Is your store visible to AI? How to make it agentic-ready before your competitors do
AI-driven orders are up 15x. If you don't see that uplift in your sales, join this workshop to fix it.
Here's what you're getting
The 5-point agentic readiness audit framework — the same one we used on Absolute Collagen and Khloud Foods
$2,000 value
Playbook you or your team can execute the week after
$500 value
5 random attendees: 1:1 AI consultation on how to boost revenue in their store
$300 value each
Total value: $4,000
Your seat today: $129
That's less than what you'd spend testing a single ad creative this week. Except this one tells you why your competitors are pulling ahead in AI search — and how to overtake them before they figure out the same thing.
I want the playbookWhat you'll walk away with
The 5-point agentic readiness audit
We audited brands like Absolute Collagen, Good Girl Snacks, BURGA, and Khloud Foods (they didn't ask us to, we just couldn't help ourselves). Their AI readiness scores ranged from 36 to 72 out of 90. We'll show you exactly where they leaked money and where you probably are too.
What AI shopping agents actually see
One brand had 25,000 products and every single one was labeled “Phone Case.” They sell way more than phone cases. If your products are mislabeled or missing info, AI agents skip you like you don't exist.
Your same-day action plan
You'll leave with a checklist you can execute right away. Fix the product data that's hiding you from AI agents.
The bonus that pays for the workshop 12x over
5 attendees, drawn live at the end of the session, get a 1:1 agentic readiness audit on their store. We charge $300 for these. Winners pay nothing.
Stay till the end. Could be you.
The numbers
(because we know you were thinking “prove it”)
AI-driven orders increased 15x from January 2025 to January 2026
AI-sourced retail traffic surged 1,200% YoY
Average order value from AI channels is consistently higher than direct site traffic
The agentic commerce market: $547M in 2025, projected $5.2B by 2033
Morgan Stanley predicts nearly half of online shoppers will use AI shopping agents by 2030
You can ignore these numbers. Your competitors won't.
Speaker

Mykhailo Kushnir
Founder, DestiLabs
Built AI systems for 40+ companies. Has shipped AI chatbots, voice agents, recommendation engines, and things he can't talk about because of NDAs.
Previously: ML engineering, NLP, and too many late nights debugging why the model keeps hallucinating about furniture.
Now runs an AI automation agency from Indonesia because offices are a scam.
We audited stores with 5 to 25,000 products. Scores ranged from 9 to 72 out of 90. Nobody has hit 90 yet.
Where does yours fall?
5 free audits drawn live · Stay till the end
Can't make it live? Register anyway — recording goes out within 24 hours.
Frequently asked questions
What is an AI shopping agent?
An AI shopping agent is a tool that lives inside ChatGPT, Gemini, Perplexity, or Copilot and acts like a personal shopper. The customer describes what they want in plain language, and the agent reads product descriptions across multiple stores, compares prices, checks reviews, and returns a curated answer — sometimes with a 'Buy Now' button right in the chat. Unlike a chatbot on your site, the agent decides whether to recommend your products before the customer ever lands on your store.
How big is agentic commerce in 2026?
AI-driven orders grew 15x from January 2025 to January 2026, and AI-referred traffic to U.S. retail jumped 805% year-over-year on Black Friday 2025. The agentic commerce market is projected to grow from $547M in 2025 to $5.2B by 2033, and Morgan Stanley estimates AI shopping agents will handle $190B–$385B of U.S. e-commerce spending by 2030. ChatGPT-referred traffic already converts at 2.47% — better than paid search (1.82%) and nearly 5x social ads (0.52%).
What do AI shopping agents see when they visit my store?
We audited brands like Absolute Collagen, Good Girl Snacks, BURGA, and Khloud Foods on a 90-point readiness scale; scores ranged from 36 to 72, and nobody hit 90. The most common gaps are vague product descriptions, missing structured data markup, weak reviews, messy collections, and slow or incomplete product feeds. One brand had 25,000 products all labeled 'Phone Case' — agents saw identical labels and recommended a competitor instead.
How can e-commerce brands prepare for AI shopping agents?
Six steps, in order: (1) fix your product data so descriptions are specific, starting with your top 20% by revenue; (2) add structured data markup so agents can read price, availability, and ratings; (3) write for questions, not just keywords; (4) clean up collections and tags; (5) opt into Shopify's agentic commerce features (or your platform's equivalent); (6) test your own AI visibility by asking ChatGPT, Perplexity, and Gemini to recommend products in your category. For most stores under 5,000 SKUs, this is a 2–4 week project.
What is the ROI of becoming agentic-ready?
For a Shopify brand doing $200K/month, AI channels currently drive 5–8% of traffic at a 2.47% conversion rate with 20–38% higher AOV — roughly $10K–$16K/month in revenue if your store is visible to agents, $0 if it isn't. By 2028, that gap could grow to $30K–$50K/month as AI-referred traffic reaches 15–25% of total e-commerce traffic. Tatcha saw a 38% AOV jump from AI-assisted shopping; Victoria Beckham Beauty saw a 20% AOV increase.
Built by DestiLabs — we build AI systems for companies that want to stop doing things manually.
