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The Lookalike Discovery engine takes your highest-performing, closed-won accounts and scours the internet to find similar, high-potential companies that fit exactly the same profile.

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How It Works

Instead of manually guessing which industries or keywords to target, Lookalike Discovery automates the profiling and search process.
1

Select Seed Accounts

Choose 3 to 10 of your best, highest-intent accounts as the “seeds”.
2

Profile Generation (LLM + PDL)

SignalArk extracts the core DNA of these companies—analyzing their tech stack, target audience, pricing model, and go-to-market motion.
3

Web Retrieval (Exa AI)

Using advanced semantic search via Exa AI, the engine scans the live web for companies exhibiting the exact same characteristics.
4

Scoring & Filtering

Results are filtered against your existing ICP and scored for relevance.

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Credit Usage & Caching

Running a full Lookalike Discovery pipeline is an intensive operation that consumes 5 credits per run. To optimize performance and credit usage, Lookalike results are cached for 24 hours. If you run the exact same seed accounts within that window, you will receive the cached results without consuming additional credits.

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Interpreting Results

The results are split into two actionable categories:
  1. Internal Results: Lookalike companies that already exist in your SignalArk database but were previously overlooked.
  2. External Results: Net-new companies discovered on the web that you can instantly promote to your target account list with one click.