Is your customer human or a bot?
🤖Your store was built for humans. your next customer might not be one, and more!
Hello! You've arrived at What Actually Works 🤓
We break down the real strategies, decisions, and plays that actually move the needle in your marketing, and here it for today.
🤖Your Store Was Built for Humans. Your Next Customer Might Not Be One.
The storefront you optimized over the years assumes a human is looking at it. Hero images, brand storytelling, carefully sequenced product pages, urgency banners. Every element earns its place by influencing a person.
AI shopping agents, now moving from novelty to real purchase volume, interact with none of it. They read structured data, evaluate product attributes, compare specifications, and shortlist options for the human they represent. Two very different visitors, one storefront, and most stores are built entirely for the first.
Under the human model, persuasion carries the conversion. A product with mediocre structured data but strong photography, compelling copy, and social proof converts because the human responds to those signals. Gaps in the spec sheet get papered over by vibe. The buyer forgives an incomplete size chart if the reviews are glowing.
Under the agent model, structured data is the product. An agent shopping for a buyer parses your product schema, attribute fields, availability data, pricing structure, and variant information.
Empty fields are unanswerable questions, and an agent that cannot answer its buyer's question about your product excludes it from the shortlist rather than guessing.
The gorgeous photography never enters the evaluation. Shopify's current push to shape how AI agents understand product data is the clearest signal of where this is heading: the platforms see the agent traffic coming and are building the pipes for it.
The audit that reveals your exposure takes an afternoon.
Pull your top 20 products and check every structured field an agent would read: complete product schema markup, filled attribute fields, accurate variant data, machine-readable shipping and returns policies, specification completeness against your category's comparison points. Score each product on completeness.
The gaps are invisible to your human traffic and disqualifying to your agent traffic.
The stores that win the agent era will not be the ones with the best brand. They will be the ones whose product data answers every question an agent asks without a human in the loop.
Human buyers still dominate today, which is exactly why fixing the data layer now, before agent volume forces it, is cheap. Run the 20-product audit this month and close the gaps in order of revenue.
Partnership with Omnisend
150,000 brands run on Omnisend. Now their AI does too.
You're still exporting CSVs, switching tabs, and copy-pasting numbers just to answer "what worked this week?" That's not a workflow.
Omnisend MCP connects your ChatGPT or Claude directly to your live Omnisend account. Ask it real questions, get real answers, and act without ever leaving the conversation.
- Connect the Omnisend MCP server to ChatGPT or Claude
- Paste any prompt into your conversation and watch it pull from live account data
- Say "now do it," and your AI adjusts segments, builds campaigns, fixes what's broken
Omnisend gives you a ready-made prompt library to hit the ground running. From a quick store snapshot to a full monthly executive summary, the prompts are already written for you.
150,000+ brands run on Omnisend, and they're averaging $79 back for every $1 spent.
Switching takes zero effort since Omnisend migrates you for free within 5 days, and your bill drops up to 35%.
Connect your AI and run your first prompt today!
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Thanks for being part of the WAW team 💃 We’d love to know if this was helpful so we can continue playing it smart with the right strategies.