The next consideration is information density and specificity. AI models favor content that provides concrete, actionable information over vague generalizations or superficial coverage. This means investing in depth rather than breadth for your most important topics. A comprehensive 3,000-word guide that thoroughly addresses a topic will typically perform better in AI citations than ten shallow 300-word articles that skim the surface.
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If you look at all of the JS glue code for the single call to console.log above, you’ll see that there is a lot of overhead. Engines have spent a lot of time optimizing this, and more work is underway. Yet this problem still exists. It doesn’t affect every workload, but it’s something every WebAssembly user needs to be careful about.