Not chatbots. Infrastructure.

AI is reshaping how B2B buyers find, evaluate, and purchase products. We help manufacturers and distributors build the data infrastructure, automation, and commerce readiness that makes AI work for their business — not against it.

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What is AI-powered B2B commerce?

AI-powered B2B commerce is the practice of using artificial intelligence to structure product data for machine discovery, automate operational workflows, and prepare commerce infrastructure for a world where AI agents — not just human buyers — evaluate and purchase products on behalf of procurement teams. For manufacturers and distributors, this means ensuring your catalog, content, and systems are optimized for both traditional search engines and the emerging generation of AI purchasing agents.

How we use AI for B2B

We don't sell AI as a product. We apply it where it creates measurable leverage for B2B operations.

Generative Engine Optimization

Structure your product data, website content, and technical infrastructure so AI engines — ChatGPT, Google AI Overviews, Perplexity, Gemini — surface your products in their generated answers. The companies that own this today own the next decade of B2B discovery.

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Product Data Enrichment

Deploy AI within Akeneo PIM to generate product descriptions, fill attribute gaps, and improve data quality at scale. On a recent enterprise implementation, AI-powered enrichment reduced time-to-market by 40%. Human review gates maintain accuracy.

Agentic Commerce Readiness

Google's Universal Commerce Protocol (UCP), ChatGPT Instant Checkout, Microsoft Copilot Checkout — AI agents are already completing purchases. We structure your product feeds, schema markup, and catalog data so your products exist in the agentic commerce layer.

Lifecycle Automation

Klaviyo flows triggered by real purchasing behavior — reorder reminders timed to each customer's buying cycle, win-back sequences for dormant accounts, post-purchase engagement. CRM-driven retention with HubSpot churn detection and lifecycle segmentation.

AI-Native Development

We build with AI-native development tools daily — agentic coding with Claude for faster delivery without sacrificing architecture quality. This means lower project costs and faster time-to-launch for our clients. The technology is the multiplier, not the shortcut.

Why us for AI

Most agencies discovered AI in 2023. Our founder has been writing about AI in eCommerce since 2018 — publishing on Forbes, deploying it in production at manufacturers and distributors, and implementing AI-powered enrichment at enterprise scale.

We don't sell AI workshops or strategy decks. We implement it — inside Akeneo for product enrichment, inside Klaviyo for lifecycle automation, inside Shopify for intelligent pricing logic, and across your catalog for Generative Engine Optimization. Every AI capability we offer is something we've built and shipped for real B2B operations.

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Frequently asked questions

How does AI apply to B2B eCommerce specifically?
B2B AI is different from B2C. It is not about chatbots or product recommendations. It is about structuring product data so AI purchasing agents can find you, automating operational workflows that your team currently handles manually, and preparing your catalog for agentic commerce — where AI agents complete purchases on behalf of buyers without visiting your website.
What is agentic commerce?
Agentic commerce is the emerging model where AI agents — Google Shopping via UCP, ChatGPT with Instant Checkout, Microsoft Copilot Checkout — research, evaluate, and purchase products on behalf of buyers. For B2B, this means procurement teams will increasingly use AI agents to shortlist suppliers, compare specifications, and place orders. If your product data is not structured for machine-readable discovery, you are invisible to these agents.
What is the difference between GEO and SEO?
SEO optimizes for search engine ranking positions. GEO (Generative Engine Optimization) optimizes for AI-generated answers — ensuring your products and company are cited when ChatGPT, Perplexity, Google AI Overviews, or Gemini generate responses to buyer queries. GEO requires structured data, entity authority, and machine-readable product attributes that traditional SEO does not address.
Do you replace our existing marketing tools with AI?
No. We integrate AI into your existing stack — Klaviyo for automated lifecycle flows, Akeneo for AI-powered product enrichment, Shopify Functions for intelligent pricing logic. We evaluate every AI tool against your current systems and only add what moves the needle. The goal is automation that reduces manual work, not more tools to manage.
How do you use AI in your own development process?
We build with AI-native development tools daily — using agentic coding with Claude to deliver implementations at a pace that traditional agencies cannot match. This is not about cutting corners. It is about spending engineering time on architecture and business logic instead of boilerplate, resulting in faster delivery and lower project costs for our clients.