Design rigorous A/B tests with hypotheses, variants, metrics, and sample size calculations.
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Detect keyword cannibalization across blog posts by extracting primary keywords from titles and headings, clustering semantically similar targets, and flagging posts competing for the same search intent. Supports local-only mode (grep-based) and DataForSEO API mode (Page Intersection endpoint at ~$0.01/call). Outputs severity-scored report with merge or differentiate recommendations. Use when user says "cannibalization", "keyword overlap", "competing pages", "duplicate keywords", "cannibalize".
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설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Detect when multiple blog posts compete for the same search keywords. Two modes: local-only analysis (default) and DataForSEO API mode for SERP-level data.
| Mode | Flag | Cost | Data Source |
|---|---|---|---|
| Local | (default) | Free | File content analysis via Grep/Read |
| API | --api | ~$0.01/call | DataForSEO Page Intersection + Ranked Keywords |
Local mode works without any API keys. API mode requires DataForSEO credentials
set as environment variables: DATAFORSEO_LOGIN and DATAFORSEO_PASSWORD.
Use Glob to find all content files in the target directory:
**/*.md, **/*.mdx, **/*.htmlnode_modules/, .git/, drafts/For each file, read and extract keyword signals from:
Primary keyword extraction method:
Group posts into clusters using these matching rules (in priority order):
For each cluster with 2+ posts, assess severity and generate a recommendation.
Display the results table and per-cluster recommendations.
Requires the --api flag. Uses WebFetch to call DataForSEO endpoints.
Page Intersection - find keywords where multiple URLs rank:
POST https://api.dataforseo.com/v3/dataforseo_labs/google/page_intersection/live
Authorization: Basic <base64(login:password)>
{
"pages": {
"1": "https://example.com/post-a",
"2": "https://example.com/post-b"
},
"language_code": "en",
"location_code": 2840
}
Cost: ~$0.01 per call. Returns overlapping keywords with position, volume, CPC.
Ranked Keywords - get all keywords a single URL ranks for:
POST https://api.dataforseo.com/v3/dataforseo_labs/google/ranked_keywords/live
{
"target": "https://example.com/post-a",
"language_code": "en",
"location_code": 2840
}
Four severity levels based on overlap signals:
| Level | Criteria | Action Urgency |
|---|---|---|
| Critical | Same exact keyword, both pages in top 20 | Immediate |
| High | Same keyword cluster, one page outranks the other | This week |
| Medium | Related keywords with partial SERP overlap | This month |
| Low | Semantic similarity but different confirmed intents | Monitor |
severity_score = overlap_count x avg_search_volume x (1 / position_gap)
Where:
overlap_count = number of shared ranking keywordsavg_search_volume = mean monthly volume of shared keywordsposition_gap = absolute difference in average ranking position (min 1)Higher score = more urgent cannibalization problem.
Without SERP data, use a simplified scoring:
| Post A | Post B | Shared Keywords | Severity | Recommendation |
|--------|--------|-----------------|----------|----------------|
| /best-crm-tools | /top-crm-software | best crm, crm tools, crm software | Critical | MERGE |
| /email-tips | /email-marketing-guide | email marketing | High | DIFFERENTIATE |
| /seo-basics | /seo-for-beginners | seo basics, beginner seo | Critical | CANONICAL |
| /react-hooks | /react-state-mgmt | react, state | Low | NO ACTION |
For each flagged cluster, provide:
Four possible actions for each cannibalization cluster:
When both pages are thin or cover the same intent with similar depth.
When pages serve different intents but keyword targeting overlaps.
When one post is clearly the authority and the other is a lesser duplicate.
rel="canonical" on the weaker page pointing to the authorityWhen intent is genuinely different despite surface-level keyword similarity.
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Design rigorous A/B tests with hypotheses, variants, metrics, and sample size calculations.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "should I test this," "which version is better," "test two versions," "statistical significance," "how long should I run this test," "growth experiments," "experiment velocity," "experiment backlog," "ICE score," "experimentation program," or "experiment playbook." Use this whenever someone is comparing two approaches and wants to measure which performs better, or when they want to build a systematic experimentation practice. For tracking implementation, see analytics. For page-level conversion optimization, see cro.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Format CVs for academic positions with publications, grants, and teaching
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Conduct a comprehensive accessibility audit against WCAG guidelines with severity ratings and remediation steps.
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Create accessibility testing plans covering assistive technologies and WCAG criteria.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
When the user wants to generate, iterate, or scale ad creative — headlines, descriptions, primary text, or full ad variations — for any paid advertising platform. Also use when the user mentions 'ad copy variations,' 'ad creative,' 'generate headlines,' 'RSA headlines,' 'bulk ad copy,' 'ad iterations,' 'creative testing,' 'ad performance optimization,' 'write me some ads,' 'Facebook ad copy,' 'Google ad headlines,' 'LinkedIn ad text,' or 'I need more ad variations.' Use this whenever someone needs to produce ad copy at scale or iterate on existing ads. For campaign strategy and targeting, see ads. For landing page copy, see copywriting.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.