Are you ChatGPT visible? 

Traditional site search doesn’t understand intent and that’s the problem. When a shopper types “dress”, they get hundreds of results. When they try “something for a beach wedding,” they get nothing helpful or the same 847 dresses again.

That’s not discovery. It’s a database query pretending to be search.

This gap is part of a broader shift toward AI-driven shopping, where discovery happens through intent, not keywords, which we break down in AI Shopping for Shopify.

AI commerce has changed the expectation. When customers ask ChatGPT “What should I wear to a summer wedding?”, they get a curated list of options not 800 irrelevant ones. That’s the standard shoppers now bring to your website.

As customer behavior shifts toward AI-led discovery, optimization has had to evolve with it. That’s where AI Optimization comes in.

On your storefront, that shift shows up through Discovery Prompts. They guide shoppers toward what they actually mean with intent-based suggestions powered by your real catalog, attributes, and conversion data. The result: faster discovery, higher engagement, and a direct bridge to AI shopping behavior.

How Discovery Prompts Improve Site Search

Instead of waiting for customers to guess the right keywords, Discovery Prompts proactively guide them with intent-based suggestions drawn from your actual catalog and what tends to convert. When someone lands on your site, they might see: beach wedding guest, casual summer dress, and date night outfit.

They click. They get relevant results, no keyword guessing. These aren’t static autocomplete terms pulled from past searches. They are generated from:

• Your product catalog and attributes
• Real conversion signals (what actually gets bought)
• Live context about what the shopper appears to be looking for

Discovery Prompts and AI Shopping

This is exactly how ChatGPT-style shopping works. Shoppers express intent (“What should I wear to a casual Friday at a tech startup?”). 

The system interprets the meaning, then recommends products with reasons.

Stores that win in AI shopping are optimized for intent matching. Discovery Prompts build that muscle on your site, the same mindset and structure that external AI platforms reward.

Same logic. Different surface.

Results You Can Expect

Across Atomz merchants, Discovery Prompts consistently drive click-through rates of 25%+ for suggested queries. Traditional autocomplete averages ~3–5%.

That’s not a marginal uplift; it’s a different category of performance. (Your mileage may vary based on catalog quality, traffic mix, and prompt placement).

If you want to understand how your own catalog performs in AI-driven discovery, the AI Visibility Audit provides a practical starting point.

How Atomz Discovery Agent Works

The Discovery Agent

• Parses your catalog and understands what each product is for
• Generates intent prompts that map to real products and collections
• Adapts suggestions based on conversion patterns and catalog changes

The Catalog Agent

• Enriches product data to give intent matching real context (use cases, materials, fit, care, ingredients, etc.).
• Normalizes variant attributes (size, color, material) to avoid keyword ambiguity

Together, they turn site search into guided discovery, the same behavior users expect in ChatGPT or Gemini, brought natively to your storefront.

Bottom Line

Keyword search makes shoppers work. Discovery Prompts do the work for them, capturing intent, guiding choices, and mirroring the AI-shopping experience customers already expect.

Master intent on your site, and you are already speaking the language of AI-driven discovery.

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