Feed Optimize Dashboard
The Challenge
AI shopping is here. Is your feed ready?
AI shopping assistants are changing how people discover and buy products. They don't browse — they recommend. And they pull product data directly from feeds. If your feed isn't optimized for AI, your products are invisible to millions of shoppers.
Product feeds optimized for Google Shopping don't work for AI
Google Shopping feeds are built around structured attributes and bidding strategies. AI shopping assistants evaluate products completely differently — they analyze descriptions, reviews, and contextual relevance. A feed that ranks well on Google may be invisible to ChatGPT and Perplexity.
AI shopping assistants ignore incomplete product data
When your feed has missing descriptions, vague titles, or sparse attributes, AI assistants skip your products entirely. They need rich, contextual product information to make confident recommendations — and they won't guess what you left out.
No way to test which products AI recommends
You can check your Google Shopping rankings any time. But there's no native tool to see what happens when someone asks ChatGPT 'What's the best running shoe under $150?' Without testing, you're flying blind in the fastest-growing shopping channel.
Competitors' products get recommended instead
Every time AI recommends a competitor's product instead of yours, you lose a sale you never knew about. And unlike traditional search, there's no ad you can buy to fix it — you need to optimize your feed data at the source.
Capabilities
Everything you need to optimize feeds for AI
Purpose-built for AI shopping optimization. Not a Google Shopping tool with an AI label — a dedicated platform for making your products visible to AI assistants.
Feed Testing Against AI Queries
Submit your product feed and test it against real AI shopping queries. See exactly which products AI assistants would recommend and which ones they overlook — before your customers ask.
Product Recommendation Tracking
Monitor which of your products appear in AI shopping recommendations over time. Track recommendation frequency, position, and context across ChatGPT, Perplexity, and other AI platforms.
Attribute Optimization
Get field-by-field suggestions to improve your product data for AI visibility. From titles and descriptions to custom attributes — know exactly what to change and why it matters.
Competitor Feed Comparison
See how your product feed stacks up against competitors for the same AI shopping queries. Identify why their products get recommended over yours and what data differences drive it.
Category Coverage Analysis
Discover which product categories have strong AI visibility and which have gaps. Prioritize optimization efforts on the categories with the highest potential for AI-driven sales.
Feed Health Monitoring
Continuous monitoring of your feed for issues that hurt AI visibility — missing fields, stale data, inconsistent formatting, and quality scores. Get alerts before problems cost you recommendations.
Feed Tester
Test your feed against real AI shopping queries
Upload your product feed or connect it via URL, and Maya runs it against hundreds of real AI shopping queries that your customers are asking. See exactly which products AI assistants pick, which ones they ignore, and what makes the difference. Test across ChatGPT Shopping, Perplexity Product Search, and more.
- Upload CSV/XML or connect feed URL
- Test against real AI shopping queries
- Product-level visibility results
- Cross-platform AI comparison
Feed Tester
Product Visibility Report
See which products AI recommends — and which are invisible
Your Product Visibility Report breaks down every product in your feed by AI recommendation status. See your top performers, understand why they get recommended, and identify the invisible products that AI never surfaces. Drill into individual products to see exactly which queries they appear for.
- Product-by-product AI visibility scores
- Recommended vs invisible product breakdown
- Query-level recommendation mapping
- Trend tracking over time
Product Visibility Report
Attribute Optimizer
Field-level suggestions to improve AI product visibility
The Attribute Optimizer analyzes every field in your product feed and gives you specific, actionable suggestions to improve AI visibility. From rewriting product titles to enriching descriptions and adding missing attributes — each suggestion shows the estimated impact on AI recommendation likelihood.
- Field-by-field optimization suggestions
- Estimated visibility impact scores
- Before/after recommendation previews
- Bulk optimization export
Attribute Optimizer
How It Works
Optimize your feed in three steps
Connect your product feed
Upload your feed file or connect via URL. We support Google Merchant Center XML, CSV, JSON, and Shopify feeds. Setup takes under two minutes.
We test against AI shopping queries
Maya runs your products against hundreds of real AI shopping queries across ChatGPT, Perplexity, and other platforms. Every product gets a visibility score.
Get actionable optimization tips
Receive product-level and field-level suggestions to improve AI visibility. Implement changes, re-test, and watch your recommendation rate climb.
Who It Helps
Built for teams that sell products online
E-commerce Teams
Ensure your entire product catalog is optimized for AI shopping. Track which products AI recommends and turn invisible inventory into AI-visible revenue.
Feed Managers
Go beyond Google Shopping optimization. Use AI-specific feed testing to validate that your product data meets the requirements of AI shopping assistants.
Performance Marketing
Add AI shopping to your channel mix. Measure product visibility across AI platforms and optimize feeds to capture high-intent AI-driven shopping traffic.
D2C Brands
Compete with marketplace giants in AI recommendations. Optimize your direct product feeds so AI assistants recommend your brand alongside — or instead of — Amazon listings.
Frequently asked questions
Which feed formats do you support?+
We support all major product feed formats including Google Merchant Center XML, CSV/TSV, JSON, and Shopify product feeds. You can upload a file directly or connect your feed via URL for continuous monitoring. If you use a feed management tool like DataFeedWatch or Feedonomics, you can connect those feed URLs directly.
How do AI shopping assistants choose products?+
AI shopping assistants evaluate products based on multiple signals: product title relevance, description quality and detail, attribute completeness, review sentiment, price competitiveness, and brand authority. Unlike Google Shopping, there's no bidding — the AI picks products it believes best match the user's intent. Our platform helps you optimize for these specific signals.
Can I test individual products?+
Yes. You can test your entire feed or drill down to individual products. Search for specific SKUs, filter by category, or select individual products to see how they perform against relevant AI shopping queries. This is especially useful for high-value products or new launches.
Do you support Google Merchant Center feeds?+
Yes, Google Merchant Center feeds are fully supported and are the most common format our users connect. However, a feed that performs well on Google Shopping often needs adjustments for AI visibility — AI assistants weigh different attributes and evaluate product descriptions differently than Google's algorithm.
How often should I optimize my feed?+
We recommend reviewing your feed optimization monthly, with continuous monitoring enabled for alerts. AI models update regularly, and competitor products change frequently — both can shift which products get recommended. Major feed changes (new products, price updates, description rewrites) should be tested immediately to measure their impact on AI visibility.