Skip to content

How to build a lookalike company list from 10 of your best customers

How-to guides·1 min read·Updated 2026-05-13·2 sections

You have 10 customers you love. You want 50 more like them. The manual approach (read LinkedIn for hours, write filter rules) doesn't scale. Apollo's lookalike feature locks behind Pro ($99/seat/month). Kavex Lookalike automates: provide samples, Gemini derives an ICP, searches LinkedIn, scores each by similarity.

01

The 4-step pipeline (one job)

All happens behind one Submit click.

  • Scrape your 10 sample companies via LinkedIn Companies
  • Send to Gemini → get ICP summary + 5 LinkedIn search hints
  • Search LinkedIn for matching companies per hint
  • Score each candidate via Gemini (0-100) with reasoning
Rate
5 credits / result
Look-alike
1 credit
$0.001
credits never expire
Per 1,000
$5.00
5,000 credits
RUN SIZECREDITSCOST
30 results150$0.15
100 results500$0.50
500 results2,500$2.50
1,000 results5,000$5.00
5 credits a result · 1 credit = $0.001 · a run that finds fewer pays less
02

What you get per look-alike

One row per candidate with full reasoning.

  • candidate_name + candidate_url
  • candidate_industry + size + HQ + description
  • similarity_score (0-100) + 1-sentence reasoning
  • icp_summary (same for all rows)
Written after running it
Last run
plumbers · London · Google Maps
Rows
30
Time
23s
Cost
€0.06
30 rows × 2 credits = 60 credits · 1 credit = $0.001

Every number on this page comes from that run, not from a price list.

Priced against
Point it at something. See what comes back.Your first 500 Google Maps leads are on the house. No card needed.
Start scraping free