Clay vs Gemini Deep Research: 2026 comparison
Composable agents for enrichment, scoring and outbound orchestration.
Long-running researcher inside Gemini that plans, browses and writes briefs.
Clay vs Gemini Deep Research — specs
| Spec | Clay | Gemini Deep Research |
|---|---|---|
| Agent Rank | 68 / 100 (B) | 73 / 100 (A) |
| Autonomy | Semi-autonomous | Semi-autonomous |
| Pricing | Subscription · from $149 | Subscription · from $20 |
| Open source | No | No |
| Capabilities | Tool use, Browser, RAG | Browser, RAG, Memory, Vision |
| Integrations | 4 apps | 2 apps |
| Verified | Verified | Verified |
| Released | Mar 2025 | Mar 2025 |
Agent Rank breakdown
- Autonomy fit
- 8
- Capabilities
- 6
- Integrations
- 6
- Pricing value
- 5
- Polish & maturity
- 6
- Verifiability
- 10
Auto-computed from autonomy, capabilities, integrations, pricing, maturity and editorial verification. Updated every deploy. How is this computed?
- Autonomy fit
- 8
- Capabilities
- 8
- Integrations
- 4
- Pricing value
- 8
- Polish & maturity
- 6
- Verifiability
- 10
Auto-computed from autonomy, capabilities, integrations, pricing, maturity and editorial verification. Updated every deploy. How is this computed?
Pros & cons
- +Composable building blocks beat point tools — enrich + score + route in one
- +Strongest data-source coverage among GTM agents (50+ providers)
- +Highly programmable; sales ops loves the flexibility
- −Steep learning curve — not a one-day onboarding
- −Credit math gets opaque at scale
- −Less effective without a sales ops owner driving it
- +Goes the deepest of any research agent — reads 30+ sources per brief
- +Strong on multi-hop reasoning; produces structured, well-cited drafts
- +Native integration with Google Workspace (Drive, Docs)
- −Slowest of the three big research agents — typical brief takes 20–40 min
- −Output is verbose; expect to cut 30–40% in editing
- −Less effective on paywalled academic literature than Elicit
Pricing
- +Enrichment templates
- +5k credits/mo
- +CRM exports
- +25k credits/mo
- +Multi-source enrichment
- +Webhooks
- +Unlimited credits
- +Dedicated CS
- +SAML SSO
- +Deep Research mode
- +1M-token context
- +Workspace integrations
- +Gemini in Docs, Sheets, Gmail
- +Admin controls
- +Custom data controls
- +Vertex integration
Which one should you pick?
Pick Gemini Deep Research if cost is the main constraint.
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Frequently asked
Should I pick Clay or Gemini Deep Research in 2026?+
Pick Clay if its specific capabilities (Tool use, Browser) match what you need. Pick Gemini Deep Research if cost is the main constraint. Most working teams running both can use Clay for primary work and Gemini Deep Research for the workflows where its specific strengths matter.
What's the price difference between Clay and Gemini Deep Research?+
Clay starts at Subscription · from $149; Gemini Deep Research starts at Subscription · from $20. Gemini Deep Research is the cheaper entry option. For team deployments the TCO can differ — use the AI Agent Rank TCO calculator for your specific volume.
Which is more autonomous, Clay or Gemini Deep Research?+
Both Clay and Gemini Deep Research are Semi-autonomous agents — neither has a meaningful autonomy advantage over the other. The decision should hinge on capabilities and pricing instead.