About The AI 500
The AI 500 is a public database and benchmark that tracks which brands AI assistants recommend. It queries multiple large language models across hundreds of industries and aggregates brand visibility into searchable rankings and scores.
Review
The AI 500 provides a focused dataset for teams that want to know how often and where their brand is recommended by popular LLMs. By combining cross-model sampling with daily updates, the product aims to make AI recommendation patterns visible and comparable.
Key Features
- Queries four major LLMs (ChatGPT, Claude, Gemini, Perplexity) across a standardized set of prompts.
- Coverage of 500 industries using 5,000+ real prompts and an index of 15,000+ brands.
- Daily-updated visibility scores and an ability to compare any two brands head-to-head.
- Model disagreement analysis that highlights when assistants differ on top recommendations.
- Operational infrastructure that supports high-volume API usage (example: ~10,000 API calls per day in the current setup).
Pricing and Value
The launch listing shows a free plan available at the time of release, making the dataset accessible for initial exploration. The main value proposition is immediate feedback on how brands perform in AI recommendations versus competitors, which can inform marketing, SEO, and product positioning decisions. Larger teams or those needing higher-rate API access should expect to inquire about customized plans or enterprise options.
Pros
- Large and transparent dataset covering many industries and thousands of brands.
- Daily updates keep rankings current as models and their behaviours change.
- Cross-model comparisons expose differences between assistant recommendations.
- Searchable index and head-to-head comparisons make benchmarking straightforward.
- Useful for spotting surprising competitor performance that might require quick action.
Cons
- The public index is driven by a fixed prompt set, so results may not capture every real-world query or language nuance.
- At launch, details about paid tiers and long-term pricing are limited, which can make budgeting uncertain for larger teams.
- Turning visibility data into concrete product or SEO changes still requires internal analysis and follow-up testing.
The AI 500 is best suited for brand managers, marketing and SEO teams, and competitive-intelligence practitioners who want a data-backed view of AI recommendation behavior. It works well as an early warning system to spot competitors that are overperforming and to prioritize places to test changes in messaging or positioning.
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