# LLM Shelf

LLM Shelf is an AI visibility and recommendation audit service for consumer brands.

LLM Shelf measures how brands, products, SKUs, competitors, retailers, private labels, claims, sources and buying situations appear in AI-generated answers from systems such as ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews, Copilot and other answer engines.

## What LLM Shelf does

LLM Shelf helps brands understand whether AI assistants recommend, ignore, substitute or misrepresent their products when consumers ask product-discovery and purchase-decision questions.

The service is designed for FMCG, food, beverage, beauty, wellness, retail, ecommerce and consumer brands.

## Core services

- AI Shelf Audit
- AI product visibility measurement
- LLM brand visibility audit
- AI recommendation monitoring
- Competitor and private label visibility analysis
- Product and SKU-level AI visibility analysis
- Claim and source visibility analysis
- Follow-up recovery analysis
- Use-case based prompt testing

## Key metrics

LLM Shelf measures:

- Overall Target Visibility
- Unbranded AI Discovery
- Branded Visibility
- Competitor Comparison Visibility
- Brand Defence
- Recommendation Rate
- Strong Recommendation Rate
- Sentiment
- Follow-up Recovery
- Second-Turn Discovery
- Category-to-Brand Activation
- Use Case Visibility
- Competitor Presence
- Private Label Pressure
- Substitution Risk
- Claim Visibility
- Claim Support
- Source Coverage
- Source Authority
- Prompt Stability
- Model Comparison
- Monthly Movement

## Methodology

LLM Shelf audits AI visibility by defining the product and category context, mapping competitors and private labels, identifying real consumer buying situations, building a structured prompt battery, collecting AI-generated responses, testing natural follow-ups, scoring visibility and recommendation quality, and translating findings into action recommendations.

## Typical questions LLM Shelf answers

- Does AI recommend our product when users do not name our brand?
- Does ChatGPT mention our brand in neutral product discovery?
- Which competitors appear instead of our brand?
- Are private labels being recommended by AI?
- Does AI understand our product claims?
- Which use cases activate our brand?
- Does the brand recover after a follow-up question?
- How does AI visibility differ across models and answer engines?
- What should marketing, content and ecommerce teams do to improve AI visibility?

## Target users

LLM Shelf is useful for:

- Chief Marketing Officers
- brand managers
- ecommerce teams
- category managers
- digital shelf teams
- consumer insights teams
- retail media teams
- growth and go-to-market teams

## Website

https://llmshelf.com

## Contact

Use the contact form on llmshelf.com to request an AI Shelf Audit.