llm-visibility
The attribution problem is not new. Writers have always contended with their ideas being absorbed, repackaged, and circulated without credit. What is new is the scale and the mechanism. Large language models trained on web-scraped data incorporate your content into their operational knowledge — your
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Authority is not a new problem. Emerson built it through the lyceum circuit, lecturing in town after town until his name carried weight before he entered the room. Thoreau built it through specificity — he knew exactly how many boards his cabin required, and that precision made every philosophical c
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Structure is how machines read. A human reader can navigate a poorly organized article through patience and inference, scanning for the paragraph that answers their question, tolerating buried key points and ambiguous headings. A retrieval system cannot. When an LLM's search layer pulls your page fr
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Generative Engine Optimization is the practice of structuring your content so that AI-powered information systems are more likely to cite it, reference it, or link to it when answering user queries. The term is new — it entered the conversation around 2024 as researchers began studying how content c
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Generative Engine Optimization is not a single technique applied uniformly across everything you publish. An informational article, a product page, a service description, and a local business listing each serve different user intents, each are retrieved by LLMs in different contexts, and each requir
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There is a version of this conversation that treats GEO and SEO as separate disciplines, requiring separate budgets, separate teams, and separate strategies. That version is being sold by agencies who discovered that adding "Generative Engine Optimization" to their service offerings justifies a new
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Understanding how large language models select the sources they reference is strategic intelligence. It is the difference between publishing into a void and publishing into a system that knows how to find you. The mechanics are more accessible than they appear, and they reward the same qualities tha
llm-visibility
The way people find information is shifting beneath our feet. For two decades, Google was the front door — you typed a query, scanned ten blue links, and clicked through to a website. That model is not dead, but it is no longer alone. A growing share of questions now flow through large language mode
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Not all front doors are built the same. When we talk about LLMs as the new information interface, we are talking about a half-dozen platforms with fundamentally different architectures, different relationships to source material, and different citation practices. Google AI Overviews draws from one o
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You cannot manage what you do not measure. This has been true since Thoreau counted his beans and logged his expenses to the half-cent — the act of measurement was itself an act of sovereignty, proof that he was paying attention to the life he was building rather than drifting through it. In the con