Conversations AI: Best Practices
Following these best practices ensures your Conversations AI functions as a reliable, 24/7 extension of your team, providing accurate information, improving the customer experience, and consistently capturing leads, rather than acting as a static website widget.
To get the most value out of the Business App and AI Chatbot, focus on three key areas: data accuracy, user experience, and proactive lead capture. These elements ensure the chatbot provides reliable answers, supports customers efficiently, and consistently generates new leads.
1. Maximize Data Accuracy
Conversations AI is only as effective as the information it’s trained on. Keeping your data accurate ensures customers receive correct and consistent responses.
- Keep the Business Profile Up to Date. Conversations AI pulls key details such as business hours, location, and services directly from the Business Profile. Any changes, such as holiday hours, new services, or updated contact information, should be posted here first to prevent incorrect responses.
- Maintain a Strong FAQ Library. Use the FAQ section in Conversations AI Assistant settings to address common customer questions that may not be clearly answered on the website. A strong FAQ library helps the chatbot respond accurately to more detailed or complex inquiries.
- Train Conversations AI on Specific Website Pages. Instead of training Conversations AI on your entire website, focus on your most valuable pages such as About Us, Services, Pricing, and Contact. Focusing on specific web pages keeps responses more accurate and reduces irrelevant or confusing answers.
2. Optimize The Conversations AI User Experience
A strong user experience builds trust and increases engagement. Customers are more likely to interact with the chatbot when it feels helpful, clear, and professional.
- Personalize the Chatbot Persona. Assign Conversations AI a name and define a consistent .g. (e.g., professional and friendly, or supportive and informative) through the Additional Instructions settings.
- Set Clear Expectations in the Greeting Message. Use a welcome message that explains what the chatbot can assist with, such as booking appointments, answering service questions, or collecting contact information.
- Example: “Hi! I’m [Name]. I can help you schedule an appointment or answer questions about our services.”
- Configure Working Hours Appropriately. If your team prefers to handle more complex conversations during the day, set the chatbot to focus on lead capture during business hours and provide full automated support after hours.
3. Proactive Lead Capture and Sales Enablement
Lead capture and appointment booking are the biggest drivers of return on investment. These settings ensure that Conversations AI actively supports sales rather than just responding to questions.
- Connect your Calendar. Integrating Google Calendar or Outlook Calendar allows the chatbot to schedule real appointments directly through chat or SMS, creating immediate value and reducing missed opportunities.
- Enable Missed Call Texts. Configure the Conversations AI phone number to automatically send a follow-up text to anyone who calls and doesn’t get an answer. Faster follow-up improves conversion rates and helps win business before customers contact competitors.
- Link Social Media Channels. Connect Facebook and Instagram so the same chatbot persona can respond consistently across all platforms, improving customer experience and lead capture across every channel.
4. Safety and Ongoing Maintenance
Maintaining the chatbot ensures it continues to improve over time and stays aligned with your business standards.
- Review Conversations Regularly. Check the Unified Inbox weekly to monitor performance. If the chatbot struggles with a repeated question, add the correct response to the knowledge base or FAQ section.
- Set Safety Guardrails. Use Additional Instructions to prevent the chatbot from discussing sensitive topics or providing medical, legal, or financial advice.
- Test Before Going Live. Always use the “Try It” testing environment to validate new training content, FAQs, or instructional updates before applying them publicly.