Agentic commerce

Agentic commerce helps you get noticed, chosen, and trusted in AI-driven buying journeys

Summary:

Agentic commerce helps businesses influence decisions earlier, improve relevance, and compete in a landscape where demand is increasingly created rather than captured. It requires preparing product information, content, and decision capabilities for AI interaction. As customers rely more on AI assistants to interpret intent and recommend products or solutions, visibility depends on structured data, machine-readable content, and accessible commercial logic.

Win the decision before the customer even arrives in AI-driven buying 

AI is reshaping how buying decisions are made. Customers are no longer only browsing websites, they are also delegating discovery, evaluation, and comparison to AI assistants and autonomous agents. These systems interpret intent, shortlist options, and recommend outcomes before a customer ever visits your channel.  

Agentic commerce focuses on ensuring your products, services, and content are discoverable, understandable, and selectable in these AI-driven decision moments. This requires structured data, machine-readable content, and the ability to respond dynamically to intent.  

If your products, content and data are not understood by AI, you are invisible.  

Agentic commerce is not about adding AI to your storefront. It is about ensuring your business can participate in AI-driven decisions.  

With deep experience in digital commerce, data, and AI, we help organisations prepare for agent-led discovery and transform their digital presence into a decision-ready foundation.  

Are you optimising journeys that AI no longer uses? 

Most organisations are still focused on optimising traditional digital journeys, traffic, navigation, and conversion funnels. But buying behaviour is shifting upstream:  

  • Discovery happens inside AI assistants and conversational interfaces  
  • Evaluation is compressed into seconds  
  • Shortlists are generated automatically  
  • Recommendations are based on structured data and context  

At the same time, many organisations face new challenges:  

  • Product data is not structured for AI interpretation  
  • Content lacks semantic clarity and context  
  • Business logic is not accessible to AI-driven systems  
  • Visibility in AI-driven discovery is not measured  

Therefore, you are not only competing on experience, but competing to be selected before the experience even begins. Agentic commerce ensures your business is present where decisions are increasingly made.  

What it takes to become decision-ready

To compete in AI-driven buying journeys, organisations need more than awareness, they need capabilities. At Columbus, we focus on three critical areas that determine whether your business is visible, understood, and selected in AI-driven decisions.

GEO readiness: Making AI visibility measurable We help you understand how your brand and products appear in AI-driven discovery. Through visibility reporting and audits, we identify where you are surfaced, where competitors outperform you, and what signals influence selection. This creates a clear baseline for optimisation and investment.
Product information readiness: Making your data interpretableAI does not understand websites, it understands structured information. We ensure your product data is complete, standardised, and semantically clear across systems. This enables AI systems to interpret, compare, and recommend your offerings with confidence.

Agentic commerce readiness: Making your business executable Beyond visibility and data, your business must be able to respond to AI-driven interactions. We help you expose commercial logic, APIs, and decision capabilities so agents can evaluate, configure, and act on your offerings in real time.

Together, these capabilities transform your business from being present in digital channels to being selectable in AI-driven decisions.

Benefits of agentic commerce   

Agentic commerce signals a structural shift in how demand is captured and how purchasing decisions are influenced. As AI increasingly mediates product discovery and evaluation, visibility is no longer determined solely by traditional search or on-site experiences, but by how effectively organisations can participate in AI-driven interactions.

To remain competitive in this environment, companies must ensure their products and services are understandable to machines as well as people. This requires product data, content, and commercial logic that can be interpreted, compared, and surfaced by AI systems.

"When structured correctly, offerings can be evaluated, shortlisted, and recommended at the moment decisions are being shaped, often before a customer ever reaches a website."
Dan Andersson, GTM & Solution Area Director, Digital Commerce

Agentic commerce solutions that deliver results

Agentic commerce is rapidly moving from experimentation to execution. The organisations that succeed are those that operationalise three capabilities: visibility, data, and execution.

This is where our services are designed to create impact:
  • GEO readiness makes visibility measurable and actionable
  • Product information readiness ensures your data can be understood and trusted
  • Agentic commerce readiness enables AI-driven interaction and execution
Rather than isolated pilots, this creates a connected path from insight to commercial impact.

How agentic commerce and AI orchestration work together  

Agentic commerce and AI orchestration are not separate initiatives. They are two sides of the same transformation. Agentic commerce shapes how demand is created and how decisions are made. It ensures your products, services and data are visible, relevant and selected in AI-driven interactions.

From first interaction to final execution, every step then becomes connected, intelligent and continuously optimised.

Individually, they create value. Together, they redefine how your business operates.   

Where should you start?

Most organisations are not lacking ambition, rather they lack clarity on where to focus. We typically start with a structured assessment across three areas:
  • Your visibility in AI-driven discovery
  • Your product data readiness for AI interpretation
  • Your ability to respond to agent-driven interactions
This creates a clear, prioritised roadmap from current state to decision-ready business.

Frequently asked questions about agentic commerce

  • Agentic commerce is a model where AI agents actively influence or execute parts of the buying journey. These agents interpret intent, evaluate options, and recommend or initiate transactions based on data and context.

  • AI systems analyse customer intent, retrieve structured product and service data, compare alternatives, and generate recommendations. In some cases, agents can also configure products, request quotes, or initiate purchases.  

  • Agentic commerce represents a shift from human-led browsing to AI-mediated decision-making. AI agents increasingly detect intent, shortlist options, and guide purchases, fundamentally changing how brands are discovered and selected. Organisations that are not machine-readable risk being excluded before customers ever reach their channels.

  • The focus shifts from driving traffic to influencing AI-driven decisions. Businesses must ensure their product data, pricing, policies, and content are accessible to AI systems that compare and recommend options in real time.

  • Both. B2C benefits from AI-driven discovery and recommendations, while B2B benefits from AI-assisted evaluation, configuration, and solution comparison.

  • AI agents shift influence from visual experience to structured data and trust signals. Agents compare attributes such as price, availability, delivery speed, and policies, meaning operational clarity and data quality become key differentiators. 

  • Most organisations start by:  

    • Structuring product and service data  
    • Improving semantic clarity of content  
    • Making pricing and configuration logic accessible  
    • Identifying AI-influenced discovery points  
    • Defining measurable use cases  

    This creates the foundation for AI-driven decision participation.

Key takeaways:

  • Agentic commerce helps organisations be discovered and chosen in AI-driven buying journeys, where decisions are shaped before customers reach your channels.
  • Success requires business-led initiatives focused on influencing decisions and AI visibility, not isolated AI features or experiments.  
  • Long-term results depend on structured product data, accessible commercial logic, and continuous optimisation for evolving AI-driven discovery.

Get in touch

Dan Andersson
Dan Andersson

GTM & Solution Director, Digital Commerce

LinkedIn