The performance characteristics are attractive with incredibly fast cold starts and minimal memory overhead. But the practical limitation is language support. You cannot run arbitrary Python scripts in WASM today without compiling the Python interpreter itself to WASM along with all its C extensions. For sandboxing arbitrary code in arbitrary languages, WASM is not yet viable. For sandboxing code you control the toolchain for, it is excellent. I am, however, quite curious if there is a future for WASM in general-purpose sandboxing. Browsers have spent decades solving a similar problem of executing untrusted code safely, and porting those architectural learnings to backend infrastructure feels like a natural evolution.
Several commercial tools have emerged to fill this gap, offering AIO tracking and monitoring services. Ahrefs introduced features for tracking AI visibility at $129 per month. SE Ranking offers similar capabilities starting at $95 monthly. First Answer provides specialized AIO tracking for $39 per month but limits you to just 10 query tests. Keyword.com offers competitive pricing with various tier options.
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