
Commerce is undergoing its most fundamental transformation since the advent of e-commerce. This isn't simply about adding AI features to existing systems. It's a complete restructuring of how products are discovered, purchased, and experienced.
The best thing a business can do right now is grab a clean sheet of paper and reimagine everything. If you were designing your business from scratch, how would you build it to harness generative AI, conversational commerce, and agentic systems?
The shift applies to retailers, sure. But it also applies to:
the legacy accounting firm that's still relying on referrals and "Top 50 firm" badges
the specialist manufacturer that assumes buyers will keep emailing the sales inbox for quotes
the mid-market services business that thinks "our process is too relationship-based for AI"
That is over. Why?
Because the interface to your business is moving from human-led navigation ("I found you in Google, browsed your site, filled in your contact form") to agent-led execution ("I told my assistant what I need and it shortlisted you, or it didn't").
Of course, GEO and SEO techniques are being debated about what does and doesn't work to be found in ChatGPT these days, but that is just one piece of the puzzle that matters. If you are not structured so an AI agent can understand and advocate for you, you will not be surfaced. If you cannot be actioned, you will not be contacted.
Let's make this theory stick with a few examples, specifically for B2B:
The legacy accounting firm example:
Historically they get found through Google, local SEO, awards, Xero certifications, and personal recommendation.
In the new model, a business owner says to their assistant: "Find me an accounting firm in Wellington that specialises in tax strategy for construction companies, handles payroll, and can migrate us off spreadsheets by March 31". The assistant doesn't "do a search" in the old sense. It assembles an answer. That answer might be the final answer. That's zero-click intent. If your firm hasn't clearly published (in machine-readable terms) the industries you serve, the exact services you deliver, how fast you onboard, how you price, and proof you can deliver, you never even make the shortlist.
The manufacturing business example:
Procurement today: request a quote, wait, go back and forth with reps.
Procurement tomorrow: "Find a supplier that can deliver 5,000 anodised aluminium housings, IP67 rated, by 18 February, ship to Auckland, with past compliance in medical devices". The agent will pre-negotiate and present options. If your capabilities, tolerances, compliance history, lead times, and logistics windows are not explicitly documented in a way an agent can ingest and trust, you're invisible. You don't even know you were considered.
We are entering an era where buying and selling is becoming conversational, contextual, and integrated into our lives, all orchestrated by AI. This will apply to everyone. From tax advisory to logistics setups and recruitment pipelines.
And there are some critical questions to consider:
What does it mean if your website is no longer the front door to your business?
What does it mean when your most frequent visitor is not a person, but an agent?
What does it mean when an Agent is your biggest customer?
What does it mean when your buyer's browser is now their assistant?
What does it mean when Google, not your sales team, knows exactly when procurement is about to churn their current supplier and is preparing to offer a replacement?
Through this long-form piece, we will explore what this convergence of key forces means, how fast it is happening, and what to watch out for.
The Convergence of Three Forces
Three major forces are colliding at once:
The collapse of traditional marketing funnels and models into a single, contextual interaction.
The rise of conversational commerce around a new platform monopoly forming.
The emergence of agentic commerce.
This convergence marks a decisive shift in how products are discovered, purchased, and experienced. The funnel that once stretched from awareness to loyalty is imploding into a fluid, continuous loop of conversation, recommendation, and transaction.
Before we dive into each force, we need to understand that these are not isolated trends. They're interconnected, accelerating each other, and together they're creating what we call the invisible marketplace, where commerce happens between AI systems, orchestrated on behalf of users, often without anyone ever "visiting" your business in the traditional sense.
Let's break down each force, then see how they converge.
Force One: The Collapse of the Traditional Marketing Funnel
For decades, commerce followed a predictable logic: awareness, consideration, conversion. Marketers optimised for each stage, pouring billions into content, retargeting, and click-through funnels. That architecture is crumbling, for both B2B and B2C:
B2C: People won't browse → add to cart → buy.
B2B: People won't research through clicks → fill in whitepaper download form → book a call with a sales person.
They'll ask, chat, compare, and decide, often all within a few minutes, and with an Agent doing most of the work. The sales funnel is no longer a straight line.
And with the arrival of "buy it in ChatGPT", we've hit the decisive milestone. AI-driven discovery and conversational interfaces are flattening the funnel into a single step: intent → fulfilment. A shopper no longer wanders; they command. "Find me eco-friendly tiles under $50 per square metre". The agent responds instantly, filtering every variable (inventory, location, shipping window) without the user ever seeing a search page. You didn't browse. You didn't register. You didn't see a cart. You just said what you wanted, and the marketplace formed around you.
That's zero-click intent at the point of transaction. For customers, this is revelation. Everything at our fingertips, instant relevance, an assistant that knows us. For businesses, this is a shift they're not prepared for.
The value shift businesses need to realise.
Commerce is moving from attention capture to relationship sustainment. Brand relevance is shifting from pre-purchase (awareness and conversion) to post-purchase engagement. Brands will become valuable not through entertainment, but through utility delivered after the transaction.
Consider the delivery waiting period: anticipatory messaging ("Can't wait for you to get your product"), educational tips on how to use or maintain the product, proactive support guidance, creating a community around the product. The possibilities are endless. What's going to differentiate brands is how they focus on retention and loyalty to deliver value throughout the lifecycle of the product.
With 58% of consumers replacing traditional search engines with AI tools for product recommendations, the post-purchase experience must level up significantly. A simple order confirmation email and carrier tracking link isn't going to cut it anymore.
Product data becomes the ultimate weapon. If your product listings are poor, your images mediocre, or your inventory poorly displayed, you will disappear from the radar. AI will only sell what it understands and what is documented.
Differentiation shifts after the purchase because pre-purchase is being standardised and intermediated by assistants in a zero-click flow. You don't win the moment before checkout anymore. You win the six weeks after.
But how exactly is this zero-click commerce being delivered? That's where Force Two enters: the platforms that are orchestrating these conversations and building monopolistic control.
Force Two: The Rise of Conversational Commerce & the New Platform Monopoly
We need to be very clear about what's actually happening versus what's being hyped.
The Critical Distinction
Conversational ≠ Agentic Commerce. People keep blurring this and getting lost.
Conversational commerce: ChatGPT or Perplexity helping you discover products, compare features, read reviews, ask questions and make a decision in-thread. It's a new search and recommendation layer. It's happening today. It's already generating real revenue through channels like WhatsApp, Instagram DMs, on-site chat, and embedded assistants.
Agentic commerce: AI agents autonomously making purchase decisions, executing transactions, coordinating multi-vendor fulfilment, and handling post-purchase flows like delivery tracking, returns, warranties, and reorders. That's the "AI buys it for you" future.
Most of what's in market right now: Stripe's ChatGPT checkout, Perplexity plus PayPal, Amazon "Buy for Me," Meta Business AI handling in-thread transactions. These are assisted experiences, not autonomous agents. They still require the human to confirm the final step.
This is conversational commerce. It's real, and accelerating, but it still requires a human-in-the-loop.
But even this "assisted" layer is already killing the old funnel.
What Is Conversational Commerce in detail?
Conversational commerce combines commerce plus conversation. It lets customers discover products, ask questions in real time, purchase directly within chat or voice apps, and track, return, or reorder without leaving the conversation. It's commerce that flows at the speed of conversation.
The opportunity is massive and under-tapped. Global spend via conversational commerce is predicted to reach $290 billion in 2025, up from $41 billion in 2021. Over a third of consumers already use AI-powered conversations to research products, while 28% rely on them for recommendations.
Friction-free experience is the whole point. Historically, discovery and checkout lived in different places. You saw the product in one channel, you had to "click out" to finish. That's dead. Checkout is moving to the point of discovery.
This is already touching every vertical:
retail (guided product fit, abandoned cart recovery in DMs),
travel (flights, hotels, upsells),
financial services (quote qualification),
healthcare (appointment booking),
B2B (spec matching, lead qualification before the human rep touches it).
The conversation is now the storefront, the sales floor, the helpdesk, and, increasingly, the checkout. Importantly, the next battleground is the frontdoor of the internet: the browser.
So, who's 'winning' the Browser War?
The new battle is not "which AI model wins". It's "who owns the surface where intent first shows up". That's where AI-browsers come in.
Perplexity's Comet gave everyone the first mainstream taste of an AI-native browser: a browser that doesn't just show you pages, it actively researches, reasons, and takes the next step.
OpenAI recently launched Atlas, its AI browser that taps into its 800M Weekly Active Users to work towards becoming the internet's new frontdoor because they know if they don't sit at the point where you start thinking "I need to do X", then Google will.
Google will go harder at this than anyone because Google already owns the front door to the internet, they can't lose their dominance. Gemini is being wired straight into Chrome. That instantly turns Chrome from "the thing you use to access websites" into "the thing that just does the work for you". Chrome is no longer neutral. It's becoming an orchestrator. Chrome is being turned into that orchestrator for billions. This is how you get agent behaviour into daily life without the user ever thinking "I'm using AI". More here on this topic.
The line between "search engine" and "browser" is gone. The browser is now the assistant. The assistant is now the buyer. The buyer is no longer always human.
ChatGPT is positioned to become the next major commerce distribution platform. With 700 million users and the highest retention in the category, they have the engagement depth that makes platforms valuable. The early signals are visible: connectors to HubSpot, Box, GitHub. ChatGPT recently announced Instant Checkout with Etsy as launch partner and Shopify coming. Reports suggest they plan to "take a cut of ChatGPT driven sales", essentially becoming a marketplace...
The platforms are building the conversational layer. But to actually transact (to move from conversation to autonomous purchasing) requires new infrastructure. That's Force Three.
Force Three: The Emergence of Agentic Commerce
If conversational commerce compresses the funnel, agentic commerce deletes it. Agents don't browse; they execute. They compare specs, negotiate pricing, and trigger payments via new protocols like OpenAI plus Stripe's Agent Commerce Protocol and Google's A2P work. The promise is that you say what you need, and the system handles the rest, across multiple vendors, in one flow.
This future is already taking shape. A single interaction could trigger a multi-vendor transaction, orchestrated from start to finish by AI. One request, with multiple suppliers fulfilling the order, all through one coordinated delivery, with one payment and confirmation moment for the buyer.
That's the invisible marketplace again. You're not "on" it. You're "in" it if you're compatible, and "out" of it if you're not.
The Three-Phase Timeline
Phase 1: Traditional E-commerce (Current State): Customers actively search, browse, compare, and decide. Direct merchant relationships. Full visibility into customer behaviour. Complete control over the experience.
Phase 2: Conversational Commerce (Emerging and scaling quickly): Natural language interfaces dominate purchasing. Customers articulate needs. AI assistants serve up options filtered by availability, price, timeframe, and learned preferences. Discovery and selection transform entirely, but customers still actively initiate purchases. The merchant relationship starts to mediate through AI intermediaries.
Phase 3: Autonomous Purchasing (Not far off): AI systems purchase on behalf of users without active initiation. Predictive algorithms understand usage patterns well enough to replenish products before customers realise they need them. Traditional "active purchasing" becomes rare for routine, low-consideration categories.
Important caveats: high-consideration purchases (cars, property, significant fashion) will still require physical interaction. This evolution applies primarily to routine or well-understood product and services categories. But that's the majority of commerce volume.
Meanwhile, discovery is fragmenting. Social media won't vanish (people still want entertainment and connection) but the 90% "buy this now" saturation we see on Instagram could ease back toward friend content, and Social becomes one of many inputs into the Agentic commerce sequence: AI agents watch what you engage with socially, infer taste and intent, and carry that forward into purchase recommendations. Your interest is harvested before you even articulate it as a purchase.
The shift moves from binary signals (cookies, pixels) to organic, contextual understanding. AI agents develop comprehensive knowledge through ongoing conversations. ChatGPT's 700 million-plus user base lets it build a unified, memory-rich profile that's more holistic than any one app's tracking ever was. It knows not just what you clicked, but why you cared.
The catch for businesses is that we don't have five years to get ready for this shift.
The Infrastructure Being Built Right Now
Agent-mediated commerce requires entirely new infrastructure. Three layers are common across all implementations:
Catalog Layer: Platforms need catalogues from merchants. There are two ways: Pull (web crawling) or Push (merchants proactively making catalogues AI-friendly). A whole science is emerging around GEO (Generative Engine Optimisation). Shopify and PayPal recently introduced agentic tools exposed via MCP servers to help brands show up.
Payment Layer: OpenAI partnered with Stripe to build the Agent Commerce Protocol (ACP). Google is building A2P with Mastercard and a coalition of payment providers. Visa and Mastercard recently introduced the agentic network token concept, a token and dynamic CVV valid for a single transaction. Shared payment tokens represent ring-fenced authorisation for agent spending.
Execution Layer: Where checkout happens. This can be Agentic flows (browser-based agents navigating merchant websites) or Integrated flows (traditional connections with merchants). Winners will be those most flexible in their approach.
The likes of Shopify's universal catalogue amplify this. Thousands of stores become searchable through a single interface. Users build carts combining products from multiple merchants worldwide.
And the last mile of the transaction (unified multi-vendor checkout, centralised fulfilment orchestration, one payment that correctly splits downstream) is exactly what OpenAI, Google, and Stripe are sprinting at.
That's game over for "traffic acquisition" as your main strategy. Traffic will diminish the way it used to (although those that do come to your website will have very high intent!). The assistant pulls you in or it doesn't.
A new frontier of Trust and Verification: The KYA Framework
When an AI system acts on behalf of a human or business, verification becomes the new backbone. You need to prove the link between human intent and payment, determine if a request is legitimate, log who is accountable, and create auditable trails.
This is where KYA comes in: Know Your Agent ( the evolution of KYC: Know Your Customer). You verify agent identity and authority. You confirm the agent is acting under legitimate instruction. You prevent agent impersonation. You preserve the accountability chain.
This will end up as mandatory compliance. There's no way enterprise finance signs off agentic spend without KYA-grade traceability.
It's also worth noticing who's building all the rails for this...
Google is wiring Gemini across Chrome, Workspace, and payment flows.
OpenAI is wiring Stripe and memory and transactional flows into ChatGPT.
Perplexity is wiring commerce hooks into Perplexity plus PayPal.
Meta is wiring transaction into WhatsApp/Instagram Business AI.
They are not just chatting. They are laying payments, trust, and identity foundations for the invisible marketplace.
Where We Actually Are: Reality Check
We need to be honest: conversational commerce is in the early innings and scaling quickly. Agentic commerce is still in proof-of-concept.
AI's potential is bottlenecked by content quality, not compute.
Most product reviews are noisy, gamed, or overly polarised.
To move from recommendations to transactions, agents must interface cleanly across retail platforms, and this infrastructure is fragmented today.
Agent memory must be dynamic.
Trust and liability remain unsolved.
Who's responsible if an agent makes a "bad buy"? Returns are already 50% on fashion marketplaces.
Prompt injection is a serious security risk.
The direction of travel is pretty clear (Frictionless discovery, personalisation at scale, automated purchasing), but the gaps to get there are immense.
This is where the three forces converge.
The Invisible Marketplace: Where the Three Forces Converge
Commerce becomes a background service. You say what you need. The AI assistant orchestrates a multi-vendor transaction, end to end, in one flow. Let's recap this:
It selects products from several retailers.
It checks availability and compares prices.
It assembles the combined order.
It coordinates logistics for on-time delivery.
It presents a summary (what's in the cart, final cost, delivery timing, even nutrition/impact scoring).
It waits for your approval or tweaks.
It initiates a single payment.
That's not hypothetical. That is already starting to ship.
The marketplace is no longer Amazon, Shopify, your DTC site, or your retail partner. The marketplace is the AI layer that sits on top of all of them and arbitrages them for the buyer, in real time, based on exact context.
Once the invisible marketplace goes mainstream, your "website experience" is background noise unless you are one of the few suppliers that the marketplace is willing to transact with. These new "invisible marketplaces" operate entirely between AI systems. Instead of navigating traditional search results or e-commerce websites, AI Agents communicate directly with product AI, aligning user needs with relevant offerings. Users may never see the traditional marketplace. AI streamlines the discovery, recommendation, and trial processes behind the scenes. By the time humans participate, many decisions may already have been made.
This is where the death of the funnel (Force One), the rise of conversational commerce platforms (Force Two), and the emergence of agentic infrastructure (Force Three) all come together into a single, seamless experience.
This is the invisible marketplace. It sits between the user and every brand. It is orchestrated by AI. It is contextual and it is instant.
So What Do You Actually Do?
These are the moves for mid-market Execs. Not Tier 1. Not FAANG. Normal businesses that don't have a 40-person internal AI team.
1. Build the Machine-Facing Source of Truth
You need one canonical, always-current source that states who you are, what you do, how you operate, how you deliver, how you support, who you serve, and on what terms. This is not a brochure. This is a spec sheet for agents. Brands are growth hacking this.
The point is to give assistants a single, trusted reference so they don't hallucinate you. AI will happily misrepresent you if you don't give it something better. If you don't deliberately shape how you're described, someone else (or something else) will.
Clean up your service data, including scope, compliance, delivery timelines, and terms. Expose it in structured, machine-readable form. Keep it updated. Make it unambiguous. If the agent can't parse you, you're out of the consideration set before a human even knows you existed.
For manufacturers: document capabilities, tolerances, compliance history, lead times, logistics windows.
For service firms: industries served, exact services delivered, onboarding speed, pricing structure, proof of delivery.
For B2B: specifications, SLAs, integration requirements, support tiers.
For Retailers: clean and detailed product feeds.
2. Begin Restructuring Value and Focus Around Post-Transaction, Not Pre-Transaction
Brand relevance is moving from "can you get attention" to "do you deliver utility after the transaction". Anticipate needs. Send guidance. Help them get value from what they engaged you for. Give them a reason to come back without being asked.
Differentiation shifts after the transaction because pre-transaction is being standardised and intermediated by assistants in a zero-click flow. It's not optional to deliver a robust post-sale experience anymore. It's mandatory for the customer to even reconsider your business.
This applies whether you're selling products, services, or solutions. The delivery experience, the support experience, the ongoing relationship experience, that's your moat now.
3. Prepare to Transact with Agents, Not Just Customers
Agents are already behaving like buyers. They are comparing terms, friction points, SLA clarity, pricing stability, and delivery speed. They are doing it faster and more ruthlessly than any human buyer. That requires a whole new way of thinking and infrastructure building.
4. Build for Orchestration and Integration
The invisible marketplace model means your service will increasingly be bundled or coordinated alongside others in a single engagement. That's multi-vendor by default.
That implies: friction-free engagement (no forced RFP processes for standard work, no 8-step procurement for known scope), clear commercial terms (you still need to control margin and stay compliant), and integration (whether that's API access, data flows, or operational handoffs that work like any other engagement).
Speed and efficiency matter because machine customers expect real-time. If your systems can't respond to agent-sourced enquiries or your processes choke on requests that didn't come through traditional channels, you're telling the future "we're not compatible".
5. Move Now, Without Getting Stupid
The first wave of businesses that become easy for agents to understand, trust, and transact with will get locked in as defaults. Preferred vendors. Known quantities. They'll get surfaced more, selected more, and referenced more.
But if you sprint in with trash data, broken delivery, unclear terms, or fantasy SLAs, agents will absolutely punish you. Agents won't "be nice because you're a brand". They'll cut you.
Of course, it won't all be relevant immediately, nor will it all eventuate like the utopia Big Tech talk about. But AI is a technology that you don't want to bet against. And building the muscle of being curious, testing, experimenting, and learning is paramount for any Exec to ensure it stays competitive.
The Uncomfortable Truth
You can't opt out of this transformation. Your competitors won't. Your customers won't. Markets are ruthless about efficiency, and agent-mediated commerce is more efficient than manual discovery and purchasing.
The only choice is whether you navigate this transition with eyes open or closed. Whether you position strategically or react desperately. Whether you build for the future while extracting value from the present, or cling to current models until they collapse.
The next eighteen months will separate winners from casualties. The platforms are moving, the infrastructure is being built, and customer behaviour is shifting.
Understanding the pattern isn't enough. Action is required:
Strategic positioning.
Investment reallocation.
Capability building.
Partnership formation.
Technology integration.
Process redesign.
The future of commerce isn't coming. It's already here. Grab the clean sheet of paper. Redesign around this new reality.
Written by Mike ✌

Passionate about all things AI, emerging tech and start-ups, Mike is the Founder of The AI Corner.
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