The 'Visit' is Dead: Why Your Next Customer Won't Be Human (And How to Sell to Them)

# The 'Visit' is Dead: Why Your Next Customer Won't Be Human (And How to Sell to Them)?

Let’s be honest for a second. For the last twenty years, we’ve all been playing the same game. We build a website, we buy ads to drive traffic to that website, and we pray the user clicks 'Add to Cart.'

The entire digital economy is built on the 'Session'. A human being sitting at a screen, navigating a linear funnel.

But if you look closely at what’s happening with Google, OpenAI, and Amazon right now, it’s clear that this era is ending. We are moving from e-commerce to Agentic Commerce.

In this new world, your next customer isn't a human browsing your 'New Arrivals' page. It’s an AI agent negotiating a deal on their behalf.

I’ve been diving deep into the infrastructure shifts happening right now from Google’s new protocols to the 'App-Free' phone and I want to break down what this means for Retail.

Here is the lay of the land for 2026.

## The Protocol Wars: The New 'Rails' of Retail

Right now, there is a massive invisible war happening to decide how AI agents will buy things. It’s coming down to three major players, and they all have very different visions for your brand.

![Protocol Wars](https://ricardas.b-cdn.net/Posts/ecommerce%20handshake%20between%20agents.png)

* **Google & Shopify (💼 The Diplomat):** They are pushing something called the Universal Commerce Protocol (UCP). Think of this as the 'HTTP of Commerce'. It’s designed to be open. Your brand 'broadcasts' its catalog, and AI agents 'negotiate' with you. It preserves your status as the 'Merchant of Record,' meaning you still own the customer data.
* **OpenAI (🏎️ The Fast Lane):** They are building the Agentic Commerce Protocol (ACP). This is all about speed. It’s designed for the 'Zero-Click' economy where a ChatGPT user buys instantly within the chat. It’s efficient, but the risk is that OpenAI owns the relationship, and you just become a fulfillment center.
* **Amazon (🏰 The Fortress):** Then there’s Amazon’s Rufus. They don’t want an open protocol; they want to ingest the web. Their 'COSMO' system uses 'truth data' (actual purchase history) to predict what you need before you even search.

The Takeaway: We are moving from a world of 'APIs' (rigid connections) to 'Protocols' (dynamic negotiations). If your tech stack can't 'negotiate' with an agent, you’re invisible.

## The Death of the Interface

This is the part that scares front-end engineers, designers and brand managers. The interface is disappearing.

We are seeing the rise of Generative UI. This means the 'page' doesn't exist until the user asks for it. If I ask an AI for 'tents for a rainy camping trip,' it won't show me your standard category page. It will 'hallucinate' a custom comparison table of waterproof ratings and a checklist of accessories, generated on the fly just for me.

![Generative UI](https://ricardas.b-cdn.net/Posts/Fluid%20interfaces%20on%20mobile.jpeg)

It gets crazier. Deutsche Telekom is launching an 'AI Phone' that has no apps. You don't open Uber or OpenTable; you just tell the 'Concierge' what you want, and it orchestrates the API calls in the background.

If there is no app and no website visit, where does your brand live?

## The Solution: Brand Ontology (Making Your Data 'Smart')

If the AI can't see your logo, it has to read your data. And right now, most of our data is 'dumb.'

We store data in SQL tables: Sku: 123, Color: Red, Material: Silk. But users talk to agents in Semantic language: 'I need an outfit for a summer wedding in Tuscany.'

![Brand Ontology](https://ricardas.b-cdn.net/Posts/Fashion%20Product%20Attribution.jpeg)

There is a massive Intent Gap here. A standard database doesn't know that 'Red Silk' + 'Flowing Fit' = 'Tuscany Wedding.'

To survive, we have to build Brand Ontologies essentially teaching the AI the 'DNA' of our brand. We need to map our products not just to 'categories' but to 'occasions,' 'vibes,' and 'concepts'.

Does it actually work? Yes. Look at House of Bruar. They enriched their product data with 'customer-friendly' language (semantics) and saw a 38% improvement in ROAS and a 51% increase in revenue. Why? Because they bridged the linguistic mismatch between what the customer asked for and what the system had.

## The New KPI: 'Share of Model'

Forget 'Share of Search.' The new metric for CMOs is Share of Model (SOM).

When a user asks Gemini, 'What is the best luxury boot for hiking?', does the model mention your brand? If not, you have a semantic problem. You need to start optimizing for AEO (Answer Engine Optimization), ensuring that the 'facts' about your brand in the Large Language Model are accurate.

![Share of Model](https://ricardas.b-cdn.net/Posts/share%20of%20model.jpeg)

## The Bottom Line

The era of the 'Static Store' is over. We are looking at a future where:

* Traffic is replaced by Transactions (negotiated by agents).
* SEO is replaced by AEO (Brand Ontology).
* Browsing is replaced by Predictive Intent.

We have a choice. We can become 'Ghost Brands' commoditized suppliers who just ship boxes for Amazon's AI. Or we can become 'Sovereign Brands' entities that own our data, speak the language of the protocol (UCP), and build experiences that an AI can't replicate.

The technology is here. The question is, is your data ready to talk to it?