Free education hub for marketers, SEO professionals, and agencies mastering AI search. Written by practitioners. No fluff, no gates, no email required.
Learning paths
Each path is a curated sequence of guides. Start at the beginning or jump to what you need.
Everything you need to know about getting your brand cited by AI search engines. From ranking factors to implementation, this is the complete GEO playbook.
Every known signal that AI engines use to decide citations. Organized by category with importance ratings and optimization tips.
The schema types that AI engines care about, with copy-paste code examples and implementation instructions for each one.
The robots.txt of the AI era. Learn what llms.txt is, how to implement it, and which AI platforms use it to decide citations.
A complete configuration guide for managing AI crawlers. Learn the difference between training bots and search bots, and choose the right access strategy.
Move beyond basic Organization and Article schema. Advanced structured data patterns that directly improve how AI engines extract and cite your content.
GA4 does not separate AI traffic by default. This guide shows you how to create custom channel groups, track AI referrals, and catch visits that GA4 misses.
AI engines build knowledge graphs about brands. A strong entity presence across Wikidata, Google, and the web makes AI citation consistent and accurate.
AI engines extract specific content chunks for citations. This guide covers the chunk sizes, heading patterns, and page architecture that maximize extractability.
Every known AI bot, its user-agent string, crawling behavior, and whether you should allow or block it. Plus robots.txt templates.
AI visibility determines whether ChatGPT, Perplexity, and other AI engines cite your brand. Here is what it means and why every brand needs to pay attention.
A hands-on tutorial that walks you through every step of your first AI visibility audit, from crawler checks to content scoring.
SEO, GEO, and AEO all optimize for different systems. This guide explains what each covers, where they overlap, and which combination you need.
How AI engines find, evaluate, and cite sources when answering questions. No jargon, no prerequisites. Just clear explanations of how the system works.
Specific strategies to get ChatGPT to cite your brand. Based on research into how OpenAI selects sources for citations.
Perplexity always cites sources with clickable links, making it the most transparent AI search platform. Here is how to get your brand in those citations.
Google AI Overviews appear in 30% of searches and growing. Here is how to get your content cited in these AI-generated summaries.
Beyond ChatGPT and Google, Claude, Grok, and DeepSeek represent growing AI platforms with distinct citation patterns. Here is how to optimize for each.
Microsoft Copilot reaches hundreds of millions of users across Windows, Edge, and Office. Here is how it selects sources and how to optimize your presence.
Your visibility score looks fine, but are you gaining or losing ground? The VAMP framework measures AI visibility momentum, not just current position.
Your competitors may already dominate AI search results for your target queries. Here is how to identify the gaps and build a plan to close them.
When users ask AI for product recommendations, your product pages need to be citable. E-commerce-specific strategies for AI visibility.
When users ask AI which software to use, your SaaS product needs to be in the answer. SaaS-specific strategies for dominating AI recommendations.
AI engines reward fresh, comprehensive content. This guide shows you how to build a publishing cadence that maximizes citation frequency.
Agencies need to add AI visibility to their reporting stack. This guide covers multi-client tracking, benchmarks, and how to present AI visibility to clients.
ChatGPT does not cite brands randomly. Five structural factors decide. We break each one down with data from BrandCited scans.
Claude's citation behavior differs from ChatGPT in predictable ways. Four factors control what Claude names, and each one has a specific fix.
Gemini inherits Google's entire ranking stack. Five signals from the Google ecosystem determine Gemini citations, and they are mostly the same signals SEOs already optimize.
Perplexity shows its sources inline. That makes it the most measurable AI engine — and the most responsive to GEO work. Four factors drive Perplexity citations.
Multi-module courses with video lessons, templates, and certificates. Sign up to get early access.
12 lessons
Beginner18 lessons
Advanced14 lessons
Advanced10 lessons
IntermediateConnect with 2,000+ AI visibility practitioners learning and building together.
Real-time chat with practitioners, weekly Q&As, and peer feedback on your AI visibility strategy.
Launching Q3 2026AI visibility tips, platform updates, and case studies every Tuesday. 3,000+ subscribers.
Live deep-dives on AI visibility tactics with Q&A. Free for all BrandCited users.
Launching Q2 2026Every guide is free. Most teams go from zero to cited in under 30 days.
