The AI Recommendation Rankings Authority
RecommendationIndex is an independent research organization that tracks which software platforms, products, brands, and services are recommended most frequently by leading AI systems.
By analyzing recommendations generated by ChatGPT, Claude, Gemini, Perplexity, and other AI platforms, RecommendationIndex publishes AI Recommendation Rankings™ across major industries and categories.
As consumers increasingly rely on AI assistants to make purchasing decisions, evaluate software, and discover brands, understanding AI recommendation visibility has become a competitive advantage.
RecommendationIndex was created to help organizations understand which companies AI recommends, why those companies are recommended, and how recommendation trends change over time.
Looking for a quick overview? Read: What Is RecommendationIndex?
Our Mission
Our mission is to create the industry’s most trusted benchmark for AI-generated recommendations.
For decades, organizations measured visibility through traditional search engines.
Today, consumers increasingly ask questions directly to AI systems such as:
- ChatGPT
- Claude
- Gemini
- Perplexity
These platforms influence which companies, products, services, and software solutions are discovered and recommended.
RecommendationIndex exists to bring transparency, measurement, and accountability to AI-driven recommendations.
What We Publish
RecommendationIndex publishes independent research, rankings, and benchmark reports across major business and technology categories.
Our research identifies:
- Which companies AI recommends most often
- How recommendation patterns vary across AI systems
- Which organizations lead their categories
- How recommendation visibility changes over time
- Emerging trends in AI-driven discovery
Current research categories include:
- CRM Software
- Email Marketing Software
- Automotive Software
- Education Technology
- Church Software
- Small Business Software
- Website Builders
- Artificial Intelligence Tools
New categories and benchmark reports are added regularly.
AI Recommendation Rankings™
RecommendationIndex rankings are based on the frequency and consistency with which organizations appear in AI-generated recommendations.
Our rankings evaluate factors such as:
- Recommendation Frequency
- Cross-Model Presence
- Ranking Position
- Category Relevance
The goal is to identify which organizations are most visible within AI recommendation ecosystems.
These rankings are designed to provide objective, repeatable benchmarks rather than subjective opinions.
AI Visibility Assessments™
In addition to publishing rankings, RecommendationIndex provides AI visibility assessments that help organizations understand why they are—or are not—being recommended by AI systems.
The AI Recommendation Score™ framework evaluates:
- Visibility
- Authority
- Entity Recognition
- Content Coverage
- Recommendation Presence
Organizations can use these assessments to identify opportunities to strengthen their AI visibility and recommendation potential.
Benchmark Database
RecommendationIndex maintains a growing benchmark database containing:
- Company Profiles
- Industry Rankings
- Visibility Scores
- Assessment Histories
- Competitive Benchmarks
- Recommendation Trends
As the platform grows, benchmark data will help establish industry standards for AI recommendation visibility.
Why AI Recommendation Visibility Matters
Traditional search rankings remain important.
However, AI systems increasingly serve as the first source of information for consumers, businesses, and decision-makers.
Organizations that are clearly understood, trusted, and frequently recommended by AI systems may benefit from increased visibility, discovery, and market awareness.
RecommendationIndex was created to help measure and understand those outcomes.
Looking Ahead
Our long-term vision is to establish the trusted standard for AI recommendation rankings and visibility benchmarking.
As AI becomes a larger part of how people discover products, services, and organizations, RecommendationIndex aims to provide the research, rankings, and tools needed to navigate that shift.
Measure Your AI Visibility
Ready to understand how AI systems perceive your organization?
Run an AI Recommendation Assessment™ and benchmark your visibility today.
Defining the Future of AI Recommendation Visibility
RecommendationIndex helps organizations understand, benchmark, and improve how they are perceived and recommended by AI systems.
As AI assistants increasingly influence purchasing decisions, software selection, and brand discovery, visibility within AI-generated recommendations has become a measurable business advantage.
RecommendationIndex was created to help organizations understand where they stand today and identify opportunities to improve their presence across leading AI platforms.
Our Mission
RecommendationIndex exists to bring transparency, measurement, and accountability to AI-driven recommendations.
For decades, businesses measured visibility through traditional search engines.
Today, consumers increasingly ask questions directly to AI systems such as:
- ChatGPT
- Claude
- Gemini
- Perplexity
These platforms influence which companies, products, services, and software solutions are discovered and recommended.
Our mission is to help organizations understand those recommendation dynamics and improve their position within the emerging AI ecosystem.
What We Measure
RecommendationIndex evaluates the signals that influence whether AI systems can understand, trust, and recommend a company.
The AI Recommendation Score™ framework measures five core categories:
Visibility
Can AI find and identify your organization?
Authority
Do available signals establish trust and expertise?
Entity Recognition
Does AI consistently recognize your brand and category?
Content Coverage
Can AI confidently answer questions about your company?
Recommendation Presence
How likely is AI to include your company in generated recommendations?
The AI Recommendation Score™
The AI Recommendation Score™ is a proprietary framework designed to benchmark AI visibility across industries.
Organizations can use the framework to:
- Benchmark current visibility
- Compare competitors
- Identify content gaps
- Track improvements over time
- Prioritize visibility initiatives
The framework is intended to provide directional insights and benchmarking rather than guarantees of future outcomes.
Industry Research
RecommendationIndex publishes research and benchmark reports across multiple industries, including:
- CRM Software
- Email Marketing
- Automotive Software
- Education Technology
- Church Software
- Small Business Software
- Website Builders
- Artificial Intelligence Tools
Our rankings and research are designed to help organizations better understand competitive positioning in AI-generated recommendations.
Benchmark Database
RecommendationIndex maintains a growing benchmark database containing:
- Company profiles
- Industry rankings
- Assessment histories
- Visibility scores
- Competitive benchmarks
- Recommendation trends
As the platform grows, benchmark data will help establish industry standards for AI recommendation visibility.
Why AI Visibility Matters
Traditional search rankings remain important.
However, AI systems increasingly serve as the first source of information for consumers, businesses, and decision-makers.
Organizations that are clearly understood, trusted, and represented within AI-generated responses may benefit from increased visibility and discovery opportunities.
RecommendationIndex was created to help measure and improve those outcomes.
Looking Ahead
Our long-term vision is to establish a trusted standard for AI recommendation visibility.
As AI becomes a larger part of how people discover products, services, and organizations, RecommendationIndex aims to provide the benchmarks, research, and tools needed to navigate that shift.
Measure Your AI Visibility
Ready to see how AI systems perceive your company?
Run an AI Recommendation Assessment and benchmark your visibility today.