📚 What does this SEO resources hub include? (Direct answer)
This hub contains three free SEO reference tools: (1) a 100+ question Technical SEO Master Exam for interview prep and skill assessment; (2) a comprehensive AEO, SEO & GEO Optimisation Checklist covering traditional SEO, Answer Engine Optimisation, and Generative Engine Optimisation for AI search visibility; and (3) a complete Google Analytics 4 Glossary with A–Z definitions of events, parameters, dimensions, metrics, and attribution models. All resources are free with no account required.
Reference materials built for real SEO work
These resources go deeper than tool outputs — they are reference materials you return to repeatedly. Whether you are studying for an interview, auditing a site against a structured checklist, or decoding GA4 terminology in a client report, each resource is built around the questions that come up most in real practice.
Free and always up to date: All three resources are maintained to reflect current best practices — covering the AI search era (GEO, AEO), modern GA4 event-based tracking, and the full breadth of technical SEO across crawl, index, schema, and Core Web Vitals performance.
3 Free SEO Resources
Each resource is a standalone reference — built for practitioners, not beginners.
Technical SEO Master Exam
A 100+ question multiple-choice exam covering the full scope of technical SEO — crawl budget, indexability, Core Web Vitals, structured data, canonicalisation, hreflang, log file analysis, JavaScript rendering, site architecture, and more. Each question includes a detailed explanation of the correct answer, making this equally useful as a study guide and a self-assessment tool. Suitable for practitioners preparing for agency interviews, certifications, or client-facing audits.
The Complete AEO, SEO & GEO Optimisation Checklist
A structured, actionable checklist covering all three search channels that matter in 2026 — traditional SEO (on-page, technical, links), Answer Engine Optimisation (AEO) for featured snippets and voice search, and Generative Engine Optimisation (GEO) for visibility in AI-generated answers from ChatGPT, Perplexity, and Google AI Overviews. Use it as a site audit framework, a content brief requirement list, or a client deliverable checklist for new site launches.
Google Analytics 4 Glossary
A comprehensive A–Z glossary of Google Analytics 4 terms — covering events, parameters, dimensions, metrics, data streams, attribution models, exploration reports, audience segments, and the key differences between Universal Analytics and GA4. Built for analysts, marketers, and developers who work with GA4 data daily and need a reliable quick reference for terminology in reports, client presentations, and implementation documentation.
Who uses these resources
Practitioners, students, and teams across the full SEO and analytics workflow.
SEO Students & Career Changers
Use the Technical SEO MCQ exam to identify knowledge gaps before interviews, and the AEO/GEO checklist to understand what modern SEO actually covers in 2026.
In-House SEO Teams
Run the AEO/SEO/GEO checklist as a quarterly audit framework across owned properties. Use the GA4 glossary to standardise reporting terminology across the team.
SEO Agencies & Consultants
Use the checklist as a structured client deliverable for audits and new site launches. The MCQ exam helps benchmark new team members against a consistent baseline.
Analytics Professionals
Bookmark the GA4 glossary for fast lookup of event parameters, attribution models, and metric definitions when building reports or explaining GA4 data to stakeholders.
AI Search Practitioners
The AEO/GEO checklist is one of the most thorough public resources on AI search optimisation — covering citation signals, entity clarity, and platform-specific GEO tactics for ChatGPT, Perplexity, and Google AI Overviews.
Founders & Product Teams
Use the checklist as a pre-launch SEO and AI visibility readiness framework, and the GA4 glossary to get up to speed with analytics terminology before working with agencies.
What's inside each resource
A quick summary of what each resource covers and its best use case.
| Resource | Type | Best For | Covers |
|---|---|---|---|
| Technical SEO Master Exam | Practice Exam | Interview prep, skill assessment | Crawl, index, schema, Core Web Vitals, JS rendering, hreflang, site architecture |
| AEO, SEO & GEO Checklist | Checklist | Site audits, pre-launch, AI visibility | On-page SEO, technical SEO, link building, AI citations, AEO, GEO, local SEO |
| Google Analytics 4 Glossary | Reference | GA4 implementation, reporting, client work | Events, parameters, dimensions, metrics, attribution models, UA→GA4 migration |
Suggested learning workflow
These resources work well independently, but complement each other when used in sequence.
Technical SEO Master Exam
Start here to benchmark your current technical SEO knowledge and identify gaps before diving into audits or client work.
→ Take the exam Step 2 — ApplyAEO, SEO & GEO Checklist
Apply your knowledge to a real site using the structured checklist — covering traditional SEO and the AI search channels that matter in 2026.
→ Run the checklist Step 3 — MeasureGoogle Analytics 4 Glossary
Use the GA4 glossary as your ongoing reference for tracking, measuring, and reporting on the SEO improvements you implement.
→ Browse the glossaryFAQ — SEO Resources
What is the Technical SEO MCQ exam?
The Technical SEO Master Exam is a 100+ question multiple-choice practice exam covering crawl budget, indexability, Core Web Vitals, structured data, canonicalisation, hreflang, log file analysis, JavaScript rendering, and site architecture. Each question includes a detailed explanation, making it useful as both a self-assessment tool and a study guide for interviews or certifications. It is free and self-paced with no time limit.
What does the AEO, SEO and GEO checklist cover?
The checklist covers three search channels: traditional SEO (on-page, technical, link building), Answer Engine Optimisation (AEO) for featured snippets and voice search, and Generative Engine Optimisation (GEO) for visibility in AI-generated answers from ChatGPT, Perplexity, and Google AI Overviews. It is designed to work as a site audit framework, a content brief requirement list, or a client deliverable for new site launches.
What is Generative Engine Optimisation (GEO)?
Generative Engine Optimisation (GEO) is the practice of optimising content so that AI-powered answer engines — including Google AI Overviews, ChatGPT Search, and Perplexity — cite or surface your content in AI-generated responses. GEO signals include topical authority, E-E-A-T, direct-answer content structure, entity clarity, schema markup, and clean technical implementation that allows AI crawlers to index and retrieve content reliably.
What is the difference between AEO and GEO?
Answer Engine Optimisation (AEO) focuses on traditional structured answers within Google Search — optimising for featured snippets, People Also Ask boxes, and voice search results. Generative Engine Optimisation (GEO) focuses specifically on AI-generated answer engines like ChatGPT Search, Perplexity, and Google AI Overviews, which use retrieval-augmented generation (RAG) to synthesise answers from multiple sources. Both disciplines share common signals (E-E-A-T, schema, direct-answer structure) but GEO additionally requires entity establishment and topical authority signals that AI systems use for source selection.
Are these resources free? Is an account required?
Yes — all three resources are completely free and require no account, email sign-up, or payment of any kind. The Technical SEO MCQ exam, the AEO/SEO/GEO checklist, and the Google Analytics 4 glossary are all accessible directly without any registration barrier.