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GEO SEO (Generative Engine Optimization) is the practice of optimizing content for AI-powered search engines like ChatGPT and Perplexity. Learn how GEO differs from traditional SEO and why it matters.

AEO (Answer Engine Optimization) is the process of optimizing your content to be cited by AI answer engines like ChatGPT, Perplexity, and Google AI Overview. Learn the complete AEO strategy.

Learn a step-by-step AI SEO strategy to get your business recommended by ChatGPT, Perplexity, and Google AI Overview. From entity optimization to citation building.

A 2026 analysis found a 46x difference in citation rates between AI platforms. ChatGPT, Perplexity, and Google AI Overviews have completely different source preferences. Here's what each one actually responds to.

AI models update continuously. Your brand's description in those models changes with each update — often without your knowledge. Here's what LLM perception drift is, why it matters, and how to detect and correct it.

LLMs.txt is a root-level file that tells AI crawlers how to understand your website. Learn what it is, how it differs from robots.txt and sitemap.xml, and how to create one that improves your AI visibility.

ChatGPT uses training data and real-time search with different source selection logic. Learn the 5 factors that determine if ChatGPT recommends your brand and why good Google rankings aren't enough.

Schema markup is a machine-readable trust signal for AI systems. Learn which structured data types — FAQPage, Organization, HowTo, Speakable — drive AI citations and how to implement them correctly.

Traditional SEO metrics miss AI visibility entirely. Learn Share of Model (SoM), Citation Rate, AI referral traffic tracking in GA4, and how to build a prompt bank that measures your brand's AI presence.

Entity authority determines how AI systems understand and recommend your brand. Learn how to build entity presence through Wikipedia, Wikidata, NAP consistency, schema markup, and unlinked brand mentions.

GEO PR differs from SEO PR in one key way: it optimizes for AI citation authority, not just backlinks. Learn how LLMs weight publication tiers, the citation multiplier effect, and how to build a PR strategy for AI visibility.

llms.txt is a Markdown file that tells AI systems how to understand your website. Learn what it is, how ChatGPT and Perplexity use it, the full specification, and how to create yours in 90 seconds.

A section-by-section analysis of Supabase's llms.txt file scored against an 8-point quality framework. Learn what makes their implementation effective and where it falls short.

A technical reference guide to the llms.txt format. H1, blockquote, sections, links, Optional, Instructions, and entity grounding explained with code examples and common mistakes to avoid.

robots.txt controls crawler access. sitemap.xml maps your URLs. llms.txt explains your site to AI. Learn what each file does, how they work together, and how to set up all three for AI visibility.