AI Content Compliance
Evaluate whether AI-assisted or AI-generated content creates monetization risk under AdSense-style helpful content, originality, disclosure, and E-E-A-T expectations.
Quick Start
Input: Website URL, content samples, editorial workflow notes
Output: AI content risk report + pass/partial/fail matrix + remediation plan
Time: 20-45 minutes
When To Use
Use this skill when:
- A site publishes AI-assisted or AI-generated content at scale
- Content quality looks templated, thin, repetitive, or low-value
- Editorial teams need a defensible policy for AI use
- You want to reduce rejection risk tied to low-originality or unhelpful content
Scope
This skill overlays ARB items with deeper AI-specific review, especially:
- CI02, CI03, CI08, CI10, CI15, CI18
- TD11, TD12, TD20 when authorship and disclosure are weak
- SI01, SI02 when AI output creates keyword stuffing or semantic redundancy
Review Dimensions
- Original value-add
- Does the content go beyond summarization or paraphrase?
- Is there first-hand experience, testing, examples, or synthesis?
- Human editorial control
- Is there evidence of human review, editing, fact-checking, and sign-off?
- Are expert-sensitive pages reviewed by qualified editors?
- Repetition risk
- Are many pages structurally identical with only keyword swaps?
- Are intros, FAQs, and conclusions repeated across clusters?
- Disclosure quality
- If AI materially contributes, is the workflow internally documented?
- If user trust would be affected, is public disclosure appropriate?
- Accuracy and citation depth
- Are factual claims sourced?
- Do citations point to primary or authoritative sources?
- Brand and trust signals
- Is authorship clear?
- Do editorial standards and update policies exist?
Output Contract
Return:
ai_content_risk: low / medium / high / critical
editorial_maturity: low / medium / high
ai_usage_pattern: assisted / hybrid / majority-generated / unknown
approval_impact: negligible / moderate / material / severe
mapped_items: ARB item IDs affected
priority_actions: top remediation list
Rating Guide
Pass
- AI is clearly used as drafting support, not substitute for value
- Content shows strong human editing, expert input, and factual grounding
- No pattern of large-scale templated thin content
Partial
- Some pages have value, but quality is inconsistent
- Human oversight exists but is weakly documented
- Repetition or shallow synthesis appears in some clusters
Fail
- Large-scale low-value AI content with minimal differentiation
- Weak or no human oversight
- Repeated structures, unsupported claims, or obvious content spinning
Recommended Remediation
- Reduce low-value page count before expanding output volume
- Add editor review workflow with named approvers
- Require original examples, screenshots, testing notes, or data per page
- Improve citations toward primary sources
- Consolidate overlapping pages created from keyword variants
- Add editorial standards page if trust is weak
Routing
- If risk is
high or critical → content-improvement-blueprint
- If trust signals are weak →
trust-credibility-strategy
- If the site uses AI across many locales →
geo-localization-compliance
- If benchmark comparison is needed →
competitive-benchmark
1---2name: ai-content-compliance3description: Assess AI-generated content risk, value-add depth, disclosure practices, and human editorial oversight for AdSense and broader publisher monetization readiness.4---56# AI Content Compliance78Evaluate whether AI-assisted or AI-generated content creates monetization risk under AdSense-style helpful content, originality, disclosure, and E-E-A-T expectations.910## Quick Start1112**Input**: Website URL, content samples, editorial workflow notes 13**Output**: AI content risk report + pass/partial/fail matrix + remediation plan 14**Time**: 20-45 minutes1516## When To Use1718Use this skill when:19- A site publishes AI-assisted or AI-generated content at scale20- Content quality looks templated, thin, repetitive, or low-value21- Editorial teams need a defensible policy for AI use22- You want to reduce rejection risk tied to low-originality or unhelpful content2324## Scope2526This skill overlays ARB items with deeper AI-specific review, especially:27- CI02, CI03, CI08, CI10, CI15, CI1828- TD11, TD12, TD20 when authorship and disclosure are weak29- SI01, SI02 when AI output creates keyword stuffing or semantic redundancy3031## Review Dimensions32331. **Original value-add**34- Does the content go beyond summarization or paraphrase?35- Is there first-hand experience, testing, examples, or synthesis?36372. **Human editorial control**38- Is there evidence of human review, editing, fact-checking, and sign-off?39- Are expert-sensitive pages reviewed by qualified editors?40413. **Repetition risk**42- Are many pages structurally identical with only keyword swaps?43- Are intros, FAQs, and conclusions repeated across clusters?44454. **Disclosure quality**46- If AI materially contributes, is the workflow internally documented?47- If user trust would be affected, is public disclosure appropriate?48495. **Accuracy and citation depth**50- Are factual claims sourced?51- Do citations point to primary or authoritative sources?52536. **Brand and trust signals**54- Is authorship clear?55- Do editorial standards and update policies exist?5657## Output Contract5859Return:60- `ai_content_risk`: low / medium / high / critical61- `editorial_maturity`: low / medium / high62- `ai_usage_pattern`: assisted / hybrid / majority-generated / unknown63- `approval_impact`: negligible / moderate / material / severe64- `mapped_items`: ARB item IDs affected65- `priority_actions`: top remediation list6667## Rating Guide6869### Pass70- AI is clearly used as drafting support, not substitute for value71- Content shows strong human editing, expert input, and factual grounding72- No pattern of large-scale templated thin content7374### Partial75- Some pages have value, but quality is inconsistent76- Human oversight exists but is weakly documented77- Repetition or shallow synthesis appears in some clusters7879### Fail80- Large-scale low-value AI content with minimal differentiation81- Weak or no human oversight82- Repeated structures, unsupported claims, or obvious content spinning8384## Recommended Remediation85861. Reduce low-value page count before expanding output volume872. Add editor review workflow with named approvers883. Require original examples, screenshots, testing notes, or data per page894. Improve citations toward primary sources905. Consolidate overlapping pages created from keyword variants916. Add editorial standards page if trust is weak9293## Routing9495- If risk is `high` or `critical` → `content-improvement-blueprint`96- If trust signals are weak → `trust-credibility-strategy`97- If the site uses AI across many locales → `geo-localization-compliance`98- If benchmark comparison is needed → `competitive-benchmark`