Insights & Tutorials

What you'll learn:

• What agentic browsing is.
• How Lighthouse checks AI readiness.
• Five steps to optimize your site.
• Using WebMCP and llms.txt for AI agents.

What you'll learn:

• Compare UCP, MCP, and ACP and understand how they fit into the five layer agentic protocol stack
• Learn why Google's UCP went from announcement to live in two months while OpenAI's ACP pivoted to discovery only
• Know how these protocols affect ecommerce SEO, agent visibility, and brand safety
• Get actionable steps to prepare your store for agentic commerce starting with schema and protocol selection

What you'll learn:

• What AI agent skills are and how they differ from plugins.
• How progressive disclosure loads skills in 3 stages with minimal token cost.
• How to write a SKILL.md file with proper YAML frontmatter.
• How to build, test, debug, and share agent skills across platforms.

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:

• What the accessibility tree is.
• Why AI agents depend on it.
• How to check your tree in Chrome.
• Five common problems and fixes.

What you'll learn:

• AI agents plan, search, and verify across sources.
• Agentic search completes tasks autonomously.
• Optimize for discovery, clarity, and authority.
• Agentic site search uses multi-step retrieval.

What you'll learn:

• Discover why code intent over search volume determines AI agent keyword value
• Learn to mine GitHub trending for agent keyword triples across repositories
• Understand framework-anchored entity clusters versus generic topical buckets
• Master per-engine citation tracking across Claude Code, Codex, and ChatGPT

What you'll learn:

• How AI search engines differ from traditional search and why extractable content drives citations
• The answer-first content framework and schema markup strategies that boost AI visibility
• Platform-specific tactics for Google AI Overviews, ChatGPT Search, Perplexity, and Copilot
• Off-site optimization, co-occurrence strategies, and measurement tools for AI search performance