# Michaels deployed a Google Gemini AI search assistant and doubled conversion rate versus traditional search, per Modern Retail. *Conversational search turns browsers into buyers by answering project questions before the cart.* By **Jenny Huang Goodman MPA MSc MHSA, Principal** — The Stash Edge, Hako Shikin LLC. Published 2026-07-26. Canonical: https://www.pops4.com/stash/articles/michaels-2026-07-26t09-1 Subject: Michaels Tags: ai search, conversion optimization, guided selling, ecommerce search, product bundling --- Michaels rolled out a Google Gemini-powered AI assistant on its site search and documented a **2x conversion lift** compared to traditional keyword search, according to Modern Retail. The assistant fields natural-language craft questions—"What do I need to make a wreath?"—and returns product recommendations with project guidance in one interaction. The result is fewer abandoned sessions and more completed purchases. The system sits inside the existing search bar. A shopper types a conversational query instead of a product name, and the AI returns a curated list tied to the project intent. Michaels reported the doubling of conversion in early testing, measured against the baseline performance of its standard text-match search. The assistant does not replace the product catalog; it reorders and contextualizes it around the customer's stated goal. The mechanism is intent capture at the moment of highest uncertainty. Traditional search assumes the shopper knows the product name. Craft customers often know the outcome—centerpiece, costume, scrapbook page—but not the bill of materials. The AI closes that gap in one turn, removing the research tax that sends users to YouTube or Pinterest and never back to cart. Conversion doubles because the friction point moves from "Do I have everything?" to "Add all to cart." The second force is confidence. A shopper who asks "How do I start watercolor painting?" and receives a sequenced list—paper, brushes, palette, paint set—trusts the retailer as guide, not just vendor. The assistant effectively bundles discovery, education, and transaction in a single session. Michaels benefits from higher average order value and fewer returns, because the customer bought a coherent kit instead of guessing at components. A small physical-product brand runs the same play without Google's infrastructure by embedding conversational intent capture in email and SMS flows. Instead of a site-wide AI, script three to five common project questions your product solves—"What do I need for a picnic setup?" "How do I pack a diaper bag for a day trip?" "What goes in a beginner's skincare routine?"—and build each into a quiz or reply-to-buy sequence. Use a lightweight email platform like Klaviyo or Postscript to deliver the question via SMS, capture a one-tap answer, and respond with a pre-built cart link containing the recommended bundle. Cost: zero new software if you already run email. Time: one afternoon per question flow. The conversion lift comes from the same mechanism—removing the research step and delivering a confident, complete answer. For brands with existing chat or on-site search, integrate a simple rules-based assistant using a tool like Ochatbot or Tidio, both under **$30/month**. Configure it to recognize five high-intent phrases and return five pre-set product bundles with one-line explanations. The assistant does not need to parse infinite queries; it needs to catch the five questions your customer asks most often and answer them faster than your competitor. Measure conversion on assisted sessions versus unassisted. If you see a **25% lift**, scale the script library. If you see **50%+**, invest in a Gemini or GPT-4 integration through Shopify apps like Zipchat or Rep AI, both starting at **$49/month** for conversational product recommendation. The broader pattern is that search is no longer a lookup function; it is the first step of a guided sale. Brands that answer project questions at the search bar win the session. Brands that force the customer to translate intent into SKU lose to the one that does the translation for them. ## The takeaway Conversational search doubles conversion by answering project intent in one turn instead of forcing the customer to guess product names. --- ## Publisher **Hako Shikin LLC** — Virginia Beach, Virginia. Founded 1997. ASI 217876 · DUNS 18-204-6339. Principal and author: **Jenny Huang Goodman MPA MSc MHSA**. - Author: https://www.huanggoodman.com/about - LLM context: https://www.pops4.com/stash/llms.txt - MCP endpoint, for AI agents: https://mcp.pops4.com/mcp - Client dashboard: https://dashboard.pops4.com/ - Catalogue: 70,000+ products, 200+ brands