The distinction matters because tactics that boost Google rankings don't automatically improve your chances of being cited by AI models, and vice versa. A page optimized perfectly for SEO might never appear in AI responses if it doesn't align with how language models evaluate content. Conversely, content that AI models consistently cite might not rank highly in traditional search if it lacks conventional SEO signals.
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We know where it broke, but we can’t see why. Was it a race condition? Did a database read return stale data that has since been overwritten? To find the cause, we have to mentally reconstruct the state of the world as it existed milliseconds before the crash. Welcome to debugging hell.
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Dodrio was perfect for this because it computed all the required DOM modifications separately from actually applying them. This allowed us to precisely measure the impact of JS glue code by swapping out the “apply DOM change list” function while keeping the rest of the benchmark exactly the same.
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