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Growth team building a look-alike ICP

Find look-alikes of our best customers

Ten products with observed revenue closest to your best customers, in the same size bands, without names.

You: Our best customers are typefully.com and buffer.com. Find ten look-alikes with observed revenue at 75k visits a month or more.

Megido lookup_domain2 found
Megido search_projects10 projects
Agent:

Nine of the ten are social media scheduling and management tools: six from the United States, two from India and one from Russia. The tenth is a PR platform for media opportunities. Names stay hidden; reveal the ones you want to study.

Real data from the corpus, as of August 2026.

How your agent answers

  1. lookup_domain found your customers.
  2. search_projects returned the products closest to them in meaning in the bands you set, without names.

Where it stops. These are the closest in meaning, not every look-alike, and there are no contacts or company sizes.

Ask your agent

Our best customers are [domain 1] and [domain 2]. Find ten look-alikes with observed revenue at [visits band] visits a month.

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Ask your agent today

Megido is in early access. Request access, or sign in if you already have an account. If your team is already on Megido, ask its owner for an invitation. Then ask from your AI agent, in the Megido chat, or as a task for Megido's agents.

In Claude Code, add the server, then run /mcp and choose to authenticate:

claude mcp add --transport http megido https://api.megido.io/mcp

Claude, ChatGPT, Cursor, VS Code and other apps, by signing in or with an API key: step by step.