AI agents are the next wave of shoppers. They browse autonomously, evaluate products without clicking, and complete purchases programmatically. Most e-commerce sites will fail them — not because of bad products, but because of invisible infrastructure gaps.
Traditional checkout flows rely on human intuition — clicking buttons, reading labels, solving friction points. AI agents need something different: structured product data, machine-readable pricing, and payment protocols they can speak natively. Without that foundation, a perfectly good store becomes invisible to the next generation of buyers.
We measure agent-readiness across three dimensions. The industry average score sits at 58/100 — and transactability, the most critical dimension, averages just 42.
Can an agent reliably find your products? We test structured data coverage, sitemap completeness, schema.org markup, and compatibility with open discovery protocols like MCP.
Can an agent parse what it finds? We check whether product specifications, pricing, inventory, and purchase constraints are exposed in machine-readable formats — without guesswork.
Can an agent actually complete a purchase end-to-end? We simulate full agent payment flows — including HTTP 402 responses, MCP endpoint availability, and checkout API accessibility.
No guesswork. No vague recommendations. A clear path from your current state to a store that autonomous agents can actually use.
Run automated checks across your product catalogue, checkout flow, and payment endpoints. We test every layer of the agent transaction stack.
Get a clear agent-readiness score with a full breakdown by dimension. See where you stand against industry averages and the competition.
Get prioritized recommendations—clear, actionable fixes you can implement immediately, not vague suggestions.
Here's a real-world breakdown for a mid-sized consumer electronics retailer. The numbers reveal exactly where agent transactions break down.
Transactability score of 8 means agents cannot complete a purchase without human intervention. HTTP 402 endpoint missing; no MCP support detected.
Check your ReadinessThe agentic web evolves quickly. A score that passes today can fail tomorrow when a new agent capability ships or a platform update changes your checkout behaviour.
Run automated checks on a cadence that fits your release cycle — daily, weekly, or triggered on deploy. Always know where your score stands.
Get notified the instant a dimension score drops below your configured threshold. Catch and fix regressions before any agent encounters them.
We diff your catalogue and checkout flow against the previous scan, surfacing exactly which changes caused a score shift and why.
SEO tools optimise your store for search engines. Agent readiness optimises it for the AI systems that will increasingly discover, evaluate, and purchase on behalf of your customers.
| Capability | Traditional SEO Tools | Alby Agent Readiness |
|---|---|---|
| Optimisation target | Search engine crawlers | ✓ Autonomous AI agent shoppers |
| What gets tested | Page titles, metadata, backlinks | ✓ Product data, payment endpoints, MCP compatibility |
| Transaction testing | — Not covered | ✓ Full end-to-end agent purchase simulation |
| Granularity | Page-level signals | ✓ Per-product, per-variant scoring |
| Monitoring | Rank tracking over time | ✓ Continuous agent-readiness monitoring with alerts |
Agent-readiness is a per-product problem. A single listing with missing or unstructured data can break an entire agent transaction — not just for that product, but across your whole store.
GTIN, SKU, and brand are exposed in machine-readable fields. Agents can't buy what they can't uniquely identify.
Price, currency, and applicable tax are structured and parseable at the variant level — no scraping required.
Variant-level inventory status is queryable in real time. Agents won't attempt to purchase out-of-stock items.
No hidden purchase blockers — B2B gates, prescription requirements, age checks — that an autonomous agent cannot resolve.
Per-product return and refund policy is machine-readable and consistent. Agents need this before committing a transaction.
Whether you run a payment network with thousands of merchants or a single store with a global audience, agent-readiness is your next competitive moat.
Whether you run WooCommerce, Shopify, or a custom storefront solution, Alby integrates directly into your platform to bring agent-readiness to every merchant by default — no manual setup required per store.
Understand exactly where your store succeeds and fails for autonomous agent shoppers — then fix it with precise, actionable guidance before your competitors do.
We're onboarding merchants and platforms ready to prepare for agentic commerce. Early access is free — reach out and we'll get you set up.