AI for B2B Commerce
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.
Talk to us about AI →The shift in numbers
The numbers that change everything
Average agentic commerce readiness: 3-4 out of 10 — Chain Store Age. B2B is 2-3 years behind B2C in digital adoption. AI is compressing that gap to months. The first movers in GEO will have a durable advantage — like Tripadvisor dominated hotel results for over a decade.
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.
Read our comprehensive GEO guide →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.
In an agentic ecosystem, product data is brand equity. Empty metafields, marketing fluff, inconsistent variants, and "request a quote" walls make you invisible to AI agents. Structured specs, JSON-LD schema, complete metafields, and real-time APIs make agents cite you, recommend you, and transact with you.
Agentic Commerce Readiness
Google's Universal Commerce Protocol (UCP) introduces 60+ new product attributes in Merchant Center. Shopify's Agentic Storefronts are live in ChatGPT, Gemini, and Copilot. Alibaba's Accio Work deploys enterprise-grade B2B agent fleets with 10M+ monthly users. AI agents are not just completing purchases — procurement agents are starting to negotiate with supplier agents (A2A commerce).
Contractual terms, pricing, and availability must be real-time and machine-readable. We structure your product feeds, schema markup, and catalog data so your products exist in every 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.
How we implement AI for B2B
Every AI engagement follows the same operator-tested process. We don't start with tools — we start with your data and your buyers.
- 01 Data & catalog audit We map your product data across every system — ERP, PIM, Shopify, spreadsheets. We identify gaps in attributes, inconsistencies between systems, and content that's human-readable but machine-invisible. This audit determines what AI can work with today and what needs structuring first.
- 02 GEO & visibility baseline We measure where you appear today in ChatGPT, Gemini, Perplexity, and Google AI Overviews for your target queries. This baseline tells us exactly where AI engines can find you, where they can't, and what competitors show up instead.
- 03 Implementation & enrichment We deploy AI-powered enrichment inside your Akeneo PIM, structure schema markup for machine discovery, optimize content for AI extraction, and configure IndexNow for real-time crawl notification. On a recent enterprise implementation, this phase reduced time-to-market by 40%.
- 04 Agentic commerce readiness We prepare your catalog for AI agent purchasing — structured product feeds compatible with Google's Universal Commerce Protocol (UCP), Shopify Agentic Storefronts, and Microsoft Copilot. If you run a hybrid B2B/D2C store on Shopify Plus, your D2C catalog gets automatic visibility in ChatGPT, Gemini, and Copilot today.
- 05 Monitoring & optimization AI visibility is not set-and-forget. We track citations across AI platforms, monitor ranking changes in generative answers, and continuously optimize content structure and schema markup. Monthly reporting shows exactly which AI engines cite your brand and for which queries.
GEO vs SEO: what's different
Traditional SEO gets you ranked in search results. Generative Engine Optimization (GEO) gets you cited in AI-generated answers. Both matter — but they require different approaches.
| SEO | GEO | |
|---|---|---|
| Goal | Rank on search results pages | Get cited in AI-generated answers |
| Engines | Google, Bing | ChatGPT, Gemini, Perplexity, AI Overviews, Copilot |
| Content format | Long-form, keyword-optimized | Structured, extractable, answerable chunks |
| Data structure | Title tags, meta descriptions, headers | Schema.org JSON-LD, FAQ schema, entity markup, llms.txt |
| Authority signal | Backlinks, domain authority | Entity consistency, original data, third-party citations |
| Measurement | Rankings, traffic, CTR | AI citations, brand mentions, AI referral traffic |
| Timeline | 3-6 months for results | 2-4 weeks for initial citations |
We implement both. SEO drives organic traffic. GEO drives AI citations. For B2B manufacturers and distributors, the combination ensures your products are discoverable by both human buyers searching Google and AI agents evaluating suppliers.
March 2026 Update
Shopify Agentic Storefronts are live
On March 24, 2026, Shopify launched Agentic Storefronts — millions of merchants can now sell directly inside ChatGPT, Gemini, and Copilot. Products show up when a buyer asks an AI assistant what to buy, and checkout completes through the merchant's own store.
The B2B catch: Agentic Storefronts support D2C sales only. B2B-only catalogs are excluded. But hybrid B2B/D2C stores on Shopify Plus get automatic AI visibility through their consumer catalog — while B2B pricing stays private. This is exactly the architecture we build for our clients.
Shopify has a 6-12 month execution lead over Adobe Commerce and SAP Commerce Cloud. For distributors evaluating platforms right now, this gap determines whether your products show up in AI shopping conversations this year — or sometime in 2027.
Full analysis: What Agentic Storefronts mean for B2B distributors →AI results from real projects
Source: B2B eCommerce Benchmarks — original implementation data from 50+ projects.
Why us for AI
Most agencies discovered AI in 2023. Our founder has been writing about AI in eCommerce since 2018 — publishing on Forbes, sharing industry insights and analysis, 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 Plus 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.
Talk to us about AI →Proof
AI in action
GOODYEAR
AI Product Enrichment
Enterprise Akeneo PIM with AI-powered catalog enrichment — product descriptions, attribute completion, and data quality at scale for thousands of tire SKUs across North America.
HUSKY BOUTIQUE
Automated B2B Operations
40+ API endpoints, automated order routing to ServiceCentre ERP, split invoicing, and self-service B2B portals — replacing manual email-based processes with automated workflows.
LUMEN
Data-Driven Adoption
KPI frameworks and analytics infrastructure that drove 4 consecutive years of double-digit growth — translating data into actionable growth strategies for Quebec's largest electrical distributor.