ai-internal-linking-optimizer

ai-internal-linking-optimizer Internal Linking Optimization Assistant

Quick Start

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Overview

The internal linking optimization assistant is used to answer "how should internal links be connected," SEO, content growth, and search optimization. It is suitable for marketing, operations, content creators, and software to call after clarifying business goals, content materials, or analysis targets. It will combine pages, keyword or content materials, pasted page content, keywords, site structure, search goals, competitor summaries, or optimization questions. and other inputs, organize key context, and output content diagnostics, structured optimization suggestions, and actionable publishing checklists, making it easy to continue execution, review, or delivery. Capability positioning supplement: the skills.sh hot signal shows that internal-linking-optimizer has user demand; the platform displays it as a content_marketing business assistant directory, outputting reviewable diagnostics, suggestions, or production preparation packages.

When to Use

Applicable Scenarios

• Users raise questions such as "how should internal links be connected," and need to quickly break down goals, determine priorities, and form actionable results
• Marketing, operations, content creators, and software need to generate content diagnostics, structured optimization suggestions, and actionable publishing checklists around the internal linking optimization assistant
• Users have already prepared optimization goals (explain the keywords, search intent, visibility, citation opportunities, or conversion goals to improve.), target audience (explain search users, target market, industry, purchase stage, or content audience.), and page or site links (fill in publicly accessible pages, sites, SERPs, competitors, or reference links.), and hope to organize them into actionable analysis or optimization results
• Users need to turn materials related to the internal linking optimization assistant into clear conclusions, priorities, and next-step actions

How to Call

Call the AI Skills API directly through the exported Python runner:

Command Examples

Basic Call

python3 scripts/run.py --params '{}'

Call with Common Parameters

python3 scripts/run.py --params '{"goal":"优化目标"}'

Parameter Description

Parameter	Type	Required	Default	Description
goal	string	No	-	Explain the keywords, search intent, visibility, citation opportunities, or conversion goals to improve
audience	string	No	-	Explain search users, target market, industry, purchase stage, or content audience
materialUrl	string	No	-	Fill in publicly accessible pages, sites, SERPs, competitors, or reference links; a complete accessible URL must be provided
materialFile	string	No	-	Upload content drafts, keyword lists, site structures, audit reports, or SEO planning materials
materialText	string	No	-	Paste page content, keywords, site structure, search goals, competitor summaries, or optimization questions
brandRequirements	string	No	-	Supplement with target regions, languages, brand restrictions, unchangeable facts, compliance requirements, or key points for manual review

For the complete machine-readable parameter structure, see references/form-schema.json。

Parameter Value Reference

The current skill has no categorical parameters that require additional table lookup.

Supported Input Formats

The current skill directly accepts JSON parameters; if the parameters include a link field, please pass a complete, accessible URL.

Example request

The example parameters below can be passed directly to scripts/run.py, and the runner will send them to the AI Skills API.

python3 scripts/run.py --params '{"goal":"优化目标"}'

Equivalent --params JSON：

{
  "goal": "优化目标"
}

Example return result

{
  "success": true,
  "data": {
    "message": "示例结果请以技能真实返回结构为准。"
  },
  "meta": {
    "executionTime": 842,
    "cached": false
  }
}

Deliverables

• Content diagnosis, structured optimization suggestions, actionable publishing checklist: organize the core results around user goals that can be directly read, reviewed, or delivered.
• Interpretation of input materials: combine the optimization goal (explain the key terms to improve, search intent, visibility, citation opportunities, or conversion goals.), target audience (explain search users, target market, industry, purchase stage, or content audience.), and page or site links (fill in publicly accessible pages, sites, SERPs, competitors, or reference links.) to extract key context and the basis for judgment.
• Next steps: provide priorities, execution suggestions, or a content framework that can be further processed.

Suggestions for using the results

• First determine whether the output answers the user's core question about the "Internal Link Optimization Assistant".
• Then check whether the results cover content diagnosis, structured optimization suggestions, an actionable publishing checklist, and whether clear next steps are provided.
• If the input materials are limited, it is recommended to have the user supplement the goals, audience, constraints, or original materials before running.

Preparation before running

• AISKILLS_BASE_URL: default https://ai-skills.ai
• AISKILLS_API_KEY: required, used for authenticated calls
• AISKILLS_TENANT_ID: default default