SameDayDesk · Guide/Comparison · June 2026
There are three real shapes of AI readiness tool: a browser checker, a CLI, and an MCP server. They test different things. Here is the honest breakdown of what each one scores, where each wins, and how to pick.
An AI readiness checker tests whether AI search engines can crawl, parse, and cite your pages. The best tools score six fundamentals: AI-crawler access (GPTBot, ClaudeBot, PerplexityBot, Google-Extended), JSON-LD structured data, title and meta, Open Graph, an XML sitemap, and (optionally) llms.txt. They come in three forms, and the form changes what you can do with the result:
Most free checkers stop at machine-readability. They tell you whether AI can read the page; few tell you the exact fix, and almost none give you the raw benchmark to compare against peers. Our free checker scores all six factors, the CLI is open-source, and we ship the fixes (templates, Kit, or a done-for-you Fix Pack) instead of just a number.
AI answers are built by live retrieval (RAG), not from a model's training set. A page indexed this morning can be cited this afternoon without ever appearing in any training data. That cuts both ways: you do not need authority years in the bank, but the machine has to be able to fetch and parse the page right now.
Where that retrieval comes from is concrete. ChatGPT Search and Microsoft Copilot largely pull from the Bing index, and about 87% of SearchGPT citations matched Bing's top 20 (Seer Interactive, reconfirmed by Search Engine Land in April 2026). Bing indexes new content in hours to days and you can push it instantly with IndexNow, no account needed. Perplexity runs its own crawler and favors fresher pages, so first citations on low-competition queries can land in days. And Google AI Overviews citation is largely independent of organic rank: about 68% of AIO-cited pages were not even in the top 10 organic results.
About 44% of LLM citations come from the first 30% of a page. Answer-first structure isn't a style choice in 2026 — it's where the citations live (Princeton/Georgia Tech GEO study, KDD 2024).
The same GEO study found that adding statistics raised a page's visibility about +32%, direct quotations about +41%, and citing named sources about +30%. A readiness checker tells you if the machine can reach your page at all. These are the levers that decide whether it gets quoted once it does.
Here is how the three shapes stack up on what matters. We've kept it fair — each form is the right tool for a different job.
| Approach | Best for | Setup | What it scores | Gives exact fixes? |
|---|---|---|---|---|
| Browser checker (most free tools, incl. ours) | A fast read on one page, no install | Paste a URL | Crawler access, structured data, meta, OG, sitemap | Ours: yes, per factor |
| CLI (our open-source tool) | Engineers, CI/CD, auditing many pages | npx, one line |
All six fundamentals, scriptable, scoreable | Yes — prints the failing factor + fix |
| MCP server | AI coding agents reading readiness inline | Add to Claude/Cursor | Six-factor score, queried by the agent | Yes — the agent can apply them |
| Citation audit (paid tier) | Proving you're actually cited vs rivals | Done-for-you | Live AI citations on real queries | Yes + competitor gap |
One honest caveat that applies to every free checker on the market, ours included: a readiness score measures machine-readability, not whether an AI actually cites you. Testing real citations means prompting the models against named competitors — that's a different, heavier job (our $249 audit), not something a URL-paste tool can do.
To calibrate the scores, we ran the six-factor check across 189 well-known companies in 10 industries, scored 0–100. The averages show how uneven AI readiness still is:
| Industry | Avg score /100 |
|---|---|
| Marketing agencies | 92 |
| SaaS | 87 |
| Dev tools | 86 |
| E-commerce | 85 |
| AI startups | 81 |
| Enterprise | 78 |
| Fintech | 76 |
| Consumer apps | 68 |
| News media | 64 |
| Healthtech | 63 |
The surprises are the point. OpenAI and GitHub scored a D — JS-heavy homepages with thin server-rendered content the crawlers struggle to parse. Perplexity, an AI search engine itself, scored a C. LlamaIndex, whose entire job is making data readable by LLMs, scored a D. Klarna scored an F (38), the lowest in the set, and Ars Technica also drew an F: it lets the crawlers in but ships no structured data at all.
In SaaS specifically (24 sites, average 87), 1 in 3 ship no JSON-LD — including Notion, Linear, Airtable, Clerk, Cal.com, PostHog, and Gumroad. At the top, stripe.com, supabase.com, webflow.com, vercel.com (93) and hubspot.com (90) earned an A. Mid-pack: figma.com (73), linear.app (71), substack.com, airtable.com (68), and clerk.com (61). The raw CSV is open under CC-BY: ai-search-readiness-2026.csv.
If OpenAI, GitHub, and the company that makes data "readable by LLMs" all score below a B on machine-readability, the bar to outrank your competitors in AI answers is lower than you think.
Plenty of AI readiness tools exist, and several are fine for a quick score. Here's where ours is genuinely different, stated plainly:
npx github:epistemedeus/ai-readiness yoursite.com (repo).robots.txt line to allow GPTBot, the missing Open Graph tags.One thing we will not sell you: an llms.txt obsession. llms.txt does not improve AI citations. Google (Gary Illyes) says it is not supported and not planned, and about 97% of LLM crawler hits never fetch it (Ahrefs). We score it as optional hygiene, not a ranking factor — and you should be skeptical of any tool that weights it heavily.
Paste your URL and get your six-factor AI readiness score plus the exact fixes. No signup. Or grab the $9 AI Readiness Kit: the full 189-company benchmark, every structured-data template, and the checklist, instant download.
Run the free checker → Get the $9 Kitnpx github:epistemedeus/ai-readiness yoursite.com) to audit your whole site or wire it into CI.robots.txt.If you'd rather not hand-edit templates, the $9 AI Readiness Kit bundles every template and the benchmark. Want it done for you on your exact site, same day? That's the $39 Fix Pack. And when you need proof you're actually being cited against named competitors — real citation testing, not a readiness score — that's the $249 AI-Search Visibility Audit.