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Mentions Discover

该技能在用户明确要求为品牌建立 AI 可见性追踪查询集时,调用 MentionsAPI 的 discover_queries 工具,输入品牌、可选行业与返回数量,输出按信息、商业、对比意图分类的候选查询及费用信息;每次调用计费 0.50 美元,需配置 API 密钥。

nikhonit
nikhonit
热度 38.30
最近更新 2026-06-08 13:54:55
分类:营销依赖:第三方 API应用场景:市场分析 / 研究 / 推荐

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add mentions-discover
Metadata
name
mentions-discover
version
1.0.0
description
Discover the queries worth tracking for a brand's AI visibility — informational, commercial, and comparison-intent prompts — via MentionsAPI.com. One tool, minimum surface area.
license
MIT-0
author
MentionsAPI
homepage
https://mentionsapi.com
repository
https://github.com/nikhonit/llm-mentions-skills
tags
["mentionsapi","geo","ai-visibility","keyword-research","brand-monitoring","api","mcp"]
metadata
{"openclaw":{"primaryEnv":"MENTIONSAPI_KEY","homepage":"https://mentionsapi.com","requires":{"env":["MENTIONSAPI_KEY"]}}}

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 https://mentionsapi.com/signup — 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

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.