Sharing this in case it's useful to others thinking about AI visibility. You paste a URL and it fetches the raw HTML an AI agent actually reads for citation, renders the full page a human sees, and shows you what falls through the gap (including JSON-LD / structured data). It's free to try here: https://axp.thepublive.com/audit...

Would genuinely love feedback on what checks you'd find most useful. What's the biggest gap you've seen between how your site reads to humans vs. to a model?

With more people getting answers directly from AI assistants instead of clicking through search results, it's becoming important to know how an AI agent actually "sees" and interprets your website. AI Content Visibility Grader is built around exactly this idea. Curious to hear from this community: how are you thinking about visibility in AI-generated answers versus traditional SEO? Have you noticed AI tools misrepresenting or missing key parts of your content?

Something I keep running into: content that reads great for humans isn't always what an AI agent picks up on. Structure, headings, and clear summaries seem to matter a lot more when a model is parsing a page. I'd love to hear how others here approach this. Do you write differently for AI crawlers and assistants, or do you rely on tools to check how your pages are interpreted? Trying to figure out where AI Content Visibility Grader fits into that workflow.

If you could hand your website to an AI agent and get a report back, what would be most useful to see? A few things that come to mind for me: whether key facts (pricing, product name, what the company does) are easy for a model to extract, whether important content is buried in scripts or images, and how clearly the page answers common questions. Curious what checks this community would find most valuable, and whether there are gaps in existing SEO tools that a tool like AI Content Visibility Grader could fill.