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The most obvious solution here was to rewrite each of these backend C# systems as Unreal C++ code. This would be an incredibly risky undertaking. There were hundreds of backend APIs that needed to be converted like this. Furthermore, each of these APIs relied on complex interlocking logic systems powered by the aforementioned custom conditional language. The C++ code would also need to be able to parse and understand this language to support all the existing content. Without our established C# test suite, it would be extremely tricky to pin down functionality and make sure every edge case was accounted for. Was this even possible in just 6 months?
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The data collected enables strategic decisions about content creation and optimization. If certain queries consistently show competitor sources but never yours, that signals an opportunity to create or improve content addressing that topic. If you're appearing reliably for some questions but not others in the same category, you can analyze what makes your successful content different and apply those lessons to underperforming pieces. If your visibility is declining over time, you know you need to refresh and strengthen your content to maintain AI citation rates.
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Любовь Ширижик (Старший редактор отдела «Силовые структуры»)