Comprehensive 7-phase SEO optimization workflow covering technical SEO auditing, keyword research strategy, on-page optimization, content SEO and E-E-A-T, structured data implementation, link building, and AI search optimization. Use when auditing search engine visibility, diagnosing ranking issues, implementing schema markup, conducting keyword research, optimizing content for E-E-A-T signals, or adapting for AI-driven search (AI Overviews, SGE).
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Comprehensive 7-phase SEO optimization workflow covering technical SEO auditing, keyword research strategy, on-page optimization, content SEO and E-E-A-T, structured data implementation, link building, and AI search optimization. Use when auditing search engine visibility, diagnosing ranking issues, implementing schema markup, conducting keyword research, optimizing content for E-E-A-T signals, or adapting for AI-driven search (AI Overviews, SGE).
Comprehensive 7-phase SEO optimization workflow. Audit search visibility, diagnose ranking issues, implement structured data, and produce actionable optimization recommendations for both traditional and AI-driven search.
When to Apply
Use this skill when:
Conducting a full technical SEO audit
Diagnosing ranking drops or crawlability issues
Implementing structured data / schema markup for rich results
Conducting keyword research and building content strategy
Optimizing on-page elements (title tags, meta descriptions, headers)
Building topical authority via content clustering
Evaluating and improving E-E-A-T signals
Preparing content for AI Overview (SGE) visibility
Planning or evaluating a link building strategy
Optimizing App Store listings alongside web SEO (ASO correlation)
Build a keyword strategy grounded in search intent before optimizing any page.
Search Intent Classification:
Intent Type
Query Pattern
Content Type
Informational
"how to", "what is", "guide"
Blog posts, guides, tutorials
Navigational
Brand name, product name
Landing pages, product pages
Commercial
"best", "vs", "review"
Comparison pages, listicles
Transactional
"buy", "price", "discount"
Product/category pages, checkout
Keyword Research Process:
Seed keywords: Start with 3-5 core topics your product/service covers
Expand with long-tail: Use tools (Ahrefs, SEMrush, Google Keyword Planner) to find related, lower-competition terms
LSI synonyms: For each primary keyword, identify 3-5 Latent Semantic Indexing variants
Competitor gap analysis: Find keywords competitors rank for that you don't
Group by topic cluster: Group related keywords into hub-and-spoke architecture
Keyword Prioritization Matrix:
Priority
Search Volume
Keyword Difficulty
Intent Match
P0
High (1000+/mo)
Low-Medium (<50 KD)
Exact match
P1
Medium (100-999/mo)
Medium (<65 KD)
Strong match
P2
Low (<100/mo)
Any
Long-tail / niche
Content Cluster Architecture:
Pillar Page: "Complete Guide to [Topic]"
├── Cluster: "[Topic] for Beginners"
├── Cluster: "[Topic] Best Practices"
├── Cluster: "[Topic] vs [Alternative]"
├── Cluster: "How to [Specific Action] with [Topic]"
└── Cluster: "[Topic] Pricing and Plans"
Internal links: Every cluster page links to pillar; pillar links to all clusters.
Phase 3: On-Page Optimization
Optimize each page's metadata and content structure for target keywords.
Per-Page Optimization Checklist:
Title tag: Primary keyword near front, unique, ≤ 60 characters
Meta description: Includes keyword, compelling CTA, 150-160 characters
H1 tag: Exactly one per page, matches or contains primary keyword
H2/H3 tags: Logical hierarchy, include secondary keywords naturally
URL: Short, hyphenated, includes primary keyword, no parameters
First 100 words: Primary keyword appears in opening paragraph
Image alt text: Descriptive, includes keyword when contextually natural
Internal links: 3-5 internal links per page to related content
