PRODUCT

AI ICP & leads search

900M+ profiles. Semantic ICP. Lists that don't die in a CSV.

Describe your ideal customer in plain language—title, stack, hiring signals, firmographics—and search a live database refreshed monthly. No keyword bingo. No export-and-reimport loop.

  • 900M+ person & company profiles, refreshed monthly
  • Semantic filters and natural-language ICP queries
  • Lists save directly to enrichment and messaging
  • Offering context shapes who you search for
  • Replace ZoomInfo, Apollo, and Sales Navigator for ICP search & list build

See also Offering intelligence, Lead enrichment, and AI messaging.

Live preview

CueGrowthLeads Search
900M+ · Refreshed monthlyInteractive
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Watch the search flow—or pause, apply filters, and click through yourself.

Why title filters miss your ICP

Most teams stack ZoomInfo for firmographics, Apollo for emails, and Sales Navigator for LinkedIn filters—then export, merge, and re-import. You filter on "VP Sales" and get 40,000 names with no stack context, stale titles, or connection to what you actually sell. CueGrowth replaces that search layer with semantic ICP on 900M+ live profiles.

Without CueGrowth

  • ZoomInfo + Apollo + Navigator → 3 logins
  • "VP Sales" keyword → 40k noise
  • Export → merge → re-import at every step

With CueGrowth

  • Semantic ICP → 2,500 matched profiles
  • 900M+ database refreshed monthly
  • One click → list in lead builder

See the difference semantic search makes

Toggle scenarios to compare keyword prospecting vs CueGrowth's ICP-aware search.

Semantic ICP search

VP Sales · B2B SaaS · US · 50–500 employees · 2,500 matches

Natural-language query + offering-aware ICP criteria

Title matchStack signals2,500 matches

Point databases vs CueGrowth search

CapabilityZoomInfo / Apollo / NavigatorCueGrowth
Starting pointJob title keywordPlain-language ICP + offering context
Tool stack3 databases + exportsOne search + pipeline
DatabaseStatic directories, separate licenses900M+ profiles, refreshed monthly
Match qualityHigh volume, low fitSemantic filters on title, stack, signals
Next stepCSV export → re-importSave list → enrich in one workspace

Your lead database stack—in one workspace

CueGrowth indexes 900M+ person and company profiles across title, firmographics, hiring velocity, and stack signals. The dataset refreshes monthly so your searches reflect who holds the role today—not who held it when you last bought a list from ZoomInfo, Apollo, or Sales Navigator.

PeopleCompanies
  • People and Companies search modes in one workspace
  • Title, location, firmographic, and stack filters combine semantically
  • Saved lists carry filters forward—no CSV export loop
Profiles indexed
900M+
Refresh cadence
Monthly
Search modes
People + Companies
Example query
2,500 VP Sales

How AI fits into search

CueAgent doesn't just keyword-match job titles—it translates your ICP into semantic filters, inherits criteria from offering intelligence, and runs queries across 900M+ live profiles.

  1. Natural language → filters

    Describe who you want in plain English. AI maps your query to title, firmographic, location, and stack filters—no boolean syntax or 12-click filter trees.

  2. Offering-aware ICP

    ICP criteria scraped from your deck or demo video pre-shape matches. Search starts from what you sell—not a generic "VP Sales" string anyone can run.

  3. CueAgent runs the query

    The > run.search command triggers a live scan of 900M+ profiles. Results save as lists that flow directly into enrichment and messaging—filters intact.

See how offering context feeds search
CueAgent

Find VP Sales at B2B SaaS companies in the US with 50–500 employees

VP of SalesB2B SaaSUnited States50–500 employees

Scanning 900M+ profiles…

0profiles matched
> run.search

Search connects to every downstream step

Leads search is step two in the CueGrowth pipeline—grounded in offering context from step one, and built to hand off lists without a CSV export. Click each step to see how search fits the full workspace.

Click a pipeline step to see how search context shows up in that workspace view.

02

AI ICP & search queries

Find prospects that match your ICP

Query 900M+ person and company profiles with semantic filters and natural language. Save 2,500 matches as a reusable list—zero CSV exports.

VP Sales · US West · 2,500 matches
VP Sales · US West2,500 leadsVP of Sales · People
Try live search demo

Workspace preview · Search

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Common questions

How big is the leads database?

CueGrowth searches 900M+ person and company profiles. The database refreshes monthly so title changes, hiring signals, and firmographic data stay current—not a stale CSV you re-import every quarter.

Can I save and reuse ICP searches?

Yes. Searches save as lists in lead builder. You can enrich, segment, and message without rebuilding filters or exporting to another tool.

Does search connect to enrichment?

Yes. Saved lists flow into lead enrichment with filters and offering context intact—one pipeline, not three disconnected tools.

How does offering context affect search?

ICP criteria scraped from your presentation or demo video pre-shape filters and semantic matches—so search starts from what you sell, not a generic title keyword.

Can I search people and companies?

Yes. Toggle between People and Companies modes in the search workspace—filter on title and signals for prospects, or firmographics and headcount for account targeting. Both save as lists in lead builder.

Can CueGrowth replace ZoomInfo, Apollo, or Sales Navigator?

For prospecting and list building—yes. CueGrowth searches 900M+ person and company profiles with semantic ICP filters, saves lists to lead builder, and carries context into enrichment and AI messaging. You don't need a separate database export loop. Teams may still use LinkedIn or their sequencer for sending—but the research, ICP search, and list-build layer can live entirely in CueGrowth.

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