The era of human-centric marketing is over.
Soon, the buyer won't be a person. It will be a machine acting for one.
When that happens, everything marketing was built on stops working. The banner no one clicks. The keyword you outbid rivals for. The clever headline. Machines don't read ads. They read signals.
The brands that win won't be the loudest. They'll be the ones machines can understand, verify and trust — clean data, compatible protocols, promises that are kept on delivery.
MARK measures whether machines prefer you (Share of Model, Machine Preference Index, Agentic Readiness Score), shows you exactly where you're losing, and hands you a ranked list of what to fix. Every month, you know one thing: are we being chosen, or passed over?
The machines are already choosing. MARK tells you if it's you.
One system. Four pillars.
Each pillar is an independent module that ladders into the overarching Autonomous Growth System. MARK is the active implementation of Pillar 1.
Agentic Commerce
Architecture for the layer where sovereign agents — not humans — discover, evaluate and transact. Structured signals, protocol negotiation, autonomous selection.
Operational Alpha
First-party data business intelligence. Margins and efficiency via AI-native workflows and predictive business-level intelligence.
Personalised Agents
Productivity and output through automated workflows tailored to the individual's unique context.
Intelligent Governance
The guardrails: data compliance, business priorities and the regulation layer that keeps the system aligned.
The definitional guides behind the framework.
Evergreen explainers on the disciplines MARK measures. Start here, then see the metrics in the product suite.
AEO vs ACO: Why Being Discoverable Is No Longer Enough
AEO makes you discoverable in AI answers. ACO makes you the brand an agent actually chooses. Here is why the difference determines who gets the sale.
Read the guide →What Is Agentic Commerce? A Definition (and the Two Layers Underneath It)
Agentic commerce is commerce initiated, evaluated and executed by AI agents on a buyer's behalf. Here is the definition, and the two layers underneath it.
Read the guide →What Brands Need to Get Right in the Era of Agentic Commerce
Agentic commerce is operational readiness, not content. Brands need clean data, structured feeds, verifiability, and cross-functional ownership.
Read the guide →The Compressed Journey: How AI Chat Is Collapsing Awareness, Consideration and Purchase Into One Conversation
Three prompts now take a shopper from need to purchase inside one AI conversation. Here is what the compressed journey means for brand strategy, content and measurement.
Read the guide →AI Agents Are Becoming a New Sales Channel. Most Organisations Have Nobody Accountable for It.
AI agents now recommend, compare and transact on the customer's behalf. When an agent chooses a competitor instead of your brand, who is accountable? That is the Agentic Accountability Gap.
Read the guide →AI Data Is Becoming Easier to Produce. Knowing What to Do With It Isn't.
AI visibility data is becoming easier to produce. Learn why interpreting brand signals and deciding what to do next still requires judgement.
Read the guide →