The Buying Decision Already Happened. Your Business Wasn't in the Room.

Rich Washburn
1 day ago
4 min read

Agentic Buying Decisions

6:06

I want to tell you something that took me a while to fully internalize, even as someone who spends most of my time at the intersection of AI infrastructure and capital. The shift in how purchasing decisions get made isn't coming. It already happened. And most businesses — including good ones, established ones, ones with real customers and real revenue — are structurally invisible to the systems now making those decisions.

Let me be precise about what I mean.

What AI Buyers Actually Do

When a buyer delegates a purchasing decision to an AI agent — and 44% of online buyers now build their shortlists inside AI assistants, according to Bain and Company 2026 — the agent doesn't browse the way a human does. It doesn't Google your name. It doesn't click your LinkedIn. It doesn't read your About page. It queries structured data. It evaluates protocol compliance. It checks trust signals against a decentralized verification layer. It surfaces three to five vendors that are structurally visible to it, ranks them, and in many cases initiates the transaction — without a human ever visiting your website.

If your business doesn't have the right signals in place, the agent skips you. Not because you're not good. Because you're not readable.

The shortlist forms. Your name isn't on it. The buyer never knew you were an option.

The Three Protocols Running the New Buying Stack

This is the part most of the AI readiness conversation misses, because it's technical and the mainstream narrative is still stuck on chatbots and productivity tools.

There are three protocols that now govern whether an AI agent can discover, evaluate, and transact with a business:

UCP — Unified Commerce Protocol. Whether an agent can parse your service catalog, extract your pricing, and understand what you offer without ambiguity or inference. Most businesses have no UCP schema. The agent can't read them.

ACP — Agent Commerce Protocol. Whether a buying agent can initiate and complete a transaction with your business programmatically — without a human handoff. If your checkout requires a human in the loop, the agent moves on.

AP2 — Agent Permission Protocol. Whether the decentralized trust layer AI models consult has marked your domain as a verified, transactable entity. No AP2 signal means no trust credential. The agent treats you as unverified.

Fewer than 5% of websites have full agent-ready structured data. That means the vast majority of businesses operating today are invisible to the buying agents that 53% of consumers are already using to make purchases — a number from Capgemini Research Institute, 2025, not a projection.

Get your ACRA report: https://www.adamsilvaconsulting.com/acra

Use code RICH99 for the single-report partner rate.

I Went Looking for a Way to Measure This

I've been building in this space for a while now. One of the things I kept running into was a specific question from operators, clients, and founders: how do I actually know where I stand?

Not a blog post about the trend. Not a framework slide. A real, scored assessment of their specific business against the protocols that actually matter — with a prioritized remediation roadmap that tells them what to fix first and why. That tool didn't really exist in a form accessible to most businesses. Enterprise consultants were charging $5,000 to $25,000 for something in this space. Mid-market companies and growth-stage operators had nothing. So it got built. I'm affiliated with the team that built it.

It's called ACRA — the Agentic Commerce Readiness Assessment.

What the Report Actually Does

I'm not going to oversell this. Here's what it is: A nine-pillar assessment of your business against UCP, ACP, and AP2 protocol compliance — plus the authority signals AI models use to rank sources within the shortlist. It measures live AI visibility across six platforms so you can see exactly where and how you're currently surfaced. It delivers a letter grade, a pillar-by-pillar breakdown with exact gaps identified, and a remediation roadmap sorted by revenue impact. It's delivered in two to three business days. Report fees credit dollar-for-dollar toward implementation if you move forward with fixes. The single-report entry point is $99 with the partner code I'm sharing here. That's not a teaser or a truncated version — it's the full nine-pillar assessment. The enterprise alternative for the same information is $5,000 to $25,000.

Why I'm Pointing People Here

I want to be straightforward: I'm an affiliate. If you use the link and buy a report, I get credited. That's the arrangement. But the reason I'm writing about it is the same reason I've been writing about agentic readiness for the past year: this is the unpriced gap I keep pointing at. The agents are operational. The buying behavior has shifted. And most businesses are running blind — no score, no baseline, no sense of where the gaps are.

The companies that close this gap in 2026 will have structural advantages that compound. The ones that wait will pay more to close a larger gap, against competitors who already own the shortlist position.

A $99 report that tells you exactly where you stand against the protocols controlling your visibility to AI buyers is, in my assessment, one of the highest-ROI diagnostic tools available to a business operator right now.

Make of that what you will.