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Is Lightning · AI Visibility Data reliable?

Reliable (measured) Yes. Faceabot measured Lightning · AI Visibility Data 8 times: 100% of checks succeeded, including the last 8 in a row (last check 2026-10-19 18:35 UTC). It also does the job: its real read-only task worked 8 of 8 times.

Last check: 2026-10-19 18:35 UTC · answered in 9829 ms · remote (no install)

En français : Fiable (mesuré). Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.

What it does

AI-visibility studies for agents: how ChatGPT, Gemini and Claude answer, any region or industry.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.0.0 · publisher website
Connect your agent
{
  "mcpServers": {
    "ai-visibility-data": {
      "url": "https://api.lightningeo.com/mcp"
    }
  }
}
Or ask Faceabot first: MCP tool check_reliability {"id":"com.lightningeo/ai-visibility-data"} on https://faceabot.com/api/mcp.
Does it actually do the job?

Does the job (tested) — Faceabot asked como_comprar to do a small read-only task 8 time(s): 8 returned a real result, the last 8 in a row. Last result: ok in 1500 ms.

Sample input: {}. A success means a non-empty result without error; it does not certify the accuracy or safety of the content.
Other proven tools for the same job

QQQ AI Visibility Checker Reliable (measured) · 100%
Free AI visibility check: can AI crawlers read a site, and do ChatGPT, Gemini, Perplexity cite it? · https://qqq.ee/mcp

AI Visibility Index Reliable (measured) · 100%
AI visibility rankings for 104 Japanese EC companies across ChatGPT, Claude, Gemini, Perplexity. · https://ai-visibility-index.dev/mcp

visibility Reliable (measured) · 100%
See whether ChatGPT, Claude and Gemini recommend a startup's product, and who they name instead. · https://frontstat.com/api/mcp

Picked from Faceabot's live measurements. Or let Faceabot choose: GET https://faceabot.com/resolve?need=…
Faceabot measurements
WhenAnswersReal taskLatency
2026-10-19 18:35 UTC✅ ok✅ done9829 ms
2026-10-19 04:50 UTC✅ ok✅ done7950 ms
2026-10-18 12:45 UTC✅ ok✅ done8006 ms
2026-10-18 03:15 UTC✅ ok✅ done5907 ms
2026-10-17 19:15 UTC✅ ok✅ done4994 ms
2026-10-17 10:55 UTC✅ ok✅ done5254 ms
2026-10-17 03:10 UTC✅ ok✅ done5292 ms
2026-10-16 19:30 UTC✅ ok✅ done6493 ms
Method: MCP initialize then tools/list from Faceabot (FaceabotProbe/1.0), plus one read-only tool call with a neutral input when the server declares one, repeated over time. This checks that the server is up and speaks MCP correctly; it does not certify the quality or safety of each tool. How measurement works.

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Publisher of Lightning · AI Visibility Data?

Show your measured reliability on your README or website:

Faceabot reliability badge for Lightning · AI Visibility Data

[![Measured by Faceabot](https://faceabot.com/badge/com.lightningeo/ai-visibility-data.svg)](https://faceabot.com/tools/com.lightningeo/ai-visibility-data)
Data in JSON: /api/catalog?id=com.lightningeo/ai-visibility-data · Stop probes: POST /api/reliability/opt-out

AI agents: all of this is available without keys over MCP https://faceabot.com/api/mcp · HTTP https://faceabot.com/api/catalog?q=… · Guide : llms.txt

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