\#Knowledge Depth — Blog — BrandGEO A Markdown version of this page is available at https://brandgeo.co/blog/tag/knowledge-depth.md, optimized for AI and LLM tools. \#Knowledge Depth =================== 3 posts in #Knowledge Depth Apr 20, 2026 [SEO](https://brandgeo.co/blog/category/seo) [Tutorials](https://brandgeo.co/blog/category/tutorials) [The Wikipedia Lever: How a Well-Structured Entry Moves Your Knowledge Depth Score](https://brandgeo.co/blog/wikipedia-lever-knowledge-depth-score) ----------------------------------------------------------------------------------------------------------------------------------------------------- Of every lever in Generative Engine Optimization, a well-formed Wikipedia entry has the most predictable payoff on how LLMs describe your brand. Wikipedia corpora are oversampled in nearly every major model's training data, cited heavily by search-augmented providers, and treated as a canonical fact source. Yet most brands either have no entry at all, a three-sentence stub, or an entry that was edited once in 2021 and left to rot. This is the playbook to fix that without getting your article deleted or your account blocked. Apr 12, 2026 [AI Visibility](https://brandgeo.co/blog/category/ai-visibility) [The Three States of Brand Visibility in LLMs: Invisible, Mis-Described, Mis-Contextualized](https://brandgeo.co/blog/three-states-brand-visibility-invisible-misdescribed-miscontextualized) ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- When a marketing team receives their first AI visibility audit, the scores are not the most useful part of the document. The most useful part is the qualitative observation — what the models actually said about the brand, in plain text, across providers. Read closely, those observations almost always resolve into one of three distinct patterns. Each pattern has a different root cause. Each calls for a different response. Mixing them up is the single most common way an audit gets under-used. This post defines the three states, shows how to distinguish them, and explains why each demands a different strategy. Mar 18, 2026 [AI Visibility](https://brandgeo.co/blog/category/ai-visibility) [Tutorials](https://brandgeo.co/blog/category/tutorials) [The Six Dimensions of AI Brand Visibility: A Practitioner's Explainer](https://brandgeo.co/blog/six-dimensions-ai-brand-visibility-explainer) ------------------------------------------------------------------------------------------------------------------------------------------------ A single AI visibility score is a tempting shortcut. It is also a lossy one. "Your brand scores 63/100 on ChatGPT" does not tell you what to fix, or whether to fix anything at all. A useful audit breaks the score into dimensions — component questions, each with its own diagnostic and its own remedy. BrandGEO scores on six dimensions across a 150-point scale, normalized to 0–100. This post is a practitioner's explainer of each dimension: what it measures, why it matters, and what moves it. 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