The session walked the Agent Readiness Index end to end: what the agentic web is, why the shift is further along than most planning assumes, how much buying authority consumers are actually handing over, and how a brand scores its own exposure across five weighted dimensions. It closed on a worked example and a first step that costs nothing but a meeting.

This page is the record of what was covered, with links into the longer arguments behind each part.

Title slide reading: Assess your agentic commerce readiness. AI agents now browse, evaluate, and transact on behalf of your customers. A practical framework for knowing how ready your organization is, and what to build first.
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What the session covered

The agentic web, and why it is not a channel. An agent holds a goal, queries infrastructure across many brands, and returns with a decision or a completed purchase. It never renders the page, so design, imagery, and story are invisible to it. Treating this as a new channel next to mobile and marketplace produces optimization of a page the buyer may never see. The longer argument is in Agentic Commerce Is Not a Subset of E-Commerce.

Two diagrams contrasted. In the channel model, a brand reaches the shopper through web, mobile, and marketplace. In what actually happens, the shopper goes to a single agent, which queries the brand and three competitors in parallel. McKinsey sizes agent-mediated consumer commerce at three to five trillion dollars globally by 2030.
The category error: a marketplace is a place with your storefront on it, an agent is a layer over every place at once

The demand-side data. AI traffic to US retail sites grew 393% year over year in Q1 2026. In March 2026, AI-sourced traffic converted 42% better than non-AI traffic, a reversal from 38% worse a year earlier. Average machine readability of US retail product pages sits at 66%, which is the one number in that set a brand controls. All three from Adobe's Q2 2026 AI Traffic Report.

Three figures from the Adobe Q2 2026 AI Traffic Report. Plus 393 percent AI traffic growth to US retail sites year over year in Q1 2026. 42 percent better conversion from AI-sourced traffic than non-AI in March 2026, reversed from minus 38 percent a year earlier. 66 percent average machine readability of US retail product pages, the single largest infrastructure gap measured.
The trust threshold flipped in a single year, and the one number brands control sits at two thirds

Why the funnel does not see it. Botify's crawl data shows roughly one human visit for every 198 times OpenAI crawls a site, against one visit per six Google crawls. The evaluation happens upstream of any session your analytics were built to record, so the commercial event is over before the funnel begins. Your Best-Converting Channel Is the One You Cannot Measure covers why that revenue arrives disguised, and You are measuring one funnel and paying for two covers what to build about it.

A traditional path runs from need through search and ads, website, app, cart, and payment to purchase. An agent path arcs directly from need to purchase, querying data and executing via the ACP, UCP, and MCP protocols. Four brand touchpoints representing years of UX and CRO investment are never touched.
In the agent path there are zero brand-controlled interface touchpoints

Delegation postures. Curator, Scoper, Delegator, Orchestrator. How much authority the consumer hands over is the variable that reshapes the funnel, and it varies by purchase rather than by person. Accenture's Consumer Pulse 2026, covering 25,590 consumers across 16 countries, puts 74% delegating routine tasks, 32% letting an agent decide within limits, and 9% at full delegation. The gradient, not the headline number, is what shapes strategy: Agentic adoption is a gradient, not a number.

Three levels of delegation from Accenture Consumer Pulse 2026. 74 percent delegate routine tasks such as reorders and renewals. 32 percent let an agent decide within price and preference limits, with the person authorizing payment. 9 percent allow an agent to buy unsupervised. Below, a spectrum shows the same consumer sitting at different levels depending on the purchase, from first-time high-consideration buys the consumer keeps, through to grocery restocking that gets delegated.
Down the gradient, delegated authority increases and the population willing to grant it shrinks

The agent-accessibility stack. Four standards in a fixed order across two layers. robots.txt and llms.txt describe, schema.org structures, and WebMCP exposes callable tools so an agent can act. Being cited and being usable are different problems, and the second only pays off after the first: Being cited is not being usable.

Four standards across two layers. The discovery layer holds robots.txt to permit and describe, llms.txt to describe though contested, and schema.org for machine-readable structure. The infrastructure layer holds WebMCP, a W3C draft in origin trial, providing callable tools so the agent can act. The order is fixed: be cited, then be usable.
The discovery layer is the prerequisite; the infrastructure layer pays off only after it

From atmosphere to attribute. "Premium build quality" is not retrievable. A stainless steel boiler with PID temperature control is. Every claim living in campaign language has to be re-expressed as structured, verifiable data, or the agent never enters the brand into the decision at all. What It Means to Be a Machine-Readable Brand.

A translation table. Premium build quality becomes stainless steel boiler and PID temperature control. Family-friendly becomes connecting rooms, kids' menus, step-free access, and cribs. Competitive rates becomes APR stated and eligibility criteria documented. Stunning views becomes floor level, window orientation, and distance in meters. A claim with no machine-readable form is invisible to the agent evaluating the brand.
What lives in campaign language has to be re-expressed as structured, verifiable data

Where regulation sits. The EU's Digital Product Passport, under the Ecodesign for Sustainable Products Regulation (EU 2024/1781), phases in from 2025 to 2030 and will require a structured, verifiable record of a product's identity, materials, origin, compliance, and lifecycle, retrievable from one identifier. Its purpose is sustainability. Its byproduct is close to the record an agent needs to resolve and rank a product, which means that for EU-selling brands the compliance build and the legibility build are largely the same build. Separately, the EU AI Act reached full applicability on 2 August 2026. The UK has no AI-specific law but enforces actively under the DMCC Act, with the CMA able to fine up to 10% of global turnover directly. The US remains largely deregulated at federal level, with a state-level patchwork forming.

Regulatory exposure by jurisdiction, plotted against whether an agent assists or executes. Curator and Scoper postures keep the buyer in the loop and carry lower legal exposure; Delegator and Orchestrator postures mean nobody approves the purchase and exposure rises. The United States is deregulatory and enforces after the fact, with a state-level patchwork. The United Kingdom has no AI law but the DMCC Act 2024 lets the CMA fine up to 10 percent of global turnover directly. The European Union is the most structured, with the AI Act reaching full applicability on 2 August 2026.
Two of the three have no agent-specific law, which is not the same as having no exposure

The index itself. Five weighted dimensions. Three are exposure set by your category, worth 65%: Traffic Dependency, Structured Comparability, Agent Substitutability. Two are control you own, worth 35% and entering inverse: Brand Moat and Structured Data Maturity. Meridian, the worked example, scored 65.9 out of 100, with 45.65 of that an exposure floor the brand cannot move and only 20.25 in play. Measurement Readiness runs alongside as a separate flag, held outside the composite, because a brand can score well on catalog structure and still be blind to its own numbers. On what the score does not tell you, see Your Readiness Score Cannot Tell You Where You Stop.

A worked Agent Readiness Index result for Meridian, a sample performance running footwear brand. Traffic dependency 65, structured comparability 85, agent substitutability 62, brand moat 45, structured data maturity 40. The composite is 65.9 out of 100, banded as significant risk. An exposure floor of 45.65 is set by the category and cannot be moved; a control shortfall of 20.25 is in play, and structured data is most of it.
Exposure the category sets, control the brand owns, one composite

The reference from the session

Agentic exposure is not uniform. It tracks how much buying authority the shopper hands to the agent, which varies by category. Find the row that fits you, read the posture, and start on the one move that matters most for where you are.

Posture 01
Curator

The person browses and decides. The agent assists. Discovery is mediated, selection is human.

Posture 02
Scoper

The person sets criteria, the agent shortlists, the person picks from the set it returns.

Posture 03
Delegator

The person sets a mandate and the agent selects and buys within it. One approval, or none.

Posture 04
Orchestrator

Standing authority. The agent reorders and manages on its own, revisiting the person rarely.

Eleven commerce categories with their typical delegation posture, agentic exposure level, and highest-leverage first move.
CategoryTypical postureExposureThe first move
Consumables and replenishablesgrocery, supplements, pet, household staples Orchestrator High Get reorder and availability data exact and real-time. Standing orders punish stale stock and pricing.
Consumer electronics and appliancesspec-driven, comparison-heavy Delegator High Publish complete, verifiable attributes. Missing a spec drops you from the ranking entirely.
Footwear and apparelby fit, spec, and use case Delegator High Structure fit, material, and use-case data so an agent can match intent, not just keywords.
Beauty and personal careroutine, repeat purchase Delegator High Make reviews and ingredient data machine-readable. Repeat-buy categories reward trust signals.
Travel and hospitalityflights, rooms, packages Scoper Delegator High Wire real-time inventory and price into agents. Google has named hotels the next agentic vertical.
Commodity B2B suppliesmaintenance, office, industrial Delegator High Make your catalog, terms, and credit callable by a procurement agent, not just a rep.
Financial and insurance productsrate and terms driven Scoper Emerging Structure terms for comparison. Trust and regulation keep a human on the decision, for now.
Automotive and high-considerationvehicles, large, infrequent purchases Scoper Emerging Make spec, trim, and price data legible so you make the shortlist the human then works through.
Complex, relationship-led B2Bnegotiated, long sales cycle Curator Scoper Emerging Fix discovery legibility first. Be in the set an agent assembles before the human relationship starts.
Experiential and servicesdining, events, personal services Curator Lower Structure availability and reviews. Discovery is agent-mediated even when the choice stays human.
Luxury, craft, and bespokestory-led, configured, brand-driven Curator Lower Make your advantages legible as data. An agent cannot narrate the craft it cannot read.

How to read this. Exposure is set by your category and moves slowly. It is the weather. Your posture tells you how soon it bites and how much of the purchase an agent already runs. The first move is the highest-leverage step you control, and in almost every row it comes back to one thing: product data an agent can find, read, and trust. The line also drifts. Categories move toward delegation as trust builds, the way considered electronics did, so today's Curator is tomorrow's Scoper.

Postures and exposure from the Agent Readiness Index · illustrative, calibrate to your own catalog and channel mix

Category and posture reference Full deck, 35 slides

The first step from the session

Not a budget, and not a vendor. Get the five owners in one room: digital and ecommerce, marketing and brand, data and analytics, engineering or platform, and merchandising. Answer four questions together. Are we in an exposed category. Where does an agent lose us today. Can we see agent traffic in our numbers at all. What is the widest gap we control.

That conversation is the assessment, whether you run it yourselves or bring someone in.

See the Agent Readiness Index Start a conversation