Arabic News & Discover SEO Editorial Checklist and QA System
Review Arabic publisher pages against practical Google Discover and News editorial and technical checks. Passing this checklist cannot guarantee traffic, eligibility, or legal compliance.
Problem it addresses
Build an exhaustive Google Discover and Google News optimization toolkit for Arabic publishers: 1) editorial pre-publish checklist, 2) Technical template requirements (high-res images, NewsArticle schema, AMP/mobile responsiveness), 3) E-E-A-T author bio and editorial transparency templates, 4) Discover traffic drop recovery diagnostic workflow.
Who it is for
BOTH operating in high-growth e-commerce, digital publishing, and direct-response marketing across Saudi Arabia, UAE, and Egypt.
What is inside
Key files listed in the README repository architecture:
checklists/editorial-prepublish-checklist.mdchecklists/technical-discover-audit.mdLICENSEplaybooks/discover-traffic-recovery.mdREADME.mdtemplates/author-transparency-page.mdtemplates/news-article-schema.jsontests/test_data_integrity.py
How to evaluate and use it
- Read the README first and confirm that the documented problem matches your use case.
- Inspect the listed files to find the data, tools, templates, and tests relevant to your task.
- Follow the repository’s Quick Start and check prerequisites before running commands.
- Compare outputs with documented examples and review limitations before using them in a decision or client workflow.
Quick Start from the README: python -m unittest discover -s tests
Scope and limitations
- High-Resolution Featured Images: Articles require image assets at least 1200px wide with max-image-preview:large robots setting for Discover eligibility.
- Bilingual Editorial Accuracy: News headlines must avoid sensational clickbait while maintaining compelling emotional engagement in Arabic.
- Author Transparency & Schema: Every news item requires explicit NewsArticle schema with Person author entity and publisher verification.
This page summarizes the available documentation; it does not establish performance or business results. Verify data and prerequisites before use.