What is agentic readiness?

How well a website can be read, trusted and transacted with by AI agents - measured through concrete signals like structured data, semantic HTML, discovery files and trust markers, not opinions.

Is agentic readiness the same as SEO?

They overlap (clean HTML, structured data help both), but agentic readiness centers on machine consumption: the accessibility tree, machine-readable summaries, explicit crawler permissions and quotable content.

How is an agentic readiness score calculated?

On MarkosWeb, as a fraction of passed deterministic checks - like Google Lighthouse’s agentic-browsing scoring - never an invented 0-100. Scores can be improved by fixing the failed checks, never bought.

The agentic readiness checklist

AI agents read your site through the accessibility tree, structured data and discovery files - not a rendered screenshot. This checklist covers the 30 concrete signals we measure across thousands of audits, grouped the way agents actually consume a site. Average score across our audited directory: under 50% - most of the web is not ready.

1. Agent interaction - can a machine parse your pages?

Semantic HTML landmarks - <main>, <nav>, <article>, headings in order, lang on <html>, alt text on images. The accessibility tree IS the agent's data model.
Clean, crawlable markup - real title and meta description; content present without JavaScript execution.
Low extraction friction - answers near the top; short first paragraphs; no jargon walls.
Indexability - no accidental noindex/robots blocks; being indexable is the precondition for appearing in AI answers.
One canonical URL per page - agents must not see duplicates.
Layout stability & weight - explicit image dimensions (no layout shift), lean DOM, minimal render-blocking resources.

2. Machine extraction - can an agent quote you?

Real HTML tables and lists for comparisons and specs - agents extract structure, not screenshots of it.
Atomic sentences - self-contained statements an agent can lift without losing meaning (target: 40%+ of sentences).
Entity density - name the products, places, people and numbers; vague copy is unquotable.
Definition patterns - clear "X is ..." sentences let agents answer directly.
Answer capsules - open each section with a 15-30 word self-contained answer.

3. Structured data - facts machines can consume

Schema.org JSON-LD - at minimum Organization/WebSite; product, article and FAQ types where relevant.
Breadth - rich properties (address, logo, sameAs, dates), not empty stubs.
Speakable markup for voice surfaces where it fits.

4. AI discovery - can agents find and use you?

llms.txt - the curated machine summary (full guide). Only 6.4% of 48,005 sites we probed have one.
robots.txt rules for AI crawlers - explicit decisions for GPTBot, ClaudeBot, PerplexityBot (guide).
sitemap.xml with lastmod - let machines enumerate and re-crawl you efficiently.
A content feed (RSS/Atom) - agents track changes.
Language/locale signals - lang, hreflang.
Stated AI-use permissions - an ai.txt or licensing note removes ambiguity.

5. Trust - would an agent transact with you?

Consistent identity - name, address, phone consistent everywhere; Organization schema anchoring it.
Visible authorship and dates - humans and machines both read them as accountability.
Methodology transparency - show how content/products are produced, tested or reviewed.
AI-assistance disclosure where a reasonable reader expects it.
Strong titles/meta - unique, descriptive, well-sized.
Freshness - re-date and update key pages; stale sites read as abandoned.

Longevity, HTTPS and current activity also feed trust: an agent (or its user) weighs "how long has this site existed and is it maintained" before transacting - we surface these on every profile.

Score yourself

Every item above is measured automatically in our free audit - pass/fail with the specific finding and the highest-impact fixes ranked.

Run the 30-check audit on your domain

Method details: methodology. See who leads: most AI-ready websites.

Frequently asked

What is agentic readiness?: How well a website can be read, trusted and transacted with by AI agents - measured through concrete signals like structured data, semantic HTML, discovery files and trust markers, not opinions.
Is agentic readiness the same as SEO?: They overlap (clean HTML, structured data help both), but agentic readiness centers on machine consumption: the accessibility tree, machine-readable summaries, explicit crawler permissions and quotable content.
How is an agentic readiness score calculated?: On MarkosWeb, as a fraction of passed deterministic checks - like Google Lighthouse’s agentic-browsing scoring - never an invented 0-100. Scores can be improved by fixing the failed checks, never bought.