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Your customer support articles aren't designed for AI success
Is your AI chatbot failing your customers? I’m diving into the #1 reason your AI support is missing the mark: your knowledge foundation. If your chatbot is delivering wrong answers, sending customers in circles, or just not working, the problem isn’t the tech—it’s what you’re feeding it.
In Part 2 of my 4-part series on Implementing Successful AI Chatbots on the Rush to Resolution podcast, I share 7 principles to rebuild your knowledge base for both self-serve support and AI-powered success. You’ll learn how to conduct a comprehensive knowledge audit, rewrite content for AI consumption, and structure info to match how customers actually ask questions.
By the end, you’ll have a blueprint to turn your failing AI chatbot into a customer support asset. Plus, stick around for a 3-step framework and a roadmap to measurable results in one quarter.
-----------------
Struggling with AI implementation?
Contact me to book a FREE 30-minute strategy session with me. I’ll review your setup, pinpoint the issues, and map out next steps to make your chatbot a competitive advantage.
💪 Schedule your free strategy session: https://rushtoresolution.com/contact/
💡 Subscribe for more CX strategies: https://rushtoresolution.com/blog/
If you found this helpful, let me know with the like button and share it with your team. Let’s get your AI support back on track. Have a great day and a productive week!
-----------------
Follow me:
▶️ https://www.youtube.com/@RushtoResolution
📚 https://www.linkedin.com/company/rush-to-resolution/
🎧 https://open.spotify.com/show/014w3U7ar2Mnr7k6RC9P3A?si=f581e51503cc4661
🆇 https://x.com/brettrush
🦋 https://bsky.app/profile/brettrush.bsky.social/
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By Brett RushIs your AI chatbot failing your customers? I’m diving into the #1 reason your AI support is missing the mark: your knowledge foundation. If your chatbot is delivering wrong answers, sending customers in circles, or just not working, the problem isn’t the tech—it’s what you’re feeding it.
In Part 2 of my 4-part series on Implementing Successful AI Chatbots on the Rush to Resolution podcast, I share 7 principles to rebuild your knowledge base for both self-serve support and AI-powered success. You’ll learn how to conduct a comprehensive knowledge audit, rewrite content for AI consumption, and structure info to match how customers actually ask questions.
By the end, you’ll have a blueprint to turn your failing AI chatbot into a customer support asset. Plus, stick around for a 3-step framework and a roadmap to measurable results in one quarter.
-----------------
Struggling with AI implementation?
Contact me to book a FREE 30-minute strategy session with me. I’ll review your setup, pinpoint the issues, and map out next steps to make your chatbot a competitive advantage.
💪 Schedule your free strategy session: https://rushtoresolution.com/contact/
💡 Subscribe for more CX strategies: https://rushtoresolution.com/blog/
If you found this helpful, let me know with the like button and share it with your team. Let’s get your AI support back on track. Have a great day and a productive week!
-----------------
Follow me:
▶️ https://www.youtube.com/@RushtoResolution
📚 https://www.linkedin.com/company/rush-to-resolution/
🎧 https://open.spotify.com/show/014w3U7ar2Mnr7k6RC9P3A?si=f581e51503cc4661
🆇 https://x.com/brettrush
🦋 https://bsky.app/profile/brettrush.bsky.social/