Client Background

The client is a global industrial precision components manufacturer and solutions provider. Their core business relies heavily on search engine retrieval (Google Search) and online inquiries from overseas customers.

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The Challenge

Before the reconstruction, the client's existing independent export website faced severe traffic acquisition bottlenecks:

1. Extremely Low Search Engine Rankings: The old website was built on a traditional CMS, loaded slowly, and lacked structured data markup, causing its core product keywords to languish beyond the 10th page in Google searches for a long time.
2. Missing Multilingual SEO: Although their business covers Europe and South America, the old website only had an English version, or used simple machine translation plugins, which could not be effectively indexed by local search engines.
3. Falling Behind in the AI Search Era: With the popularization of AI search tools like ChatGPT and Perplexity, the unstructured content of the old website was completely unable to be effectively crawled and recommended by Large Language Models (LLMs).

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The Solution

After taking over, the Mindrose team used Next.js (App Router) to build a modern multilingual export platform, with "SEO First" and "Extreme Performance" as the core guiding principles.

1. Structured Multilingual SEO Architecture

• Native Multilingual Routing: Built purely static [locale] routing, supporting English, Chinese, German, and Spanish. Each language has an independent URL and hreflang tag, ensuring precise indexing by Google's regional sites.
• Automated Metadata Generation: Dynamically generated deeply optimized Meta Tags, Open Graph tags, and JSON-LD structured data for all product pages and case pages.

2. Extreme Performance Experience (Core Web Vitals)

• Hybrid Rendering Strategy: Adopted React Server Components and SSG, compressing the Largest Contentful Paint (LCP) to under 0.8 seconds.
• Intelligent Resource Optimization: Implemented automatic WebP conversion and lazy loading for images, as well as localized on-demand loading for fonts, completely solving the problem of slow overseas access.

3. Embracing AI Recommendation Engines

We innovatively introduced the linkage of llms.txt and robots.txt in the project root directory, exposing the enterprise's core product parameters and application cases to AI crawlers in the Markdown format most suitable for large language models to read, seizing the traffic entrance of the AI era.

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Results & ROI

After the website went live, the client's digital marketing effects were immediate:

• 🚀 Rapid Ranking Jump: Within just 4 days of launch, the rankings of 3 core product keywords in Google search jumped directly to the top 3 pages.
• 📈 High-Quality Inquiry Conversion: In the first week of launch, high-quality B2B customer inquiries from Germany and Spain were obtained through organic search.
• 📉 Significantly Reduced Bounce Rate: Thanks to the extremely fast loading experience and exquisite Radix UI/Tailwind CSS interface, the website bounce rate dropped from 75% to 32%.

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Client Testimonial

"This is a delivery beyond expectations. We originally just wanted a good-looking new website, but the Mindrose team delivered a precise 'traffic acquisition machine'. Seeing rankings soar on Google and receiving real inquiries within days of launch was unimaginable before. Their profound understanding of SEO and AI search is convincing."

— Helen Zhang, Overseas Market Operations Director

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Tech Stack

• Frontend Framework: Next.js (App Router), React, TypeScript
• UI Components: Tailwind CSS, Radix UI, Shadcn UI
• Content Management: File-system based multilingual Markdown architecture
• SEO Tools: Dynamic Sitemap, JSON-LD, llms.txt