Optimize your brand presence in Meta AI, where billions of users ask for recommendations, discover products, and make decisions without leaving their social feeds.
Track & Improve How Your Brand Appears on Walmart Sparky
Why Optimizing for Sparky Matters
America's largest retailer, now AI-powered
Walmart's 255 million weekly customers increasingly let an AI decide which brands get discovered, recommended, and bought. Sparky sits at the front door of the world's largest retail platform — and brand visibility here has direct revenue consequences.
Shopping decisions made in conversation
Sparky helps shoppers discover products, compare options, and navigate reviews through a conversational interface. Brands that aren't showing up in Sparky's recommendations are invisible at the exact moment purchase intent is highest.
Retail AI built to convert
Unlike general-purpose models, Sparky runs on retail-specific LLMs trained on product data, purchase history, and shopping signals. Visibility here isn't about awareness — it's about being in the consideration set when someone is ready to buy.
Complete Visibility & Control in Sparky
Prompt Research
Discover the exact questions users ask Meta AI across Facebook, Instagram, WhatsApp, and Messenger in your category and prioritize high-intent opportunities.
Visibility Monitoring
Track Meta AI mentions, citations, sentiment, and competitive positioning across social and conversational contexts.
Optimization Actions
Get Meta AI-specific recommendations prioritized by impact on visibility and mention frequency across social platforms.
AEO Writer
Generate content optimized for Meta AI’s social evaluation criteria while maintaining your brand voice.
Agentic Commerce Suite
Optimize product visibility in Meta AI’s shopping recommendations and product discovery features across Instagram, Facebook, and WhatsApp.
Crawlers & Agents
Monitor Meta’s AI crawler activity and close technical gaps preventing content indexing.
Analytics & Attribution
Measure traffic and conversions from Meta AI across social platforms to prove optimization drives revenue.
How Goodie Tracks Sparky
model
Model Coverage
Sparky (Walmart.com and Walmart mobile app) with automatic updates as the model evolves.
Update Frequency
Daily data collection with real-time monitoring for high-priority products and competitive shifts.
Analysis Depth
Multi-dimensional prompt testing across product categories, shopping scenarios, and query types — including product comparisons, category queries, and purchase guidance.
Multilingual Support
Comprehensive category-level analysis showing your share of visibility within specific product segments, allowing strategic optimization beyond individual SKUs.
Questions?
We have
the answers.
Sparky is Walmart’s AI-powered shopping assistant, available in the Walmart app and on Walmart.com. It helps shoppers discover products, compare options, and get personalized recommendations conversationally. Shoppers who engage with Sparky have 35% higher average order values than those who don’t.
Sparky reaches over half of Walmart’s app user base and shapes product discovery across every category. Brands not optimized for Sparky’s recommendations lose visibility at the exact moment shoppers are ready to add to cart.
Goodie tracks how often Sparky mentions and recommends your brand, surfaces the prompts shoppers use when discovering your category, identifies gaps vs. competitors, and delivers prioritized actions to improve your presence.
Sparky is purpose-built for retail. It operates inside Walmart’s ecosystem using retail-specific LLMs trained on product and purchase data. It’s especially critical for consumer brands, CPG companies, and any brand with a presence on Walmart.com.
Sparky typically reflects product content improvements within 1-3 weeks. Updates to product descriptions, enhanced review quality, and improved Q&A coverage often show immediate impact on recommendation rates and AI-assigned labels.
Learn More About
Optimizing for Sparky
Optimize Across
All Major AI Models