AEO & Schema Checker

What answer engines actually read

When a model decides whether to quote a page, it leans on structure a person skims past: a clear title and single H1, headings phrased the way a question is asked, JSON-LD that states what the page is, and an identified publisher behind it. This checks those, plus whether the site carries an llms.txt file at its root.

None of this is a ranking score, and it does not promise a citation. It tells you whether the page is legible to a machine that is trying to extract an answer, which is the necessary first step before any of the rest can happen.

Why the question-shaped headings matter

A model answering a question looks for a passage that already answers it. A heading that reads how do I reduce cart abandonment, followed by a direct answer, is far easier to lift than the same content under a heading that reads cart optimisation. The tool counts those headings because their absence is the most common reason a genuinely useful page never gets quoted.

The llms.txt part

llms.txt is an emerging convention for telling AI crawlers, in plain markdown, what a site contains and where the important pages are. Almost no Indian site has one, which makes it a cheap first-mover signal. We publish one on this site, and the tool checks whether yours does too.