Agent Readiness Audit

See your site the way an AI crawler actually sees it.

AI answer engines read your raw HTML. This audit fetches a live page the same way GPTBot and PerplexityBot do, then scores whether they can read, trust, and cite what they find.

A live HTTP-layer scan

We fetch the real page, robots.txt, and llms.txt exactly as an AI crawler would.

Four scored pillars

Structured data, crawl access, content structure, and rendering, each graded 0 to 100.

A fix-it checklist

Every flagged check explains what is wrong and how to resolve it, in plain language.

What the agent readiness audit does

The Agent Readiness Audit fetches a live page the same way an AI crawler does, over plain HTTP and without running any JavaScript, then reports what it can actually see.
This matters because most AI crawlers are not browsers. GPTBot, ClaudeBot, PerplexityBot and their peers request your raw HTML and read what is already there. If your structured data is missing, your crawl rules lock them out, your headings jump around, or your content only appears after a script runs, the engine moves on to a competitor it can read.

The audit groups its findings into four pillars: structured data, AI access and crawl control, content structure, and rendering stability. It scores each one, and every check comes with a plain-English explanation of what it found and why it counts. The report works as a to-do list you can act on.

How it works

01

Enter a URL

Point the audit at any public page: your homepage, a key landing page, or a blog post.

02

We fetch it like a bot

We request the page, its robots.txt, and its llms.txt the same way an AI crawler would.

03

Four pillars scored

Structured data, crawl access, content structure, and rendering are each checked and scored.

04

Fix the flags

Each failed or flagged check explains what is wrong and how to fix it, in plain language.

Frequently asked

What does 'agent readiness' mean?

It is how easily an AI crawler or agent can request your page, understand what it is, and pull trustworthy information from it. High readiness means engines can read and cite you. Low readiness means they struggle or skip you.

Does this run my site in a real browser?

No. Most AI crawlers do not execute JavaScript. They read the raw HTML your server returns. This audit checks exactly that HTML layer, which determines whether engines can see your content at all.

Why do you check robots.txt and llms.txt?

robots.txt can accidentally block AI crawlers like GPTBot or PerplexityBot from your whole site. llms.txt is an emerging standard that hands AI a curated map of your most important pages. Together they control whether and how engines crawl you.

What is the structured-data pillar looking for?

JSON-LD schema such as Organization, WebSite, and content types like FAQ, Article, or Product. This is machine-readable metadata that tells engines what your brand and pages are, which makes you far easier to cite accurately.

Why does layout stability matter to AI?

Images without declared dimensions cause the page to shift as it loads. Shifting layouts are harder for automated agents to parse reliably. Declaring width and height keeps the structure predictable.

Which pages should I audit?

Start with your homepage and the pages you most want cited, such as product pages, cornerstone articles, or high-intent landing pages. Each page can score differently, so audit the ones that matter to your visibility.

Is the audit free?

Yes. Enter a URL and run the scan, then add a work email to reveal the full four-pillar report at no cost.

What are the limits of an HTTP-layer audit?

It cannot test behavior that only appears after JavaScript runs, and it does not measure real load performance in a browser. It focuses on what AI crawlers actually consume: your server-rendered HTML, metadata, and crawl rules. That is where most visibility problems live.