For years, businesses have worked to make themselves discoverable online.
First through search engines. Then through social platforms. More recently, through AI assistants.
But another transition is underway, and I believe it deserves far more attention.
AI is moving from helping customers decide what to buy to helping them complete the transaction.
That changes the question businesses need to ask.
It is no longer just, "Can ChatGPT find and recommend my company?"
It is increasingly, "Can an AI assistant actually help someone do business with me?"
This evolution builds on an earlier shift I explored in Your Website Has a New Audience. And It Isn't Human. AI systems are becoming a new audience for business websites. Agentic commerce takes that relationship a step further, from accessing information to completing actions.
The shift from answers to actions
Think about the traditional customer journey.
Someone searches for a service, compares providers, visits websites, checks reviews, and eventually contacts a business.
AI has already started compressing the discovery and comparison portions of that journey.
Now it is beginning to compress the transaction itself.
OpenAI introduced Instant Checkout and the Agentic Commerce Protocol in September 2025, creating infrastructure for eligible merchants to support purchases through ChatGPT.
Google introduced the Universal Commerce Protocol in January 2026, establishing a common language for AI agents, merchants, and payment systems. Its subsequent shopping initiatives have extended this direction.
And in October 2026, Shopify announced broader access to its catalog for AI agents.
These developments suggest that AI-powered commerce is not simply another traffic acquisition channel.
It is becoming a different interface between businesses and customers.
A real example: Booking a consultation through AI
I have been exploring this transition directly at Monic AI Systems.
We recently built and tested an integration that connects our strategy-call booking system with ChatGPT.
The experience allows a user to view availability and complete a consultation booking through a connected AI application.
That is a relatively simple action compared with a complex retail transaction.
But the underlying principle is important.
The assistant can move beyond recommending a business and initiate a useful action with that business.
For a consulting firm, the action might be scheduling a call.
For a retailer, it might be placing an order.
For a software company, it might be starting a trial.
For a service provider, it might be requesting an estimate.
The commercial significance is not that the AI can answer another question. It is that the customer can move forward without restarting the process elsewhere.
Our booking integration is currently a tested implementation, not evidence that ChatGPT automatically offers it to every potential customer.
That distinction matters.
Being transactable doesn't mean being recommended
Here is where I think businesses could make an expensive mistake.
They may assume that integrating their storefront, checkout, or booking system with an AI platform automatically improves their likelihood of being recommended.
Those are two different capabilities.
One concerns how the assistant discovers, understands, evaluates, and recommends a business.
The other concerns whether the assistant can complete an action through an authorized integration.
A product can be technically purchasable through AI yet still fail to appear in relevant customer recommendations.
A service provider can have a sophisticated booking integration yet remain poorly understood by the models customers consult.
The connection between these capabilities will matter enormously.
What should businesses prepare for?
I see three practical requirements emerging.
1. Recommendation readiness
Can AI systems accurately understand what the business offers, who it serves, and what differentiates it?
Clear descriptions, authoritative information, relevant buyer questions, and independent corroboration all matter.
2. Transaction readiness
Can authorized AI systems access current product information, availability, pricing, booking functions, or other relevant actions through supported integrations?
This may involve a merchant platform, commerce protocol, API, or connected application.
Not every business needs to build a custom ChatGPT app.
3. Measurement readiness
Can the business distinguish between being mentioned, recommended, selected, and ultimately transacted with?
Without this distinction, companies risk measuring exposure while missing the actual customer outcome.
The next competitive question
I expect a growing number of businesses will soon be technically capable of transacting through AI.
The harder question will be which businesses an assistant presents to the customer in the first place.
This is why AI visibility and agentic commerce should not be treated as separate conversations.
One creates the opportunity to be considered.
The other creates an opportunity to act.
My view is that the next stage of AI readiness will require both.
The future competitive advantage will not simply belong to businesses that AI can find. It will increasingly belong to businesses that AI can understand, recommend, and help customers do business with.
