Free AI Content Readiness Checker

What content readiness means, and what an AEO checker can and cannot tell you.

Readiness is a question about the page, not about the writer. Here is what a page needs before Google or an AI assistant can use it well, which of those things this checker reads, and where the honest limits sit.

Readiness, not detection

Search "AI content checker" and most of what comes back are detectors: tools that estimate whether a model wrote a piece of text. This is a different question. A readiness check asks whether a page, whoever or whatever drafted it, is built so that a search engine and an AI assistant can fetch it, understand what it is about, lift a clean answer from it and tell who stands behind it. A page written entirely by hand can fail every one of those. A page drafted with a model and edited by an expert can pass them all.

That makes the checks concrete. There is a title and a description that fit where they are shown. There is one main heading and a sensible run of section headings. The text is in the HTML the server sends. The first paragraph answers something. Key terms are defined. The author is named in a way a machine can read, with dates beside the content. Each of those is a thing you can look at and fix, which is the only kind of AI readiness checker worth running.

First, can anything reach the page?

Readiness starts before the content. A page an assistant's crawler is turned away from, or one that tells search engines not to index it, is out of the running however good it is. This checker reads the page-level signals: whether it is set to noindex with a robots meta tag, whether it redirects, whether it has a canonical tag naming the preferred URL, and whether it is served over HTTPS. The site-level question, which AI crawlers your robots.txt lets in by name, is a separate file with its own tool: the AI Crawler Checker reads it for the whole site, and the AI Crawler Access Checker answers it for one URL. Run one of those first if you have never looked.

The words have to be in the HTML

This is the table-stakes point most people skip. Many sites build the visible page in the browser: the server sends a shell and a script fills in the article. A person sees the full page. A crawler that does not run the script sees the shell. Googlebot renders JavaScript, on its own schedule. Most AI crawler operators do not document whether theirs does, so you cannot count on it. The safe position is that the answer you want quoted should arrive in the first response.

That is exactly what this checker reads. It makes one request, keeps the HTML the server returned, and runs every check against it with no browser involved. If your page scores oddly low on word count or headings while looking complete on screen, that gap is the finding: the content is there for people and missing for anything that reads the raw response.

Headings: one h1, then real sections

Headings are the outline a machine sees first. The checker asks for exactly one h1, flags a page with none and a page with several, and notes when the h1 repeats the title tag word for word. Among the article checks, the structure check asks for at least two h2 sections. Section headings that name the question they answer give an assistant a clean place to cut, which is why the checker also looks for a page of question-shaped headings with no FAQPage markup. The Header Tag Checker shows the full heading tree if you want to see the outline itself.

Using it as a GEO checker: the answer-structure checks, one by one.

The AI answers dial is made of six checks, and it only runs on a page that reads as an article. It measures one thing: structure that is easier to quote. It does not measure, and cannot measure, whether any assistant will actually cite the page. Nobody outside those companies can see that decision, and a tool that claims to score it is guessing. What can be counted is whether the page offers the kinds of passages that are simple to lift intact. These are the six, with the thresholds they use.

The 30-to-120-word intro is Verand's rule of thumb, not a published standard. You will see other tools say the answer belongs in the first 100 words; that figure is a heuristic too, and nobody has shown a cut-off. The point both are reaching for is simple: the first paragraph should answer the question the page is named for, instead of warming up to it.

Structured data says what the page already says

JSON-LD is a block of machine-readable facts in the page's source: this is an article, this person wrote it, it was published on this date, it was changed on that one. The checker confirms every JSON-LD block parses, because one malformed block means none of its markup can be read, and on articles it asks for Article schema, author entity links (sameAs) and citation markup. What structured data does is make the page easier to read correctly. It is not a lever that puts a page into AI answers, and it cannot state anything the visible page does not. The Schema Checker lists every type a page declares.

Who wrote it, and when

On an article, ten checks feed the E-E-A-T dial: a named author in the schema, the author's credentials, first-person experience in the prose, a reachable author bio, published and modified dates, citation schema, whether the article cites sources at all, whether any of those sources are authoritative, entity links on the author, and a copyright or "last updated" year that is not stale. These are the signals a reader, a search engine and an assistant all use to decide whether the page is someone's considered view or anonymous filler. The E-E-A-T Checker runs the same set on its own, with more on what each one reads.

The date and the qualifier: what short answers can strip

Most readiness advice pushes one way: shorter, more direct, answer first. For a financial adviser, a law firm or a clinic, that pressure has a cost. The sentence that makes an answer extractable is often the sentence that has lost its qualifier: "a Roth conversion avoids tax" instead of "a Roth conversion can reduce tax later, depending on your bracket now and in retirement." The first reads as more quotable. The second is the one your regulator expects.

Two parts of that this checker does read. Dates: the freshness check wants both datePublished and dateModified in the Article schema, and a separate check flags a copyright or "last updated" year two or more years old, so the answer does not travel without its age. What it does not read is whether a required qualifier sits next to the answer, or whether the disclosures your industry expects are on the page at all. Those need a ruleset for your industry, which is what the Disclaimer Checker and the Marketing Compliance Checker apply. Keep the answer first and keep its condition in the same sentence; a quotable answer that drops the condition is not an improvement.

Where llms.txt fits

An llms.txt file is a plain list, at the root of your site, of the pages you consider your best and most carefully reviewed. It is a site file, not a page, so this checker does not read it. It is also optional: no major assistant has confirmed it reads the file, so treat it as a tidy index you control rather than a switch. The llms.txt Generator writes one from a crawl of up to 25 of your pages.

Common reasons a page scores lower than it should

• Several h1 tags. Page builders often style every big line as an h1. One names the page; the rest belong one level down.
• The intro warms up. A first paragraph of 150 words of context before any answer misses the structure check, and it is also the paragraph most likely to be quoted.
• A byline only people can see. A name in the design with no Article schema behind it reads as no author to anything parsing the page.
• No dates in the schema. A visible "updated March 2026" is good for readers. The freshness check reads the JSON-LD, so both need to be there.
• Content built by script. The page looks full in a browser and thin in the served HTML. Word count and headings will tell you.
• Checking the homepage. A homepage never reads as an article, so the answer-structure and authorship checks do not run. Paste an article to see all 42.

What a pass does and does not mean

A high score means the page is fetchable, correctly described, cleanly structured and clearly attributed, as far as deterministic checks can see. It does not mean an assistant will quote it, and it does not mean the content is right. Accuracy, depth and whether the page answers the question better than the pages around it are editorial judgements. This on-page SEO checker clears the ground so those judgements are the only thing left to work on.