AI SEO Product Listing Automation | Zeona Studio
Fully automated pipeline from Japanese brand scraping to WooCommerce — 2 minutes vs. 60 minutes manual

Project overview
Takes Japanese motorcycle brand product URLs (RS Taichi, Kushitani) and fully automates the entire WooCommerce listing pipeline.
The workflow: scrape product data (name, color, size, stock status, images) → Claude AI generates SEO+GEO product titles, full copy, focus keywords, Yoast meta descriptions, and image alt text → auto-detect product category (including parent category) → build variation products with color/size mapped to live inventory → populate every Yoast SEO field and Open Graph social tags → submit to WooCommerce as "Pending Review" so the admin only needs to set the price before publishing.
Supports full-series batch listing, SKU deduplication (already-listed SKUs are skipped automatically), and season detection from image filenames (Spring/Summer vs. Autumn/Winter). Reduces per-product time from 30–60 minutes of manual copywriting to under 2 minutes, fully automated.
Key features
- Claude AI auto-generates SEO+GEO copy and focus keywords
- Multi-brand scrapers (RS Taichi & Kushitani)
- Variation products with color / size / inventory built automatically
- Full Yoast SEO field population + Open Graph tags
- SKU deduplication & season detection (Spring–Summer / Autumn–Winter)
- Batch listing: 2 minutes vs. 60 minutes of manual work per product
Tech stack
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