Recorded live at Shoptalk Spring 2026 by host Isaac Morey, the conversation features Amera Khalil, Director of Strategic Account Management at Commerce — the parent brand behind Feedonomics, BigCommerce, and MakeSwift. Together, they cover what brands actually need to do to stay visible as AI-powered discovery takes over consumer behavior. It's a practical, no-fluff conversation that's worth your time whether you're running a lean SMB operation or managing enterprise-level feeds.

Key Takeaways

Data quality is the foundation. Before any AI strategy works, your product feeds need accurate titles, descriptions, sizes, and attributes.
Enriched data isn't one-size-fits-all. Enrichment requirements vary by brand, category, and channel — and they need to match today's conversational search queries.
Agentic commerce is already operational. Commerce built a fully functional agentic checkout experience for PacSun on Perplexity in under 30 days.
Don't deploy AI for AI's sake. Without a clear business objective, AI implementation creates confusion rather than results.
SMBs need to act now. LLM visibility isn't exclusive to enterprise brands — smaller businesses can start preparing today.
Human oversight isn't optional. Quality assurance guardrails protect brand integrity and keep AI-generated content on point.
Have AI conversations out loud. Brands strategizing behind closed doors miss partners who may already have the solutions they need.

Episode Summary

Amera opened by describing Commerce's three-brand structure. Feedonomics handles intelligent product feed management, BigCommerce powers flexible e-commerce experiences, and MakeSwift enables agile front-end design. She described Feedonomics' core value simply: taking complex data, making it clean and structured, and distributing it intelligently across every relevant channel.

From there, Isaac asked the big question: how is AI changing e-commerce? Amera's answer was direct. The traditional marketing funnel — performance ads, tracking, attribution models — is collapsing. Consumers are now using Perplexity, ChatGPT, and Claude not just for research but for actual purchase decisions. "The biggest change in e-commerce," she noted, "is the preparation to be visible on these LLMs while maintaining the quality of your data."

She broke agentic commerce readiness into clear layers. First, brands need solid foundational data — accurate product titles, descriptions, brand names, sizing. Without that, nothing else works. On top of that, brands need enriched data that responds to how people actually search today. Nobody's typing "suitcase" anymore. They're saying something like, "I'm going on a trip, I want something light, and I tend to overpack." Product data has to meet that kind of specificity.

Interestingly, she was candid about the complexity of getting onto LLM channels: "Just because you're a brand doesn't mean that your feed is going to be accepted." Approval processes are real hurdles, and the backend requirements — syncing inventory, enabling checkout, integrating payments — go well beyond what most marketing teams expect.

The PacSun case study was the episode's standout moment. Commerce built a complete agentic checkout experience for PacSun on Perplexity in under 30 days, during the holiday season. Shoppers could find PacSun jeans, select their size, and check out via PayPal — receiving a confirmation email from PacSun directly. "This is thrilling," Amera said, "because it's changed the way that we are looking at our expectations as consumers."

On AI risks, she stressed quality assurance. Feedonomics uses internal benchmarking systems that flag AI-generated content not meeting brand standards before it goes live. She also flagged a generational nuance: Gen Z consumers can detect cold, scripted AI content, and they don't respond well to it. Adjusting content based on audience expectations isn't a nice-to-have — it's essential.

For SMBs, her advice was to start with a data audit. Centralize your assets, identify missing fields, and find a feed partner who can submit requests to LLMs on your behalf. As she put it, "even if you're small, medium, or you're the big kahunas in the industry, you have to be present and you certainly have to be visible."

Final Thoughts

In this new era, AI agents act on behalf of shoppers — searching, comparing, and even checking out across multiple channels, often without ever visiting a merchant's website. These AI-driven experiences are seamless, contextual, and increasingly the default for how consumers interact with commerce online. Amera's message throughout this episode is clear: preparation beats hesitation every time.

So here's the question worth sitting with — if your brand's data isn't ready for an agent to read it, how feed-y is your commerce strategy for what's already here?

This has been produced in cooperation with Content Cucumber
https://www.contentcucumber.com/

Chapters

00:00:00 — Introducing Amera Khalil and Commerce
00:00:22 — What Feedonomics Actually Does
00:00:46 — BigCommerce and MakeSwift Explained
00:01:09 — How AI Is Changing E-Commerce
00:01:59 — How Consumers Are Using LLMs to Shop
00:02:38 — The Rise of the Brand Agent as Consumer
00:03:13 — How Brands Can Prepare for Agentic Commerce
00:03:50 — Why Data Quality Is the Foundation
00:04:28 — What Data Enrichment Actually Means
00:05:15 — Matching Long-Tail Search Queries with Enriched Feeds
00:05:52 — AI Risks and the Humans-in-the-Loop Element
00:06:25 — Quality Assurance and Guardrails for AI Content
00:07:15 — How Brands Are Adapting — Real Customer Journeys
00:08:05 — Enterprise Brands Going Live on LLMs
00:09:33 — The PacSun Agentic Checkout Story
00:12:58 — Advice for Small and Medium-Sized Businesses
00:14:54 — Why Every Brand Needs to Be Visible on LLMs by 2028
00:15:45 — The Feedonomics Framework for Readiness
00:16:02 — Amera's Hot Take from Shoptalk
00:16:56 — Final Thoughts and What's Getting Exciting Again

Live From Shoptalk: Getting Your Brand Ready for Agentic Commerce with Amera Khalil