Can an AI agent buy on your store?
AI shopping agents could drive up to 20% of US e-commerce by 2030 (Morgan Stanley). If an agent can't find, understand and check out on your store, you're invisible to it. Get your free agent-readiness score /100 in 20 seconds — plus the 5 fixes that matter most.
Fetching your homepage like an AI shopping agent…
What the scan checks
Six pillars, from the most blocking to the most subtle. The deterministic layer (pure parsing, 100% reproducible) covers the essentials — no model variance, two scans give the same score.
1 · Access & crawlability
robots.txt allows GPTBot / ClaudeBot / PerplexityBot, llms.txt present, sitemap, and the anti-cloaking test nobody else runs.
2 · Structured data
Schema.org Product / Offer in JSON-LD: price, currency, availability, brand, SKU/GTIN, reviews. A pretty page with no JSON-LD is mute to an agent.
3 · Catalog & attributes
Variants and attributes (size, color, material) as fields, not prose. Without fields, an agent can't filter.
4 · Agentic protocols soon
UCP manifest (/.well-known/ucp), ACP compatibility, MCP endpoint. The most "2026" pillar.
5 · Real-time data soon
Up-to-date, page↔feed-consistent price/stock. An agent adding an out-of-stock item breaks the experience.
6 · Logistics & trust soon
Machine-readable delivery times, exposed return policy, structured reviews.
Pro is a console, not a report
The free scan is the diagnosis. Pro is the cockpit you fix and defend with — your priorities, your rivals, your whole catalog, watched daily. This is the actual product, on a demo store:
We hold ourselves to the same bar: agentready.market scores 96/100 on our own audit — see the live report. A real scan, not a brochure.
One-time payment · no auto-renewal — nothing to cancel · 14-day refund, no questions asked.
Why now: agentic commerce is the next channel
"Bot SEO" — making your store readable and buyable by AI agents — is going from a nice-to-have to a primary acquisition channel. The forecasts diverge on the exact number, but they all point the same way: up and to the right.
$200–500B
US agent-driven e-commerce by 2030 — roughly 10–25% of online sales. (Morgan Stanley, Bain)
$15T+
B2B trade mediated by agents by 2028 — the biggest pool of all. (Gartner)
$1T US / $3–5T global
Agent-orchestrated consumer revenue by 2030. (McKinsey)
+42% conversion
AI-referred shoppers convert ~42% better than other traffic. (Adobe, Q1 2026)
The payment rail is being commoditized by the giants (Visa/Mastercard/Amex, ACP, UCP — 1M+ Shopify
merchants auto-enrolled). The value migrates to the optimization / data layer: making
your store agent-readable. Discovery (AEO/GEO — "does ChatGPT cite me") is already saturated; the
transaction layer (AOO — "can an agent actually buy") is where we play.
Highly uncertain projections — figures diverge by scope. Not investment advice.
How it works
The scanner opens the door. No industrial scraping: a targeted, polite fetch, on the merchant's request.
You submit your URL
We fetch your public pages (home, one product page, robots/llms/sitemap, feed) — no purchase, no account.
We parse, no AI
Deterministic core: every check returns a reproducible result, weighted into the score.
Score + fixes
A score /100, your vertical benchmark, and the 5 fixes ranked by impact × ease.
You fix, you climb
Each applied fix is a before/after measurement. The score becomes empirical.
Guardrail: we simulate up to the checkout boundary, never a real purchase, no auth bypass, no personal data stored. Public pages, GDPR-friendly.
Ready to see your score?
Most stores sit below 60. Where's yours?
Scan my store