186 AI-driven inquiries for a lifting equipment manufacturer

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.

Search Console snapshot, last 12 months

This is current Search Console data for the same client property covered in the lifting equipment case study above. The figures in that published case come from an earlier period, so read them as history, not as today's baseline. Over the last 12 months to 2026-09-08, the site earned 14K clicks from 2.26M impressions, a 0.6% CTR, and an average position of 12.7.

The trend is the real story: impressions roughly doubled, from about 4K per day to about 7.5K per day, while clicks stayed roughly flat with a slight upward drift. The site is being shown far more often, but the extra visibility is mostly landing in positions where people do not click. The 16-month view, 18.9K clicks and 3.01M impressions, shows the same shape: reach grew faster than traffic.

Top markets by clicks: US 1,904, India 1,787, Malaysia 695, Australia 658, Indonesia 613, UK 470, Canada 469, UAE 410. Desktop drives 9,731 clicks at position 15.3, mobile 4,179 at position 7.4, tablet 73. The honest read: the program has built real reach, but a 0.6% CTR at position 12.7 means most of that reach sits on page two or low on page one. The next step is moving the pages that already rank between positions 7 and 13, such as the festoon cable and crane limit switch pages, into stronger click positions.