Runner AI

What is Runner AI?

Runner AI is an AI-powered platform that creates e-commerce storefronts from prompts and auto-generates product visuals, listings, and optimization tests.

Its core purpose is to reduce the time and manual effort involved in launching an online store and to continuously improve performance by analyzing store and user behavior and automatically initiating A/B and multivariate tests.

Key Features

• Prompt-to-storefront creation: Generate a complete storefront in minutes by chatting with AI, without themes, templates, or coding.
• AI-generated visuals for products and marketing: Create product images and marketing visuals using AI, without photography or design skills.
• Auto-generated product listings: Launch with one click using AI-generated product listing content.
• Centralized store management portal: Manage store-building and optimization tasks from one portal.
• Automated experimentation (A/B and multivariate): Runner AI automatically launches targeted tests for content, layout, user flow, promotions, and pricing.
• Test allocation control: You can set test allocation or let AI manage it.
• Continuous optimization to identify winners: Detect winning variations and personalize them to different audiences to improve conversions over time.
• Built-in merchandising and conversion tools: Includes smart upsells, personalized recommendations, wishlists, popups, announcement bar, smart checkout, bundles, unlimited product variations, and reviews.
• Marketing and growth modules: Supports SEO, CRO-focused components, CRM capabilities, loyalty and rewards, customized promotions, and A/B testing.

How to Use Runner AI

1. Start with a prompt: Describe what you want to build and use Runner AI to generate your storefront and associated assets.
2. Generate store content and visuals: Produce AI-generated product images and marketing visuals, then create product listings.
3. Launch and manage from one portal: Use the one-portal workflow to manage the storefront elements as they take shape.
4. Enable automated optimization: Let Runner AI analyze store and user behavior and automatically initiate A/B and multivariate testing across key merchandising and conversion areas.
5. Review outcomes and iterate: Runner AI identifies winning variations and scales what works through ongoing optimization.

Use Cases

• Launching a new e-commerce store quickly: Create a full storefront and product listings by chatting with AI, then launch with minimal setup.
• Creating product and marketing visuals without a design workflow: Generate product images and marketing visuals directly from AI rather than relying on photography or manual design skills.
• Improving conversion rate through automated CRO testing: Have Runner AI run A/B and multivariate tests across content, layout, user flow, promotions, and pricing to find better-performing combinations.
• Scaling campaigns based on behavior signals: Use AI-driven analysis of user behavior to continuously personalize experiences and improve conversions over time.
• Building richer product catalogs: Use features like unlimited product variations and bundles to expand merchandising options without a separate manual configuration process.

FAQ

• Do I need coding skills or to choose a theme/templates? The site states you can create your storefront without themes, templates, and coding.

• Can Runner AI generate product images and marketing creatives? Yes. Runner AI is described as generating product images and marketing visuals with AI.

• What does Runner AI test automatically? It automatically initiates targeted A/B and multivariate tests on content, layout, user flow, promotions, and pricing.

• Can I control how tests are allocated? The site says you can set your test allocation or let AI manage it.

• How does Runner AI decide what to improve? It claims to analyze your store and user behavior, identify winning variations, and personalize experiences to audiences to optimize conversions.

Alternatives

• Traditional e-commerce platforms with manual design and optimization: Use a standard storefront builder and run A/B testing with separate tools. This typically requires more manual setup compared with an AI-driven prompt-to-store workflow.
• Dedicated CRO/A-B testing tools: Focus on experimentation and performance measurement. These tools may not generate storefront content, product listings, or visuals end-to-end.
• AI website builders for commerce (prompt-based): Similar in that they can generate pages from prompts, but may not provide automated store behavior analysis and merchandising/optimization modules in the same workflow.
• Commerce marketing and personalization suites: Tools centered on recommendations, upsells, and lifecycle messaging. They may require you to handle store creation and experimentation setup outside the suite.