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Product Tracker
Track how specific products are described, ranked, and recommended inside AI systems. AI may summarise products inaccurately or recommend competitors. Meikai gives you the visibility to act.
1 in 3
AI answers trigger shopping
Shelf sh.
brand vs competitors in AI carousels
Top 3
positions tracked per carousel
AI systems don't always get product details right. Meikai tracks how your products are described, ranked, and recommended across ChatGPT, Gemini, Perplexity, and more.
Monitor description accuracy, feature representation, and recommendation frequency by SKU and category. Shopping results are collected from ChatGPT, Google AI Mode, and Google AI Overviews.
AI rank
#3
Compare your products against the competition across every AI system. Understand which competitor products AI recommends instead of yours and why.
We benchmark across the same prompt sets and topic categories, giving you an apples-to-apples view of AI competitive positioning, including the price win rate on comparable products.
| Product |   ChatGPT |   Gemini |   Google AI Mode |   Google AI Overviews |   Perplexity |   Claude |
|---|---|---|---|---|---|---|
 Nike Air Pegasus 41 Your product | 1 | 2 | 1 | 1 | 2 | 1 |
Nike Vomero Plus Your product | 3 | 1 | 3 | 2 | 1 | 4 |
 Hoka Clifton 10 | 2 | 3 | 2 | 3 | 3 | 2 |
 ASICS Gel-Nimbus 26 | 4 | 4 | 4 | 4 | 4 | 3 |
Avg rank (yours)
#1.8
#1 positions
6 / 12
Platforms tracked
6 / 14+
AI-generated product descriptions can be outdated, incorrect, or misleading. Meikai flags inaccuracies and tracks how corrections propagate through LLM outputs over time.
From pricing errors to feature misattribution, Meikai gives you a clear audit trail of how your products are represented and what to fix.
Air Pegasus 41— Feature misattributionInaccurate
Vomero Plus— Outdated pricingOutdated
Air Max 90Accurate
Metcon 9— Competitor mentionInaccurateLast scanned: today · 4 products · 14+ LLMs
Yes. Retailers and marketplaces get their own view of the same measurement, reporting assortment and merchant position, rather than the product-brand view a brand uses to track its own catalogue.
Yes. LLMs may summarise features inaccurately, cite outdated pricing, or recommend competitors in response to product-specific queries.
Yes. AI-driven product discovery is increasing, especially in high-consideration categories like beauty, electronics, luxury, and automotive.
Meikai scales from individual SKUs to full product catalogues, and a native Shopify app connects a store's catalogue directly. Contact us to discuss the right configuration for your product portfolio.
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