Measures what GPT-5 believes about Bullish 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 Bullish is firmly in the model's "institutional crypto trading platform" 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 institutional crypto trading platforms? | 0 | 0/5 | — |
| Which institutional crypto trading platforms are most recommended? | 0 | 0/5 | — |
| What are the top crypto trading platforms for institutions? | 0 | 0/5 | — |
| What are the most popular institutional crypto trading platforms? | 0 | 0/5 | — |
| What are the leading institutional crypto trading platforms? | 0 | 0/5 | — |
| Which crypto platforms do institutional traders use? | 0 | 0/5 | — |
| What is the best crypto platform for institutional clients? | 0 | 0/5 | — |
| Which crypto trading platforms are best for institutions? | 0 | 0/5 | — |
| What are the top-rated crypto platforms for institutional trading? | 0 | 0/5 | — |
| What are the best regulated crypto trading platforms for institutions? | 0 | 1/5 | 7 |
| Which platforms offer institutional crypto trading and custody? | 0 | 0/5 | — |
| What are the best OTC crypto platforms for institutions? | 0 | 0/5 | — |
| What are the best digital asset trading platforms for institutions? | 0 | 0/5 | — |
| Which institutional digital asset platforms are worth considering? | 0 | 0/5 | — |
| What are the top institutional-grade crypto exchanges? | 0 | 0/5 | — |
This report focuses on Institutional Crypto Trading Platforms because that is where Bullish 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.
Your Authority is low across category queries. Users asking about your category do not see you. Priority: get listed in "best of" and "top N" articles for your category on domains with strong training-data crawl presence.
+10 to +25 on AuthorityThe model knows your brand when asked directly (LBA > 0) but never volunteers you in category queries. You are outside the model's go-to list. Co-mention density with established category leaders is the single biggest lever: get listed in "Top 10 X" articles alongside the brands the model currently names.
+10 to +30 on TOM over 12-18 monthsThe 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 LBAOther brands in the Institutional Crypto Trading Platforms 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 4:14 AM
Click a prompt to expand its responses. 209 total responses across 72 prompts.