Google Discover Topic Affinity & Hook Predictor
Score headlines and image pairings for user curiosity, topical timeliness, and click-through affinity in Google Discover feeds.
What is the Google Discover CTR Predictor?
The Google Discover CTR Predictor by CompleteSEOTools is an enterprise journalism search engine optimization utility built to optimize breaking news and editorial articles for Google News, Google Discover, Top Stories carousels, and Publisher Center feeds.
How to Use the Google Discover CTR Predictor (Step-by-Step)
Enter Headline & Meta
Enter news headlines, author bio URLs, publication timestamps, or article links.
Generate Schema / Sitemap
Compile Google News XML sitemaps, NewsArticle schema, or Discover CTR scores.
Publish to Feed
Deploy the schema to article pages or submit the news XML sitemap to Search Console.
Google News & Google Discover Guidelines
Success in Google News and Google Discover requires transparent author bylines, verified contact information, high-resolution 1200px 16:9 featured imagery, fast IndexNow/Indexing API notifications, and clean NewsArticle structured data.
Frequently Asked Questions (FAQs)
Engaging 16:9 imagery, personal interest topics, clear emotional hooks, and high freshness signals.