DABLOCK DATA DESK · Crypto & Web3
AI Visibility Index: which Crypto & Web3 brands do answer engines actually name?
Answer. Across a fixed panel of 16 category buyer prompts on 2 AI engines, Coinbase leads with 28.1% share of answer, followed by Binance (25.0%) and Kraken (21.9%). The headline finding is the gap, not the ranking: 11 of 24 tracked brands combine high commercial intent with low visibility — they are largely absent from the answers their own buyers receive. Measured 2026-07-28 by DABLOCK.
Last measured · re-measured monthly · engines: openai, perplexity · methodology
The index — share of answer by brand
Each cell is the share of the 16-prompt panel in which that engine named the brand. Click a brand for its own page with per-prompt detail.
| # | Brand | Visibility | openai | perplexity | Intent | Quadrant |
|---|---|---|---|---|---|---|
| 1 | Coinbase | 28.1% | 31.2% | 25.0% | 88 | Niche (visibility gap) |
| 2 | Binance | 25.0% | 18.8% | 31.2% | 86 | Niche (visibility gap) |
| 3 | Kraken | 21.9% | 25.0% | 18.8% | 84 | Niche (visibility gap) |
| 4 | Ledger | 21.9% | 18.8% | 25.0% | 82 | Niche (visibility gap) |
| 5 | Trezor | 15.7% | 12.5% | 18.8% | 78 | Niche (visibility gap) |
| 6 | Arbitrum | 15.7% | 18.8% | 12.5% | 48 | Low performance |
| 7 | MetaMask | 15.6% | 6.2% | 25.0% | 62 | Low performance |
| 8 | Polygon | 12.5% | 12.5% | 12.5% | 50 | Low performance |
| 9 | CoinTracker | 12.5% | 12.5% | 12.5% | 84 | Niche (visibility gap) |
| 10 | Lido | 9.3% | 6.2% | 12.5% | 55 | Low performance |
| 11 | CoinMarketCap | 9.3% | 6.2% | 12.5% | 52 | Low performance |
| 12 | OpenZeppelin | 9.3% | 6.2% | 12.5% | 76 | Niche (visibility gap) |
| 13 | Koinly | 9.3% | 12.5% | 6.2% | 86 | Niche (visibility gap) |
| 14 | Phantom | 6.2% | 6.2% | 6.2% | 58 | Low performance |
| 15 | Uniswap | 6.2% | 6.2% | 6.2% | 60 | Low performance |
| 16 | Aave | 6.2% | 6.2% | 6.2% | 58 | Low performance |
| 17 | OpenSea | 6.2% | 6.2% | 6.2% | 57 | Low performance |
| 18 | CoinGecko | 6.2% | 6.2% | 6.2% | 52 | Low performance |
| 19 | Chainalysis | 6.2% | 6.2% | 6.2% | 90 | Niche (visibility gap) |
| 20 | CertiK | 6.2% | 0.0% | 12.5% | 80 | Niche (visibility gap) |
| 21 | DefiLlama | 3.1% | 6.2% | 0.0% | 40 | Low performance |
| 22 | Dune Analytics | 0.0% | 0.0% | 0.0% | 62 | Low performance |
| 23 | Etherscan | 0.0% | 0.0% | 0.0% | 38 | Low performance |
| 24 | MoonPay | 0.0% | 0.0% | 0.0% | 74 | Niche (visibility gap) |
A brand at 25% was named in one answer out of four. Engines name only a few sources per response, so mid-table positions move faster than the leaders — which is why this index is re-measured monthly rather than published once.
Where the gaps are
Brands placed by visibility against commercial intent. A “visibility gap” means buyers are actively asking and the brand is not in the answer.
- Low performance — 13 of 24: Arbitrum, MetaMask, Polygon, Lido, CoinMarketCap, Phantom, Uniswap, Aave, OpenSea, CoinGecko, DefiLlama, Dune Analytics, Etherscan
- Niche (visibility gap) — 11 of 24: Coinbase, Binance, Kraken, Ledger, Trezor, CoinTracker, OpenZeppelin, Koinly, Chainalysis, CertiK, MoonPay
Questions
What does this index measure?
Share of answer: how often each brand is named by AI assistants across a fixed panel of 16 category buyer prompts on 2 engines (openai, perplexity). A score of 40% means the brand was named in 40% of the panel's answers on that engine.
Which brand is most visible in AI answers?
In the 2026-07-28 measurement, Coinbase leads the DABLOCK index with 28.1% share of answer, ahead of Binance (25.0%). Even the leader is absent from most category answers.
Why are well-known brands invisible in AI answers?
Answer engines name only a handful of sources per response, and that selection is driven by retrievable, structured, current evidence rather than brand size or ad budget. Here 11 of 24 tracked brands sit in a visibility gap: high commercial intent, low share of answer.
How often is the index updated?
Monthly. Every re-measurement re-runs the full prompt panel on every engine and rebuilds this site from the resulting dataset, so published numbers and machine-readable files never drift apart.
Can I reuse these numbers?
Yes — CC BY 4.0. Cite as: “DABLOCK AI Visibility Index, 2026-07-28, dablock.ai”. Machine copies: /api/aiv.json, /aiv.csv, /index.md.