SEO Fundamentals

SEO Fundamentals

Foundational principles for sustainable search visibility. This skill explains how search engines evaluate quality, not tactical shortcuts.

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1. E-E-A-T (Quality Evaluation Framework)

E-E-A-T is not a direct ranking factor. It is a framework used by search engines to evaluate content quality, especially for sensitive or high-impact topics.

Dimension	What It Represents	Common Signals
Experience	First-hand, real-world involvement	Original examples, lived experience, demonstrations
Expertise	Subject-matter competence	Credentials, depth, accuracy
Authoritativeness	Recognition by others	Mentions, citations, links
Trustworthiness	Reliability and safety	HTTPS, transparency, accuracy

Pages competing in the same space are often differentiated by trust and experience, not keywords.

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2. Core Web Vitals (Page Experience Signals)

Core Web Vitals measure how users experience a page, not whether it deserves to rank.

Metric	Target	What It Reflects
LCP	< 2.5s	Loading performance
INP	< 200ms	Interactivity
CLS	< 0.1	Visual stability

Important context:

• CWV rarely override poor content
• They matter most when content quality is comparable
• Failing CWV can hold back otherwise good pages

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3. Technical SEO Principles

Technical SEO ensures pages are accessible, understandable, and stable.

Crawl & Index Control

Element	Purpose
XML sitemaps	Help discovery
robots.txt	Control crawl access
Canonical tags	Consolidate duplicates
HTTP status codes	Communicate page state
HTTPS	Security and trust

Performance & Accessibility

Factor	Why It Matters
Page speed	User satisfaction
Mobile-friendly design	Mobile-first indexing
Clean URLs	Crawl clarity
Semantic HTML	Accessibility & understanding

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4. Content SEO Principles

Page-Level Elements

Element	Principle
Title tag	Clear topic + intent
Meta description	Click relevance, not ranking
H1	Page’s primary subject
Headings	Logical structure
Alt text	Accessibility and context

Content Quality Signals

Dimension	What Search Engines Look For
Depth	Fully answers the query
Originality	Adds unique value
Accuracy	Factually correct
Clarity	Easy to understand
Usefulness	Satisfies intent

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5. Structured Data (Schema)

Structured data helps search engines understand meaning, not boost rankings directly.

Type	Purpose
Article	Content classification
Organization	Entity identity
Person	Author information
FAQPage	Q&A clarity
Product	Commerce details
Review	Ratings context
BreadcrumbList	Site structure

Schema enables eligibility for rich results but does not guarantee them.

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6. AI-Assisted Content Principles

Search engines evaluate output quality, not authorship method.

Effective Use

• AI as a drafting or research assistant
• Human review for accuracy and clarity
• Original insights and synthesis
• Clear accountability

Risky Use

• Publishing unedited AI output
• Factual errors or hallucinations
• Thin or duplicated content
• Keyword-driven text with no value

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7. Relative Importance of SEO Factors

There is no fixed ranking factor order. However, when competing pages are similar, importance tends to follow this pattern:

Relative Weight	Factor
Highest	Content relevance & quality
High	Authority & trust signals
Medium	Page experience (CWV, UX)
Medium	Mobile optimization
Baseline	Technical accessibility

Technical SEO enables ranking; content quality earns it.

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8. Measurement & Evaluation

SEO fundamentals should be validated using multiple signals, not single metrics.

Area	What to Observe
Visibility	Indexed pages, impressions
Engagement	Click-through, dwell time
Performance	CWV field data
Coverage	Indexing status
Authority	Mentions and links

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Key Principle: Sustainable SEO is built on useful content, technical clarity, and trust over time. There are no permanent shortcuts.

When to Use

This skill is applicable to execute the workflow or actions described in the overview.

Example

User request:

Review this campaign asset with @seo-fundamentals, identify the main conversion problem, and produce an improved version grounded in the available evidence.

Limitations

• Use this skill only when the task clearly matches the scope described above.
• Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.