Why E-commerce Brands Need to Act Now

Agentic commerce is no longer theoretical. Buying behaviour, platform infrastructure, and regulation are already shifting. Brands that prepare early will participate on their own terms. Others will be forced to adapt later.

$3-5 trillion

Projected agentic commerce market by 2030 (McKinsey, January 2026)

$3-5 trillion

Projected agentic commerce market by 2030 (McKinsey, January 2026)

$3-5 trillion

Projected agentic commerce market by 2030 (McKinsey, January 2026)

45%

Consumers already use AI for part of buying journey (IBM Institute for Business Value, 2026)

45%

Consumers already use AI for part of buying journey (IBM Institute for Business Value, 2026)

45%

Consumers already use AI for part of buying journey (IBM Institute for Business Value, 2026)

83%

Consumers share concerns about privacy, data misuse, and unsolicited marketing. (Gartner, February 2026)

83%

Consumers share concerns about privacy, data misuse, and unsolicited marketing. (Gartner, February 2026)

83%

Consumers share concerns about privacy, data misuse, and unsolicited marketing. (Gartner, February 2026)

How Lex Agentica Works

Lex Agentica helps ecommerce leaders prepare for AI-mediated and agentic commerce in a structured, low-risk way.
Services can be delivered individually or combined into a single, structured engagement, depending on priorities and scope.

These services strengthen the signals AI systems rely on to understand, trust, and recommend your products: from structure and content to authority, accuracy, and compliance

These services strengthen the signals AI systems rely on to understand, trust, and recommend your products: from structure and content to authority, accuracy, and compliance

AI Visibility and Authority Assessment

For ecommerce leaders who need to understand how AI systems currently see, interpret, and recommend their brand and products. Outcomes: • AI visibility baseline across key AI systems • Brand and product representation map • Eligibility gaps and competitor comparison • Priority actions to improve AI visibility

AI Visibility and Authority Assessment

For ecommerce leaders who need to understand how AI systems currently see, interpret, and recommend their brand and products. Outcomes: • AI visibility baseline across key AI systems • Brand and product representation map • Eligibility gaps and competitor comparison • Priority actions to improve AI visibility

AI Visibility & Discovery

For ecommerce leaders who need to understand how AI systems currently see, interpret, and recommend their brand and products. Outcomes: • AI visibility baseline across key AI systems • Brand and product representation map • Eligibility gaps and competitor comparison • Priority actions to improve AI visibility

Trust, Risk and Claims Integrity

For brands whose claims influence whether AI systems confidently recommend them or quietly exclude them from results. Outcomes: • Trust and risk assessment across key sources • Claims accuracy and consistency review • Misinformation and reputation risk map • Clear trust signals to strengthen AI confidence

Trust, Risk and Claims Integrity

For brands whose claims influence whether AI systems confidently recommend them or quietly exclude them from results. Outcomes: • Trust and risk assessment across key sources • Claims accuracy and consistency review • Misinformation and reputation risk map • Clear trust signals to strengthen AI confidence

Trust, Risk and Claims Integrity

For brands whose claims influence whether AI systems confidently recommend them or quietly exclude them from results. Outcomes: • Trust and risk assessment across key sources • Claims accuracy and consistency review • Misinformation and reputation risk map • Clear trust signals to strengthen AI confidence

Commerce & Transaction Readiness

For teams preparing for AI-assisted discovery and agent-mediated checkout. Outcomes: • AI commerce readiness assessment • Pricing, stock, and variant control review • Machine-readability check for listings Live site interoperability check • Opportunity vs risk matrix for AI commerce

Commerce & Transaction Readiness

For teams preparing for AI-assisted discovery and agent-mediated checkout. Outcomes: • AI commerce readiness assessment • Pricing, stock, and variant control review • Machine-readability check for listings Live site interoperability check • Opportunity vs risk matrix for AI commerce

Commerce & Transaction Readiness

For teams preparing for AI-assisted discovery and agent-mediated checkout. Outcomes: • AI commerce readiness assessment • Pricing, stock, and variant control review • Machine-readability check for listings Live site interoperability check • Opportunity vs risk matrix for AI commerce

Governance & Control

For EU-facing organisations that want to scale AI visibility without regulatory or reputational risk. Outcomes: • AI Commerce Control Matrix • EU AI Act and GDPR alignment mapping • Risk ownership and escalation framework • Audit-ready documentation structure • Governance and review framework

EU AI Compliance Bundle

For EU-facing organisations that want to scale AI visibility without regulatory or reputational risk. Outcomes: • AI Commerce Control Matrix • EU AI Act and GDPR alignment mapping • Risk ownership and escalation framework • Audit-ready documentation structure • Governance and review framework

Governance & Control

For EU-facing organisations that want to scale AI visibility without regulatory or reputational risk. Outcomes: • AI Commerce Control Matrix • EU AI Act and GDPR alignment mapping • Risk ownership and escalation framework • Audit-ready documentation structure • Governance and review framework

Ready for AI-mediated commerce?

Other Ways to Work with Lex Agentica

For organisations that need shared understanding, internal alignment, and leadership confidence around AI-mediated and agentic commerce.

How We Work Together

How We Work Together

A clear engagement structure designed for early alignment and efficient collaboration.

A clear engagement structure designed for early alignment and efficient collaboration.

1

Intro Call

A short conversation to understand your business context, priorities, and concerns. I explain how Lex Agentica can support you and where it may not be the right fit.

1

Intro Call

A short conversation to understand your business context, priorities, and concerns. I explain how Lex Agentica can support you and where it may not be the right fit.

1

Intro Call

A short conversation to understand your business context, priorities, and concerns. I explain how Lex Agentica can support you and where it may not be the right fit.

2

Proposal and Scope

Based on the discussion, you receive a proposal covering the relevant services, scope, and priorities.

2

Proposal and Scope

Based on the discussion, you receive a proposal covering the relevant services, scope, and priorities.

2

Proposal and Scope

Based on the discussion, you receive a proposal covering the relevant services, scope, and priorities.

3

Alignment and Assessment Phase

Once approved, we align on AI systems in scope, responsibilities, inputs, and timelines before work begins.

3

Alignment and Assessment Phase

Once approved, we align on AI systems in scope, responsibilities, inputs, and timelines before work begins.

3

Alignment and Assessment Phase

Once approved, we align on AI systems in scope, responsibilities, inputs, and timelines before work begins.

Questions Leaders Usually Ask

Clear answers to the practical questions that come up before organisations commit.

Can you guarantee AI recommendations?

AI systems are non-deterministic, so placement cannot be guaranteed. This work focuses on removing the obstacles that prevent AI systems from confidently recommending your products: unclear data, weak trust signals, inconsistent claims and missing structure. By doing so, brands improve their eligibility for AI-driven recommendations, strengthen content quality in line with Google’s E-E-A-T principles, and prepare their catalogue for agentic commerce and AI-mediated shopping.

What results should I expect?

You should expect reduced risk and clearer control over how your brand and products are interpreted by AI systems. This work helps establish AI governance foundations, align customer-facing content with EU regulatory expectations, and reduce exposure to misrepresentation, non-compliant claims or future enforcement risk.

How do you measure AI visibility?

We use an AI Visibility Scorecard that combines multiple signals rather than a single metric. This includes established tools, proprietary AI discovery crawls, and manual testing of how large language models interpret and summarise products across different queries.

Which AI platforms do you analyse?

Depending on your use case, we test across platforms such as ChatGPT, Google AI Shopping, Perplexity and related AI-assisted discovery environments. Platform coverage is adapted to your category, market and catalogue structure.

Who is this not for?

This is not a fit for teams looking for quick hacks, guaranteed placements, or full engineering or legal execution. It is designed for brands that want clarity, prioritisation and informed decision-making around AI-driven commerce. It is also not designed for organisations seeking vendor selection or tool procurement advice.

What about regulated products?

We regularly work with brands in regulated or sensitive categories. The focus is on accuracy, transparency and risk-aware visibility. If certain products or claims cannot be safely surfaced by AI systems, this is clearly documented and reflected in the recommendations.

Do you offer legal advice?

No. This work is advisory and strategic. We support governance-by-design and content clarity aligned with EU frameworks, but legal interpretation remains with your legal or compliance teams. Collaboration is encouraged.

Can you guarantee AI recommendations?

AI systems are non-deterministic, so placement cannot be guaranteed. This work focuses on removing the obstacles that prevent AI systems from confidently recommending your products: unclear data, weak trust signals, inconsistent claims and missing structure. By doing so, brands improve their eligibility for AI-driven recommendations, strengthen content quality in line with Google’s E-E-A-T principles, and prepare their catalogue for agentic commerce and AI-mediated shopping.

What results should I expect?

How do you measure AI visibility?

Which AI platforms do you analyse?

Who is this not for?

Who is this not for?

Who is this not for?

Can you guarantee AI recommendations?

AI systems are non-deterministic, so placement cannot be guaranteed. This work focuses on removing the obstacles that prevent AI systems from confidently recommending your products: unclear data, weak trust signals, inconsistent claims and missing structure. By doing so, brands improve their eligibility for AI-driven recommendations, strengthen content quality in line with Google’s E-E-A-T principles, and prepare their catalogue for agentic commerce and AI-mediated shopping.

What results should I expect?

How do you measure AI visibility?

Which AI platforms do you analyse?

Who is this not for?

Who is this not for?

Who is this not for?

About the Founder

About the Founder

Maria Berrio - AI-Mediated Commerce & Governance Advisor

Maria Berrio - AI Commerce & Visibility Strategist


Maria Berrio – Strategic Advisor for Agentic Commerce in Europe

Maria Berrio

Maria Berrio – Strategic Advisor for Agentic Commerce in Europe

Maria Berrio

Maria Berrio – Strategic Advisor for Agentic Commerce in Europe

Maria Berrio

I’m Maria Berrío, founder of Lex Agentica. I bring more than two decades of experience in marketing and business development, combined with formal training in AI ethics and audit. Based in Munich, I work with ecommerce organisations navigating the shift to agentic commerce. What makes this approach different: I combine technical understanding of AI visibility with business strategy and EU governance expertise. I'm an operator who understands retail, marketing, sales, and risk from a practitioner perspective. EU regulations increasingly function as competitive trust signals when approached strategically. I believe preparation today creates opportunity tomorrow. I work with companies ready for honest assessment and evidence-based guidance.

I'm Maria, founder of Lex Agentica. I bring 25 years of marketing and business development experience and Oxford AI Ethics certification. Based in Munich, I help European e-commerce companies navigate agentic commerce strategically. What makes this approach different: I combine technical understanding of AI visibility with business strategy and EU governance expertise. I'm an operator who understands retail, marketing, sales, and risk from a practitioner perspective.

I'm Maria, founder of Lex Agentica. I bring 25 years of marketing and business development experience and Oxford AI Ethics certification. Based in Munich, I help European e-commerce companies navigate agentic commerce strategically. What makes this approach different: I combine technical understanding of AI visibility with business strategy and EU governance expertise. I'm an operator who understands retail, marketing, sales, and risk from a practitioner perspective.

AI Ethics & Audit Certified

20+ Years Marketing Experience

Ecommerce & AI Visibility Specialist

AI Ethics & Audit Certified

20+ Years Marketing Experience

Ecommerce & AI Visibility Specialist

AI Ethics & Audit Certified

20+ Years Marketing Experience

Ecommerce & AI Visibility Specialist