Call Script

Generate structured call scripts with personalized talking points, objection handling, and conversation starters based on real-time insights about your prospect and their company.

Basic Request

import requests

url = 'https://api.autobound.ai/api/external/generate-content/[UPDATE-VERSION]'
headers = {
    'X-API-KEY': 'YOUR-API-KEY-HERE',
    'Content-Type': 'application/json'
}
data = {
    "contactEmail": "[email protected]",
    "userEmail": "[email protected]",
    "contentType": "callScript"
}

response = requests.post(url, headers=headers, json=data)
print(response.text)

Here's what was generated with the request above

Call Script: Henry Schuck, ZoomInfo CEO

Opening:

  • "Hi Henry, Daniel from Autobound here. Caught your recent podcast with Auren about building ZoomInfo's growth story."

Context & Trigger Events:

  • Recent earnings showed -5% revenue decline
  • HubSpot expanding into contact data space post-Clearbit acquisition
  • Currently hiring 18 SDRs across three locations
  • James Roth leading sales transformation initiatives

Key Questions:

  • "With the increasing competition from HubSpot in the data space, how are you thinking about differentiating through your sales team's effectiveness?"
  • "I noticed you're hiring 18 SDRs - what's the biggest challenge in getting them to full productivity?"
  • "How are you currently addressing personalization at scale across your SDR team?"

Value Props to Highlight:

  • 60-120x faster email personalization
  • Proven 2-3x increase in response rates
  • Integration with existing tech stack

Rapport Building Points:

  • 3 Autobound employees worked with ZoomInfo leadership at previous companies
  • Recent podcast appearance with Auren Hoffman

If Asked About Pricing:

  • "We typically see a 10x ROI within 90 days through increased SDR productivity and pipeline generation."

Next Steps:

  • Schedule technical review with James Roth (CRO) to discuss implementation

Response Format

{
    "type": "callScript",
    "contactEmail": "[email protected]",
    "contactCompanyName": "Zoominfo",
    "contactJobTitle": "CEO",
    "contentList": [
        {
            "content": "Call Script: Henry Schuck, ZoomInfo CEO\n\nOpening:\n\"Hi Henry, Daniel from Autobound here...",
            "modelUsed": "opus",
            "contentItemId": "1c499f1c-845b-4321-a817"
        }
    ],
    "insightsUsed": [
        {
            "insightId": "987fea93-b711-49d0",
            "name": "Appeared in podcast",
            "type": "socialMedia",
            "subType": "podcast",
            "variables": {
                "title": "Henry Schuck (CEO of ZoomInfo): Building A Billion Dollar Data Company",
                "snippet": "Henry Schuck, CEO of ZoomInfo (NASDAQ: ZI), talks with World of DaaS host Auren Hoffman...",
                "website": "https://podcasts.apple.com/us/podcast/henry-schuck-building-zoominfo/id1154105909"
            },
            "score": 195
        },
        // ... [same insights as previous example]
    ],
    "salesAssetsUsed": [
        {
            "name": "ai_email_writer",
            "salesAssetId": "a07ecf19-fad0-40fb-a4c1-d9bb522d046a",
            "text": "Autobound's AI Email Writer enables..."
        }
    ],
    "valuePropsUsed": [
        {
            "valuePropId": "a07ecf19-fad0-40fb-a4c1-d9bb522d046a",
            "name": "Enterprise CEO",
            "content": "Autobound helps enterprise software companies...",
        }
    ]
}

Optional Parameters

{
    "contactEmail": "[email protected]",
    "userEmail": "[email protected]",
    "contentType": "callScript",
    
    // Customize Output
    "writingStyle": "challenger_sale",
    "wordCount": 200,
    "language": "english",
    
    // Additional Context
    "additionalContext": "Prospect recently mentioned sales productivity in earnings call",
    "salesAsset": "Text from relevant case study or product page",
    
    // Control Insights
    "enabledInsights": ["earnings_call", "podcast"],
    "disabledInsights": ["social_media"],
    
    // Model Selection
    "model": "opus"  // or "gpt4", "sonnet", "fine_tuned"
}