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Learn About Agentic Commerce

Understanding AI-powered shopping and what it means for your business.

Twenty Years of Keeping Bots Out. Now We Need to Let Them In.

Scan Intelligence

For two decades, the e-commerce industry invested heavily in bot protection. reCAPTCHA, WAFs, behavioural fingerprinting: all designed to keep automated traffic off our sites. It worked. But AI shopping agents are automated traffic, and the same defences that stopped credential stuffers in 2008 are now silently rejecting agents acting on behalf of real customers in 2026. In our scans, 25.7% of sites already block agent access entirely, and most of those merchants have no idea it is happening.

486
e-commerce sites scanned and analysed
unique domains, May 2026
25.7%
have bot protection that blocks or challenges AI agents
125 of 486 sites affected
40%
of blocked sites use hCaptcha — still the single largest agent blocker
48 of 119 identified deployments
#1
blocker is hCaptcha — Cloudflare deployments doubled month-on-month
Cloudflare now at 26 sites, up from 13

Provider Breakdown — 119 sites

hCaptcha
48
Cloudflare
26
Google reCAPTCHA
13
Generic WAF
13
DataDome
5
Akamai
4
AWS CloudFront / WAF
4
PerimeterX / HUMAN
4

How Hard Is It to Allow AI Agents?

Rate limiters (e.g. nginx, basic WAF) Trivial
Cloudflare WAF rules Easy
Imperva / AWS WAF / Sucuri Moderate
Akamai Bot Manager Hard
DataDome / PerimeterX / HUMAN Hard
Kasada / Shape Security / F5 Very hard
Arkose Labs (FunCaptcha) Very hard

Data from 486 unique e-commerce sites scanned by Aidō Lighthouse as of May 2026. Provider counts exclude scan artefacts (timeouts, DNS errors, unclassified). Bypass difficulty reflects the effort for a merchant to allowlist verified AI agent user agents — not the difficulty of malicious circumvention. Dataset grows with every scan; figures update as new sites are analysed. Learn how protocols like Visa TAP and ACP are creating verifiable agent identity →

Start Here 5 min read

What is Agentic Commerce?

AI agents are becoming the new shoppers. Learn what that means for your business and how to prepare.

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Looking Ahead 7 min read

The Future of Shopping

Emerging standards like UCP, MCP, and WebMCP that will define the next era of e-commerce.

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Industry Analysis 7 min read

Your AI assistant is only as good as your infrastructure

Most retail brands have launched AI agents on top of infrastructure that was never designed to support them. Here is the gap that is quietly capping your AI investment.

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Explainer 6 min read

The agentic payments map: what the protocols are, and what they cannot do without you

ACP. UCP. MCP. TAP. VIC. MAP. Here is what each protocol does, which layer it operates at, and the infrastructure gap that stops all of them working.

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Industry Analysis 6 min read

What AI agents actually see when they visit your website

345+ European retail sites scanned. 29% score zero on transactability. The agent does not see your brand story. It sees what it can parse — and for most sites, that is not much.

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Regional Analysis 8 min read

Latin America's AI Commerce Gap

We scanned 75 LATAM e-commerce sites. Average transactability: 29.4/100. The region has leapfrogged desktop commerce into WhatsApp — and left its web APIs behind.

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Análisis de Mercado 10 min · Español

El mercado de belleza en México y el muro del comercio agéntico

19 marcas líderes analizadas. Puntuación agéntica promedio: 16.9/100. Las marcas de prestigio internacional tienen el mejor contenido y el peor checkout. Ninguna está lista.

Leer análisis
Data Analysis 6 min read

UCP Is Not Enough

We scanned every brand listed on checkout.directory as UCP-ready. All 49 scored "Not Ready" for agentic commerce. Here's what the protocol doesn't cover.

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Catalogue Intelligence 6 min read

Your product feed is your campaign now

Google AI Max reads Merchant Center attributes like a document. The bid strategy you spent five years optimising now matters less than the product data you wrote three months ago. Same logic applies to agents.

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Catalogue Intelligence 9 min read

Per-product, not per-site: why every item needs its own agent score

Catalogue tools were built for SEO. They average everything. AI shopping agents make decisions one product at a time, and the averages hide the products that will actually fail at checkout. Here is what we built instead.

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Open Spec Working Draft

AOCF 1.0 — Agent-Optimised Catalogue Feed

An open extension to the Google Merchant Center feed format that declares per-product agent purchase terms. What an agent is permitted to buy, which payment protocols you accept, whether the item is mandate-eligible. Published openly under CC BY 4.0.

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Web History 12 min read

Thirty years of bots: the cat-and-mouse game that was never necessary

From Archie in 1990 to GPTBot in 2023, the web has fought the same battle. Googlebot solved it in 1997. Almost nobody copied the approach. AI agents are about to re-learn the lesson.

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News 5 min read

Aidō Lighthouse joins the Agentic Commerce Consortium

We joined the Basis Theory Agentic Commerce Consortium. Here's why the whitepaper's market problems map directly to what we see in our e-commerce readiness scans.

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Research Report · April 2026 15 min read

2026 AI Commerce Readiness Index

Data from 500+ retailer scans. Where each industry stands, what separates AI-ready leaders from the rest, and the infrastructure gaps still blocking autonomous commerce.

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