Technical SEO Articles

What you'll learn:

• Enable & configure access logs for SEO
• Detect crawl budget waste in logs
• Find orphan pages & indexation gaps
• Analyse AI crawler behaviour patterns

What you'll learn:

• Choose the right rendering strategy (SSR, SSG, CSR, ISR) for your SPA to ensure crawlability.
• Configure clean URLs, proper routing, and meta tags that search engines can read.
• Implement structured data, canonical tags, and dynamic sitemaps for JavaScript-rendered pages.
• Test and monitor indexation with Google's rendering tools and track render queue delays.

What you'll learn:

• Identify 15 critical technical SEO issues that hurt rankings.
• Understand crawl optimization, indexation strategy, and Core Web Vitals.
• Learn how structured data and AI search visibility affect your site.
• Get a prioritized fix plan with clear timelines and expected impact.

What you'll learn:

• 10 dimensions where GEO and traditional SEO differ
• Why AI citation metrics replace traditional ranking KPIs
• How content structure changes when the reader is an AI model
• The faster timeline for GEO results compared to SEO
• How to integrate both strategies for maximum visibility

What you'll learn:

• Decide which SEO tasks to fully automate, gate with human review, or never automate
• Apply the reversibility spectrum (change cost, measurement lag, failure severity) to any task
• Avoid the five most common automation failure patterns that break live sites
• Calculate whether an automation tool or script will actually save you time and money

What you'll learn:

• Design link architecture for equity, crawl efficiency, and AI discovery.
• Use pillar-cluster topology for topical authority and faster indexation.
• Audit framework to find orphan pages, anchor drift, and depth issues.
• Fix common linking mistakes that leak authority without losing rankings.

What you'll learn:

• Detect AI crawlers via logs, GA4, and bot tools.
• Configure robots.txt and llms.txt for AI crawler control.
• Identify AI crawler user-agents and handling rules.
• Structure content for better LLM citations and AI visibility.

What you'll learn:

• How generative search engines read and extract your content
• Content architecture: silos, pillar pages, and internal linking for AI discoverability
• Landing page design principles that convert AI referral traffic
• The Source Stack: what LLMs trust and how to earn citations
• How to measure and optimize for generative search performance