Jan 12, 2026

Agentic Commerce: everything you need to know

Agentic Commerce: everything you need to know

Illustration of artificial intelligence in e-commerce: robotic hand pushing a shopping cart with a smartphone, gifts, and a credit card, representing online shopping automation, AI in digital retail, and smart e-commerce.
Illustration of artificial intelligence in e-commerce: robotic hand pushing a shopping cart with a smartphone, gifts, and a credit card, representing online shopping automation, AI in digital retail, and smart e-commerce.
Illustration of artificial intelligence in e-commerce: robotic hand pushing a shopping cart with a smartphone, gifts, and a credit card, representing online shopping automation, AI in digital retail, and smart e-commerce.

What is Agentic Commerce?

Agentic Commerce is the model of digital commerce in which AI agents make decisions, take actions, and conduct purchases autonomously or semi-autonomously on behalf of users or companies.
In this model, AI not only recommends but also acts to compare, negotiate, purchase, and optimize results.

Why is Agentic Commerce gaining relevance?

What has changed in buying behavior?

People are delegating decisions to intelligent systems.
AI assistants already help users choose products, monitor prices, and execute tasks without constant interaction.

Agentic Commerce arises because:

  • The volume of choices has become excessive

  • Users seek convenience and efficiency

  • AIs already understand context, preferences, and objectives

How does Agentic Commerce work in practice?

What does an AI agent do in a purchase?

An AI agent observes, decides, and executes actions based on defined objectives.

Common flow:

  1. Understands the user's need

  2. Researches available options

  3. Compares prices, reviews, and conditions

  4. Decides on the best alternative

  5. Executes or recommends the purchase

What is the difference between Agentic Commerce and AI-Commerce?

Are they the same thing?

No. Agentic Commerce is an evolution of AI-Commerce.
While AI-Commerce supports decisions, Agentic Commerce executes decisions.

  • AI-Commerce: recommends and optimizes

  • Agentic Commerce: decides and acts

Where is Agentic Commerce already being applied?

What are the main use cases?

Agentic Commerce is already present in real operations.

Examples:

  • Automatic repurchases

  • Monitoring and purchasing at the best price

  • Personal assistants that close orders

  • B2B agents for simple negotiations

How do AI agents choose products and brands?

What influences an agent's decision?

AI agents choose based on structured data and reliable information.

Main criteria:

  • Clarity of information

  • Consistency of attributes

  • Reviews and trust signals

  • Objective commercial conditions

What is the role of clear content in Agentic Commerce?

Does content influence automated decisions?

Yes. Agents depend on clear content to act correctly.

Most used content:

  • Objective definitions

  • Standardized specifications

  • Direct answers to questions

How to prepare for Agentic Commerce?

What do companies need to do now?

Preparing for Agentic Commerce means making your brand understandable to AI agents.
This involves structuring information for search engines, response mechanisms, and generative systems.

Essential pillars of preparation:

  • GEO (Generative Engine Optimization): ensures that products, services, and brands are correctly understood, cited, and used by generative AI engines during automated decisions.

  • AEO (Answer Engine Optimization): ensures that frequently asked questions about products, prices, use, and conditions have clear, reusable, and actionable answers for agents.

  • Structured data: facilitates comparison and interpretation by automated systems.

  • Consistent content: reduces ambiguity and increases predictability in agents' decisions.

Companies that do not organize their information risk being ignored by autonomous agents.

Does Agentic Commerce replace humans?

Do people stop deciding?

No. Humans continue to define objectives, rules, and limits.
The agents execute decisions within strategic parameters.

Ideal model:

  • Humans define the strategy

  • Agents execute tasks

  • Systems monitor results

What challenges does Agentic Commerce present?

What do companies need to consider?

Agentic Commerce requires technological maturity and governance.

Main challenges:

  • Supervision of agents

  • Quality and standardization of data

  • Security and accountability

  • Transparency in decisions

Frequently Asked Questions (FAQ)

Is Agentic Commerce the same as automation?

No. Automation follows fixed rules; agents make adaptive decisions.

Can AI agents buy on their own?

Yes. As long as they have defined permissions and limits.

Does content influence agents' decisions?

Yes. Agents rely on clear and structured information.

Are GEO and AEO relevant for Agentic Commerce?

Yes. They help agents understand, compare, and decide based on reliable content.

Is Agentic Commerce already a reality?

Yes. It is already used in repurchases, price monitoring, and assisted purchasing.

Conclusion

Agentic Commerce is the evolution of digital commerce to a model operated by intelligent agents.
As AIs begin to decide and execute purchases, clarity of information, content structure, and objective answers become non-negotiable.

Preparing now means ensuring that your brand is understood, considered, and chosen by AI agents in the near future.