Akeneo

01/06/2026

On June 11th, we're hosting a masterclass for Akeneo Solution and Technology Partners on Digital Showroom. Two hours focused on how to turn product data into real sales experiences that move deals forward. Live demo flow, real use cases, and positioning you can take straight into your next customer conversation. The session is led by Mégane Le Palud and Alan Blayo, the product managers who built Akeneo's Digital Showroom.

Not a polished sales pitch, this kind of session is where you leave knowing exactly what to do next.

Akeneo partners can register via this link: https://bit.ly/4dVFnl5

28/05/2026

Here's something worth sitting with for a moment.

When a shopper asks ChatGPT or Gemini for a product recommendation, and your product doesn't appear, it's not because you ranked low. It's because the AI didn't have enough reliable, structured information about your product to include it in the answer at all.

That's called a "data void." And it's happening silently to thousands of products across thousands of brands that haven't yet made the connection between their product data quality and their AI discoverability.

Our partner, Synolia, put together one of the most practical explanations of what this means for product data strategy. If you're responsible for product information, ecommerce, or digital marketing, it's genuinely worth a read.

Full blog here 👇

Akeneo partner Synolia explores why structured, enriched product data is now the key to becoming the answer generative engines recommend.

27/05/2026

Here's a question for anyone managing product information: How confident are you that the allergen data on your products is accurate, right now, across every channel it appears on?

For most teams, the honest answer involves some version of "we think so" or "it was correct last time we checked." And in an industry where that information is both legally required and directly tied to customer safety, "we think so" isn't good enough.

Our customer, Henderson Food Service, manages thousands of products, navigates complex supplier relationships, and stays on top of evolving food regulations while running on unconnected spreadsheets and manual processes.

Their Product Data Quality Manager sat down to walk through what that breaking point looked like, how they rebuilt around a single source of truth, and what centralized product data has made possible across the business.

It's one of the most grounded, practical customer stories we've shared in a while, no buzzwords, just a real team solving a real problem.

Watch the full session here 👇
https://www.youtube.com/watch?v=pxf6Zgvsiwk

25/05/2026

Something interesting is happening in eCommerce right now, and most brands are watching their analytics without fully understanding why the numbers look the way they do.

Organic traffic is down. But conversion rates from AI-driven sources are way up.
Here's what's going on: AI Overviews are answering questions before users click anything. But when shoppers do arrive from an LLM like ChatGPT or Gemini, they're arriving with intent. They've already had a conversation, they've already been given a recommendation, and they're ready to act. Data shows those visitors convert at 4.4 times the rate of a traditional Google visitor.

The implication is uncomfortable for anyone who's spent years optimising for Google: the old rules like keyword density, backlinks, and page rankings are being replaced by something different. AI systems don't rank you. They decide whether your product data is trustworthy and complete enough to recommend.
That's what GEO (Generative Engine Optimisation) is really about. Not gaming a new algorithm, but making sure your product information speaks the language of the machines now mediating discovery.

We broke it all down... where the traffic shifts are happening, why they're happening, and what to actually do about it 👇

Discover how AI-powered search, LLMs, and instant checkout are rewriting the rules of discovery, and how to stay visible when clicks give way to conversations.

22/05/2026

There's a term you're going to be hearing a lot more of in the next 12 months: GEO. Generative Engine Optimization. It's what SEO becomes when AI agents are the ones deciding which products get surfaced, considered, and bought.

And unlike SEO, where you had time to figure out the rules as they emerged, the infrastructure for agentic commerce is being built right now. Two protocols, ACP (OpenAI + Stripe) and UCP (Google + Shopify), are already shaping how AI agents discover and transact with your catalog. Whether your products show up in that world isn't a future decision. It's determined by the quality and structure of your product data today.

On May 27, Akeneo co-founder and CTO Benoit Jacquemont is walking through all of it in plain language: what agentic commerce actually is, where the protocol war stands, and what "AI-ready product data" means in practice.

If your team is trying to get ahead of this, or even just understand it properly, it's a genuinely useful hour.

Register here:
https://pages.akeneo.com/Agentic-Commerce-Protocols-_01-Webinar-LP---Registration.html

21/05/2026

Quick question for anyone in ecommerce right now:

When people talk about "AI-ready data," do you actually know what that means for your product catalog? Or does it just sound like something you're supposed to have figured out already?

Because based on the conversations we're having, a lot of teams are in the same boat. Great AI ambitions. Product data that wasn't built for any of this.

That's exactly what we're talking about at Emerce E-commerce Live on May 28 in Amsterdam on Stage 2 at 12:00 PM. No jargon spiral, just an honest look at what it takes to make AI commerce actually work.

We'll also be at our stand all day if you want to talk through what this looks like for your specific setup.

Come find us at Beurs van Berlage. 👋
Book a spot with the team here →

Akeneo is proud to return to NRF 2026 as a Bronze Sponsor, showcasing the World’s First Intelligent Product Cloud. Stop by Booth #5463 to discover how Akeneo helps brands turn product data into profit, empowering IT, marketing, and commerce teams to work together on a single AI-ready foundation.

20/05/2026

Here's a question worth bringing to your next cross-functional meeting:
Who in your organization is responsible for how AI finds your products?
Not Google. Not your paid ads. Specifically, when an AI shopping agent is deciding which products to surface for a customer, who owns whether yours make the cut?

If the honest answer is "we haven't figured that out yet," you're not alone. Most teams are still operating in silos that made sense before AI rewrote the rules of discovery. E-commerce owns one piece. SEO owns another. Content another. IT another. None of them are wrong. But fragmented data is the silent killer of AI discoverability.

We talked through exactly this at Unlock Digital 2026. What's breaking, why it's happening, and what the path forward actually looks like. It's one of the clearest explanations of this problem, and worth a watch.

Watch the full keynote here 👇

Join Virginie Blot, Principal Product Marketing, for a first look at the newest additions coming to Akeneo. This session will highlight key enhancements and ...

18/05/2026

AI shopping is no longer a concept. Its infrastructure. And two major standards are being laid right now that will determine which brands show up and which ones don't.

ACP, built by OpenAI and Stripe, handles the purchase moment inside AI assistants like ChatGPT. UCP, developed by Google and Shopify alongside Walmart, Target, and 20+ partners, takes a wider approach covering everything from product discovery through to returns.

The part that doesn't get talked about enough: both protocols are only as good as the product data behind them. An AI agent using UCP or ACP to shop on someone's behalf is reading your catalog, checking your attributes, and deciding in milliseconds whether your product is the right match. If that data is incomplete, inconsistent, or poorly structured, the agent moves on regardless of which protocol your platform supports.

We put together a full breakdown of what ACP and UCP actually are, how they differ, and what brands need to do to be ready for both.

Read it here: https://www.akeneo.com/blog/acp-vs-ucp-agentic-commerce/

Consumers are already turning to AI to discover and evaluate products, and the next evolution of commerce is quickly approaching: autonomous purchasing powered by intelligent agents. That’s why we’re breaking down the two emerging standards at the center of agentic commerce, explaining how they ...

15/05/2026

Master AI-driven search & rule the marketplaces. Here is your blueprint. ⚡️

Join our upcoming Customer Masterclass: Omnichannel Mastery with Akeneo Activation and learn how to scale from a single source of truth to a multi-channel powerhouse, without the manual headaches.

📆 May 19th
⏰ 9:00am EST | 3:00pm CET

🔹 Syndicate high-quality product data across marketplaces like Amazon, Walmart, and beyond
🔹 Build a scalable, “zero-leak” activation architecture
🔹 Strengthen your brand’s authority in the age of AI-driven search (GEO)
🔹 Unlock richer, more immersive product experiences across every channel

Featuring insights from Kris Marquis (Engineering Manager) and Jordy Brandenburg (Partner Enablement Consultant)—bringing both the technical depth and strategic perspective you need to win.

If you’re looking to move beyond basic distribution and drive real digital dominance, this one’s for you.

Save your spot now 👉 https://pages.akeneo.com/Activation---Customer_01-Webinar-LP---Registration.html

13/05/2026

Remember when SEO was the answer to everything in eCommerce?

Get the keywords right, show up in search, convert the click. The formula worked until AI started changing where discovery happens and who's doing the discovering.

When an AI agent is shopping on a customer's behalf, it isn't typing into a search bar. It's reading data, evaluating structured information, and making decisions in seconds. The playbook that got brands here isn't the one that gets them to what's next.

At Unlock Digital 2026, we laid out what we're calling the Great Restack. The case for why commerce teams need to rethink their systems, data, and team structures for an AI-first world.

It's a 30-minute watch and genuinely one of the more honest conversations we've had about where this is all heading.

Watch here: https://www.youtube.com/watch?v=1i-9nzhAnVY