Client Background:
The client is a jewelry manufacturer and exporter specializing in piercing jewelry (ear studs, earrings, nose studs, belly button rings) as well as conventional jewelry (necklaces, bracelets, rings). Its products are sold worldwide, covering Europe, America, Southeast Asia, and the Middle East. To strengthen brand presence in global markets, the client aimed to leverage GEO to increase visibility in AI-driven search results (e.g.ChatGPT).

  

Challenges:

• Intense Industry Competition
  The jewelry market is saturated with suppliers, and e-commerce has intensified competition for AI search rankings. For high-volume queries like “fashion jewelry procurement” or “recommended jewelry manufacturers,” the client had minimal brand mentions, making it hard to reach target buyers.
• Complex Product Details, Low AI Accuracy
  Jewelry involves diverse materials, craftsmanship, and design trends, with strong regional differences in consumer preferences. Generic AI content often misrepresented product details or mismatched styles with local aesthetics. The client’s self-published content lacked structure and semantic depth, limiting AI citation and failing to highlight core values like exquisite craftsmanship, personalized customization, and trend-driven designs.

Solutions:

We designed a RAG-driven, full-process GEO strategy, including:

• Industry Knowledge Base Development
  Integrated global jewelry standards (e.g., precious metal purity, eco-material certifications), regional trend reports, client product parameters, and success cases (e.g., customized limited-edition series for an international brand). This formed a knowledge base supporting precise AI content generation.
• RAG + Human Editing
  Used a proprietary GPT system with RAG to generate professional content—product showcases, design concepts, market analyses—then refined by editors for accuracy, fluency, and alignment with international customer expectations.
• Content Structuring & Semantic Optimization
  Applied Schema markup to product and case pages, labeling materials, styles, certifications, and customization services to improve AI recognition and search intent matching.
• Multi-Platform Distribution
  Distributed content across platforms like Wikipedia, Pinterest, and Quora to build cross-platform authority signals, enhancing AI trust in the brand.
• Technical Website Upgrades
  Improved loading speed (image compression, CDN), optimized for all devices, and restructured URLs, tags, and metadata. Built a content matrix linking product, design, case, and service pages, improving AI crawling efficiency.
• Continuous Monitoring & Iteration
  Tracked brand citation frequency, core query inclusion, and “clickless conversions” in AI. Adjusted strategies dynamically in response to AI algorithm updates.

Results:
From July 1, 2023, to September 30, 2024 (15 months):

• Significant Growth in Inquiries
  AI-driven inquiries reached 268, accounting for 42% of total inquiries.
  70% came from Europe, America, and the Middle East.
  Inquiry-to-order conversion was 35% higher than traditional channels.
  High-value orders focused on personalized custom jewelry and premium fashion lines.
• Enhanced Brand Influence
  Consistently ranked in the top 5 AI answers for core queries.
  AI content highlighted brand strengths: craftsmanship, trend-driven design, customization services.
  International recognition and credibility increased significantly.

Client Background:
The client is a manufacturer specializing in the R&D, production, and international trade of cranes and lifting equipment. Core products include electric hoists, manual hoists, chain hoists, lever hoists, winches, lifting clamps, beam trolleys, and jacks, which are widely utilized in industries such as manufacturing, construction, logistics, warehousing, and port operations. The client's primary objective is to leverage Generative Engine Optimization (GEO) to to increase brand visibility and citation rates in AI engines (e.g ChatGPT). They wanted official brand information, product advantages, and website links to be prioritized in AI-generated answers—driving international exposure, attracting high-quality inquiries, and forming a closed loop of AI traffic → inquiries → orders.

 

Challenges:
- Intense Industry Competition
The global lifting equipment market, especially in the “Made in China” segment, is crowded with suppliers competing for visibility in AI engines. Without dedicated optimization, the client’s brand appeared in less than 1% of AI-generated results, severely limiting exposure.
- Low AI Content Relevance
Lifting equipment involves highly technical details—mechanical structures, safety standards, certifications, and customization. Generic AI content often contained errors. The client’s self-published content lacked semantic relevance and structure, making it hard for AI to capture and cite effectively.
- Diverse Market Demands
Target regions included Europe, North America, Southeast Asia, and the Middle East, each with distinct buyer concerns (e.g., CE certification in Europe, cost-effectiveness in Southeast Asia). A one-size-fits-all optimization model failed to meet multi-market needs.

 

Solutions:
Leveraging GEO expertise and 8 years of international trade marketing experience, we developed a RAG-driven, full-process GEO optimization plan

RAG Technology for Accurate, Professional Content：
Industry Knowledge Base: Integrated global standards (ISO, CE, OSHA), regional requirements, product specifications, and case studies (e.g., customized explosion-proof winch for a European client).
AI Generation + Manual Editing: Used an enterprise GPT system with RAG to generate precise product and solution content, then refined by professional editors to ensure accuracy, fluency, and alignment with international customer reading habits.

Comprehensive GEO Optimization：
Content Structuring and Semantics: Applied Schema markup to product and case pages, labeling certifications, specs, pricing, and after-sales details; expanded long-tail keywords to align with buyer intent.
Multi-Platform Distribution: Published on Wikipedia, Quora, Medium, PR Newswire, and other platforms where industry buyers are active—building cross-platform authority signals that strengthen AI trust.
Technical Enhancements: Improved website speed, mobile performance, and internal linking to create a connected content matrix, boosting AI engines’ efficiency in crawling and citing official pages.

Continuous Monitoring and Strategy Iteration:
Effect Monitoring: Through the GEO monitoring system, regularly track indicators such as the inclusion of core questions in engines such as ChatGPT, brand citation frequency, and clickless conversion rate (the number of times client information is directly recommended by AI), and form monthly data reports.

 

Results:
1.Surge in Qualified Inquiries
AI engine–driven inquiries reached 186, accounting for 35% of all inquiries.
62% came from Europe and North America, with a 28% higher conversion rate than traditional channels.
Most orders were for high-value products, including customized electric hoists and explosion-proof lifting equipment.
2.Stronger Brand Authority
The brand consistently ranked in the top 3 AI-generated answers for core queries.
AI content actively highlighted the client’s core advantages, boosting international recognition.
3.Sustained Long-Term Gains
Following Google’s AI algorithm update in March 2024, the client’s citation rate remained stable and even increased 15% month-on-month, thanks to multi-platform authority signals.
Overall, GEO helped the client break through traditional foreign trade bottlenecks, secure generative AI search visibility, and achieve a closed loop of brand exposure, qualified inquiries, and business growth—offering a scalable model for other lifting equipment exporters in the AI era.