Big Shopify Update You Missed

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Your AI Can Now Build Campaigns Inside Omnisend, Not Just Talk About Them

Most "AI for marketing" tools do one thing: summarize data you already had to dig up yourself.

Omnisend does something different. Connect it to ChatGPT or Claude, and your AI can read your live Omnisend account, find the gap in your campaigns, and draft the fix right there.

No export. No dashboard. No "let me check and get back to you."

• Ask "what drove revenue this week" and get the real breakdown straight from your Omnisend data
• Say "build a re-engagement campaign for my lapsed buyers," and Omnisend AI drafts the segment and the email, ready to review
• Run on a platform already returning $79 for every $1 spent across 150,000+ brands, for up to 35% less than what you're paying now

Switching is the easy part. Omnisend migrates your lists, campaigns, and automations for free, done in 5 days flat, so the only thing you're really deciding is how soon your AI starts working for you instead of just talking to you.

📊 🤖 Shopify Goes All In On AI Commerce

Shopify rolled out its Spring 26 Edition this week, packing in over 150 updates, most of them AI powered. Three changes stand out for merchants watching where sales actually come from.

Steps to make sense of the rollout:

1️⃣ Track AI channel sales in one place
A new Agentic Storefronts panel pulls sales from ChatGPT, Copilot, Google AI Mode, Gemini, and Shop into a single dashboard. It also flags the top AI search queries in your category and shows where shoppers are sent to a competitor instead of you. Sidekick then suggests what to fix, usually thin titles or missing specs. Early numbers back the urgency: one skincare brand says AI channels drove over 3% of March revenue, while a sleep brand reports AI revenue up 20x year over year.

2️⃣ Let AI run your ad campaigns
A new Campaign Autopilot tool lets merchants hand Meta and other platform campaigns fully over to Shopify's AI. Set a budget and a goal, and the system handles targeting, creative, and optimization. It's built for merchants who can't afford an agency yet, and early testers are reporting strong results.

3️⃣ Let Sidekick take action, not just answer
Sidekick has moved from chatbot to assistant. It now logs into connected apps like Klaviyo, Loop, Smile, and Judge.me to complete tasks directly, keeps working in the background while you move on, and surfaces a short fix it list at the start of every admin session, even on mobile and Apple Watch.

The Takeaway
This release signals where ecommerce is heading. AI is no longer just answering customer questions, it is closing the loop from discovery to checkout to ad spend. Merchants who open their admin this week will see exactly where they are winning and losing in AI search, and now have tools to act on it right away.

🔎 Vet Business Opportunities with NotebookLM

Trying to decide between vendors, markets, or tools but not sure which one actually holds up under scrutiny? NotebookLM can turn a rough business idea into a source backed research brief, so every decision comes with real evidence behind it. The example here is choosing an AI receptionist vendor, but the same workflow applies to partnerships, new markets, software tools, or any opportunity that requires a proper comparison.

Steps to Vet Business Opportunities Using NotebookLM

1️⃣ Write a Decision Memo
Ask ChatGPT, Claude, or Gemini to draft a one page decision memo. Include the opportunity, the options, the buyer, your constraints, and the questions you need answered.

2️⃣ Upload and Review in NotebookLM
Add the memo as your first source. Ask NotebookLM to review it without recommending anything yet, and to return the decision, the options, the evaluation criteria, and the source categories needed before the analysis can be trusted.

3️⃣ Research Each Option
Use NotebookLM's source discovery to dig into each vendor. For an AI receptionist, that means pricing, features, integrations, reviews, and proof for options like Goodcall, Smith.ai, and Slang.ai.

4️⃣ Build Structured Briefs
Generate one brief per option using the same fields each time, best fit, proof points, pricing evidence, implementation effort, risks, and what still needs confirming.

5️⃣ Get a Final Recommendation
Ask for a comparison table with a winner, runner up, an avoid for now option, fragile assumptions, sales call questions, and a 30 day validation plan.

The Takeaway
This turns vendor research from guesswork into a repeatable system. Save the memo, source coverage, vendor brief, and recommendation prompts once, and reuse them for every future decision that needs real evidence instead of gut feel.

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