FAQ & How It Works

Everything you need to know about FAIMOUS and AI brand reputation

How It Works

01

AI Queries

We ask multiple AI engines (GPT, Claude, Gemini, Mistral) to rank brands across hundreds of product categories.

02

Scoring Algorithm

Rankings pass through our proprietary algorithm accounting for consistency, position, and frequency.

03

Tracking & Alerts

Brands monitor scores over time, compare across AI engines, and receive alerts on changes.

Scoring Criteria

Value

Quality-to-price ratio as perceived by AI models

Famous

Brand awareness and popularity in AI training data

Quality

Product quality and performance reputation

Why It Matters

AI assistants are increasingly used for product recommendations. When a consumer asks an AI "What's the best laptop brand?", the answer shapes purchasing decisions. FAIMOUS helps brands understand and track their position in these AI-generated recommendations.

Frequently Asked Questions

What is FAIMOUS?
FAIMOUS tracks how AI language models (GPT, Claude, Gemini, Mistral) perceive and rank brands. We query these models across hundreds of product categories and compute reputation scores.
How are scores calculated?
Our algorithm sends multiple ranking queries per category to each AI engine. Brands are scored based on rank position (non-linear scale), consistency across queries (appearance bonus), and logarithmic compression. The authority score is the average of Value, Famous, and Quality.
What are the three criteria?
Value measures quality-to-price ratio, Famous measures brand awareness and popularity, and Quality measures product quality and performance. The Authority score is the average of all three.
How often are scores updated?
Scores are recalculated periodically. The dashboard shows historical trends so you can track changes over time.
Which AI models do you track?
We currently track GPT-4o (OpenAI), Claude Sonnet (Anthropic), Gemini Pro (Google), and Mistral Large (Mistral AI).
Can I track my own brand?
Yes! Use the Brand Dashboard to search for your brand and monitor its scores, evolution over time, and how it's perceived across different AI engines.
Why do scores differ between AI models?
Each AI model is trained on different data with different approaches. This naturally leads to variations in brand perception. The spread indicator shows how consistent your brand's perception is across models.
What is the maximum possible score?
Scores are capped at 98 by design. This prevents perfect scores and ensures meaningful differentiation even among top-tier brands.