Insights on AI readiness, AEO and digital strategy
Google's Agent-to-Agent (A2A) protocol defines how AI agents communicate with each other. Discover what this means for your website and how you can prepare.
Reachability is one of the strongest trust signals for AI models. Learn how to implement ContactPoint schema to increase your reliability.
With sameAs links in your Schema.org markup you connect all your digital profiles into a unified identity. Learn how AI models use sameAs to verify your authority.
AI models assess website trustworthiness partly based on technical security signals. Discover which HTTP security headers you need to implement to build trust.
Each AI model discovers, processes and cites web content differently. Learn the differences between Perplexity, ChatGPT and Gemini so you can optimize your content for maximum visibility.
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.
AI agents need standardized authentication to communicate securely with your website. Learn how OAuth discovery and Protected Resource metadata make this possible.