#Generative Engine Optimization
26 articles tagged
How to get a Wikipedia page for your company (notability path)
A company Wikipedia page is earned through independent notability, not created as a marketing asset. Use this go/no-go path before drafting.
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Why 120-180 word sections earn 70% more AI citations
Section length is an extraction problem. The 120-180 word range gives ChatGPT enough context to cite a passage without burying the answer.
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Best x for y listicles: why they dominate AI citations
Best x for y pages dominate AI citations because they match how answer engines resolve recommendation queries. Here is how to build one honestly.
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Why comparison tables earn 2.5x more AI citations than prose
A table gets lifted into an AI answer whole. The same data in a paragraph gets skipped. Here is the evidence, the mechanism, and how to build one that cites.
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The answer capsule technique: 40 to 60 word direct answers for AI extraction
AI engines retrieve passages, not pages. The answer capsule is the 40 to 60 word block they lift. Here is how to write one that gets cited.
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How to get a Google knowledge panel without a Wikipedia page
You do not need a Wikipedia page to earn a Google knowledge panel. The real path is Wikidata, entity schema, and independent third-party corroboration.
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AI crawler traffic breakdown, and why ClaudeBot sends nothing back
ClaudeBot now crawls 11,000 pages for every visit it refers. What the 2026 AI crawler traffic breakdown means for your visibility strategy.
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Why LLMs rarely cite Substack or Medium (the 0.07% reality)
Substack earns 0.07% of AI citations and Medium 0.36%. Why newsletter and blog-host platforms underperform, and where to publish instead.
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How LLMs use YouTube for brand citations (transcript extraction)
YouTube is the #2 social source in AI answers, but LLMs cite the transcript, not the video, and ChatGPT barely uses it. How to structure video for citation.
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How LLMs use Reddit for product and category queries
Reddit is the single most-cited domain in AI search, but LLMs pull old, low-vote threads, not viral posts. How they really use Reddit for product queries.
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