The entire pipeline executes in a single call stack. No promises are created, no microtask queue scheduling occurs, and no GC pressure from short-lived async machinery. For CPU-bound workloads like parsing, compression, or transformation of in-memory data, this can be significantly faster than the equivalent Web streams code — which would force async boundaries even when every component is synchronous.
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Fourth, set up basic tracking even if you don't build a comprehensive system immediately. Create a simple spreadsheet listing queries where you want visibility. Test those queries weekly in one or two AI platforms and note whether your content appears. This manual tracking takes just 15-30 minutes weekly but provides feedback on whether your optimization efforts are working.