Mcp Ai Answer Visibility Tracker

com.mambabuilt由 mambabuilt.com 发布v1.0.1更新于 Nov 7, 2026

Whether AI Overviews, ChatGPT, Claude, Perplexity, and Gemini name and cite a brand.

概览

AI 生成的概览

检查 Google AI Overviews、ChatGPT、Claude、Perplexity 和 Gemini 的回答是否提及并引用某品牌,针对买家常问的问题。

可以做什么
  • 针对一组买家问题,对某个品牌执行一次可见度检查
  • 在每个引擎上把每个问题重复提问多次,记录品牌是否被提及或引用、首次提及排名以及出现了哪些竞品
  • 获取按问题汇总的提及率与引用率、置信区间、最常被引用的域名和竞品数据,以及按引擎的品牌汇总
  • 可选对比最多 20 个竞品和品牌别名,并设置最高费用上限来限制单次运行
适用场景
适合市场、SEO 或品牌团队了解 AI 助手在买家真实提问中提及和链接自家品牌的频率,并与竞品比较。更适合定期做可见度跟踪,而非一次性查询。
运行要求
通过 npx 在本地运行,需要 Node.js 18 或更高版本。需要 Apify 账号和 APIFY_TOKEN;没有令牌时工具仍会列出,但调用需要它。可选的 OPENAI_API_KEY、ANTHROPIC_API_KEY、PERPLEXITY_API_KEY 或 GEMINI_API_KEY 用于启用对应引擎;Google AI Overviews 无需密钥。需要访问 Apify 和各模型厂商的网络。
安装前请注意
运行按事件计费,计入你的 Apify 账号;使用自有密钥的模型调用由各厂商计费,可用 max_charge_usd 限制单次费用。该服务器从环境变量读取多个 API 密钥并作为密钥字段传入 Apify 运行,配置文件应视为敏感信息。问题与品牌信息会发送到 Apify,使用非 Google 引擎时还会发送给相应模型厂商。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Mcp Ai Answer Visibility Tracker,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

README

AI Answer Visibility Tracker MCP Server

[Glama score] [MCP Registry] [npm version] [npm downloads] [license] [mcpservers.org]

[AI Answer Visibility Tracker MCP server]

An MCP server for the Mamba Labs AI Answer Visibility Tracker actor on Apify. Give it a brand and the questions its buyers ask. Each question is asked several times on Google AI Overviews and, on your own API keys, on ChatGPT, Claude, Perplexity, and Gemini, and every answer is checked for the brand.

What's Inside

What it does

  • Sample rows: one row per answer, with brand_named, brand_cited, first_mention_rank, competitors_named, competitors_cited, cited_domains, and an answer excerpt.
  • Rates rows: one question_summary row per question and engine, with brand_named_rate, brand_cited_rate, a 95 percent range for the named rate, the top cited domains, and each competitor's rates. One free brand_summary row per engine covers all questions.
  • Google AI Overviews with no key: shown, not_shown (no overview on the page), or deferred (Google writes the overview live and loads it after the page; free and left out of the rates).

Bad input returns one free row whose error_reason starts with input_invalid:.

All of the work runs on Apify. This package is a thin client that starts the actor run, waits for it, and hands back the dataset rows.

Quick start

You need Node.js 18 or newer and an Apify account with an API token.

Add this to your Claude Desktop config (claude_desktop_config.json), Cursor, or any MCP client:

json
{  "mcpServers": {    "mamba-ai-answer-visibility-tracker": {      "command": "npx",      "args": [        "-y",        "@mambalabsdev/mcp-ai-answer-visibility-tracker"      ],      "env": {        "APIFY_TOKEN": "your-apify-token"      }    }  }}

Restart the client. The track_ai_answer_visibility tool appears.

To ask ChatGPT, Claude, Perplexity, or Gemini as well, add that vendor's key to the same env block: OPENAI_API_KEY, ANTHROPIC_API_KEY, PERPLEXITY_API_KEY, or GEMINI_API_KEY.

Prerequisites

  • Node.js 18 or newer.
  • An Apify API token from console.apify.com/account/integrations, set as APIFY_TOKEN. The server lists its tool without a token; a call needs one.
  • Optional: your own OpenAI, Anthropic, Perplexity, or Google AI Studio key for those engines.

Example prompts

  • "Does Google's AI Overview mention HubSpot for best crm for small business? Ask 3 times."
  • "For these 10 questions, how often do AI answers name Attio, and how often do they name HubSpot and Pipedrive?"
  • "Which sites do AI Overviews cite most for best wiki tool for a remote team?"

Tool

track_ai_answer_visibility. One tool. Example arguments:

json
{  "brand_name": "HubSpot",  "brand_domain": "hubspot.com",  "questions": [    "best crm for small business"  ],  "samples": "3",  "competitors": [    "Pipedrive|pipedrive.com",    "zoho.com"  ]}

Inputs

Every buyer facing input of the actor except the four engine keys, which come from the server environment so they never pass through the conversation. Omitted inputs take the actor's own defaults. Numbers and booleans are sent as strings.

InputTypeDescription
brand_namestringRequired. The brand to look for, as people write it. Matched as a whole word, any case
questionsarrayRequired. 1 to 50 questions buyers ask
brand_domainstringThe brand domain, such as hubspot.com. A cited page on it, or on a subdomain, counts as cited
enginesarrayAny of google_ai_overview, openai, anthropic, perplexity, gemini. Default google_ai_overview
samplesstringAsks per question per engine, 1 to 10. Default 3
competitorsarrayUp to 20, as a name, a domain, or name|domain
brand_aliasesarrayOther ways answers write the brand
country, languagestringFor Google. Default us, en
include_answer_textstringtrue (default) or false
openai_model, anthropic_model, perplexity_model, gemini_modelstringDefaults gpt-5-mini, claude-sonnet-5-5, sonar, gemini-2.5-flash
max_charge_usdstringOptional. The run stops before it would charge more than this

Pricing

Pay per event on Apify, billed to your Apify account. Prices in USD.

EventFree planBronzeSilverGold
ai-overview-sample, one Google result page read for one question$0.0316$0.03002$0.02844$0.02686
answer-sample, one answer from ChatGPT, Claude, Perplexity, or Gemini on your own key$0.009$0.00855$0.0081$0.00765
question-summary, one rates row per question and engine$0.003$0.00285$0.0027$0.00255
apify-actor-start, per run start$0.001082$0.001082$0.001082$0.001082

Deferred Google samples, blocked pages, engine errors, the brand rates rows, and refused input are free.

Your keys

Google AI Overviews needs no key. ChatGPT, Claude, Perplexity, and Gemini run on your own API key, read from this server's environment and passed in the run input as a secret field. The actor sends a key only to that vendor's API and never logs, stores, or returns it. The model use is billed to you by that vendor. Mamba Labs pays the Apify platform and proxy costs of the run.

Full actor documentation

apify.com/mambalabs/ai-answer-visibility-tracker

License

MIT. See LICENSE.

来源:README.md,提交 daacd4a

工具

1

track_ai_answer_visibility

Track brand visibility in AI answers

Check whether AI answers name and cite a brand for the questions its buyers ask. Give brand_name, brand_domain, and questions (for example "best crm for small business"). Each question is asked samples times (default 3) on each engine: google_ai_overview needs no key; openai (ChatGPT), anthropic (Claude), perplexity, and gemini run on the caller's own API keys, which this server reads from its environment (OPENAI_API_KEY, ANTHROPIC_API_KEY, PERPLEXITY_API_KEY, GEMINI_API_KEY). Returns one sample row per answer (brand_named, brand_cited, first_mention_rank, competitors_named, cited_domains, answer_excerpt), one question_summary row per question and engine (brand_named_rate, brand_cited_rate with a 95 percent range, top_cited_domains, competitor rates), and one free brand_summary row per engine. Bad input returns one free row whose error_reason starts with input_invalid. A run that does not succeed is returned as an error with its run ID. Read-only; requires an APIFY_TOKEN; Apify charges per Google sample, per engine sample, and per question rates row.

输入参数countryenginessampleslanguagequestions必填brand_name必填competitorsbrand_domaingemini_modelopenai_modelbrand_aliasesmax_charge_usd另有 3 个

版本历史

2
  1. v1.0.1最新Nov 5, 2026
  2. v1.0.0Oct 29, 2026

评分

已满足适用检查项的 90%

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