University of Exeter|GEO & SEO Search Strategy in the China Market
The University of Exeter is a member of the UK’s Russell Group.
Nanjing Marketing Group supported its 2026 MSc Metamaterials program (a highly specialized STEM field subject) with a structured search content strategy for the Chinese market.
In China’s search environment, highly specialized academic programs often face a paradox: search demand exists, but high-quality Chinese-language content is limited, resulting in low visibility.
Our objective was to build a clear keyword structure for the program, ensuring that prospective applicants could discover it through search.
What did we do?
Identifying Keyword Opportunities
During Baidu keyword research, we found that high-quality Chinese content related to “MSc Metamaterials” was extremely limited.
This indicated low competition while still reflecting real search demand.
Based on this gap, we intentionally expanded both core and long-tail keywords to capture different layers of search intent:
- MSc Metamaterials
- UK MSc Metamaterials Application
- MSc Metamaterials Entry Requirements
- Can cross-disciplinary students apply for MSc Metamaterials?
These queries directly correspond to how Chinese applicants typically search for overseas programs.
Layered Content Structure
We produced two complementary original articles.
The first focused on application-related questions, including entry requirements, curriculum structure, and scholarship information.
The second emphasized program value, highlighting CMRI’s research strengths and its industry–academia integration model.
This structure addressed both “Can I apply?” and “Is it worth applying?”—closely reflecting real-world search behavior.
Multi-Platform Publishing and Optimization
The content was published on Sohu, Baijiahao, and Zhihu.
For each platform, we adjusted headlines and opening sections to better align with the users’ reading habits and search logic.
While the core information remained consistent, we avoided simple duplication to improve indexing efficiency and ranking stability.
Search-Friendly Content Structure
The articles were structured with clear subheadings, short paragraphs, and bullet points; keywords were integrated naturally rather than artificially inserted.
This format improves both readability and search engine crawlability.
What Does This Post Teach Us About Marketing on Chinese Social Media?
Niche Programs Often Present Keyword Opportunities
In China’s search ecosystem, highly specialized overseas programs often feature less common keywords. Identifying these gaps early allows brands to establish visibility with relatively low competition.
Search Behavior Is Stage-Based
Chinese applicants typically begin by assessing eligibility, then move toward evaluating program value and career outcomes. Content that reflects this progression aligns more closely with real search intent.
Content that reflects these different stages is more likely to match search intent.
Platform Differentiation Improves Visibility
Different platforms vary in authority and content preference.
Tailoring headlines and structure—while maintaining consistent messaging—helps improve indexing and expand reach across platforms.
The Importance of GEO Is Increasing
As AI-powered search tools become more widely adopted in China, more users are turning directly to AI to summarize answers instead of browsing traditional search results.
This means content must not only rank on traditional search engines but also be structured clearly enough for AI systems to extract information and summarize effectively.
Clear question framing, structured information, and precise keyword positioning all improve visibility in AI-driven search environments.
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