AI SEO #ai-seo
AI SEO is the practice of optimizing for AI-powered search engines and assistants like ChatGPT, Claude, Perplexity, and Google's AI Overviews. The signals that matter are different: clear structure, citable facts, schema, and content that answers questions directly. These guides cover what changes and what stays the same.
6 posts
The Year in Title Myth and What Core Updates Actually Move
Adding the current year to your title tag is not a ranking signal. This guide walks through what core updates actually evaluate, why some old pages climb back, what Information Gain is, and how to read post-update panic without making it worse.
llms.txt: Do AI Engines Actually Read It?
llms.txt is supposed to feed your content to AI models. The evidence says no major engine fetches it yet. Here is what the proposal claims, what server logs show, and what AI actually uses.
The Complete Guide to robots.txt: Rules, Examples, and AI Crawlers
robots.txt controls what search engines and AI crawlers can access. Learn the syntax, common patterns, and how to handle GPTBot, ClaudeBot, and PerplexityBot.
Best SEO Crawlers in 2026: Free, Open Source, and Commercial Tools Compared
Compare free, open source, and commercial SEO crawlers. What each catches, when each wins, and how to pick the right tool for your site in 2026.
Schema Markup for SEO and AI Search: A Practical Guide
Learn what schema markup is, how to add structured data to your pages, and why it matters for both Google rankings and AI search citations.
Generative Engine Optimization (GEO): How to Rank in AI Search and Google at the Same Time
Learn what Generative Engine Optimization is, how AI search engines pick their sources, and how to optimize your site for both Google and AI-powered answers.