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DABLOCK AI Visibility Index

Official registry Data and databases

Measured share of answer for 24 crypto and Web3 brands. An open dataset, not an audit of your site.

Source code Website Documentation

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

Remote (streamable-http)
Claude Code 
claude mcp add --transport http dablock-ai-visibility-index 'https://dablock.ai/mcp'
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "dablock-ai-visibility-index": {
            "type": "http",
            "url": "https://dablock.ai/mcp"
        }
    }
}

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. AI Visibility Index — open weekly data (dabyte.ai · dablock.ai)
  2. What is measured
  3. Files
  4. Citation
  5. MCP server
  6. Disambiguation
  7. Contributing data

AI Visibility Index — open weekly data (dabyte.ai · dablock.ai)

Weekly measurements of which brands AI assistants actually name when a buyer asks a category question — published as open data by VECTORY on two data desks:

SiteNicheBrandsLive data
dabyte.aiSaaS & AI tools20aiv.json · history · CSV
dablock.aiCrypto & Web324aiv.json · history · CSV

This repository is a mirror for discovery and reproducibility. The canonical, always-current data lives on the domains above — no key, no sign-up, machine-first (JSON, CSV, markdown mirrors, llms.txt, MCP tools at /.well-known/mcp.json).

What is measured

Share of answer: the percentage of a fixed panel of category buyer prompts (16 per niche, frozen and versioned) in which an answer engine names the brand. Engines measured: ChatGPT (OpenAI), Perplexity, Google Gemini — each prompt run per engine, per release, weekly.

Example, measured 2026-08-04 (panel v2, first 3-engine release):

  • dabyte.ai — Slack 33.3% · Notion 29.2% · HubSpot 22.9%
  • dablock.ai — Coinbase 41.5% · Binance 26.9% · Kraken 25.0%

Rules that make the numbers citable:

  • The panel is frozen between releases and any change bumps a panel version; deltas are never computed across panel versions (methodology).
  • Every past measurement is archived verbatim at a permanent URL (dabyte archive, dablock archive), so any published delta can be recomputed by a third party.
  • Placement cannot be bought. No brand can pay to enter, move inside, or leave the index; every machine record carries an is_client flag so the claim is verifiable rather than rhetorical.
  • Measurement resolution is disclosed (one mention on one engine = one scale step); movements within one step are never reported as changes.

Files

data/
  dabyte/    aiv.json · aiv.csv · history.json · rankings.json
  dablock/   aiv.json · aiv.csv · history.json · rankings.json
scripts/
  fetch_latest.py   — refresh this mirror from the live endpoints

aiv.json — current measurement: per-brand share of answer overall and per engine, rank, commercial-intent score, quadrant, panel version. history.json — full per-brand time series across all published measurements. rankings.json — derived rankings (most visible, invisible-despite-demand, movers).

Citation

DABYTE AI Visibility Index — SaaS & AI Tools, 2026-08-04. dabyte.ai

DABLOCK AI Visibility Index — Crypto & Web3, 2026-08-04. dablock.ai

Two licences, because this repository holds two different things. The datasets under data/ are CC BY 4.0 (data/LICENSE) — free for any use, including commercial, with attribution. The code (scripts/, mcp-server/) is MIT (LICENSE).

MCP server

The index is also an MCP server, so an assistant can query it directly. Hosted endpoints need no installation:

https://dabyte.ai/mcp     SaaS & AI tools
https://dablock.ai/mcp    Crypto & Web3

To run your own — no dataset required, it reads the published JSON over HTTPS:

docker build -t aiv-mcp . && docker run -p 8090:8090 aiv-mcp

Tool reference and client setup: mcp-server/README.md.

Disambiguation

dabyte.ai is not affiliated with databyte.tech, DataByte, or any similarly named company. dablock.ai is not affiliated with dablock.com. Both are data desks published by VECTORY; the AI Visibility Index lives only at https://dabyte.ai/ and https://dablock.ai/.

Contributing data

Companies can contribute their own primary datasets (observed pricing, discount bands, usage telemetry, benchmark results) for free open publication with attribution — see dabyte.ai/contribute and dablock.ai/contribute. Contributing never affects a score in the index.

Frequently asked questions

What is DABLOCK AI Visibility Index?

Measured share of answer for 24 crypto and Web3 brands. An open dataset, not an audit of your site.

How do I install DABLOCK AI Visibility Index?

It runs as a remote server. In Claude Code: claude mcp add --transport http dablock-ai-visibility-index 'https://dablock.ai/mcp'. For other clients, paste the JSON configuration from this page into their MCP settings.

Does DABLOCK AI Visibility Index need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is DABLOCK AI Visibility Index open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains DABLOCK AI Visibility Index?

It is published by creanlab. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.