Company Intelligence β€” AI Sales Research & Lead Enrichment avatar

Company Intelligence β€” AI Sales Research & Lead Enrichment

Pricing

from $200.00 / 1,000 company analyses

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Company Intelligence β€” AI Sales Research & Lead Enrichment

Company Intelligence β€” AI Sales Research & Lead Enrichment

Given a company domain or name, returns AI-analyzed business intelligence: size, tech stack, opportunity score, decision-maker roles, buying signals, and pain points. Pay only per successful result at $0.20/company β€” no subscription needed.

Pricing

from $200.00 / 1,000 company analyses

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🏒 Company Intelligence β€” AI Business Analysis

Turn any company domain or name into rich business intelligence β€” instantly.

Built for sales teams, SDRs, founders, VCs, and market researchers who need deep company insights without spending hours on manual research.


What It Does

Provide a company name (e.g. Stripe) or domain (e.g. stripe.com), and get back a structured JSON intelligence report including:

  • AI-written company summary β€” what they do, who they serve, why they matter
  • Company size estimate β€” employee count range
  • Growth stage β€” startup / growth / enterprise
  • Tech stack β€” detected from their live website
  • Recent signals β€” funding rounds, hiring trends, product launches, news
  • Decision-maker roles β€” who you should be selling to
  • Pain points β€” AI-inferred business challenges based on stage and signals
  • Opportunity score (1–10) β€” how attractive is this company as a prospect?

Input

FieldTypeDescription
companystringA single company domain (stripe.com) or name (Stripe)
companiesstring[]Batch mode β€” analyze multiple companies at once
depthenumquick (homepage only) / standard (+ news) / deep (all sources)

Example input:

{
"company": "stripe.com",
"depth": "standard"
}

Batch example:

{
"companies": ["stripe.com", "notion.so", "linear.app"],
"depth": "standard"
}

Output

Each analyzed company produces one structured record:

{
"company": "Stripe",
"domain": "stripe.com",
"summary": "Stripe is a global financial infrastructure platform that enables businesses of all sizes to accept payments, send payouts, and manage their finances online. Serving millions of companies across 195+ countries, Stripe powers everything from early-stage startups to Fortune 500 enterprises seeking to embed financial services.",
"size": "5,000–10,000",
"stage": "enterprise",
"techStack": ["React", "Google Analytics", "Cloudflare", "Stripe"],
"recentSignals": [
"Maintained $65B valuation following 2023 secondary market activity",
"Launched Stablecoin payments support (USDC)",
"Expanding Stripe Capital SMB lending globally",
"Heavy hiring in ML/AI engineering roles",
"New partnerships with major ERP platforms"
],
"decisionMakerRoles": ["CTO", "VP Engineering", "Head of Payments", "CFO"],
"painPoints": [
"Managing complex multi-currency reconciliation at scale",
"Regulatory compliance across 195+ jurisdictions",
"Fraud detection and chargeback management",
"Platform partner ecosystem integration overhead"
],
"opportunityScore": 8,
"opportunityRationale": "Stripe is actively scaling globally with growing engineering headcount and new product lines, indicating budget availability. Their technical buyer personas are accessible and data-driven.",
"sources": ["https://stripe.com", "https://stripe.com/about"],
"analyzedAt": "2024-02-27T14:32:00.000Z"
}

Analysis Depths

DepthSourcesSpeedBest For
quickHomepage only~10sFast prospecting, large lists
standardHomepage + About + News~20sRecommended for most use cases
deepAll + LinkedIn + Crunchbase + GitHub~45sHigh-value accounts, full research

Pricing

This actor uses Pay Per Event pricing:

  • $0.20 per company analyzed
  • Billed per successful analysis, not per run
  • Failed analyses (invalid domain, blocked, etc.) are not charged

Use Cases

  • Sales prospecting β€” qualify leads before outreach; know their stack, size, signals
  • Account-based marketing β€” personalize messaging with real company data
  • VC due diligence β€” quick-scan portfolio candidates
  • Competitive intelligence β€” monitor competitors' tech and signals
  • Market research β€” map an industry segment rapidly

Always Fresh β€” Powered by Gemini (Google)

Unlike database-backed tools (Apollo, ZoomInfo, Clearbit) where data can be months or years old, every run of this actor analyses live data in real time:

  • Company website scraped fresh on every run
  • Google News checked for signals from the last 30 days
  • LinkedIn & Crunchbase public pages fetched live (deep mode)

Google Gemini Flash synthesises all of this into structured intelligence β€” so you get analysis based on what the company looks like today, not what a database recorded last year.

What's AI-inferred vs. sourced is clearly labelled in the dataQuality field of every output. Fields like inferredPainPoints and opportunityScore are hypothesis signals; fields like techStack are detected directly from live HTML attributes (not free text β€” no false positives).

Data privacy: inputs are processed by Google's Generative AI API. See Google's privacy policy. Supply your own API key via the googleApiKey input field for high-volume or sensitive use cases. Free API keys available at aistudio.google.com/apikey.


Technical Notes

  • AI Model: Gemini 2.0 Flash (Google) β€” fast, accurate, free tier available
  • Data sources: Company website, Google News RSS, LinkedIn public, Crunchbase public, GitHub
  • No auth required β€” all public data sources
  • Rate-friendly β€” polite scraping with proper User-Agent headers

Support

Issues or feature requests? Open a GitHub issue or contact via Apify.

Built by fortunate_favorite using Apify + Google Gemini Flash.