seo-cannibalization-detector

seo-cannibalization-detector is an agent for Claude Code from NOMARJ/sigil. It costs 39 tokens per session (781 once invoked), scanned A, original, Apache-2.0.

A content-review tool that compares several provided web pages for overlapping keywords, topics, search goals, titles, descriptions, and sections. Keyword cannibalization is when pages compete with each other for the same search traffic.

In plain words
What is it for?
Use it to compare related pages, find duplicate or conflicting content, map distinct keywords, suggest different angles, and identify possible consolidations.
Why use it?
It helps reveal pages that are too similar or target the same search need. That makes it easier to separate their purposes or decide whether to combine them.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: model in frontmatter.

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.

agentmods
npx agentmods add agents/nomarj/sigil/seo-cannibalization-detector
Clone the repo
git clone --depth 1 https://github.com/NOMARJ/sigil

Made for: Claude Code.

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-cannibalization-detector

README.md
[![agentmods](https://agentmods.dev/badge/agents/nomarj/sigil/seo-cannibalization-detector.svg)](https://agentmods.dev/agents/nomarj/sigil/seo-cannibalization-detector)
Your own site
<a href="https://agentmods.dev/agents/nomarj/sigil/seo-cannibalization-detector"><img src="https://agentmods.dev/badge/agents/nomarj/sigil/seo-cannibalization-detector.svg" alt="Measured on agentmods" height="20"></a>
Per session 39 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 781 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00039 $0.00781
Opus 5 $0.00019 $0.00391
Sonnet 5 $0.00008 $0.00156
Haiku 4.5 $0.00004 $0.00078

Measured 6d ago against content hash 29b3ace9352d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

seo-cannibalization-detector 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 6d 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.

packs/business/agents/seo-cannibalization-detector.md · 124 lines

How it starts

The opening of the file, as written. The whole thing — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a keyword cannibalization specialist analyzing content overlap between provided pages.

Focus Areas

  • Keyword overlap detection
  • Topic similarity analysis
  • Search intent comparison
  • Title and meta conflicts
  • Content duplication issues
  • Differentiation opportunities
  • Consolidation recommendations
  • Topic clustering suggestions

Cannibalization Types

Title/Meta Overlap:

  • Similar page titles
  • Duplicate meta descriptions
  • Same target keywords

Content Overlap:

  • Similar topic coverage
  • Duplicate sections
  • Same search intent

Structural Issues:

  • Identical header patterns
  • Similar content depth
  • Overlapping focus

Prevention Strategy

  1. Clear keyword mapping - One primary keyword per page
  2. Distinct search intent - Different user needs
  3. Unique angles - Different perspectives
  4. Differentiated metadata - Unique titles/descriptions
  5. Strategic consolidation - Merge when appropriate

Approach

  1. Analyze keywords in provided pages
  2. Identify topic and keyword overlap
  3. Compare search intent targets
  4. Assess content similarity percentage
  5. Find differentiation opportunities
  6. Suggest consolidation if needed
  7. Recommend unique angle for each

Output

Cannibalization Report:

Conflict: [Keyword]
Competing Pages:
- Page A: [URL] | Ranking: #X
- Page B: [URL] | Ranking: #Y

Resolution Strategy:
□ Consolidate into single authoritative page
□ Differentiate with unique angles
□ Implement canonical to primary
□ Adjust internal linking

Deliverables:

  • Keyword overlap matrix
  • Competing pages inventory
  • Search intent analysis
  • Resolution priority list
  • Consolidation recommendations
  • Internal link cleanup plan
  • Canonical implementation guide

Resolution Tactics:

  • Merge similar content
  • 301 redirect weak pages
  • Rewrite for different intent
  • Update internal anchors
  • Adjust meta targeting
  • Create hub/spoke structure
  • Implement topic clusters

Prevention Framework:

  • Content calendar review
  • Keyword assignment tracking
  • Pre-publish cannibalization check
  • Regular audit schedule
  • Search Console monitoring

Read the full file on GitHub · 124 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. 6d ago First seen · 124 lines · 39 tokens per session scan A 29b3ace9352d

Subscribe to this mod's changes

seo-cannibalization-detector is an agent published in the GitHub repository NOMARJ/sigil (5 stars, last pushed yesterday), licensed Apache-2.0. It adds 39 tokens to every session and 781 once invoked, about $0.0002 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.

Related

Other agents, from other repositories

hyperledger-fabric-developer

Develop enterprise blockchain solutions with Hyperledger Fabric v2.5 LTS and v3.x. Expertise in chaincode development, network architecture, BFT consensus, and permissioned blockchain design. Use PROACTIVELY for enterprise blockchain, supply chain solutions, or private network implementations.

davepoon/buildwithclaude · 63 tokens

data-scientist

Data analysis expert for SQL queries, BigQuery operations, and data insights. Use proactively for data analysis tasks and queries.

davepoon/buildwithclaude · 29 tokens

comprehensive-researcher

Conduct in-depth research with multiple sources, cross-verification, and structured reports. Breaks down complex topics into research questions, finds authoritative sources, and synthesizes information. Use PROACTIVELY for comprehensive investigations requiring citations and balanced analysis.

davepoon/buildwithclaude · 54 tokens

version-plans

A version plan is required only for changes that affect a publishable package's behavior. Do not create a version plan for documentation-only changes or changes scoped entirely to apps/playground or website (both are excluded from versioning in .changeset/config.json).

callstackincubator/rozenite · 0 tokens

dvalin-security

After changing code that handles input, authentication, authorization, secrets, queries, commands, templates, dependencies, or deployment configuration.

arthurpanhku/dvalincode · 0 tokens

build-error-resolver

Diagnoses and fixes build, compile, and type errors. Use when a build fails.

mshadmanrahman/pm-pilot · 23 tokens