/ai-seo
Source: search-n-stuff-docs Category: SEO & AI Search
AI search optimization and content strategy.
What It Does
- Audits content for AI search optimization using the documented criteria
- Applies the vector embeddings knowledge to your content strategy
- Guides internal linking using the AI-powered linking SOPs
- Implements TikTok SEO using the specific documented tactics
- References the actual conference talks for deep strategy
- Runs content gap analysis using the documented workflow
Example Usage
Input: "How do I optimize this article for AI search results?"
Skill Response:
- Runs through the AI search optimization SOP
- Checks against documented signals
- Gives specific fixes
- Prioritizes by impact
Capabilities
| Action | Description |
|---|---|
| AI Search Audit | Check content against AI optimization criteria |
| Vector Strategy | Apply embeddings knowledge to content |
| Internal Linking | AI-powered link recommendations |
| TikTok SEO | Documented tactics for TikTok optimization |
| Content Gaps | Identify missing content opportunities |
Audit Criteria
The skill checks content against:
- Semantic clarity and entity coverage
- Citation likelihood signals
- Content structure for AI parsing
- Authority signals for LLM trust
- Topical completeness
Strategy Components
Vector Embeddings
How content gets represented in vector space and what that means for visibility.
AI-Powered Linking
Using AI to identify optimal internal linking opportunities.
Content Gap Analysis
Finding what topics you're missing based on semantic analysis.
Quick Start
/ai-seoSkill will ask what content you want to optimize, then run the documented audit workflow.