How Agentic Commerce Could Actually Work for a Brand Like Yours

We know, this all sounds a little sci-fi.

AI shopping assistants? Instant checkout inside ChatGPT?

It’s hard to picture what that means for your business when you’re busy just keeping your e-commerce engine running.

So let’s make it real for a minute.

The Setup: Meet “Evergleam Home”

Let’s say you’re Evergleam Home, a mid-size DTC brand that sells sustainable cleaning products online. You’ve got a loyal base, solid SEO, a few retail partners, and a CRM that mostly behaves.

You start hearing about Walmart’s new agentic commerce rollout and wonder: what does that mean for me?

The Shift

Right now, customers find you through search or ads.

They land on your site, browse a bit, and maybe (hopefully) buy.

But soon, when someone types into ChatGPT:

“I want a non-toxic cleaner that actually smells good.”

The AI will pull from what it knows, brand descriptions, product data, reviews, and site performance — and decide what to recommend.

If Evergleam’s data is clean, content clear, and customer experience solid?

You’re the one it suggests.

If not? You disappear.

The GS&F Approach: What We’d Do

If we were helping Evergleam prepare for agentic commerce, here’s how we’d start:

• Audit your data.
• Every product gets clean, structured metadata (ingredients, scent, packaging type, certifications).
• Schema markup added for AI readability.
• SKU taxonomy simplified so AIs don’t get confused about duplicates.

• Rewrite for how people talk.
• Content gets rewritten for conversational intent: “What’s best for kids?” → “Our plant-based spray was made for high-chair messes.”
• Product pages add quick-answer summaries (like mini FAQs) for voice/AI use.

• Connect the experience.
• CRM and e-commerce platforms sync — so if someone orders through AI, you still own the relationship.
• Site speed, Core Web Vitals, and accessibility all improved (AIs rank trustworthy systems higher).

• Test it.
• Pilot queries in ChatGPT, Gemini, and Perplexity to see how your products surface today.
• Optimize based on what the AI “sees.”

The Hypothetical Impact

Let’s say we roll that out for 90 days. Here’s what we’d expect to track:

Key Performance Indicators

AI Query Visibility

• How often the brand surfaces in conversational AI search results
• 90-Day Target: +25%
• Organic Conversions

• Increase driven by improved findability and reduced friction.
• 90-Day Target: +10–15%
• Repeat Purchase Rate

• Growth resulting from cleaner CRM integrations and subscription cues.
• 90-Day Target: +5%
• Voice/Chat Referrals

• Traffic originating from AI or chat interfaces — a new behavior to track.
• 90-Day Target: Baseline established
• Customer Effort Score

• Customer perception of how easy it is to buy.
• 90-Day Target: +10 points

Bonus KPI: “Agentic Shelf Share” — % of times your brand appears in the top three AI recommendations for your category. (New metric, but trust us — it’s coming.)

The Takeaway

Agentic commerce isn’t about replacing your site.

It’s about making sure your brand is fluent in the new language of shopping — the one where people ask questions instead of type queries.

The brands that start preparing now won’t just keep up, they’ll be the ones the AIs recommend first.

And in the next era of e-commerce, that’s the new top shelf.