What Is Agent Intent Optimization (AIO)? The Discipline That Replaces SEO in the Agentic Commerce Era
AIO stands for Agent Intent Optimisation, the marketing discipline of optimizing products, services, content and commercial infrastructure for AI agents rather than human consumers. I coined the phrase in 2025 and published as a foundational paper on SSRN (ID: 5511758)
Beyond the Kitchen: Why the Shopper Schism Applies to Tourism, PR, and Professional Services
The Shopper Schism does not stop at consumer goods. Tourism, professional services, and PR are all sectors where AI agents will decompose selection criteria into structured, evaluable attributes. Paul Accornero examines how the structural separation of consumer and shopper reshapes service industries.
Commercial Excellence in the Agentic Age: A Preview of the AACSB Insights Framework
In June 2026, AACSB Insights will publish a framework I have been developing for two years. It addresses a question that most commercial organisations are not yet asking: what does commercial excellence look like when the buyer is not human?
The framework is the Agentic Commerce Maturity Framework, and it emerged from a specific frustration. Every diagnostic tool available to commercial leaders today assumes a human decision-maker at the centre of the purchase process.
The Brand Is Not Dead. It Is Being Audited by an Algorithm with Perfect Memory.
AI shopping agents do not forget. They do not forgive. And they do not respond to brand storytelling. The Trust Paradox explains why brand trust migrates from consumer to algorithm in agent-mediated commerce. Brand trust, in the classical marketing literature, is a psychological construct. It lives in the consumer’s mind. It is built through repeated positive experiences, consistent messaging, emotional resonance, and social proof.
From SEO to AIO: The Strategic Migration Every CMO Will Make in 18 Months
SEO optimised for human attention. AIO optimises for machine evaluation. The migration from one to the other is not an upgrade; it is a reconstruction. Here is the structural argument and the roadmap. Every CMO in the Fortune 500 has an SEO strategy. Within 18 months, that strategy will be insufficient. Not inadequate. Not underperforming. Structurally insufficient, like optimising a telegram when the telephone has been invented.
This is not a prediction rooted in hype. It is a structural argument grounded in what AI agents actually do when they interact with commercial content. And what they do is fundamentally different from what human searchers do.
The 1,300% Signal: What ChannelEngine’s AI Traffic Surge Tells Us About the Shopper Schism
ChannelEngine reports a 1,300% surge in AI-agent traffic. Invisible launches an Agentic Commerce Adapter. Genstore ships AI-native storefronts. The Shopper Schism is no longer theoretical. It describes a structural separation: the permanent disaggregation of the human consumer who experiences a product from the algorithmic agent that increasingly selects, evaluates, and purchases it.
13 Predictions About Agentic Commerce (And How to Falsify Them)
Testable predictions about what happens when AI agents replace human buyers. Each prediction includes the evidence that would prove it wrong. Theory, not commentary. Derived from the integrated Agentic Commerce framework.
The Invisible Website: What a Hidden Meta Tag Taught Me About Agent Intent Optimisation
A hidden noindex meta tag rendered theaipraxis.com invisible for two months. The lesson is not about SEO. It is about why Agent Intent Optimisation demands a fundamentally different infrastructure posture.
Not in the way that a restaurant closes for renovations or a shop locks its doors overnight. It existed physically; the pages loaded, the text rendered, the frameworks sat there waiting for readers. But to every search engine on the planet, and to every AI agent crawling the web for information about agentic commerce, theaipraxis.com was a blank wall. Invisible. Silent. Gone. The culprit was a single line of code: <meta name="robots" content="noindex">.
GEO, AIO, and the Question Every Commercial Strategist Is Getting Wrong
GEO optimises for AI citation. AIO® optimises for autonomous agent selection. Understand the distinction that will define commercial strategy in the decade ahead.
The marketing profession has a long tradition of adopting new acronyms faster than it develops new thinking. GEO - Generative Engine Optimisation - is the latest addition to that tradition. It describes something real and commercially important. It also creates a conceptual ceiling that, if left unexamined, will cost organisations significant revenue.
Algorithmic Readiness in the Age of Agent Reputation: Five Questions Every Commercial Leader Must Answer
1.5M+ claimed agents. Reddit-like format. Explain “molts,” “submolts,” the lobster metaphor, OpenClaw/Moltbot origins. Then the critical lens: The Economist’s “humdrum explanation” — agents may simply be mimicking social media patterns from training data. MIT Technology Review’s “AI theater” framing.
Google’s Universal Commerce Protocol: An Analysis Through the Lens of Agentic Commerce Theory
Agentic commerce is the paradigm of commercial exchange in which autonomous AI systems, operating on delegated authority from human principals, assume the shopper function - executing search, evaluation, and purchase decisions through computational logic rather than psychological influence.
Beyond the Kitchen: Why the Shopper Schism Isn't Just About Consumer Goods
Your hotel doesn't compete for your loyalty anymore—Booking.com does. The same transformation is coming for PR, legal, financial services, and every industry that thinks it's different. New research from Paul F. Accornero.
AI Co-Pilot vs. Autopilot: The Most Dangerous Strategic Error a C-Suite Leader Can Make Today
Business leaders are investing billions in "AI" without understanding a critical distinction: the difference between a Co-Pilot and an Autopilot. One augments your current business model, making it more efficient. The other makes it obsolete by replacing the human decision-maker entirely. This article cuts through the hype to provide a clear, actionable framework for leaders , arguing that preparing for a Co-Pilot when an Autopilot like the Algorithmic Shopper is coming is a potentially fatal strategic error.