ChatGPT, Perplexity, Claude, and Google AI Overviews now mediate the majority of high-intent product research. Your brand is either visible to them, or it is not. The Algorithmic Readiness Audit measures which, and what to do about it.
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Until recently, the person who needed a product and the entity that went out to find it were the same human. AI agents have changed that. Your buyer still decides what they need; the algorithm increasingly decides where the search begins. This is the Shopper Schism®.
AI agents are now routine for premium-purchase research. Buyers consult them before retailers and comparison sites.
Brands with a structured, machine-readable presence today accrue weight in tomorrow's models. Brands that are absent reinforce their absence.
AI agents do the comparison work that used to take buyers a weekend. Brands that win the algorithmic comparison layer take disproportionate share.
Every audit begins with a conversation, not a form that runs itself. We speak first, agree the scope together in writing, and I conduct the analysis personally. You receive the full report and a walkthrough of what it means for your brand.
We speak about your brand, your category, and what you want to know. Every engagement begins here.
We agree the scope together in writing: what will be measured, against which competitors, and what you will receive.
I run the Algorithmic Readiness Audit personally, scored against the Four Ds: Data, Discoverability, Decision clarity, Delivery.
You receive the complete findings and a personal walkthrough of what they mean and what to do next.
The Algorithmic Readiness Audit is scored against the Four Ds Framework: Data quality, Discoverability, Decision clarity, and Delivery reliability. It measures how readily an AI agent can find your brand, weigh it against the alternatives, and choose it. The ARA is the diagnostic tool for the AIO-Commerce era: the age when AI agents, not human shoppers, increasingly decide which brands, products, and suppliers get selected. The instrument also serves investors and deal teams assessing how ready a business is for agent-mediated demand.
The rubric is grounded in a published body of academic research on agentic commerce, the same buying-side theory that defines the Shopper Schism and derived from The Algorithmic Shopper (TXu 2-507-027). You receive a clear read on where the gaps are and what moves the needle. See the frameworks and the research behind it.
At the start of Q2 2026 the audit scored a US-listed online marketplace less than 25 out of 100: algorithmically invisible to the AI assistants its customers were starting to ask. The findings and recommendations were shared with the company. By July, the recommended machine-legibility fixes were live on its site, and its next public results reported revenue up 15 percent year over year, record profitability up 30 percent, and growth guidance above 20 percent. The audit claims no credit for the commercial results; it documents the arc: measured, recommended, implemented.
Most brands have never seen themselves the way an AI agent sees them. The Algorithmic Readiness Audit measures exactly that: what the machines can read when they look at your brand, what they cannot, and what it means for your visibility as commerce turns agentic. I run each analysis personally, as part of my research practice, and I take on a limited number at a time. If you would like to understand what the algorithms see, leave your details below and I will contact you directly to arrange a brief conversation.
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