What CPG brands need to know about AI-driven discovery

Search is changing faster than most brands realize. Google is no longer the only front door to your brand. AI assistants, voice queries, and LLM-powered search tools now surface product recommendations, brand comparisons, and buying guidance, often without sending anyone to your website at all. For CPG brands on Shopify, this shift has direct consequences for how you show up, how you get discovered, and how you build trust with buyers you may never meet in a traditional click-through.

On May 27, Barrel hosted a live webinar with partners from Shopify and Good Protein to dig into what this actually means in practice. Below are the most actionable takeaways from that conversation.

Key Takeaways

01  |  AI is the new personal shopper

When someone asks an AI assistant for a protein powder recommendation, it does not return ten blue links. It synthesizes everything it knows about your brand and offers a verdict. That verdict is shaped by your product descriptions, your reviews, your FAQ content, your press mentions, and your third-party retailer listings. Brands that have invested in rich, consistent content across these surfaces are already winning. Brands that have not are being left out of the answer entirely.

02  |  Your off-site footprint matters as much as your website

AI models do not just read your Shopify storefront. They read everything. That means your Amazon listings, your Instacart descriptions, your DTC site, your press coverage, and your social profiles all feed the same model. If your product description says one thing on your site and something different on a third-party retailer, the AI notices the inconsistency and it affects how confidently it recommends you. Consistency across every surface is no longer a nice-to-have; it is table stakes for AI discovery.

03  |  Your FAQ page is a prompt library

One of the highest-leverage content investments you can make right now is a well-structured FAQ page. Not the generic "when does my order ship" kind, but a FAQ that mirrors the exact questions your customers are typing into AI search: How does this product compare to competitors? Is this safe for someone with X dietary restriction? What makes this brand different? When you write answers to these questions clearly and directly on your own site, you give AI models source material that is authoritative, brand-controlled, and highly likely to be surfaced.

04  |  CX data is an untapped content asset

Good Protein moved their CX function under ecommerce leadership, and the results have been instructive. Every support ticket, every product question, every repeat complaint is a signal about what customers are confused about or curious about. That confusion is exactly what AI assistants are asked to resolve. Mining your CX data to identify the top 20 questions your customers ask and then writing clear, thorough answers on your site is one of the most practical GEO moves available to any brand right now.

05  |  Structured data and schema markup are no longer optional

Schema markup is the technical layer that tells AI models and search engines what your content is, not just what it says. Product schema, FAQ schema, review schema, and organization schema all help AI systems categorize and cite your content accurately. On Shopify, implementing these correctly requires intentional development work, but the return is durable. Structured data is one of the clearest signals you can send that your content is trustworthy and citable.

06  |  Write for real people, then optimize for machines

The old SEO playbook was about keywords. The new one is about authority. AI models evaluate whether your content is genuinely useful, specific, and trustworthy, not whether it repeats a phrase a certain number of times. The brands showing up in AI-driven recommendations are the ones writing content that actually helps someone make a decision. Clear ingredient explanations. Honest comparison guides. Specific use-case content. That is what gets cited.

A blogger in Nebraska with no following wrote a single post comparing protein powders. That post gets cited constantly by AI assistants now because it is specific, honest, and thorough. Your brand needs to own that kind of content before someone else does it for you.
Lucas Ballasy, CEO, Barrel

More from the session

The market leader problem

If you are the category leader, AI will recommend you by default. If you are not, you need a reason to be cited instead. That reason is almost always content quality and specificity. Challenger brands that publish detailed comparison guides, transparent ingredient sourcing stories, and thorough product education are outperforming better-known competitors in AI-driven recommendations. The playing field is more level than it looks.

This is where SEO was 20 years ago

Brands that invested early in SEO built traffic advantages that compounded for years. GEO is in the same early window right now. The brands making these content investments in 2025 and 2026 are building citation authority that will be very difficult for late movers to displace. The cost of entry is relatively low. The cost of waiting is not.

The inconsistency problem no one talks about

Most brands have more content inconsistency than they realize. The product description on their DTC site says something different from the Amazon listing. The FAQ gives a different answer than the blog post from two years ago. AI models synthesize across all of this and when they encounter contradictions, they either hedge their recommendation or exclude the brand from the answer. A content audit focused specifically on consistency is often the highest-ROI first step.

Reviews are content, not just social proof

AI models read your reviews. Thoroughly. When a customer writes "I switched from X brand because this one dissolves better and does not have that chalky aftertaste," that sentence becomes part of how AI describes your product. Brands that actively respond to reviews, encourage specific feedback, and surface review content prominently on their product pages are giving AI models better raw material to work with. Your review strategy is now part of your discovery strategy.

If a competitor publishes a comparison guide that positions your brand unfavorably, and AI models start citing it, you cannot ask the AI to stop. You can only create better content that earns more citations. The brands winning this game are playing offense.
Lucas Ballasy, CEO, Barrel

Watch the Full Session

The 45-minute recording goes deeper on each of these topics. In the full session you will find:

  • The specific Shopify technical changes that affect AI discoverability, with implementation guidance
  • How Good Protein restructured their content and CX operations to improve AI-driven visibility
  • Live examples of AI search results for CPG brands and what separates the ones being cited from the ones that are not
  • A framework for auditing your existing content for AI-readiness
  • Q and A with specific scenarios from brands in the audience
  • Recommended next steps based on your current Shopify setup and traffic volume

The recording is available on demand at barrelny.com/services/generative-engine-optimization. Access is free.

AI-Readiness Checklist

Use this to assess where your brand stands today:

  • Product descriptions are consistent across your DTC site and all third-party retailers
  • FAQ page addresses the questions buyers actually ask before purchasing
  • Schema markup is implemented correctly for products, reviews, and FAQs
  • Review collection encourages specific, detailed feedback rather than just star ratings
  • You have published at least one detailed comparison guide or buying guide
  • CX ticket topics are being used to inform content creation
  • Brand story and ingredient sourcing content is thorough and current
  • Content across your site has been audited for factual consistency in the past 12 months

Work with Barrel

Barrel builds and optimizes Shopify storefronts for CPG brands. Our work spans design, development, SEO, and now GEO, helping brands like yours show up in the places buyers are increasingly looking.

If you want to talk through what AI-driven discovery means for your specific brand and Shopify setup, reach out at barrelny.com/contact.

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