Technical optimizations for search engines and AI
Reachability is one of the strongest trust signals for AI models. Learn how to implement ContactPoint schema to increase your reliability.
AI models assess website trustworthiness partly based on technical security signals. Discover which HTTP security headers you need to implement to build trust.
AI models factor content freshness into source selection. Discover how to correctly implement publication and modification dates with structured data and meta tags.
Alt text makes your images accessible for screen readers and understandable for AI models. Discover how to write effective alt text that helps both people and machines.
Duplicate content confuses search engines and AI models. The canonical tag indicates which version of a page is the original. Learn how to implement canonical URLs correctly.
HTTPS and HSTS are more than security measures. They are trust signals that AI models factor in when evaluating your website as a reliable source.
Open Graph and Twitter Cards determine how your content appears when shared on social media and in AI summaries. Learn how to implement these meta tags correctly for maximum visibility.
A correct heading structure is essential for both accessibility and AI readability. Learn how to properly use H1 to H6 tags for maximum impact.
The readability of your content affects how well AI models understand and cite your text. Learn the Flesch Reading Ease formula and optimize your writing style.
Your robots.txt determines whether AI bots can read your content. Learn how to correctly configure GPTBot, ClaudeBot and other AI crawlers for maximum visibility.
Schema.org structured data is the universal language your website uses to communicate with search engines and AI models. Learn to implement JSON-LD for maximum visibility.