AI prospecting mistakes to avoid
Prospecting 10 min
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Business problem
AI prospecting has a bad reputation because most attempts end with 1000 worthless leads. The reason: systemic mistakes — wrong criteria, no verification, meaningless automated emails. AI doesn't fix a bad process; it amplifies it.
Proven method
The 6 mistakes and fixes:
- Mass-generating junk leads — fix: generate the list, but qualify and sift the best 10%,
- No data verification — fix: the rule 'AI = hypothesis, source = verification' — you check AI-suggested contact data at the source,
- A bad ICP — fix: define the ICP from data in your own won deals, not from imagination,
- Over-automation — fix: keep a human in the loop at decision stages,
- Hallucinations — fix: every AI research fact must have a URL/source or you don't use it,
- 'Personalization' from random info — fix: personalize only from facts tied to the customer's business (trigger, problem, technology), not from trivia.
Market example
- BAD
- Unstructured prospecting without ICP filters and generic outreach to random accounts.
- GOOD
- Instead of: 'I saw you like football, so I wrote' (random personalization) → 'Your company opened a branch in Krakow and you're hiring 5 salespeople on your site — looks like your sales process is scaling, I have an idea how to support it' (trigger + business context). The first version is spam, the second is research.
Ready-to-use prompt
You are a prospecting quality auditor. Context: I describe my current AI prospecting in 5 sentences. Task: [DESCRIPTION OF MY PROCESS] Analyze it against the 6 typical mistakes: 1. List which mistakes I make (YES/NO for each of the 6) 2. For each one I make: 1 sentence on how I see it in my description 3. For each one: 1 concrete fix to start with Format: a 6-row table + 3 priorities.
Model rekomendowany: Claude 3.5 Sonnet / GPT-4o Copy and paste into ChatGPT, Claude or Perplexity
ALTERNATYWNE SCENARIUSZE
Variations & alternative scenarios
Data version: describe where you get contact data, AI assesses the risk of it being stale.
Automation version: describe what you automate, AI points out what you should leave to a human.
Practical exercise
List 3 leads you wrote to last month that didn't reply. For each, assess: was it an ICP lead? Was the personalization trigger-based or random? Was the data verified? Write down 2 fixes for your process.
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