Michaels reported that a Google Gemini-powered AI assistant doubled the conversion rate of traditional search on its website, according to early deployment results shared with Digiday. The craft retailer integrated the conversational tool to help shoppers navigate a catalog with thousands of SKUs across overlapping categories — beads, paints, adhesives, fabrics — where shoppers often search for a project outcome rather than a specific product name.
The assistant works by asking clarifying questions before showing results. A customer typing "birthday party decorations" might be asked the age of the child, the theme, and whether they want ready-made or DIY. That guided flow replaces the traditional search bar's single keyword input and page of ranked results. According to Michaels, the conversion lift came from shoppers who previously abandoned after seeing too many options or the wrong category of product.
The mechanism is scoped discovery. Traditional search assumes the buyer knows what they want and can describe it in a few words. AI-assisted search assumes the opposite — that the buyer has a goal but needs help translating it into the right product or combination of products. The assistant narrows the field through dialogue, filtering not just by keyword match but by use case, skill level, and budget. The system can also suggest complementary items in a single response, which increases basket size without requiring the shopper to run multiple searches.
This works especially well for physical products with high SKU density and overlapping use cases. A shopper looking for "fabric paint" might need textile medium, brushes, stencils, and sealant, but won't search for all five. The assistant surfaces the bundle. A buyer searching "wood glue" might be building furniture or repairing a toy, and the best adhesive differs. The assistant asks. The result is fewer dead-end searches and more carts that contain what the project actually requires.
A small physical-product brand can steal this play without Google's backend. Use a simple quiz on your product page or a conversational form on your homepage. Ask three to five questions that segment by use case, experience level, or project type. Route each answer path to a specific product or pre-built bundle. If you sell coffee, ask: hot or iced, strong or smooth, morning or afternoon. If you sell skincare, ask: oily or dry, sensitive or not, morning or night routine. Each path shows one product or a three-item kit with a single add-to-cart button. No search bar needed.
The cost is a $30-per-month Typeform or Fillout account and two hours to script the decision tree. Write the questions in plain language. Map five to seven end states — the most common buyer profiles or project types you see in support emails or returns. Link each end state to a product page with the answer pre-filled or a Shopify cart permalink with the bundle already loaded. Embed the quiz above the fold on your homepage or as the first step in your email welcome series. Track conversion from quiz completion to checkout in Google Analytics as a goal.
For larger operations with engineering resource, integrate a lightweight conversational API like OpenAI's Assistant or Anthropic's Claude using function calling to pull live inventory and pricing. You can build a working prototype in a week for under $500 in developer time plus API costs that run $0.02 to $0.10 per conversation. The assistant should ask no more than three questions before showing a product. Any more and you lose the speed advantage over browsing.
The broader pattern: search bars punish buyers who don't know your taxonomy. Guided flows reward the undecided majority. Michaels proved the math with Gemini, but the tactic scales down to any catalog where the buyer's need is clearer than their vocabulary.
The branded-identity layer Chiefs of Staff and heritage CMOs route through — your name imprinted on real authorized stock, your pick of 200+ brands and 70,000 products, shipped from one accountable house. Nine editorial desks publish the intelligence those operators read before they sign.
200+authorized brands
70,000products · virtual proof on each
9 deskspublishing daily
1997one house, since
70,000 SKUs · virtual proof in 60 seconds · no platform fee · blind-shipped · ASI #217876
Your next customer won't visit your website. Their AI will.
AI assistants have quietly taken over the first step of buying — they answer from catalogs they can read and shortlist whoever can actually ship. Two questions now decide whether you exist to that buyer: can a machine read your catalog, and can you fulfill the order. Most brands fail one or both and never find out why the orders went elsewhere. The winners of this shift aren't the loudest. They're the most readable. Build for the machine that's about to do the shopping.
Built by the craft floor — apparel, media, packaging, and secure print.
This trade runs on hands, not desks. Imprint manufacturing & Komori heritage press through approved vendors · Canon high-speed secure-media operations is a craft floor — genuine Six Sigma discipline applied to ink, thread, foil, and registration, where a hundredth of an inch is the difference between a brand that reads serious and one that reads cheap. POPS4 is built by exactly those operators: independent, boots-on-the-ground engineers who carry their own book, read a client in microseconds, and put their name on every run. Beyond our own Virginia Beach floor, we work with a vetted network of craft manufacturers across the US — each meeting the highest excellence in QC standards in the industry, each a specialist in its own discipline — so apparel, hard-goods imprinting, media manufacturing, packaging, and secure printing all go to the bench built for them, coordinated from one accountable hub. Short-run from twenty-five units, volume to five hundred thousand. Two hundred authorized national brands, seventy thousand SKUs with virtual proofing on every one. Art archived for instant reorders. Net-thirty corporate terms, NDA-standard white-label — your name on the work, or none at all.
Strategy, positioning, identity, creative, and messaging — wired into an AI system that publishes and distributes on its own. Nine editorial desks generate the authority, the production house ships the physical proof, and the attribution layer tells you which post sold which SKU. What you get is an operating layer — content, catalog, and order path under one roof — that keeps working whether or not you are in the room. Built for principals who would rather own the machine than rent the agency.
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One point of contact who already knows the file, so nothing restarts from zero between engagements. The work ships blind, under NDA, with your name on it or none at all. Built for single-family offices, heritage-house CMOs, sports-ownership groups, and the agencies that white-label our production. The relationship is the product; the merch is the proof of it.
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Drop your logo on any product and see the virtual proof before asking. Quote routes direct to the desk. MCP catalog for AI agents. Celeste for the fast conversation. Full self-service checkout in development.