Geometric mean of LBA, Authority and TOM. Penalises any single weak metric.
What the model believes about Runna without web search.
Frequency × prominence across organic category prompts.
Measures what GPT-5 believes about Runna from training alone, before any web search. We probe the model 5 times across 5 different angles and score 5 sub-signals.
High overlap with brand prompts shows Runna is firmly in the model's "running app" category.
Unprompted recall on 15 high-volume discovery prompts, run 5 times each in pure recall mode (no web). Brands that surface here are baked into the model's training, not borrowed from live search.
| Discovery prompt | Volume | Appeared | Positions (5 runs) |
|---|---|---|---|
| What are the best running apps for tracking outdoor runs? | 6,600 | 0/5 | — |
| Can you recommend popular running apps with GPS tracking? | 70 | 0/5 | — |
| What are the top running app options for beginners? | 0 | 0/5 | — |
| Which running apps are most recommended for training? | 0 | 4/5 | 1, 3, 2, 3 |
| What are the best running apps for route planning? | 210 | 1/5 | 4 |
| Which are the best apps for runners to track pace and distance? | 210 | 0/5 | — |
| What running apps do serious runners use? | 0 | 3/5 | 7, 8, 5 |
| What are the most popular apps for run tracking? | 0 | 0/5 | — |
| Can you list the best free running apps? | 1,600 | 0/5 | — |
| What are the best running apps for GPS tracking and stats? | 0 | 0/5 | — |
| Which running apps are best for marathon training? | 0 | 5/5 | 1, 2, 1, 1, 2 |
| What are the top-rated running apps for outdoor workouts? | 6,600 | 0/5 | — |
| What running apps are good for improving performance? | 0 | 5/5 | 1, 1, 2, 1, 2 |
| Which running apps are best for beginners with no coach? | 720 | 5/5 | 4, 3, 3, 3, 3 |
| What are the most popular GPS running apps right now? | 40 | 0/5 | — |
Generated automatically from gaps and weaknesses in the analysis above, ranked by potential impact on the AI Visibility Score.
Retrieval (48) beats recall (23). Current web knows you, but training data lags. Focus on category-phrase density in authoritative sources so future training cycles pick you up.
+5 to +15 on Authority recallYour TOM is solid on specialty queries but weaker on broad category questions. Seed content that frames your brand in the exact phrasing users use in broad queries, not just your specialty sub-category.
+5 to +15 on TOMYour LBA is strong. Focus on maintaining authoritative coverage and ensuring new product launches get independent reviews within 12 months of release.
Maintain current LBAOther brands in the Running & Cycling Apps industry, ranked by overall AI Visibility Score.
Every score on this page is reproducible. Below is exactly what we ran and how we computed each number.
(LBA × Authority × TOM)^(1/3). Geometric mean is used so that any single weak metric pulls the overall score down, rather than being masked by strength elsewhere.
quality × meta × stability × share × recognition × 100. Each sub-signal is on a 0-1 scale. Read the full LBA methodology →
Analysis run on April 23, 2026 at 2:00 AM
Click a prompt to expand its responses. 210 total responses across 72 prompts.