Gong AI vs Apollo

Detailed side-by-side comparison to help you choose the right tool

Gong AI

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Sales & Marketing AI

Revenue AI platform that records and analyzes every sales call, email, and meeting to surface deal risks, coach reps, and forecast revenue — trusted by 5,000+ companies including the majority of the Fortune 10.

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Starting Price

~$1,600/user/year + platform fee

Apollo

Sales & Marketing AI

Apollo combines a 265M+ B2B contact database with AI-powered prospecting, multi-channel sequence automation, and revenue analytics to accelerate sales development from lead discovery through closed deals.

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Starting Price

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Feature Comparison

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FeatureGong AIApollo
CategorySales & Marketing AISales & Marketing AI
Pricing Plans10 tiers8 tiers
Starting Price~$1,600/user/year + platform fee
Key Features
  • Conversation Intelligence
  • Revenue Forecasting
  • Sales Engagement
  • 265M+ B2B contact database
  • AI-powered prospect discovery
  • Multi-channel sequence automation

Gong AI - Pros & Cons

Pros

  • Category-defining conversation intelligence with the deepest AI analysis of sales calls available — talk ratios, sentiment, competitor mentions, and deal signals automatically extracted
  • Revenue Graph unifies calls, emails, meetings, and CRM data into a single intelligence layer that no competitor fully replicates
  • Forecast accuracy improves significantly over CRM-based forecasting because it uses actual engagement signals rather than rep self-reporting
  • 6,200+ G2 reviews with 4.8/5 average rating — consistently the highest-rated platform in the revenue intelligence category, and a Leader in the Forrester Wave
  • Trusted by 5,000+ customers including the majority of the Fortune 10, providing strong enterprise validation for risk-averse procurement
  • Coaching grounded in real customer conversations is dramatically more effective than generic sales training programs
  • Integrates with 100+ tools including Salesforce, HubSpot, Zoom, Teams, Slack, and all major video conferencing platforms

Cons

  • Pricing starts around $1,600/user/year plus a $5,000 platform fee — a 10-person team costs ~$21,000/year before add-on modules
  • No public pricing page — requires sales conversations, and final costs are often opaque until late in the buying process
  • Annual contracts with 2-3 year commitments are standard — limited flexibility for teams that might outgrow or pivot
  • Add-on module pricing (Forecast, Engage, Enable, Agents) can double or triple the base cost for full-suite adoption
  • Onboarding and implementation fees (~$7,500) add to first-year costs, and the learning curve for administrators is steep

Apollo - Pros & Cons

Pros

  • Massive contact database of 265M+ verified B2B contacts with 65+ filter attributes, reducing the need for a separate data vendor like ZoomInfo or Lusha.
  • All-in-one platform consolidating prospecting, email/phone/LinkedIn sequencing, dialer, meeting scheduler, and analytics, so teams can retire multiple point tools.
  • Genuinely useful free tier with unlimited email credits and basic sequences, making it practical for solo founders and early-stage SDRs to actually test the product.
  • Strong native integrations with Salesforce, HubSpot, Gmail, Outlook, LinkedIn, and Slack, plus a widely-used Chrome extension for prospecting from any webpage.
  • AI features (email writer, deal assistant, power-ups, intent scoring) are bundled into standard plans rather than locked behind expensive add-on SKUs.
  • Per-seat pricing with monthly billing available is significantly cheaper than enterprise competitors, with published rates instead of forced sales calls.

Cons

  • Data accuracy is inconsistent for senior executives, smaller companies, and non-US regions, where bounce rates and outdated titles are noticeably higher than premium providers.
  • Email deliverability can suffer at scale if sequences aren't carefully warmed up and throttled, and Apollo's own sending reputation has drawn spam complaints in some industries.
  • The interface bundles so many features that new users face a steep learning curve, and advanced workflow and enrichment features require meaningful configuration time.
  • Credit and export limits on lower tiers can be restrictive for high-volume outbound teams, pushing real users onto Organization or Unlimited plans faster than expected.
  • Support response times on lower-tier plans are slow, with chat and ticket-only access and no dedicated CSM until higher-paid tiers.

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