Products

The Products section gives you detailed insights into how each product in your catalog performs across AI shopping recommendations. Analyze visibility, rankings, competitors, and product-specific opportunities to understand which products AI models recommend, and why.

Products Table

The Products table is your central view for monitoring product performance. Each row represents a product from your catalog along with its AI Shopping metrics.

Available Metrics

Metric	Description
Visibility	Percentage of AI shopping responses where the product is recommended.
Win Rate	Percentage of recommendations where the product is the top-ranked result.
Average Position	The product’s average ranking when recommended. Lower values indicate higher placement.
Appearances	Total number of AI responses in which the product appears.
Catalog Price	The product price from your uploaded catalog.
Mentioned Price	The price referenced by the AI model, allowing you to compare AI pricing against your catalog.
Competing Products	Products most frequently recommended alongside yours.
Shopping Queries	Purchase-intent prompts and shopping searches that trigger recommendations for the product.
Supporting Queries	Additional search topics and informational queries that contribute to recommendation context.
Product Attributes	Features and characteristics AI models use when evaluating and comparing products.

Products that consistently rank near the top of AI recommendations are significantly more likely to be seen and selected by users. Monitoring Average Position alongside Visibility provides the clearest picture of product performance.

Product Attributes

AI models evaluate products using a variety of attributes before recommending them. Cite AI identifies these attributes and shows how frequently they influence recommendations.

Use attribute insights to:

• Identify important product information missing from your product pages.
• Improve product descriptions with attributes AI models consistently reference.
• Compare your product information against competing products.
• Strengthen product content for attributes that influence recommendations most.

Providing complete, structured product information makes it easier for AI models to understand and recommend your products.

Product Details

Select any product from the table to open its detailed performance dashboard.

This view provides a comprehensive breakdown of how the product performs across AI shopping conversations and how its performance changes over time.

Key Performance Metrics

Each product includes summary metrics for the selected date range:

• Visibility — Percentage of AI shopping responses where the product appears.
• Win Rate — Percentage of responses where the product is the top recommendation.
• Average Position — Average placement within AI-generated product recommendations.
• Appearances — Total number of recommendations.
• Catalog Price — Uploaded product price.
• Mentioned Price — Price referenced by AI models.

Trend indicators show whether each metric has improved or declined compared to the previous period.

Performance Insights

The Product Details page includes several visualizations to help explain product performance.

Competitor Products

View the products most frequently recommended alongside yours to understand your true AI shopping competitors.

Position Distribution

Analyze how your product ranks compared to competing products over time.

A product with lower visibility but consistently high rankings may outperform one that appears frequently but ranks much lower.

Shopping Queries

Discover the shopping prompts that most frequently trigger recommendations for the selected product.

These queries help identify customer intent and reveal opportunities to improve product visibility.

Supporting Queries

See additional informational searches and related topics that AI models use when generating shopping recommendations.

These queries provide valuable context for expanding product content and supporting pages.

Product Attributes

Each product includes a detailed breakdown of the attributes AI models use when comparing products.

Attributes are grouped into three categories:

Characteristics

Descriptive product features such as material, style, compatibility, design, color, or intended use.

Specifications

Objective information including dimensions, capacity, weight, technical specifications, certifications, and other measurable details.

Ratings & Reviews

Ratings, review sentiment, and other quality indicators referenced by AI models during product comparisons.

Missing or incomplete attributes can reduce recommendation likelihood. Comparing your attribute coverage with competitors helps identify opportunities to improve product information.

Shopping Prompts

View every tracked shopping prompt where the selected product appears.

For each prompt, Cite AI displays:

• Visibility
• Average Position
• Win Rate

This helps identify the shopping scenarios where your product performs well and where additional optimization may be needed.

AI Conversations

Review the AI-generated conversations in which the product was recommended.

Each conversation shows:

• The original user prompt.
• The complete AI response.
• How your product was presented.
• Competing products recommended alongside it.

These conversations provide valuable context for understanding why products are recommended and uncover opportunities to improve future AI visibility.