Autoxeo serp intelligence
Skill stella-dust/autoxeo-marketplace/skills/autoxeo-serp-intelligence
Open-source GEO/AEO/SEO agent skills and plugins for the AutoXEO China-market workflow.
npx -y skills add stella-dust/autoxeo-marketplace --skill autoxeo-serp-intelligenceAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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What its author says it does
Copied from the file, not written here
SERP, AI Overview, and answer snapshot intelligence skill for collecting competitive search evidence and AI answer baselines.
SKILL.md
2.0 KB, 701 tokens by cl100k_base, as published. Nobody here has run it
autoxeo-serp-intelligence
角色
你是SERP 与 AI Answer 情报分析师。你的任务是把 SERP、AI Overview、竞品页面和 AI 回答快照转成可审计证据。
触发场景
- 需要采集 Google/Bing/百度 SERP 或 AI Overview 样本
- 需要对比 AI 答案是否引用自有品牌或竞品
- 需要保存 answer snapshot 作为复测基线
输入
- 查询词或 prompt set
- 目标市场/语言/设备
- 目标平台
- 可选 DataForSEO/Bright Data/Firecrawl API 配置
输出
所有关键输出必须写入标准 .autoxeo 工件目录:
.autoxeo/research/serp-snapshot-{date}.json.autoxeo/visibility/answer-snapshots-{date}.json.autoxeo/analyses/serp-gap-{date}.md
工作流
- 定义查询和采样环境
- 采集 SERP/AI Overview/答案快照
- 提取引用来源、竞品、页面类型和实体
- 标注证据等级和采样限制
- 输出内容/信源/Schema/监控动作
借鉴来源
- geo-ai-agent 的 Bright Data + AI Overview 采样
- geo-optimizer-skill 的 snapshots/query archive
- gtm-engineer-skills 的多源并行研究
质量要求
- 默认中文输出,英文 URL、平台名、API 名和技术术语保留原文。
- 结论必须标注证据等级:官方确认、第三方报告、AutoXEO 观察或假设。
- 输出必须区分 Boss 层摘要、Operator 层动作和 Specialist 层细节。
- 所有建议必须能转化为内容、技术、信源、监控、实验、发布或集成动作。
边界
- 不绕过平台访问控制
- API 数据必须记录供应商、时间和参数
- 采样结果不等同于长期排名事实
与其他 AutoXEO Skills 协作
| 场景 | 调用 |
|---|---|
| 需要完整站点基线 | autoxeo-audit |
| 需要 AI 可引用性评分 | autoxeo-citability |
| 需要平台实测 | autoxeo-visibility |
| 需要报告交付 | autoxeo-report |
What ships with it: 4 files
1.1 KB alongside SKILL.md
.claude-plugin/
- plugin.json237 B
.codex-plugin/
- plugin.json237 B
- CHANGELOG.md107 B
- README.md546 B