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Implementation after the audit

We make your shop agent-readable.

Structured product data, schema, llms.txt and an agent endpoint, built cleanly into your existing stack. So AI agents understand your offering, trust it, and can prepare actions.

Why now

Your site is built for humans

Most websites and shops are optimized for human eyes. AI agents don't see the design, they look for structure: product data, prices, availability, clear actions. Without that layer, your offering simply doesn't show up in agentic recommendations.

Building blocks

What we build

Structured product data

Your products, variants, prices and availability prepared in machine-readable form.

Schema.org / JSON-LD

Clean Product, Offer and Organization markup so agents and search engines place your offering unambiguously.

llms.txt

A curated agent map of your site, fed from your sources instead of hand-maintained.

MCP/UCP endpoint

An agent endpoint where agents can query your offering in a structured way and prepare actions.

Markdown endpoints

Agent-friendly representations of your content, easy to fetch for agents without rendering.

Test and verification

We verify with real agent tasks that the layer works, and hand over a measurable state.

How it works

In clear phases to the agentic layer

  1. 01

    Audit

    We measure the current state and prioritize the levers.

  2. 02

    Setup and data structure

    We prepare product data and sources in machine-readable form.

  3. 03

    Layer build

    Schema, llms.txt and the agent endpoint are built into your stack.

  4. 04

    Test and handover

    Verification with real agent tasks, then a clean handover.

  5. 05

    Optional monitoring

    On request we keep the achieved state over time.

Our approach

Hand-built into your real stack

We build the agentic layer directly into your system, fed from your sources and fitted to your architecture. That creates a solid foundation that grows with your product, rather than a generic add-on layer beside the site.

Next step

Let's take 20 minutes to look at it.

In a short call we clarify how agent-ready your shop is today and what an implementation looks like for you.