DABYTE AI Visibility Index
Measured share of answer for 20 SaaS brands. An open dataset, not an audit of your site.
Open source Repository Open in the app JSON README (API)
About
Measured share of answer for 20 SaaS brands. An open dataset, not an audit of your site.
Details
- Kind
- MCP servers
- Topic
- Government & public data
- Publisher
- ai.dabyte
- Origin
- official
- Category
- ferramentas
- Transport
- http
- Version
- 1.0.1
- Last push
- 2026-09-08T11:10:45Z
- Repository state
- ativo
- Language
- Python
- License
- MIT
- Added
- 2026-08-29 03:00:10
- Updated
- 2026-08-29 03:00:10
- Origin id
ai.dabyte/visibility-index
README
# 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](https://vectory.space) on two data desks: | Site | Niche | Brands | Live data | |---|---|---|---| | **[dabyte.ai](https://dabyte.ai/)** | SaaS & AI tools | 20 | [aiv.json](https://dabyte.ai/api/aiv.json) · [history](https://dabyte.ai/api/history.json) · [CSV](https://dabyte.ai/aiv.csv) | | **[dablock.ai](https://dablock.ai/)** | Crypto & Web3 | 24 | [aiv.json](https://dablock.ai/api/aiv.json) · [history](https://dablock.ai/api/history.json) · [CSV](https://dablock.ai/aiv.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](https://dabyte.ai/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](https://dabyte.ai/methodology/)). - **Every past measurement is archived verbatim** at a permanent URL ([dabyte archive](https://dabyte.ai/archive/), [dablock archive](https://dablock.ai/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](https://modelcontextprotocol.io) 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: ```bash docker build -t aiv-mcp . && docker run -p 8090:8090 aiv-mcp ``` Tool reference and client setup: [`mcp-server/README.md`](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](https://vectory.space); 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](https://dabyte.ai/contribute/) and [dablock.ai/contribute](https://dablock.ai/contribute/). Contributing never affects a score in the index.