Waimao Jiada Ya Google SEO Copywriter

Problem Solved

Foreign trade sites often have target keywords and PDF/Word source material, but directly generated English drafts can suffer from poor readability, weak SEO metrics, and obvious AI writing patterns. This skill turns keywords + source material + Google/Yoast requirements into an executable workflow.

How It Works

• Material extraction: Prefer PyPDF2 or pdfplumber for text extraction; use pdf2image + pytesseract OCR for scanned or image-based PDFs; read Word paragraphs and heading levels with python-docx.
• SEO drafting: Output SEO Title, Meta Description, and URL Slug before the article body; constraints include Flesch 60–70, single paragraphs ≤150 words, keyword density 0.5%–3%, ≥900 words, at least 3 image placeholders, and one authoritative external link placeholder.
• AI-tone removal: Force use of humanize-ai-text to reduce signals such as delve, tapestry, pivotal, I hope this helps, curly quotes, em dash overuse, and Not only... but also constructions.
• File output: Generate {keyword}-seo-article.md and {keyword}-seo-article.docx, with Word output preserving Heading 1/2/3 structure.

Boundaries

Best for initial English SEO drafts, blog pages, or product pages where a promotion keyword and source material already exist. It is not an automatic publishing tool and does not guarantee Google rankings. Images and external links are mostly placeholders and still need manual completion. Complex tables, image-based formulas, or brand compliance reviews should be checked by a human.