SEO Optimizer
Overview
Optimizes digital visibility through entity-based SEO, structured data, and content architecture. Focuses on AI Overviews optimization, E-E-A-T authority signals, and semantic topic clustering rather than keyword-centric approaches.
When to use: Search ranking optimization, structured data implementation, content audits, topical authority planning, featured snippet targeting, Core Web Vitals improvement.
When NOT to use: Paid advertising campaigns, social media strategy, email marketing, brand identity design.
Quick Reference
| Pattern |
Approach |
Key Points |
| AI Overviews |
Question-based H2s with direct answers |
1-2 sentence answer before expanding; scannable lists |
| E-E-A-T signals |
Experience-led content with author bios |
First-hand evidence, SME review labels, credentials |
| Structured data |
JSON-LD schema for entities |
Organization, Article, FAQ, Breadcrumb schemas |
| Topic clusters |
Pillar page + cluster architecture |
Internal links flow between pillar and clusters |
| Semantic SEO |
Intent mapping + related terms |
Map pages to Informational/Commercial/Transactional intent |
| Content audit |
30-point scoring methodology |
Title, meta, keywords, structure, snippets, linking, technical |
| Featured snippets |
Format-matched content blocks |
40-60 word definitions, numbered steps, comparison tables |
| Schema markup |
Explicit entity definitions |
Define Who/What/Where in first paragraph + Schema.org |
| Content freshness |
Periodic refresh protocol |
Update critical articles every 6 months with current data |
| Core Web Vitals |
Performance-first design |
LCP, CLS, INP monitoring and continuous improvement |
Common Mistakes
| Mistake |
Correct Pattern |
| Keyword stuffing to boost rankings |
Use semantic SEO with semantically related terms and natural language |
| Publishing generic AI-generated content without expert review |
Lead with first-hand experience and E-E-A-T signals |
| Ignoring Core Web Vitals (LCP, CLS, INP) impact on rankings |
Implement performance-first design and monitor vitals continuously |
| Using hidden or incomplete JSON-LD schema markup |
Define explicit, complete structured data that maps entities clearly |
| Building thin affiliate pages without topical depth |
Create pillar pages with full cluster coverage |
| Writing definitions longer than 60 words for snippet targeting |
Keep definition paragraphs to 40-60 words for featured snippet eligibility |
| Using non-descriptive anchor text like "click here" or "read more" |
Use keyword-rich descriptive anchor text that describes the destination |
| Missing primary keyword from title, description, or first 100 words |
Place primary keyword in title, meta description, first paragraph, and one H2 |
Delegation
- Audit a site for technical SEO issues, missing schema, and Core Web Vitals problems: Use
Explore agent to crawl pages and identify structured data gaps
- Implement JSON-LD schema markup and meta tags across page templates: Use
Task agent to add Organization, Article, FAQ, and Breadcrumb schemas
- Plan a topical authority strategy with pillar pages and content clusters: Use
Plan agent to map keyword intent, cluster hierarchy, and internal linking architecture
References
- AI Overviews optimization and search visibility
- E-E-A-T standards and authority building
- Semantic entity SEO and topic clusters
- Schema markup patterns with JSON-LD
- Content audit methodology and scoring
1---
2name: seo-optimizer
3description: 'SEO architecture and content strategy for search visibility. Covers entity-first optimization, structured data, E-E-A-T signals, AI Overviews optimization, and content auditing. Use when optimizing search rankings, implementing JSON-LD schema, improving E-E-A-T signals, auditing site performance, planning topical authority, or structuring content for AI Overviews and featured snippets.'
4license: MIT
5metadata:
6 author: oakoss
7 version: '1.1'
8---
9
10# SEO Optimizer
11
12## Overview
13
14Optimizes digital visibility through entity-based SEO, structured data, and content architecture. Focuses on AI Overviews optimization, E-E-A-T authority signals, and semantic topic clustering rather than keyword-centric approaches.
15
16**When to use:** Search ranking optimization, structured data implementation, content audits, topical authority planning, featured snippet targeting, Core Web Vitals improvement.
17
18**When NOT to use:** Paid advertising campaigns, social media strategy, email marketing, brand identity design.
19
20## Quick Reference
21
22| Pattern | Approach | Key Points |
23| ----------------- | --------------------------------------- | -------------------------------------------------------------- |
24| AI Overviews | Question-based H2s with direct answers | 1-2 sentence answer before expanding; scannable lists |
25| E-E-A-T signals | Experience-led content with author bios | First-hand evidence, SME review labels, credentials |
26| Structured data | JSON-LD schema for entities | Organization, Article, FAQ, Breadcrumb schemas |
27| Topic clusters | Pillar page + cluster architecture | Internal links flow between pillar and clusters |
28| Semantic SEO | Intent mapping + related terms | Map pages to Informational/Commercial/Transactional intent |
29| Content audit | 30-point scoring methodology | Title, meta, keywords, structure, snippets, linking, technical |
30| Featured snippets | Format-matched content blocks | 40-60 word definitions, numbered steps, comparison tables |
31| Schema markup | Explicit entity definitions | Define Who/What/Where in first paragraph + Schema.org |
32| Content freshness | Periodic refresh protocol | Update critical articles every 6 months with current data |
33| Core Web Vitals | Performance-first design | LCP, CLS, INP monitoring and continuous improvement |
34
35## Common Mistakes
36
37| Mistake | Correct Pattern |
38| ------------------------------------------------------------------- | ----------------------------------------------------------------------------- |
39| Keyword stuffing to boost rankings | Use semantic SEO with semantically related terms and natural language |
40| Publishing generic AI-generated content without expert review | Lead with first-hand experience and E-E-A-T signals |
41| Ignoring Core Web Vitals (LCP, CLS, INP) impact on rankings | Implement performance-first design and monitor vitals continuously |
42| Using hidden or incomplete JSON-LD schema markup | Define explicit, complete structured data that maps entities clearly |
43| Building thin affiliate pages without topical depth | Create pillar pages with full cluster coverage |
44| Writing definitions longer than 60 words for snippet targeting | Keep definition paragraphs to 40-60 words for featured snippet eligibility |
45| Using non-descriptive anchor text like "click here" or "read more" | Use keyword-rich descriptive anchor text that describes the destination |
46| Missing primary keyword from title, description, or first 100 words | Place primary keyword in title, meta description, first paragraph, and one H2 |
47
48## Delegation
49
50- **Audit a site for technical SEO issues, missing schema, and Core Web Vitals problems**: Use `Explore` agent to crawl pages and identify structured data gaps
51- **Implement JSON-LD schema markup and meta tags across page templates**: Use `Task` agent to add Organization, Article, FAQ, and Breadcrumb schemas
52- **Plan a topical authority strategy with pillar pages and content clusters**: Use `Plan` agent to map keyword intent, cluster hierarchy, and internal linking architecture
53
54## References
55
56- [AI Overviews optimization and search visibility](references/ai-overviews.md)
57- [E-E-A-T standards and authority building](references/eeat-standards.md)
58- [Semantic entity SEO and topic clusters](references/semantic-entity-seo.md)
59- [Schema markup patterns with JSON-LD](references/schema-markup.md)
60- [Content audit methodology and scoring](references/content-audit.md)
oakoss