The Rise of Agentic Commerce And The Evolution From SEO to GEO to ACO

A VentureFuel POV from Shoptalk Spring 2026

Walking the floor at Shoptalk Spring, one thing became clear:

👉 Commerce isn’t evolving—it’s being rebuilt for AI.

Not just how products are marketed. But how they are discovered, represented, evaluated, and purchased.

This shift isn’t one trend—it’s a full-stack rearchitecture of commerce. Or as one client shared with me "Could this be the very early stages of true Agentic Commerce?"

At the center of it is a new progression:

👉 SEO → GEO → ACO

But that’s just the foundation. Around it, an entire ecosystem is forming.

The New Commerce Stack

1. Discovery & Performance — The Shift from SEO → GEO → ACO

This is the most important transformation happening right now.

• Refibuy
• Azoma
• Newtone
• Profound

This is the most important transformation happening right now.

SEO → GEO → ACO

• SEO (Search Engine Optimization) Optimizing for Google rankings and human clicks
• GEO (Generative Engine Optimization) Structuring content so LLMs: Understand your products, Cite your brand, Include you in AI-generated answers
• ACO (Agentic Commerce Optimization) Optimizing for: AI shopping agents, Recommendation engines, Autonomous decision-making

How the players map:

• Newtone → bridges SEO to GEO (content structured for both Google + LLMs)
• Profound → monitors and refines how brands are represented inside AI outputs
• ReFiBuy.ai / Azoma→ optimize product data and performance inside AI-driven commerce flows

We have seen both Profound and Azoma do very impressive work across our clients.

👉 The key insight:

GEO makes you visible and understood. ACO determines whether you win.

This is a shift from:

• Ranking pages → to influencing models → to optimizing agent decisions

2. AI-Native Experience Layer — Where Commerce Happens

• DaVinci Commerce
• Bayezon: on LinkedIn BAYEZON AI

This layer is redefining the storefront itself.

These platforms enable:

• Conversational shopping inside LLMs
• AI-powered brand storefronts
• Agents guiding end-to-end purchase journeys

👉 The implication:

Your website is no longer the default point of conversion. The transaction increasingly happens inside AI interfaces.

A client shared with me about DaVinci Commerce: "Could this be the very early stages of true Agentic Commerce?" — it has that kind of potential.

3. Optimization & Conversion Layer — Real-Time Performance Engines

• Coframe
• Kahoona

Once traffic (or agent attention) is captured, this layer drives performance.

Capabilities include:

• AI-generated and tested page variations
• Predictive personalization
• “Digital body language” and intent modeling

👉 These systems create continuous optimization loops: Generate → test → learn → adapt

4. Intelligence Layer — Understanding the New Signal Landscape

• Pendulum

Consumer signal has shifted—dramatically.

Pendulum captures:

• Video
• Audio
• Image recognition
• Text

👉 In a world dominated by TikTok, YouTube, and podcasts:

Text-based analytics are no longer enough.

This is the rise of multimodal intelligence.

5. Identity & Retention Layer — The Missing Link

• Zenivize

One of the biggest structural gaps in agentic commerce:

👉 AI-driven discovery is often anonymous

Zenivize addresses this through:

• Mobile wallet-based identity
• Persistent offers, loyalty, and promotions
• Always-on engagement channels

👉 This becomes the bridge from: AI discovery → owned customer relationship

6. Infrastructure & Margin Layer — The Economic Reality

• Keychain
• Streamlane

While much of the innovation is AI-driven, fundamentals still matter.

Keychain is rethinking how brands source and manage manufacturing and supply chains:

• Connecting brands with vetted manufacturing partners
• Bringing transparency and efficiency to sourcing
• Reducing friction in product creation and scaling

👉 This sits upstream of commerce—but directly impacts:

• Speed to market
• Cost structure
• Supply chain resilience

Streamlane complements this by focusing on:

• Shipping optimization
• Reducing one of eCommerce’s largest cost drivers

👉 As acquisition becomes more complex:

Margin becomes the new battleground.

The Big Shift

This emerging stack reflects a fundamental transition:

Old World:

• Website = storefront
• SEO = discovery
• CRM = retention
• Ads = growth

New World:

• GEO determines if you exist in AI outputs
• ACO determines if you get chosen
• AI interfaces become the storefront
• Identity becomes the constraint

What to Watch

1. GEO + ACO Become Core Capabilities

SEO won’t disappear—but it will be table stakes.

The real advantage shifts to:

• How AI understands you (GEO)
• How AI selects you (ACO)

2. The Storefront is Moving Into AI

Platforms like DaVinci and Bayezon suggest:

• Commerce will increasingly happen within AI environments
• Not on traditional brand-owned sites

3. Identity Becomes More Valuable

As AI intermediates discovery:

• Direct customer relationships weaken
• Persistent identity layers (like Zenivize) gain importance

4. Signal Becomes Multimodal

Understanding consumers now requires:

• Video
• Audio
• Visual context

Not just text and clicks

5. The Stack is Still Fragmented

No single company owns this ecosystem—yet.

👉 Which means:

• Opportunity for early movers
• Risk for brands that wait

Final Thought

👉 Commerce isn’t moving online—it’s moving into AI.

And the shift isn’t just from SEO to something new.

👉 It’s from SEO → GEO → ACO, surrounded by an entirely new stack of capabilities.

The question for brands is no longer:

“How do we optimize our website?”

It’s:

👉 “How do we show up—and win—inside AI?”