AI readiness scorecard · free
Is your site AI-ready?
An AI readiness check reviews controllable technical inputs: search and retrieval access, initial HTML, structured-data validity, sitemap discovery, and page metadata. It does not pretend technical readiness guarantees recommendation.
The whole plumbing check in one pass
This is the free, deterministic half of what a Ron audit checks before it ever asks an engine a question. It runs the four individual checks at once, adds sitemap and meta completeness, and rolls them into a single AI Readiness Score with a pass, warn, or fail on each line.
It is the natural place to start. One input, and you see every technical gap that would keep AI engines from reading you properly, ranked so you know what to fix first.
What the scorecard covers
- ✓AI search access: are documented search and user-retrieval agents allowed, with training choices reported separately.
- ✓Render readability: does your real content ship in the raw HTML.
- ✓Structured data: which schema.org types are present and whether the JSON-LD parses. Missing optional types do not lower the score.
- ✓Sitemap discovery, plus an informational llms.txt note that does not affect the score.
- ✓Title, meta description, and OpenGraph completeness.
- ✓Your top 3 fixes, ordered by severity and weight.
Free here, deeper in the audit
Your plumbing score tells you if AI can read you. It is necessary, not sufficient. The full audit tells you what the engines actually say once they can, names the competitors winning your queries, and ranks the fixes. $39, once.
Questions
What's a good AI readiness score?
A high score means the checked technical inputs look healthy. Review every failed line because one access, rendering, sitemap, or metadata problem can matter more than the aggregate score.
Is a perfect score enough to rank in AI answers?
No, and the tool is honest about that. A clean score means engines can read and parse you. Whether they mention and recommend you is a separate question the full audit answers.
What do the three statuses mean?
Pass means the check is solid, warn means it works but could be better, and fail means it's actively holding you back. Fixes are sorted so the fails come first.
How is this free when other audits cost money?
Because every check here is deterministic: fetch a file, parse it, score it. No AI calls, so no cost to run. The paid audit is the part that needs 36 grounded model queries.
Keep going
Plumbing's scored. Now hear what the engines say.
~5 min scan · $39 · refunds if useless
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