holistic-seo
ogabasseyy/BaciComprehensive SEO audit and optimization framework based on Koray Tuğberk GÜBÜR's Holistic SEO methodology. Use when performing SEO audits, creating content strategies, building topical authority, implementing semantic SEO, optimizing for E-E-A-T, or improving technical SEO. Covers topical maps, entity optimization, internal linking, structured data, Core Web Vitals, and content optimization for any website type including e-commerce, SaaS, blogs, and local businesses.
SKILL.md
name: holistic-seo description: Comprehensive SEO audit and optimization framework based on Koray Tuğberk GÜBÜR's Holistic SEO methodology. Use when performing SEO audits, creating content strategies, building topical authority, implementing semantic SEO, optimizing for E-E-A-T, or improving technical SEO. Covers topical maps, entity optimization, internal linking, structured data, Core Web Vitals, and content optimization for any website type including e-commerce, SaaS, blogs, and local businesses.
Holistic SEO Audit & Growth Framework
Based on Koray Tuğberk GÜBÜR's methodology (122+ case studies, results including 0→128,000 traffic in 123 days). Core principle: "Cost of Ranking can't be higher than Cost of Not Ranking."
Core Principles
- Cost of Retrieval = (crawl + understand + evaluate + index + rank + serve cost) / value. Lower = higher rankings.
- Topical Authority = Topical Coverage × Historical Data
- Rank Topics, Not Keywords — Content is "a data point in a semantic network"
- Source Context — Why your brand should exist in SERPs
- Quality Threshold — "Good enough to be indexed ≠ good enough to be served"
Critical Numbers (Memorize These)
| Metric | Koray's Specification |
|---|---|
| Internal links per page | Maximum 10 (5 sidebar, 3 contextual, 1 footer, 1 header) |
| Content similarity between pages | <6% (above = ranking signal dilution) |
| HTML page size | <450KB |
| Featured snippet length | <340 characters, max 40 words |
| Extractive answer under H2 | ~40 words |
| Source update to trigger re-ranking | 30%+ of content |
| Server response time target | <100ms |
Expected Timeframes
| Milestone | Timeframe |
|---|---|
| First ranking signals | 28-30 days |
| Initial ranking phase | 20-45 days |
| Re-ranking phase | 30-65 days |
| First featured snippets | 60-90 days |
| Significant traffic growth | 115-123 days |
| Full topical authority | 5-6 months |
Diagnostic Framework
Step 1: Determine Ranking State
CRITICAL FIRST STEP. Never optimize in negative state.
Negative State Indicators:
- New content doesn't rank despite quality
- Impressions exist but clicks minimal
- "Crawled - currently not indexed" growing
- Traffic declines after publishing
Recovery Framework (3 Steps):
- Neutralize: Stop harmful signals
- Prune: Remove low-quality/diluting content
- Create: New document networks for fresh attention
Timing: Make major changes 15-20 days before expected core updates — Google doesn't heavily weight final 15-20 days.
Step 2: Assess 5 Fundamentals
- Source Context — Brand's reason to exist in SERPs
- Central Entity — Main entity appearing site-wide
- Central Search Intent — Primary intent served
- Core Section — Primary monetizable topics (60-70%)
- Outer Section — Supporting topics (30-40%)
Step 3: Evaluate Quality Nodes
Quality Nodes propagate signals to entire semantic network.
- Has comprehensive anchor documents?
- Linked directly from homepage?
- "Best on internet" quality for topic?
Step 4: Check Link Architecture
Link Node Types (prioritize I-nodes):
- I-nodes: Individual contextual links — HIGHEST value
- C-nodes: Content block link groups
- S-nodes: Site-wide navigation — lowest value
Step 5: Audit Entity Signals
- No conflicting EAV statements
- Entity homes for primary entities
- Cross-platform consistency
- Surround Sound strategy active (see
references/advanced-strategies.md)
Publishing Velocity Pattern
Follow this acceleration pattern:
- Days 1-20: 1 article every 3 days
- Days 21-30: 1 article every 2 days
- Days 31-50: 1 article daily
- Days 51+: Up to 3 articles/day
Starting too fast triggers spam detection. Gradual acceleration signals investment.
The 27-Article Pattern
Koray outranked WebMD, Healthline with just 27 articles. Keys:
- Perfect topical coverage for query cluster
- Strong internal linking (contextual bridges)
- Consistent EAV structure
- Quality Nodes anchoring network
- Quality × Coverage beats Volume
Update Score Formula
Update Score = Update Frequency × Update Amount
Updates propagate through connected content. Strategic Quality Node updates improve entire network.
Reference Files
references/topical-maps.md— Complete topical map methodologyreferences/content-creation.md— Algorithmic Authorship guidelinesreferences/technical-checklist.md— Technical audit checklistreferences/diagnostic-questions.md— Issue diagnosis frameworkreferences/advanced-strategies.md— Surround Sound, mentions, AI-era SEOreferences/ecommerce.md— E-commerce specifics