Where AI helps
Research and enrichment
AI can read a business website and pull out what matters: services, the owner's name, signs of what they need. Prospect Cheap uses automated research to find owner names and summarise websites, with a confidence score and evidence so you can check the results.
First lines and drafts
Given good data (rating, latest video, launch, ads), AI can draft a personalised first line. Always check it: invented details hurt trust.
Sorting replies
AI can label replies — interested, not now, wrong person, remove — so you answer the important ones first.
Analysing results
Summarising which segments and messages work across many campaigns.
Where humans still matter
- choosing the niche and offer
- judging whether a prospect is really a fit
- writing the core message
- handling interested replies and closing
Common mistakes
- fully automated sending without review — volume without relevance burns domains
- "personalisation" that is wrong — AI guessing facts
- ignoring data quality — AI can't fix a bad list
A sensible workflow
- Build a targeted list from live sources (with enrichment).
- Filter and segment by fit and signal.
- Use AI to draft first lines from real data; edit them.
- Send carefully, follow up, and handle replies personally.
The fundamentals still win
Good targeting, a clear offer and respectful follow-up drive results. AI makes each step faster; it doesn't replace them.