ai.dabyte/visibility-index

up checked 2026-11-11T05:37:31.396Z

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Publisher-provided title

DABYTE AI Visibility Index

Publisher-provided description

Measured share of answer for 20 SaaS brands. An open dataset, not an audit of your site.

Summary by lookupd

Returns measured AI answer-share and rank data for 20 SaaS brands, with weekly history and scoring methodology.

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http visibility-index https://dabyte.ai/mcp

Codex, remote (streamable-http)

codex mcp add visibility-index --url https://dabyte.ai/mcp

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "visibility-index": {
      "url": "https://dabyte.ai/mcp"
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Publisher-provided text

get_visibility_index The whole current release in one call: every tracked brand in SaaS & AI tools with its rank, share of answer overall and per engine, commercial intent and quadr
get_brand_visibility One brand's standing in the current DABYTE release: share of answer per engine, rank, quadrant, how many panel prompts name it, and which ones. Use this when a
list_tracked_brands The names and slugs of every brand in the DABYTE index — a lookup table, nothing else. No scores, no ranks. Use it for two things: to turn a brand name into th
get_history Every DABYTE release ever published, as a series per brand: share of answer at each weekly measurement with the date and panel version it was taken under. Use
get_methodology The rules behind every figure this server returns: the exact prompt panel and its version, which engines were measured, how share of answer is scored and rounde

Shows this live status and links here; updates hourly.

[![lookupd status](https://lookupd.com/badge/ai.dabyte/visibility-index.svg)](https://lookupd.com/servers/ai.dabyte/visibility-index)