seo-keyword-ranking

seo-keyword-ranking is a skill for Claude Code, Codex from jrr996shujin-png/openclaw-seo-aeo-skills. It costs 93 tokens per session (1,521 once invoked), scanned A, original, MIT.

A keyword-ranking monitor for tracking a brand and its competitors in Google and Bing. It groups keywords by purpose and checks for important ranking drops.

In plain words
What is it for?
Use it to discover keywords, track brand, business, long-tail, and competitor-comparison terms, compare competitors, and receive alerts about ranking changes.
Why use it?
It removes the need to check search rankings by hand and highlights when important terms lose visibility.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to discover keywords, track brand, business, long-tail, and competitor-comparison terms, compare competitors, and receive alerts about ranking changes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jrr996shujin-png/openclaw-seo-aeo-skills/keyword-ranking
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add jrr996shujin-png/openclaw-seo-aeo-skills --skill keyword-ranking
Clone the repo
git clone --depth 1 https://github.com/jrr996shujin-png/openclaw-seo-aeo-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for seo-keyword-ranking

README.md
[![agentmods](https://agentmods.dev/badge/skills/jrr996shujin-png/openclaw-seo-aeo-skills/keyword-ranking/github.svg)](https://agentmods.dev/skills/jrr996shujin-png/openclaw-seo-aeo-skills/keyword-ranking)
Your own site
<a href="https://agentmods.dev/skills/jrr996shujin-png/openclaw-seo-aeo-skills/keyword-ranking"><img src="https://agentmods.dev/badge/skills/jrr996shujin-png/openclaw-seo-aeo-skills/keyword-ranking/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for seo-keyword-ranking

Your own site · 80×15
<a href="https://agentmods.dev/skills/jrr996shujin-png/openclaw-seo-aeo-skills/keyword-ranking"><img src="https://agentmods.dev/badge/skills/jrr996shujin-png/openclaw-seo-aeo-skills/keyword-ranking.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 93 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,521 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00093 $0.01521
Opus 5 $0.00046 $0.00760
Sonnet 5 $0.00019 $0.00304
Haiku 4.5 $0.00009 $0.00152

Measured 12d ago against content hash efbe667710fb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

seo-keyword-ranking scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

seo-competitive-intel/keyword-ranking/SKILL.md · 143 lines

How it starts

The opening of the file, as written. The whole thing — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.

关键词 & 排名追踪模块

核心功能

追踪品牌和竞品在 Google 与 Bing 上的关键词排名,发现排名波动,及时报警。

关键词分组管理

关键词按 4 个类别管理,每个类别的监测逻辑和报警阈值不同:

类别 A:品牌词

自己的公司名、产品名及变体。这些词你理应排第一,掉了就是出问题了。

示例: "Genspark"、"Genspark AI"、"Genspark agent" 报警阈值: 排名掉出前 3 位 监测频率: 每周 数据源: SEMrush Position Tracking API

类别 B:核心业务词

描述你的产品类别和核心功能的词。竞争最激烈的主战场。

示例: "best AI agent"、"AI productivity tool"、"AI email assistant" 报警阈值: 排名下降 5 位以上 监测频率: 每周 数据源: SEMrush Position Tracking API + Google Search Console(真实曝光/点击数据交叉验证)

类别 C:长尾问题词

用户实际搜索的对话式长问题,对 AEO 特别重要。

示例: "what AI tool can automatically reply to customer emails"、"how to use AI agent for small business" 报警阈值: 排名掉出首页(第 10 位以外) 监测频率: 每周 数据源: SEMrush + Google Search Console 来源补充: 可从 aeo-content-strategy skill 的长尾问题挖掘结果导入

类别 D:竞品对比词

包含竞品名称的对比搜索,用户正在做购买决策时常搜的。

示例: "Genspark vs Manus"、"Genspark vs ChatGPT for business"、"Manus alternative" 报警阈值: 排名下降 5 位以上 监测频率: 每周 数据源: SEMrush Position Tracking API

执行流程

1. 关键词列表初始化

首次运行时,如果用户没有现成的关键词列表:

自动发现流程:

  1. 调用 SEMrush Domain Organic Research API(/analytics/v1/domain/organic),输入品牌域名,获取当前已有排名的所有关键词
  2. 同样调用竞品域名,获取竞品的关键词
  3. 调用 SEMrush Keyword Gap API(/analytics/v1/domain/keywords/gap),找出"竞品有排名但品牌没有"的词
  4. 从 Google Search Console API 拉取过去 90 天的搜索查询数据,补充 SEMrush 没发现的长尾词
  5. 将所有关键词自动归类到 A/B/C/D 四组

归类规则:

  • 包含品牌名 → 类别 A
  • 词长 ≤ 5 词且为名词短语 → 类别 B
  • 词长 > 5 词或问句形式 → 类别 C
  • 包含竞品名或 "vs" / "alternative" / "compare" → 类别 D

归类后展示给用户确认和调整,用户可以随时添加、删除或重新分类关键词。

2. 排名数据拉取

Google 排名(主要):

  • SEMrush Position Tracking API:设置项目,追踪所有关键词在 Google 上的每日排名
  • Google Search Console API(/searchanalytics/query):获取真实曝光、点击、平均排名、CTR

Bing 排名:

  • SEMrush Position Tracking API 支持 Bing 追踪:在项目设置中添加 Bing 作为搜索引擎
  • 特别标注 Bing 排名对 AEO 的意义——ChatGPT Search 使用 Bing 索引,Bing 排名直接影响 AI 搜索可见性

3. 竞品排名对比

对每个关键词,同时拉取:

  • 品牌排名位置
  • 竞品 1 排名位置
  • 竞品 2 排名位置(如有)

生成对比视图:

关键词: "best AI agent"
         Google    Bing
我们:     #7       #12
竞品A:    #3       #5
竞品B:    #15      #8
趋势:     ↓2       ↑3(vs 上周)

Read the full file on GitHub · 143 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 143 lines · 93 tokens per session scan A efbe667710fb

Subscribe to this mod's changes

seo-keyword-ranking is a skill published in the GitHub repository jrr996shujin-png/openclaw-seo-aeo-skills (11 stars, last pushed 6mo ago), licensed MIT. It adds 93 tokens to every session and 1,521 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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