Geometric mean of LBA, Authority and TOM. Penalises any single weak metric.
What the model believes about Curb without web search.
Frequency × prominence across organic category prompts.
Measures what GPT-5 believes about Curb 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 Curb is firmly in the model's "taxi app service" 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 taxi app services for booking rides in my city? | 0 | 3/5 | 7, 8, 8 |
| What are the top taxi app services for local ride booking? | 0 | 5/5 | 8, 8, 8, 5, 9 |
| What are the most popular taxi app services in metropolitan areas? | 0 | 5/5 | 10, 10, 8, 9, 8 |
| Which taxi app services are most recommended for city travel? | 0 | 0/5 | — |
| What are the best taxi app options for booking cabs locally? | 0 | 4/5 | 5, 8, 5, 5 |
| Which taxi app services are best for quick urban rides? | 0 | 2/5 | 5, 5 |
| What are the leading taxi app services for regional travel? | 0 | 0/5 | — |
| What taxi app services do people usually use to book taxis? | 0 | 3/5 | 5, 5, 10 |
| Which taxi app services are worth trying for local bookings? | 0 | 5/5 | 6, 5, 9, 5, 8 |
| What are the best-rated taxi app services available in my area? | 0 | 0/5 | — |
| What are the best taxi booking apps for local taxis? | 0 | 5/5 | 1, 1, 5, 5, 1 |
| Which taxi apps are most trusted for city taxi rides? | 0 | 5/5 | 5, 4, 5, 3, 2 |
| What are the most used taxi app services in a country or region? | 0 | 0/5 | — |
| What are the best taxi app services for everyday commuting? | 0 | 3/5 | 7, 8, 5 |
| Which taxi app services are the best overall for local ride hailing? | 0 | 0/5 | — |
This report focuses on Regional Taxi App Services because that is where Curb scores highest. The model also evaluates it against the industries below, with their own prompts and competitor sets. Click any industry for its full leaderboard.
Generated automatically from gaps and weaknesses in the analysis above, ranked by potential impact on the AI Visibility Score.
The model knows your category but may not name your specific products. Get product-level content into independent reviews, comparison articles, and ranked lists.
+5 to +15 on LBARetrieval (54) beats recall (42). 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 TOMOther brands in the Regional Taxi App Services 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 3:37 AM
Click a prompt to expand its responses. 210 total responses across 72 prompts.