Solutions
AI outbound platform for maps, enrich, score, and send
Discover local businesses, enrich contacts, score ICP fit, and run personalized sequences from one workspace with your API keys.
- AI outbound
- B2B prospecting AI
- outbound sales platform
3
AI providers
Maps
Discovery
Hunter
Enrichment key
SMTP
Your sends
Definition
Definition: An AI outbound platform connects lead discovery, data enrichment, fit scoring, and generative email so operators spend time on replies, not tab switching.
Capabilities
Each capability maps to a workflow you can run in the product today.
Maps discovery
Search by city and business type. Build lists for local SMB outbound without buying stale databases.
Model choice
OpenAI, Anthropic, or Google models per workspace. Pick cost and quality tradeoffs per campaign.
ICP scoring
Rank accounts before copywriting. Low-fit records never enter the send queue.
Campaign analytics
Opens, replies, and batch performance inform the next subject line and list filter.
How it works
- 1
Define ICP filters
Geography, category, size proxies (reviews, web presence). Document what "qualified" means.
- 2
Discover and enrich
Pull accounts from maps, run Hunter enrichment, drop records without email.
- 3
Generate copy
AI drafts opening lines from account context. You approve tone and compliance language.
- 4
Send and iterate
Launch at capped volume. Weekly review: reply rate, positive sentiment, meetings.
Quick answers
Short answers to common search queries about this topic.
What AI models are supported?
OpenAI, Anthropic, and Google, configured per workspace with your API keys.
Do you train on my data?
Copy is generated per request using your prompts and account context. Follow each provider policy for retention.
Maps-first discovery
National databases miss local service firms. Maps search finds the long tail agencies sell to.
- Restaurants, clinics, trades, and professional services by zip
- Export only accounts that pass your score threshold
- Refresh lists monthly for recurring client work
Operator workflow
One login replaces discovery tool plus sequencer plus spreadsheet QA. Onboarding a new SDR takes hours, not weeks of tool training.
In-depth guide
What an AI outbound platform should cover
Discovery, enrichment, scoring, copy, send, and reporting belong in one loop. If any step lives in a separate tool with CSV exports, operators lose hours and data fidelity each week.
Model selection guide
| Model family | Good for | Watch out for | |--------------|----------|---------------| | OpenAI GPT-4 class | Polished first lines | Cost per token on huge lists | | Claude | Long context job descriptions | Same | | Google Gemini | Batch-friendly tasks | Verify factual claims |
Use cheaper models for first-pass personalization on large lists. Use stronger models for strategic accounts.
ICP scoring inputs that actually matter
For local SMB outbound, teams often score on:
- Google review count (proxy for maturity)
- Website present vs missing
- Category match (dentist vs restaurant)
- Geography inside service radius
Write the rubric down before you enrich. Otherwise every record looks "fine."
Campaign QA before launch
- [ ] Unsubscribe or reply-to-stop language present
- [ ] Physical address or company name in footer where required
- [ ] Merge fields populated on 10 random records
- [ ] Links use HTTPS and correct UTM tags
- [ ] Daily cap set below provider limits
Reporting clients expect
Translate stats into meetings:
"We contacted 420 qualified accounts, received 38 replies, booked 9 discovery calls."
Raw open rates matter internally. Clients buy conversations.