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Mentions Discover

Discover the queries worth tracking for a brand's AI visibility — informational, commercial, and comparison-intent prompts — via MentionsAPI.com. One tool, m...
使用 MentionsAPI.com 发现品牌 AI 可视性值得追踪的查询,包括信息型、商业型和比较型意图提示。
nikhonit nikhonit 来源
未分类 clawhub v1.0.2 1 版本 100000 Key: 需要
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概述

mentions-discover

Focused query-discovery skill. Use only when the user explicitly asks what prompts or questions they should be tracking for a brand's AI visibility — the starting query set for a GEO/monitoring program.

When to use this skill

DO use when the user asks:

  • "What queries should I track for Linear?"
  • "Which prompts should I monitor to measure my AI visibility?"
  • "Give me the commercial-intent questions buyers ask in the project-management space"
  • "What comparison queries mention my competitors?"

Do NOT use when:

  • The user already has a specific query and wants to check it — use mentions-check instead
  • A brand is mentioned in passing without a request to build a tracking set
  • The user has not signaled they want query suggestions

This call costs $0.50. Confirm the brand (and industry, if known) before calling.

Tools

discover_queries — $0.50 per call

Return a ranked set of candidate queries to track for a brand, spanning informational, commercial, and comparison intents.

Arguments:

  • brand (required) — the brand to generate tracking queries for, e.g. "Linear"
  • industry — optional context to sharpen suggestions, e.g. "project management software"
  • count — how many queries to return, 1–100 (default 50)

Example response:

{
  "brand": "Linear",
  "candidates": [
    { "query": "best project management tool for engineers", "intent": "commercial" },
    { "query": "Linear vs Jira",                              "intent": "comparison" },
    { "query": "what is Linear used for",                     "intent": "informational" }
  ],
  "cost_cents": 50,
  "balance_after_cents": 50
}

Feed the returned query strings into mentions-check (or mentions-full's check_mentions) to measure visibility, or into watch to monitor them over time.

Authentication

Set MENTIONSAPI_KEY to your MentionsAPI key (format lvk_live_...). Free key with $1 credit at — no card.

Pricing

Pay-as-you-go. No subscriptions, no monthly tiers, credits never expire. $1 free signup credit, $5 minimum top-up. discover_queries is $0.50 per call regardless of count. Failed calls are not billed.

Errors

Every call returns a Python dict. On success it's the API response; on failure it has an error key (auth_required, auth_invalid, insufficient_balance, rate_limit_exceeded, network). See the full skill for the complete error contract.

API reference

  • Endpoint reference:
  • OpenAPI spec:
  • Hosted MCP server (alternative to this skill): npx @mentionsapi/mcp

Independence and trademarks

MentionsAPI is an independent service and is not affiliated with, endorsed by, or sponsored by OpenAI, Anthropic, Google, Microsoft, or Perplexity. All product names are the property of their respective owners.

版本历史

共 1 个版本

  • v1.0.2 当前
    2026-06-09 19:00

安全检测

腾讯云安全 (Keen)

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腾讯云安全 (Sanbu)

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