
Cited AI Visibility Check
io.github.impowerdlifestyle-codev0.1.0更新於 Oct 1, 2026
Check whether ChatGPT, Perplexity and Gemini recommend a business. By Cited (cited.voreli.ai)
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Cited AI Visibility Check,將其新增到工作區。
- 為需要使用其工具的對話啟用該服務。
Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。
其他 MCP 客戶端
參照 儲存庫 中的啟動說明。
README
Cited AI Visibility Check (MCP server)
Ask ChatGPT, Perplexity and Gemini the questions your customers ask, with live web search on, and see whether they recommend your business.
By Cited, the AI visibility tracker from Voreli AI.
cited-mcp is an open-source Model Context Protocol server. Add it to Claude Desktop, Claude Code, Cursor or any MCP client, then ask something like:
Check whether AI engines recommend Sunshine Dental (sunshinedental.com) for family dentist questions in Tampa, FL.
For every question and engine it reports:
- whether the business was named in the answer
- its position if the answer was a list
- whether its website was cited as a source
- which competitors were named
- the source domains the engine leaned on
- an estimated cost for the call, from token usage at list prices
Tool
check_ai_visibility
Name matching ignores case and punctuation, treats & and and as the same, drops legal suffixes such as LLC, Inc and Co, and also counts a mention of your website domain. Website citation matches the domain and its subdomains against every URL the engine cited.
Install
You bring your own API keys and pay each provider directly. Set any one, two or all three; engines without a key are skipped with a note.
Claude Desktop
Edit claude_desktop_config.json (Settings, Developer, Edit Config):
Claude Code
Cursor
Add to ~/.cursor/mcp.json (or .cursor/mcp.json in a project):
Any other MCP client works the same way: run npx -y cited-mcp over stdio with the keys in its environment. Node 20 or newer.
Environment variables
The API versions of these engines are close to, but not the same as, the consumer apps. ChatGPT, Perplexity and Gemini in the browser can use different models, personalization and location signals.
Example output
This is the tool's real output format, run against the sample responses in test/fixtures, which follow each provider's documented response format (the businesses are made up):
The tool also returns the same data as structured JSON (structuredContent) for clients that use it.
Cost
There is no Cited fee and no account. Each question is one API call per engine, billed to your own provider account at their list prices (checked October 2026):
In practice that is a few cents or less per question per engine, so a default check (5 questions on 3 engines, 15 calls) should land well under a dollar. Every result includes an estimate computed from the token counts the provider returned. It does not include Gemini grounding fees past the free daily allowance. Check your provider dashboard for the exact charge. Prices change; see OpenAI, Perplexity and Gemini.
Run one live check
Uses whichever of OPENAI_API_KEY, PERPLEXITY_API_KEY and GEMINI_API_KEY are set. Override the target with BUSINESS, WEBSITE, LOCATION and QUESTION. A single check costs a few cents.
Limitations
- Answers vary from run to run. In our Tampa Bay AI Search Study 2026, we asked ChatGPT the same 12 questions twice. On average the two answers shared 11% of the businesses they named, and on 6 of the 12 questions they shared none. One check is a snapshot. Trends need repeated checks over time.
- API is not the app. Results approximate what people see in the consumer apps; they are not identical.
- Competitor names are pulled heuristically from list items, headings and bold text. Expect the odd miss or stray phrase. The answer excerpt is included so your assistant can read it directly.
- Name matching is fuzzy, not magic. A nickname or abbreviation the engine uses (for example "SDI" for Sunshine Dental & Implants) will not match unless you pass it as the business name.
- Location. The engines infer location from the question text, so put the city in the question.
Tracking it over time
This server answers "are we named today?". Cited runs the same questions every week across engines, stores the history, and shows which competitors and sources are winning so you can see whether your work is moving the number.
Development
To try it with the MCP Inspector: npx @modelcontextprotocol/inspector node dist/index.js.
License
MIT. Built by Voreli AI. Questions or ideas: open an issue, or visit cited.voreli.ai.
來源:README.md,提交 4bdf2d5
工具
0版本歷史
1- v0.1.0最新Oct 1, 2026
