Geometric mean of LBA, Authority and TOM. Penalises any single weak metric.
What the model believes about Blinkist without web search.
Frequency × prominence across organic category prompts.
Measures what GPT-5 believes about Blinkist 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 Blinkist is firmly in the model's "skill-based microlearning 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 skill-based microlearning apps for daily practice? | 880 | 5/5 | 3, 9, 3, 5, 3 |
| Which skill-based microlearning apps are most popular right now? | 0 | 5/5 | 10, 4, 6, 10, 4 |
| What are the top microlearning apps for learning new skills fast? | 20 | 5/5 | 2, 1, 2, 2, 2 |
| What are the best apps for bite-sized skill learning? | 0 | 5/5 | 2, 2, 3, 8, 2 |
| Which microlearning apps are best for building skills every day? | 0 | 5/5 | 3, 3, 2, 2, 2 |
| What are the most recommended apps for short lessons and practice? | 0 | 0/5 | — |
| What are the best mobile apps for quick skill lessons? | 0 | 4/5 | 9, 3, 2, 2 |
| Which apps are best for learning in small daily chunks? | 0 | 5/5 | 3, 5, 2, 3, 2 |
| What are the best microlearning apps for self-improvement? | 0 | 5/5 | 1, 1, 1, 2, 1 |
| What are the best apps for short, focused learning sessions? | 0 | 5/5 | 4, 4, 2, 3, 4 |
| Which apps are best for practical skill-building lessons? | 0 | 3/5 | 11, 10, 11 |
| What are the most popular apps for learning one skill at a time? | 0 | 5/5 | 8, 10, 7, 7, 8 |
| What are the best apps for daily learning streaks and skill practice? | 0 | 1/5 | 3 |
| Which apps are best for fast, bite-sized training? | 0 | 5/5 | 2, 2, 2, 2, 2 |
| What are the best skill-building apps with short lessons? | 0 | 5/5 | 9, 5, 9, 2, 2 |
Generated automatically from gaps and weaknesses in the analysis above, ranked by potential impact on the AI Visibility Score.
You score 57 on recall but only 31 on retrieval (gap of +26.2). Training-data authority is outpacing your current web footprint. Publish fresh, well-cited content to keep search-augmented responses including your brand.
Close the fragility gapYour LBA is strong. Focus on maintaining authoritative coverage and ensuring new product launches get independent reviews within 12 months of release.
Maintain current LBACore TOM is strong. Watch for specific differentiators (slogans, signature products) that appear in only some iterations. Push those into training-data-crawled headlines.
Maintain / refine TOMOther brands in the Skill-Based Microlearning 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 5:06 AM
Click a prompt to expand its responses. 210 total responses across 72 prompts.