Agentic Commerce Readiness for the EU

The future of commerce
is agentic.

Is your brand ready for what comes next?

Lex Agentica works with e-commerce brands to strengthen AI visibility, product data integrity, governance, and compliance — so you are prepared when AI agents buy, negotiate, and transact on behalf of your customers.

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Our Approach

An interconnected readiness system

We work with brands at the early stages of the agentic transition and we use our methodology and approach grounded in our own research. Our focus is on four areas that determine whether your brand can be included, trusted, and able to transact in AI-driven environments, with governance and compliance embedded from the start.

The four areas we work across:

01

Visibility

Can AI systems discover and recommend your products?

AI systems do not browse your website. They read signals — structured data, brand mentions, third-party sources. If those signals are weak or inconsistent, your products are excluded from recommendations before a customer asks.

02

Data Integrity and Trust

Is your product information clear, consistent, and reliable?

AI systems cross-reference your claims against external sources. If your product data conflicts across your site, retailer listings, or reviews — confidence in your brand drops, and so does your visibility.

03

Capability

Can AI systems complete a transaction with you?

Visibility and trust get you recommended. Capability determines whether that recommendation becomes a transaction. If your systems cannot support AI-assisted selection and checkout, you are present but not sellable.

04

Governance

Can you scale this safely in the EU environment?

As AI visibility increases, so does regulatory and reputational exposure. Early alignment with EU AI Act, GDPR, and DMA requirements means growth strengthens your position rather than creating risk you manage later.

"Visibility without governance is exposure. We build both — as a connected system, not four separate workstreams."

Lex Agentica AI Visibility Research

Independent research into how AI systems recommend products

This research was conducted using a multi-model testing protocol that analyses recommendation behaviour across platforms, prompts, and contexts. Based on these findings, we developed our methodology to assess AI visibility for brands and products. Here are some of what we find.

Platform Divergence
80%

Difference between English and German recommendations on the same platform

Each language market is a separate AI visibility problem. Optimising for German-language queries does not protect visibility in French, Dutch, or English — even for the same product, on the same platform.

Quality Index
Present.
Warned against.

High presence does not mean positive framing

One brand appeared across multiple platforms with over 80% coverage. On one platform, the AI was citing safety concerns and recommending alternatives. Presence and recommendation are not the same thing.

User Context
€1,185

Average price difference — same user, same query, two sessions

Zero product overlap between a logged-in and an incognito session. One session was shown premium options. The other was steered towards budget alternatives. The prompt did not change. The session context did.

Read the full research findings
Services

Four layers of readiness

Visibility gets you into the conversation. Trust and data integrity keep you there. Governance ensures you remain compliant as the regulatory landscape accelerates. Engagements can begin with one layer or run across all four as an integrated programme.

AI Visibility and Discovery

How do AI systems currently see, interpret, and recommend your brand?

We test across ChatGPT, Perplexity, Google AI Shopping, Gemini, and Google AI Overviews — across multiple query types, user contexts, and language variants. You receive a scored baseline and a prioritised gap analysis.

2–3 weeks

Data Integrity and Trust

Are your product claims consistent across every source AI systems read?

We audit product descriptions, claims, certifications, and pricing across your own site, retailer listings, and the external sources AI systems use to verify you. Inconsistencies between sources cause hedged or cautionary AI framing.

2–3 weeks

Commerce and Transaction Readiness

Can AI agents correctly read your catalogue and complete a transaction?

We test whether pricing, stock, variants, shipping, and return policies are machine-readable in real time. If an agent cannot reliably read your inventory, it cannot transact on your customer's behalf — regardless of your products.

3–4 weeks

Governance and Control

Are you operating safely under EU AI Act, GDPR, and DMA?

EU regulations are not a constraint — for organisations that get this right early, they are a competitive signal. We assess your position, build documentation your compliance team can use, and embed governance from the start.

4–6 weeks

Strategic Assessment — all four layers

A complete picture of your agentic commerce readiness. All four pillars delivered as a single integrated engagement, with findings connected across visibility, trust, capability, and governance.

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Workshops & Speaking

Other Ways to Work with Lex Agentica

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

◈

Executive Workshops

Focused briefings for executive teams to build a shared understanding of how AI-mediated commerce is changing visibility, risk, and decision-making.

◈

Company Training

Targeted training for ecommerce, marketing, and product teams to align day-to-day decisions with how AI systems interpret products, claims, and signals.

◈

Speaking & Keynotes

Keynotes and panel contributions on agentic commerce, AI visibility, and European governance, grounded in practical implications and recommendations.

How We Work Together

A clear structure, no surprises

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.

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.

Maria Berrio - Founder, Lex Agentica
About the Founder

Maria Berrio

I founded Lex Agentica because most AI commerce advice is either too technical, too vague, or built for the US market. The EU regulatory environment is different. The consumer context is different. And the actual behaviour of AI platforms in EU product categories is different in ways that standard marketing guidance does not capture.

I bring 25 years inside real commercial pressure — marketing, business development, e-commerce — combined with AI Ethics education from Oxford, and AI, AI Ethicist and AI Auditor certifications from Oxethica, alongside my own systematic testing across EU product categories and AI platforms.

Based in Munich. Working with e-commerce organisations across the EU market.

AI Ethics & Audit Certified (CAIA/CAIE/CAIP) Oxford AI Ethics (educated) Oxethica AI & AI Auditor certified 25+ years marketing & e-commerce Based in Munich
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Questions

Frequently Asked Questions

What is Lex Agentica?

Lex Agentica is an independent strategic advisory focused on AI-driven commerce in the EU. The work is led by Maria Berrio, combining commercial strategy, infrastructure literacy, and regulatory alignment. Lex Agentica operates as a specialist advisory practice. When required, we collaborate with domain experts. We define what needs to change and why. Execution remains with your internal teams or trusted partners.

What is agentic commerce?

Agentic commerce refers to purchasing journeys where AI systems do more than recommend products — they compare options, interpret specifications, and increasingly facilitate transactions on behalf of customers. In this model, your brand is evaluated by systems before it is evaluated by people. How your products are structured, described, and governed directly influences inclusion and positioning.

How do I know if this is relevant for my organisation?

You do not need to have decided anything about agentic commerce to start. The more immediate question is whether AI systems can currently find, understand, and recommend your products — and for most brands, the answer is more complicated than they expect. AI-driven discovery is already influencing purchase decisions across European markets. Brands that wait until agentic transactions are mainstream to address visibility will be starting from behind. The time to build that foundation is now, before the channel becomes competitive. If you are considering what agentic commerce would mean for your business, Lex Agentica can also work with your leadership team through a briefing or workshop to map the strategic implications before any major decisions are made.

Can services be delivered individually or as a package? What does investment look like?

Yes. Each layer can be delivered independently, or combined into a structured Strategic Assessment. Investment depends on scope, including product complexity, number of AI systems assessed, and governance depth required. Each engagement is scoped individually after an initial strategy call to ensure alignment with commercial priorities.

Which AI platforms do you analyse?

Depending on your use case, assessments typically include platforms such as ChatGPT (including browsing and Shopping), Google AI Shopping, Google AI Overviews, Perplexity, and related AI-assisted discovery environments. Platform coverage is adapted to your category, market, and catalogue structure.

Do you offer legal advice?

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

What resources are required internally?

Engagements typically require access to product data samples, feed structures, and a commercial and technical point of contact. The work integrates with existing teams rather than requiring new internal structures.

Do you work only with EU companies, and in what languages?

Lex Agentica works with organisations operating in or selling into the EU market. Assessments are delivered in English, Spanish, German, and Italian.

AI is already shaping which products get found.
Make sure yours is one of them.

A 30-minute intro call. No pitch deck — just an honest conversation about where you stand and what it would take to move forward.

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