Methodology
How Lumos measures and scores your brand's visibility in AI-powered search engines.
Visibility Score
The visibility score measures the percentage of AI-generated responses that mention your brand. It's the core metric for understanding how often AI search engines recommend you to users.
Total
Mentions across all prompts — branded and non-branded combined. Gives a high-level overview of your overall AI presence.
Branded
Mentions from prompts that include your company name. Typically very high (often 100%) since LLMs echo entities from the query.
Non-Branded (Organic)
Mentions from prompts that don't contain your company name. The most meaningful metric — measures whether AI recommends you unprompted.
visibility_score = (mentions / total_evaluations) × 100
The Echo Effect
When a user asks "What do you think about [Company X]?", the model will almost always mention that company — it's echoing back the entity from the query. This inflates the visibility score artificially. By separating branded and non-branded prompts, we distinguish between two fundamentally different types of mentions:
Prompted Mentions
AI mentions you because you were in the query. Less meaningful — nearly any brand achieves high scores here.
Organic Mentions
AI mentions you unprompted, based on training data and web search results. Highly meaningful — this is true AI visibility.
A prompt is classified as "branded" if it contains the company name or any known alias (case-insensitive match).