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Create professional voice AI scripts with our guided builder. Best practices built-in for greetings, objection handling, and closings.
Fill in the sections to generate a professional voice AI prompt
Select a preset to auto-fill, then customize
Use {variable} for dynamic content
Click to copy, then paste into your script
Proven techniques for effective voice AI
Start Strong
Be Conversational
Handle Objections
Respect Time
Clear Closing
Use Variables
See how effective scripts are structured
Order Status Update
Appointment Reminder
Common questions about voice scripting
Good voice scripts are conversational (not robotic), concise (people don't read, they listen), clear about the purpose, and handle common responses. They include greetings, the main message, objection handling, and a clear closing.
Keep initial messages under 15 seconds (about 40-50 words). Total call scripts should aim for 2-4 minute conversations. Longer scripts risk customer drop-off. Be efficient - every word should earn its place.
Match your brand voice. For B2B sales, slightly formal works. For consumer support, friendly and conversational is better. Avoid jargon. Use contractions (don't vs do not) for natural speech.
Anticipate common objections and build responses. For example, 'I'm busy' could trigger 'I understand, I'll be quick - just 30 seconds.' The builder helps you add these conditional responses.
Yes, use placeholders like {customer_name}, {order_id}, {appointment_time}. These are replaced with actual values during calls. The builder shows you available variables for your use case.
Scripts are rigid, pre-written text. Prompts give the AI context and goals, letting it generate natural responses. Our builder creates prompts - you define what the AI should achieve, not exact words.
Yes, the builder includes a preview mode. For real testing, start a free trial to test scripts on actual phone calls. Testing is the best way to refine your conversation design.
Listen to call recordings to identify where customers drop off or get confused. Common issues: too long greetings, unclear purpose, missing objection handling. Iterate based on real call data.
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