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SpyderBot Earns a 96.53 Proof of Usefulness Score by Building Real-Time GEO Analytics to Track LLM Mentions
How-ToMachine Learning

SpyderBot Earns a 96.53 Proof of Usefulness Score by Building Real-Time GEO Analytics to Track LLM Mentions

via HackernoonTuan Tran12h ago

SpyderBot is a cutting-edge LLM analytics platform that reveals exactly how AI models like ChatGPT, Grok, and Gemini see your brand and your competitors. Using a network of over 20,000 distributed LLM-bots, SpyderBot tracks real-time Share of Voice, competitor visibility scores, sentiment analysis, and LLM crawler activity on your website — insights that traditional analytics tools completely miss. For brands and agencies, it answers critical questions: → Where do we rank in AI answers? → Which competitors are winning LLM mentions? → How much AI traffic are we actually getting (or losing)? Pre-launch but gaining strong traction with ~30 new registrations monthly and active angel/seed fundraising. SpyderBot empowers businesses to optimize for Generative Engine Optimization (GEO), close visibility gaps, and capture the next wave of AI-driven traffic and revenue. Stop flying blind in the AI era.

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