AutoReach vs Apollo.io: which finds better leads?
Apollo.io gives you a database to search manually. AutoReach gives you an AI agent that searches, qualifies, and writes outreach autonomously. Here is how they compare.
Feature-by-feature comparison
How AutoReach and Apollo.io stack up across the features that matter.
| Feature | AutoReach | Apollo.io |
|---|---|---|
| Lead discovery | AI agent searches autonomously via Google Places | Manual search of static contact database |
| Lead qualification | AI scores 1-10 with reasoning, learns from feedback | Manual filters and static scoring rules |
| Email personalization | AI writes unique emails after scanning each website | Template-based sequences with merge fields |
| Website intelligence | Automated website scanning for contacts and context | Not included (third-party enrichment required) |
| Learning & adaptation | Agent memory improves with every feedback cycle | No built-in learning from user feedback |
| Continuous operation | Runs 24/7 on autopilot with credit budget controls | Requires manual search and sequence setup |
| Email A/B testing | Automatic variant generation and performance tracking | Manual A/B test setup in sequences |
| Deliverability | MX validation, rate limiting, sends from your address | Built-in sending with warmup tools |
| API access | REST API + MCP server for AI assistants | REST API (paid plans) |
| Pricing model | Credits (pay per action) or monthly plans from $29/mo | Per-seat subscription from $49/mo |
Lead discovery
Lead qualification
Email personalization
Website intelligence
Learning & adaptation
Continuous operation
Email A/B testing
Deliverability
API access
Pricing model
Key differences
Beyond the feature list, here is what fundamentally separates AutoReach from Apollo.io.
Autonomous vs. manual
Apollo requires you to search their database, build lists, and set up sequences manually. AutoReach runs as an autonomous agent that handles the entire pipeline from discovery to outreach without manual intervention.
AI qualification vs. static filters
Apollo uses static filters and scoring rules you configure manually. AutoReach uses AI to evaluate each lead with reasoning, and the agent learns from your approve/reject decisions to improve over time.
Pay-per-action vs. per-seat
Apollo charges per seat, meaning costs scale with your team size. AutoReach uses credits consumed by actions, so you only pay for what the agent actually does. No per-seat fees.
Pricing comparison
Apollo.io starts at $49/month per user with limited credits. AutoReach starts at $29/month for 300 credits (no per-user fees) or $5 for 50 pay-as-you-go credits. A qualified lead on AutoReach costs approximately $0.07, while Apollo.io credits for contact reveals can add up quickly.
AutoReach Pricing
- -Starter: $29/mo (300 credits)
- -Growth: $79/mo (1,500 credits)
- -Scale: $199/mo (5,000 credits)
- -Pay-as-you-go from $5 (50 credits)
- -No per-seat fees
Apollo.io Pricing
- -Free: Limited features and credits
- -Basic: $49/mo per user
- -Professional: $79/mo per user
- -Organization: $119/mo per user
- -Per-seat pricing scales with team size
Try AutoReach instead
Credit packs start at $5. See how an AI agent compares to Apollo.io in your first 5 minutes.
Qualified leads from $0.07 each. Plans start at $29/month. No per-seat fees.
Frequently asked questions
Is AutoReach a replacement for Apollo.io?
AutoReach takes a fundamentally different approach. Apollo is a contact database you search manually. AutoReach is an AI agent that discovers, qualifies, and contacts leads autonomously. Many users find AutoReach better for outbound prospecting while keeping Apollo for data enrichment.
Can I use both AutoReach and Apollo.io together?
Yes. Some teams use AutoReach for autonomous lead discovery and outreach, then enrich those leads with Apollo's contact database. AutoReach exports to CSV and provides API access for easy integration.
Which is better for small teams?
AutoReach is more cost-effective for small teams because there are no per-seat fees. One person can run multiple autonomous workflows simultaneously. Apollo's per-seat pricing makes it expensive to scale team access.