Michaels reported its Google Gemini-powered AI assistant doubled conversion rate on search traffic, according to early internal results shared with Digiday. The craft retailer integrated the assistant into its site to intercept search intent before a customer types — answering "what do I need for X project" instead of forcing them to navigate category pages or use traditional keyword search.
The assistant works as a conversational layer above product search. A customer types or speaks a project goal — "I want to make a wreath" — and the assistant returns a curated list of SKUs with quantities and a one-click path to cart. Michaels is betting that reducing the cognitive load between intent and cart drives more completions, especially for project-based buyers who arrive uncertain about exact product names or substitutes.
The 2x conversion lift comes from removing two friction points: the blank search box and the paradox of choice. Traditional site search punishes the customer who doesn't know the retailer's taxonomy. A user searching "ribbon" might see 843 results and bounce. The AI assistant narrows the set before the search executes, filtering by project context the customer already provided. The second advantage is specificity: the assistant can say "you need three yards of wired ribbon, floral wire, and a foam base" — a shopping list, not a category page.
Smaller physical-product brands can run the same play without Google's infrastructure by using a lightweight AI layer on their own search or email flows. The mechanism is intent capture plus guided filtering. Start with a simple pre-search question: "What are you making?" or "What's the use case?" — then route the answer through a prompt that returns three to five SKUs with brief explanations. Tools like OpenAI API or Claude can handle this for under $50/month in compute cost for a store doing a few hundred conversations. Wire it into your site search bar or deploy it as an email reply bot for product inquiries.
The steal for a one-person brand: add a single-question intake form above your site search. Typeform or a custom input field. Ask the project or problem. Pass the answer plus your product catalogue (as a JSON feed or text list) into an AI prompt that returns "Here's what you need." Link each item. Michaels spent enterprise money on Gemini integration; you spend two hours on a Zapier bridge between your form and an LLM API. The conversion lift won't be 2x on day one, but cutting search abandonment by even 20% pays for the setup in a week.
For brands with a catalogue over fifty SKUs, the real win is reducing support load while increasing cart value. Customers who get a curated list buy more items per session because the AI removed the research tax. Michaels' result suggests that the future of product search isn't better keyword matching — it's eliminating the keyword entirely and letting the customer describe the outcome instead.