In This Module
How Search Engines Work in 2026
Search engines have evolved far beyond keyword matching. Google's systems now use a combination of machine learning, natural language processing, and neural matching to understand the meaning behind queries — not just the words.
- Crawling: Googlebot discovers pages by following links across the web
- Indexing: Discovered pages are analysed and stored in Google's index
- Ranking: Hundreds of signals determine which pages show for each query
- AI Overviews: Google's generative AI now answers many queries directly in the SERP
E-E-A-T: The Framework That Governs Rankings
Experience, Expertise, Authoritativeness, and Trustworthiness (E-E-A-T) is not a direct ranking factor — it's a framework Google's quality raters use to evaluate content. Pages that demonstrate genuine expertise and real-world experience consistently outperform thin AI-generated content.
- Experience: First-hand knowledge demonstrated through case studies, screenshots, and personal results
- Expertise: Subject matter depth shown through accurate, nuanced coverage of complex topics
- Authoritativeness: Recognition from other authoritative sources through backlinks and citations
- Trustworthiness: Clear authorship, accurate claims, secure site, and transparent policies
Google's Core Algorithm Updates
Algorithm updates are not random — they follow predictable themes. Core updates re-evaluate which pages best satisfy user intent. Helpful Content updates demote sites with low-value AI-generated content. Understanding the pattern lets you stay ahead.
- Helpful Content System: Favours people-first content over content made for search engines
- SpamBrain: AI-powered spam detection targeting link schemes and auto-generated content
- Core Updates: Broad re-evaluations of content quality across entire domains
- Page Experience: CWV scores, mobile usability, and HTTPS as ranking signals
The AI-Driven Search Landscape
AI Overviews, ChatGPT search, Perplexity, and Gemini are fundamentally changing how people find information. Traditional blue-link clicks are declining for informational queries. This module gives you the framework to rank in both traditional SERPs and AI-generated answers.
- AI Overviews appear in over 40% of Google searches — primarily informational queries
- Perplexity and ChatGPT search pull from indexed web content — SEO still matters
- GEO (Generative Engine Optimisation) is the new frontier covered in Module 9
- Zero-click searches require a different content strategy than traditional SEO
Ready to Apply This in Practice?
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Enrol in the Full Course →AI Prompts for This Module
Use these prompts directly in ChatGPT, Claude, or Gemini to apply the concepts from this module to your own site.
Audit [domain] for crawlability issues. Check: robots.txt blocking important pages, noindex tags on pages that should be indexed, internal link depth (pages more than 3 clicks from homepage), orphaned pages with no internal links, and redirect chains over 2 hops. List issues by priority.
Evaluate this page for E-E-A-T signals: [URL or paste content]. Score each dimension 1–10 and suggest the single highest-impact improvement for Experience, Expertise, Authoritativeness, and Trust separately.
Frequently Asked Questions
What is SEO and why does it matter in 2026?
SEO (Search Engine Optimisation) is the process of improving a website's visibility in organic search results. In 2026, it matters more than ever — but the tactics have shifted. AI-generated content has flooded the web, making authentic expertise, original research, and genuine helpfulness the primary differentiators for ranking.
How long does it take to learn SEO?
You can learn the core concepts of SEO in 4–8 weeks. Becoming proficient takes 3–6 months of hands-on practice. Mastery — being able to diagnose and fix complex technical issues, build topical authority, and execute multi-platform strategies — takes 1–2 years of active application.
Is SEO dead because of AI?
No — SEO is more important than ever, but it has evolved. AI search tools like ChatGPT and Perplexity pull answers from indexed web content, meaning well-optimised pages still get cited. The difference is that ranking signals have shifted toward genuine expertise, original data, and E-E-A-T rather than keyword density.