How do you conduct a technical SEO audit for AI readiness in 2026?
I believe a technical SEO audit for AI readiness must focus on “machine-readability” and “entity-clarity” rather than just traditional keyword density. To be AI-ready, your site must provide a clean, structured data layer that AI crawlers can parse without friction. This involves auditing your llms.txt file, verifying your JSON-LD schema for entity connections, and ensuring […]
How to Use Structured Data for AI Crawlers
In 2026, structured data has evolved from a “nice-to-have” for rich snippets into the primary infrastructure for Answer Engine Optimization (AEO). AI crawlers—such as Google-Extended, GPTBot, and PerplexityBot—use structured data as a “reading map” to bypass website noise (like navigation and ads) and directly ingest your facts. Sites with “AI-complete” structured data are cited up […]
What are the GEO ranking signals?
Generative Engine Optimization (GEO) ranking signals differ significantly from traditional SEO. While SEO focuses on ordering a list of links based on popularity (backlinks) and keywords, GEO focuses on confidence, citation, and sentiment to determine which single answer to construct for the user. 1. Citation Authority and “Share of Voice” In the GEO landscape, the […]
LLMs.txt: The New Frontier of Content Control and AI Indexing
The rise of Large Language Models (LLMs) and their use in generative search interfaces like Google’s AI Overviews and ChatGPT’s live search has disrupted the content-to-traffic pipeline. For years, the robots.txt protocol was the key gatekeeper, instructing search engines on what not to index. Today, the challenge is not just about excluding content, but also […]