Build an AI email writer
Transform your platform's email capabilities with enterprise-grade personalization that's surprisingly simple to implement.
Quick Start
We've designed our API to minimize the work needed to build an enterprise-grade AI writer.
To make a request, all you need to pass in is the ID (email or LinkedIn URL) of the user and the prospect.
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]", # or LinkedIn URL, domain
"userEmail": "[email protected]", # or LinkedIn URL, domain
"contentType": "email"
}
response = requests.post(url, headers=headers, json=data)
print(response.text)
That's it! With just three required parameters, you'll get back a fully personalized email that reads like it took hours to research and write.
Here's what was generated with the request above.
Subject: Podcast with Auren / James Roth's success
Hi Henry,
Caught your podcast with Auren on building ZoomInfo—love the growth story.
Recognizing stagnant growth (saw -5% revenue in the earnings call) and the hyper-competitive space you're in (HubSpot is moving fast), are you and James confident in your SDRs’ processes for pipeline generation?
Every CRO we meet with is struggling to get their SDRs to conduct better research and personalization... and with inboxes more flooded than ever (340B emails sent daily), every email needs to be A+.
We've built an engine that auto-generates hyper-personalized emails based on SEC filings, 10-Ks, podcast mentions, LinkedIn posts, tech used, shared experiences, and more—60-120x faster than your #1 SDR.
Open to exploring how we could ensure you have the pipeline needed to beat next year's revenue forecast?
Best,
Daniel
What Makes It Enterprise-Grade?
Deep Insight Coverage
Unlike basic AI writers that rely solely on public data, Autobound processes 350+ types of insights including:
- SEC filings & earnings transcripts
- News events across 35 categories
- Social media activity
- Technology stack data
- Competitive intelligence
- Shared connections & experiences
Smart Insight Ranking
Our engine automatically prioritizes the most relevant insights based on:
- Recency and impact
- Prospect's role and industry
- Historical engagement data
- Your product/service offering
Natural Writing Styles
Emails sound authentic and match your users' voice with customizable parameters for:
- Writing tone (e.g., consultative, direct, formal)
- Word count and structure
- Industry-specific terminology
- Compliance requirements
Easy to Customize
You can add your own context, set word count, language, writing style and more! See generate-content section.
data = {
"contactEmail": "[[email protected]](mailto:[email protected])",
"userEmail": "[[email protected]](mailto:[email protected])",
"contentType": "email",
"additionalContext": "Prospect showed intent for cybersecurity solutions",
"writingStyle": "challenger_sale"
}
Integrate Your Data
Like TechTarget, you can feed your own first-party data (intent signals, customer data, etc.) into the personalization engine through the additionalContext parameter.
Example Implementation Timeline
- Day 1: Get API credentials
- Day 2-3: Basic integration
- Day 4-5: Testing and refinement
- Week 2: Production deployment!
Updated about 1 month ago