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Find the accounts that look like the ones you've already won.

Lookalike discovery matches your target market against the full 287M-organization identity graph. Every match is validated against billions of operational signals to confirm operational fit — not just demographic resemblance.

Graph-native matching

Why graph-native matching outperforms legacy database filter stacks.

Legacy tools filter on static firmographic attributes: industry code, headcount band, geography. GraphIQ.ai runs matching against a live graph of 287M organization nodes. Each node carries a dynamic signature built from billions of operational signals: hiring velocity, technology events, M&A activity, capability cluster shifts, and corporate family changes.

Legacy filter stacks — static attributes
Industry code Headcount band Geography
GraphIQ.ai — dynamic graph signature
Hiring velocity Technology events M&A activity Capability cluster shifts Corporate family changes
Lookalike discovery built on the full identity graph

The four-step lookalike workflow.

You define the seed — a closed-won account, your best ten customers, or a structured ICP definition. GraphIQ.ai traverses the full 287M organization identity graph to surface entities whose structural fingerprint matches yours.

01

Pick your anchor accounts

Pass 3–5 closed-won accounts or ICP-defined target profiles.

02

Build the structural signature

Technology stack, corporate family position, employee velocity, capability cluster, funding trajectory, and recent business events.

03

Match against the graph

Graph traversal surfaces entities with matching structural positions across 287M nodes.

04

Deliver ranked results

Push directly to CRM, Clay, or sequencing tools via the MCP server or REST API export.

What operational jobs does this solve?

ICP refinement
Territory planning
Account expansion
Pipeline building
Fit

Where lookalike discovery fits your GTM.

Lookalike discovery serves:

FAQ

Frequently asked questions

How many seed accounts do I need?

Minimum 3 to 5 resolved accounts. Seeds can be submitted as domain lists, CRM exports, or entity IDs.

Can I run lookalike discovery programmatically via the MCP server?

Yes. Call search_organizations with similar=True parameter and pass anchor entity IDs. Supported at Pro and above.

Does lookalike matching update as new organizations enter the graph?

Yes. The identity graph ingests billions of operational signals. New organizations matching your seed fingerprint surface automatically.

Stop guessing your TAM. Let the graph discover it.