R-U-KnownGEO, AEO, LLMO and AI Search Visibility: What Is the Difference?
Understand what each term means, where the concepts overlap, and how to connect improvement work to measurable AI visibility.
Read the guideR-U-Known knowledge hub
Understand the search AI is building.
Practical guides to generative engine optimization, AI search visibility and the evidence behind the answers your customers see.
Latest thinking
Five foundations for measuring visibility beyond rankings.
AI Citation Tracking: How to Find the Sources Behind AI Answers
Understand citations, grounding sources, competitor citation gaps, and why retrieval evidence is not the same as a recommendation.
Read the articleWhy Does AI Recommend One Brand Instead of Another?
Understand the role of relevance, evidence, entity clarity and competitor recommendations in AI-generated answers.
Read the articleAI Competitor Analysis: How to See Which Brands AI Recommends Instead of Yours
Compare competitor appearances, recommendations, question coverage and supporting sources across AI-generated answers.
Read the analysisHow R-U-Known Measures AI Visibility: From Benchmark Evidence to Action
Learn how structured questions, AI responses, sources, frozen benchmarks and evidence-backed recommendations connect into a repeatable improvement cycle.
Read methodologyFrom Invisible to Recommended: A Practical Method for Measuring AI Visibility
See how a locked 50-question benchmark reveals movement from Invisible to Discovered to Recommended after evidence-informed changes.
Read the case studyWhat Is Generative Engine Optimization (GEO)? A Practical Guide to Getting Found in AI Search
Learn how GEO complements SEO, how AI systems discover and represent brands, and what to measure when the answer is no longer just a list of links.
Read the guideAI Search Visibility: How to Measure Whether AI Search Engines Know Your Brand
Separate invisible, mentioned, cited and recommended outcomes to understand what AI actually knows about your brand.
Read articleAI Tracker: What You Should Measure Beyond Rankings and Website Traffic
What a useful AI tracker should measure: prompts, mentions, recommendations, competitors, sources and movement over time.
Read articleAI Search Monitoring vs Traditional SEO Monitoring: What's the Difference?
See where traditional SEO monitoring ends and AI search monitoring begins — and why a strong strategy needs both.
Read articleAI Brand Mentions: How to Track When AI Recommends Your Brand
Go beyond mention counts by distinguishing incidental mentions, citations, recommendations and competitor visibility.
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