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What is agent readiness — and why your site needs it in 2026

6 August 2026 · Zeb Choudhry

Agent readiness is how prepared your website is for autonomous AI agents — like ChatGPT’s agent mode and Perplexity Comet — to access, parse, trust, and act on it when they are completing a task for a user.

For a decade you optimised for humans. More recently you started optimising for AI answers — being cited when someone asks ChatGPT for a recommendation. Agent readiness is the next layer: being the site an AI agent can actually use — filling a form, comparing options, starting a checkout — on a real customer’s behalf.

Why this is suddenly urgent

2026 is the year agentic browsers went mainstream. Perplexity Comet and ChatGPT’s agent mode can now browse, compare, and transact for their users. When an agent decides which business to act on, it does not read your beautiful hero section — it reads your structured data, your access rules, and your machine-readable facts. If those are missing or ambiguous, the agent quietly moves to a competitor it can understand.

The six pillars of agent readiness

GetVisus scores agent readiness across six pillars. Each answers a question an agent effectively asks before it will act on your site.

1. Agent access

Can the agent reach the content at all? This covers whether AI crawlers and agents are allowed in your robots.txt, whether the page is crawlable, and whether your key facts survive without JavaScript — because many agents read raw HTML, not a rendered single-page app.

2. Machine-actionable schema

Can the agent take a defined action? Organization, Product, Offer, and FAQPage schema turn prose into machine-readable facts. An agent that sees an Offer with a price and availability can act; one that has to infer the price from a sentence will hesitate.

3. Answer extractability

Can the agent lift a clean answer? Question-style headings and self-contained 40–100 word answer blocks let an agent extract a confident response instead of guessing across paragraphs.

4. Trust and identity

Can the agent verify who you are? Linked profiles (sameAs), a clear author/byline, and consistent name-address-phone details let an agent confirm your identity before it relies on your claims.

5. Transaction integrity

Can the agent safely complete a purchase? Prices and availability in Offer schema — and consistent between the product page and checkout. Agents flag a price gap between page and checkout as deceptive and abandon the task.

6. Protocol interoperability

Does your site speak the agent protocols? This is llms.txt (a machine-readable summary) and the emerging AGENTS.md (how agents should interact with you). Early adopters are almost invisibly rare — which is exactly why publishing them is a fast, cheap win.

Agent readiness vs AI visibility vs SEO

SEO gets you ranked in Google. AI visibility / LLM SEO gets you cited in AI answers. Agent readiness gets you chosen and acted on by autonomous agents. They overlap — good schema helps all three — but agent readiness adds transaction and machine-action signals the others ignore.

How to check your agent readiness

You can audit the pillars by hand: check your robots rules, view-source to confirm facts render without JS, validate your schema, and load /llms.txt and /AGENTS.md to confirm they return real files (not your app’s HTML shell). Or run the free checker below, which scores all six pillars, lists your gaps in plain English, and generates an AGENTS.md for you where one is missing.