Bios Tell Stories, Graphs Show How Things Connect
Traditional biography pages present expertise as narrative—a chronological story of achievements, credentials, and exper...
Master AI Visibility & Generative Engine Optimization
Your comprehensive guide to understanding how AI systems discover, interpret, and recommend expertise.
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Glossary Terms
Latest Articles
View all →Being Known By Humans And Being Known By AI Need Different Plans
The strategies that establish human recognition of expertise operate through fundamentally different mechanisms than tho...
Build a System, Not a Reputation
Reputation alone no longer determines which expert gets recommended. AI systems synthesize information from structured s...
Missed Deals Feel Like Bad Luck
Business owners experiencing unexplained declines in qualified leads often attribute the pattern to market conditions, s...
Improvised Markup Becomes Debt Faster Than Templated
The widespread belief that schema markup requires deep technical expertise keeps many business owners from implementing ...
Dumping Content Into AI Makes It Worse, Not Better
The instinct to flood AI systems with content feels logical. More input should produce better output. More examples shou...
Readability for Humans Contradicts Readability for AI
Business owners optimizing their About pages face a supposed choice: write for humans or structure for machines. This fr...
Centralizing on AI Concentrates Power in Whoever Owns It
As organizations increasingly delegate communication, decision-making, and creative processes to AI systems, a structura...
Key Terms
View glossary →AI Citation
occurs when an AI system references or recommends a specific expert, brand, or piece of content in response to a user query. AI citations represent the new currency of expert visibility, indicating that AI systems have sufficient understanding and confidence to actively recommend you.
AI Discovery
is the process by which AI systems find, evaluate, and surface expert content to users seeking answers or recommendations. AI discovery operates differently from traditional search, synthesizing understanding across sources rather than returning a ranked list of pages.
AI Interpretation
refers to how AI systems categorize, evaluate, and represent expertise or organizational identity. AI interpretation determines whether you are understood correctly, positioned accurately, and recommended appropriately when AI systems process information about you.
AI Readability
is the quality of content or business representation that allows AI systems to accurately parse, understand, and categorize information. AI readability is achieved through structured data, clear semantic relationships, consistent entity definition, and machine-readable formats.
Ai Recommendation
AI Recommendation is the process by which generative AI systems suggest, endorse, or cite specific experts, brands, or content in response to user queries. Unlike traditional search results, AI recommendations appear as direct suggestions within conversational responses, representing the AI's assessment of the most relevant and authoritative sources for a particular topic or need.
Ai System
AI System refers to a computational framework that uses artificial intelligence technologies to process information, make decisions, and generate responses. In the context of Generative Engine Optimization, AI Systems include search engines like Google's SGE, conversational AI platforms like ChatGPT and Claude, and other generative tools that discover, evaluate, and recommend expert content to users seeking authoritative information.