--- title: "We Read 14 Free AI Readiness Checkers. None Of Them Check Your Content." url: https://hostmy.blog/ai-readiness-checkers/ date: 2026-09-06 modified: 2026-09-03 lang: en author: "Aditya Sharma" description: "Fourteen tools will grade your site for AI search. Not one reads a sentence, not one writes the fix, and most judge a 500 post site on its homepage." categories: - "Data Studies" image: https://hostmy.blog/wp-content/uploads/2026/09/hmb-card-1839-1024x538.jpg word_count: 1914 --- # We Read 14 Free AI Readiness Checkers. None Of Them Check Your Content. Fourteen free AI readiness checkers now exist, and not one of them looks at a single sentence of your writing. Every one grades your headers, your robots.txt, your schema and your markup. None grades the thing that gets quoted. We put each of them through the same set of sites. The results were remarkably consistent, which is its own finding: a category of tools that all measure the same easy things and all skip the same hard one. Here is the list, so nobody thinks this is aimed at one vendor. ## The fourteen | Tool | Broadly checks | | ---- | -------------- | | Search Engine Land's checker | Crawler access, markup basics | | Cloudflare | Agent access, a 0 to 5 level | | Frase | Content structure signals | | SiteSpeakAI | Crawlability and bot access | | GEO Metrics | Structure and visibility signals | | LLMClicks | Access and formatting | | RankPrompt | Structure, headings, markup | | SEOJuice | On-page and technical signals | | LLM Pulse | Access and presence checks | | Sourceable | Structure and citation formatting | | Chat Thing | Bot access and crawlability | | Custom Web Audits | Technical audit signals | | llmstxtgenerator.de | Generates and checks llms.txt | | acceptmarkdown | Markdown negotiation support | Two of these are generators rather than graders. They are in the set because site owners use them as a readiness check, and because they shape what people believe readiness means. Across the wider set of fourteen tools and generators, thirteen never say the word "WordPress" anywhere in their output or documentation. WordPress runs a plurality of the web. A tool that cannot name the platform its user is on cannot say what to change on Tuesday morning. ## How we ran this The method was deliberately boring. Same sites, same day, same order, every tool run against the site root as a site owner would run it, with default settings. Default settings matter. Almost nobody changes them, and a tool's defaults are its real opinion about what counts. Several will crawl deeper if you pay. The free default is what the market experiences, so that is what we recorded. Three things were logged for each tool: how many URLs it fetched, what it reported, and whether the output contained any assessment of the words on the page. The third column is empty for all fourteen. Worth saying plainly: every one of these tools works. They do what they claim in their own terms. The complaint is about what the category has decided readiness means, which is a much longer list than [the four things an assistant checks before it quotes you](/ai-seo-checker-curl/), and about site owners reading a green score as an answer to a question the tool never asked. ## Failure one: they grade your homepage Most of these tools scan between one and three URLs. Usually that means your homepage, sometimes your homepage plus whatever it links to first. Now hold that next to the citation data. In an analysis of 153,425 citations across six AI platforms, homepages accounted for roughly 4 percent of all citations. Not forty. Four. So the standard scan examines the page type that receives about one citation in twenty five, then reports a score for the whole site. If you run a 500 post blog, your homepage is a shop window. The content that gets quoted sits at post 214, three levels deep, published eighteen months ago, and no free checker in this category has ever loaded it. Where citations came from, against where the checkers look Where citations came from, against where the checkers look Deep posts and archive pages about 96% Homepage about 4% Most free checkers scan one to three URLs per site, usually starting at the homepage. The page nearly every free checker scans is the page least likely to be quoted, so a green verdict describes about 4% of your citation surface. ## Failure two: nothing reads a sentence This is the one that matters, and it is unanimous. Zero of the fourteen do passage-level analysis. The same 153,425 citation set found that the unit being quoted is the sentence. Mean cited sentence length was 9.27 words. The median was 10. The longest cited sentence in the entire set was 18 words. The 6 to 10 word band alone carried 45.2 percent of all citations. That is a measurable, editable property of your text. It is also completely invisible to every tool in the table above. A page can pass all fourteen checkers with green ticks while every sentence in it runs 27 words and sits above [the observed 18 word ceiling](/18-word-ceiling/). Position is skipped too. In that citation set, 41.9 percent of citations came from the first 30 percent of a page, and the mean cited-sentence position sat 37% down the page. None of the checkers report where your quotable material sits. Several will happily tell you that you have an H2. Readability gets skipped in a more interesting way. Cited pages split bimodally: 22.9 percent were very easy reading with a Flesch score above 90, and 20.5 percent were very confusing at under 30. Only 2.6 percent sat in the 50 to 59 middle. Median was 66.4. A tool that reported one readability number and told you to aim for the middle would be pointing you at the thinnest part of the distribution. ## Failure three: none of them write the fix Every tool in the set outputs a diagnosis. Not one outputs the corrected text. You get "improve content structure". You get "add FAQ schema". You get a red X next to "answer-ready formatting". Then you close the tab, open your post, and stare at nineteen hundred words with no idea which of them are the problem. The gap between knowing your sentences are too long and having them shortened is the entire job. Handing back a scorecard and calling it done is a doctor naming your condition and walking out. Compare against sequential heading structure, where the same citation research found a 2.8x lift for pages with properly sequenced headings. That is actionable. It says use fewer headings, in order. No checker in the set says that, because none of them read the number. ## Cloudflare's is the odd one, and the most interesting Cloudflare's checker deserves separate treatment because it behaves differently from the rest. It returns a Level from 0 to 5 rather than a percentage. That is more honest, since a percentage implies a precision nobody in this field has earned. A level is a band, and bands are what the evidence supports. The strange part: its default scan does not check llms.txt at all. Given that half this category exists to sell you an llms.txt file, the biggest infrastructure company in the set quietly leaving it out of the default is a signal worth reading. Our own view on that file is in [what the adoption studies actually found](/llms-txt-does-not-work/), and it lands in a similar place. Cloudflare's tool is also the one most likely to catch a real problem, because it approaches from the network side. Access failures are common and invisible from inside WordPress, the subject of [a host refusing crawlers without telling you](/host-blocking-ai-crawlers/). ## What these tools are actually good for This is not an argument for ignoring them. They are useful inside a narrow band. **Worth running them for:** - A fast check that crawlers are not blocked at the robots.txt level - Confirming schema is present and parses - Catching a missing canonical or a noindex left on after a migration - A second opinion on markup you have already validated elsewhere **Not worth expecting from them:** - Any judgement about your writing - Any judgement about pages other than the two or three they fetched - A fix - A number you should report to anyone Run one, take the technical flags seriously, and throw the score away. The score is a summary of the checks the tool happened to implement, which is a different thing from your readiness. A separate category of paid tools watches whether assistants mention you at all, and [what prompt monitoring buys you](/ai-visibility-tools/) is worth understanding before you pay for it. A related trap: two tools scanning the same site will disagree, and the site owner cannot adjudicate. One weights bot access, another schema, a third heading structure. Each produces a number on a different scale, from a different sample of your pages, against a rubric none of them publishes. Averaging them produces nothing, and picking the highest is what most people do. Our [tool by tool scoring breakdown](/ai-readiness-checker-comparison/) shows where the disagreements come from. ## The WordPress gap is not a detail Thirteen of the fourteen tools and generators never mention WordPress. That looks like a trivia point and it is not. Advice only becomes action when it names the surface it applies to. "Add sequential heading structure" is a sentence. "Your theme is outputting an H4 in the post meta above your H2, fix it in the template part" is a task someone can complete before lunch. The gap between those two is where most audit output dies. The same applies to crawler rules. Telling a WordPress user their robots.txt is wrong, without saying whether it is a physical file, a virtual one, or one overwritten by their SEO plugin, hands them a puzzle rather than an instruction. Platform-blind tooling produces platform-blind advice, and platform-blind advice does not get implemented. The score gets screenshotted and the site does not change. ## What a real check would have to do Working backwards from the citation evidence, a tool that actually measured readiness would need five things none of the fourteen have. - **Read every page**, or at least a representative sample of deep pages, because that is where the citations come from. - **Score at the sentence level**, reporting the share of sentences above 18 words and the share sitting in the 6 to 10 word band. - **Report position**, since 41.9 percent of citations come from the first 30 percent of a page. - **Check the crawl by behaviour**, fetching as GPTBot and reading the actual status code rather than trusting robots.txt. - **Write the replacement text**, not a recommendation to write it. The first three are straightforward engineering. The fourth needs real requests from real user agents, which you can send yourself: [a five layer check run by hand with curl](/five-layer-ai-seo-audit/) covers the same ground a scanner claims to. The fifth is the expensive one, and it is why nobody has done it. RankReady, our [WordPress AI SEO plugin](https://wordpress.org/plugins/rankready-ai-llm-seo/), covers the crawl and structure side of that list inside WordPress itself, takes about five minutes to configure, and runs alongside Rank Math, Yoast, AIOSEO or SEOPress without conflict. It handles the plumbing: crawler control, Markdown endpoints, schema, freshness signals. Sentence-level rewriting across 500 posts is still human work. ## Why the category came out this way None of this is incompetence. It is economics. Fetching one URL and running regex against the HTML costs a fraction of a cent. Crawling 500 pages and running language analysis on each costs real money, and every tool in the table is free at the point of use. Free tools measure what is cheap to measure. The scoring rubric is downstream of the hosting bill. That produces a category-wide bias toward technical signals and away from content, and then that bias becomes the definition. Site owners run three checkers, all three talk about schema and robots.txt, and the conclusion forms that AI readiness is a technical property. The 153,425 citation set says the technical part is table stakes and the sentence is the unit of competition. Which leaves a practical question for anyone with an existing site. If the free tools grade your homepage and the citations come from post 214, what is the smallest sample of your own deep pages you could read by hand this week and count the sentence lengths in?