform variably. Platforms rely on different sources, such as Toutiao for Doubao and tech media for DeepSeek. The research highlights that GEO strategies must focus on content structure, source distribution, and aligning with user intent to improve visibility and ranking.

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#AI Search Monitoring#GEO#Prompt Engineering#EN BLOG
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AI Search Monitoring & Analysis: Designing Prompts That Capture Real User Questions

This article discusses the importance of prompt design in AI search analysis, noting that keyword-based approaches are often incomplete. The author proposes a semantic network framework consisting of four layers: Contextual Framework, Subject Attributes, Solutions & Actions, and Value Stack. By combining these layers with specific prompt templates—such as scenario-driven or problem-solving structures—businesses can more accurately capture user intent and monitor brand visibility. This method is crucial for analyzing AI responses and optimizing strategies in the Chinese market.

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