Summary

diznew.com is a comparatively mature Chinese custom denim and jeans B2B supplier website. It already communicates custom jeans manufacturing, low MOQ, sampling, production capacity, certificates, FAQ, product categories, blogs, privacy/terms pages, sitemap coverage, security headers, and several structured data types. The largest business issue is not basic content volume, but whether inquiry capture and product-level machine-readable evidence are strong enough for CRM attribution, automated QA, search engines, and AI procurement assistants.

Key Findings

• Homepage returns HTTP 200 with a strong title, meta description, and H1 around custom jeans manufacturing.
• About, contact, product list, product category, production capacity, certificates, quality statement, FAQ, privacy, terms, robots.txt, and sitemap.xml were publicly accessible during sampling.
• Sitemap contained about 2006 URLs, including core pages, product pages, and blog/content pages.
• FAQ page outputs FAQPage / Question / Answer structured data; core pages output Organization, WebSite, BreadcrumbList, ContactPage, Corporation, and related schema types.
• Sample product page includes visible procurement facts such as OEM/ODM service, fabric, MOQ 30 pcs, FOB ports, payment terms, download, and Contact Now.
• Sample product page did not expose a clear Product JSON-LD type during sampling.
• Contact and inquiry areas display fields and SEND actions, but no standard form element was detected in static or browser DOM checks; inquiry inputs lacked stable name attributes.
• Product page Contact Now points to /sendinquiry.htm?idlist={18503321}; robots.txt disallows /sendinquiry.htm and /order-request.htm.
• Mobile product detail page showed horizontal overflow and the Cookie settings layer covered product information in the first viewport.
• Common security headers including HSTS, X-Content-Type-Options, X-Frame-Options, and a CSP report-uri were observed.

Recommended Next Steps

• Make Contact / SEND / sendinquiry modules auditable with stable field names, product context, UTM/source/referrer, and a visible success/failure state.
• Add Product JSON-LD to product detail pages and map visible facts such as MOQ, fabric, custom options, FOB/payment, brand, and category.
• Fix mobile product-page horizontal overflow and reduce Cookie layer obstruction on the first viewport.
• Explain the product-level RFQ flow directly on product pages: what to submit, response time, sample process, and bulk-order steps.
• Strengthen certificate pages with H1, certificate name, issuer, validity, scope, document/alt text, and product/material relevance.
• Track Contact Now, SEND, attachment, WhatsApp, download, sample request, and quote events.
• Review multilingual hreflang, x-default, canonical, and alternate-domain handling.
• Correct product data spelling and normalize procurement fields, including Accept Custom.
• Add llms.txt as a concise AI discovery index for company, products, certificates, FAQ, quality, cooperation, and contact pages.
• Connect blog and trend content to a clearer buyer journey from trend article to custom process to product page to RFQ.