98% of Ecommerce Sites Cannot Complete an AI-Driven Transaction
The 2026 AI Commerce Readiness Index from Aidō Lighthouse — covering 345+ retailers across ten categories — finds that only 2% of ecommerce sites can support autonomous AI transactions end-to-end. The platform serves both the payments infrastructure companies enabling agentic commerce and the brands investing in it.
NEW YORK, 2 April 2026
Aidō Lighthouse, the AI Commerce Readiness Platform, today published the 2026 AI Commerce Readiness Index — the first comprehensive benchmark of ecommerce infrastructure readiness for the age of agentic AI. Built on 110+ automated checks across 345+ live ecommerce sites in ten industry categories, the Index arrives at a pivotal moment: agentic commerce has moved from prototype to live.
Adobe's analysis of over one trillion visits to US retail sites found that AI agent traffic grew 4,700% year-over-year in July 2025. Morgan Stanley and Bain project that agentic commerce will reach up to $385 billion in spend by 2030, with agents potentially responsible for 15 to 25% of all US ecommerce sales by the end of the decade.
The infrastructure question is no longer whether this shift is coming. It is whether the payments companies enabling it, and the brands investing in it, are ready. Aidō Lighthouse data reveals that for 98% of the market, they are not.
Across 345+ scans, the average overall readiness score is 48.1 out of 100. Only 2% of sites reach AI-Ready status — the threshold at which an agent can reliably discover, understand, and transact with a retailer end-to-end. And 30% of sites return a transactability score of zero: no cart API, no machine-navigable checkout, no path for an agent to act. Every one of those sites is invisible to a market that is already spending.
"Every retailer we scanned had invested in digital transformation. Most had invested heavily. But that investment was built for humans. The infrastructure required for an AI agent to complete a purchase simply was not part of the roadmap, because agents were not yet the customer. They are now. And 98% of the market is not ready for them."
Monique Garcia, CEO, Aidō Lighthouse
What It Looks Like in Practice
An AI agent shopping on a consumer's behalf follows a simple three-step sequence: find the product, understand it, buy it. Aidō Lighthouse's D/U/T Framework — Discoverability, Understandability, Transactability — measures exactly that.
Aidō Lighthouse's Live Payment Test makes this visible in real time. In under five minutes, a retailer can run an early access scan and watch an AI agent attempt to discover, understand, and purchase from their own site, seeing exactly where the infrastructure breaks down. For most retailers, it is the first time they have seen their commerce stack from an agent's point of view.
Critically, Aidō Lighthouse does not just surface the gap — it closes it. Every scan generates a prioritised roadmap with code-level fixes: Schema.org snippets ready to deploy, API specifications for engineering teams, and configuration changes ranked by impact.
Key Findings
Only 2% of sites have reached AI-Ready status — the threshold at which an agent can complete a purchase end-to-end. 64% sit in the Developing band: partially ready, but not yet capable of supporting autonomous transactions. The retailers who close the gap first will capture the earliest and largest wave of agent-driven commerce. That window is open. It will not stay open.
30% of sites score zero on transactability. These retailers may be fully discoverable and their product data well-structured, but when an agent attempts to act, the commerce stack offers no path forward. For payments companies, this is a measurable gap in merchant portfolio readiness. An agent that hits zero transactability does not retry. It routes to the next result.
There is no correlation between brand size and AI readiness score. A global fashion leader scored 100 on discoverability and zero on transactability — an overall score of 44. A digitally-native DTC brand scored 88, outperforming some of the world's best-known retailers by more than 40 points. The gap is not a function of resources. It is a function of whether agent-compatible infrastructure was ever on the roadmap.
Emerging commerce protocols — UCP, ACP, MCP, and WebMCP — define how agents authenticate, query product data, and initiate transactions. The protocol layer is live and accelerating. But no protocol can create a cart API that does not exist. Retailers and their payments partners who build D/U/T readiness now will be positioned to transact as agent volumes scale. Those who do not will be structurally excluded.
Built for Teams Invested in Agentic Commerce
Aidō Lighthouse is designed for the two groups with the most direct commercial stake in AI commerce readiness:
Payments and financial infrastructure
For payments companies and banks building out agentic commerce capabilities, the readiness of their merchant base is a direct determinant of transaction volume. Aidō Lighthouse gives payments companies a licensed platform to measure, monitor, and improve readiness across their merchant portfolios: identifying which merchants are blocking agent transactions, benchmarking performance against category peers, and delivering a prioritised technical roadmap with code-level fixes to close the gap.
Brands and retailers
For brands — whether stress-testing their stack ahead of an agentic commerce initiative, building their own AI shopping agents, or seeking continuous monitoring as their readiness evolves — Aidō Lighthouse provides the ground truth on what any agent actually encounters when it hits their site. In under five minutes from early access, a brand gets its score across all three D/U/T dimensions and a prioritised roadmap with code-level fixes ready to hand to an engineering team.
Methodology
Every score in the 2026 AI Commerce Readiness Index was generated by the Aidō Lighthouse platform, running 110+ automated checks across three dimensions: Discoverability, Understandability, and Transactability. The D/U/T Framework evaluates whether AI agents can find and access a site and its products; accurately interpret product data including pricing, variants, and availability; and complete a transaction end-to-end via cart API, checkout pathway, and payment flow.
The sample spans 345+ ecommerce sites across Beauty and Cosmetics, Electronics and Tech, Fashion and Apparel, Fintech, Food and Beverage, Home and Garden, Jewellery and Accessories, Sports and Outdoors, and Travel — covering retailers across North America, Europe, and Latin America. All scans were conducted against live sites in March 2026. No scores were estimated or interpolated. No individual site or brand is named in this report.
The full 2026 AI Commerce Readiness Index is available at aido-lighthouse.com/learn/2026-ai-commerce-readiness-report.html. Brands and retailers can request early access to run a scan of their own site at the same address.
About Aidō Lighthouse
Aidō Lighthouse is an AI Commerce Readiness Platform that helps brands understand, measure, and improve their readiness for agentic commerce. The D/U/T Framework — Discoverability, Understandability, Transactability — is Aidō's proprietary methodology for evaluating how effectively AI agents can discover, understand, and transact with an ecommerce site. Every scan runs 110+ checks and generates a prioritised roadmap with code-level fixes in under five minutes. Aidō Lighthouse is built by Aidō Labs Inc. and is available in beta at aido-lighthouse.com.
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For enterprise licensing enquiries, please use the same contact details. High-resolution assets, report graphics, and interview requests can be directed to info@aido-labs.co.
- The full 2026 AI Commerce Readiness Index is available at aido-lighthouse.com.
- All scores are based on publicly available site data and reflect conditions at the time of scan.
- No individual site or brand is identified in this report.
- D/U/T Framework, AI Commerce Readiness Index, and Aidō Lighthouse are proprietary to Aidō Labs Inc.
- Aidō Lighthouse is currently in beta. Early access requests and licensing enquiries: info@aido-labs.co