About AI Readiness Check

AI Readiness Check looks at how AI systems — training crawlers, citation crawlers, and AI-powered search tools — actually interact with a news website. Not how the site looks to a visitor. How it looks to the automated systems increasingly deciding what gets trained on, what gets cited, and what gets seen.

It checks crawler access and licensing signals, attribution and structured-data markup, and runs a real-world test of whether AI-powered search tools actually cite the site's journalism. Every scan produces a plain-language report with prioritized, role-specific next steps — built for publishers, editors, and technical teams, not developers.

AI Readiness Check was built independently by Yoni Greenbaum, a product strategist with nearly 30 years of newsroom experience. It's a personal project, built on personal time, and isn't affiliated with or endorsed by any employer.

Have a question, found a bug, or want to talk about what this could do next? See Contact.

Why this is free

AI Readiness Check is free for every newsroom, always. This report exists to make AI-crawler exposure visible — not to sell you a fix. There’s no paywall on individual site reports, no upsell, no “premium tier” for the core check. If you’re a press association, chain, funder, or coalition that needs batch analysis across many properties, that’s a paid service — but the single-site report stays free for everyone, forever.

AI Readiness Check

AI Readiness Check evaluates crawler access, licensing and rights signals, attribution markup, and real-world AI citation performance — using a proprietary analysis of publicly accessible site data. Free for every newsroom, always — this report exists to make AI-crawler exposure visible, not to sell you a fix.

AI Readiness Check is part of the local-news viability ecosystem designed and built by Yonatan Greenbaum.

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