Head-to-head · AI Sales Development Representatives (SDRs) Software
Buzz vs Agent Frank
Buzz leads on 1 check, Agent Frank on 0, and 1 is even. Who comes out ahead on the 2 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreBuzz · 9.3/10
- Free planonly Buzz
Buzz scores higher on our rubric for ai sales development representatives (sdrs) software: 9.3 against 8.3 out of 10; our editors rank them #1 and #7.
Buzz offers free plan; Agent Frank doesn't.
Buzz is the better fit for teams wanting broad, affordable AI SDR automation. Agent Frank is the better fit for teams wanting configurable autonomous prospecting.
- Buzz fits best
Teams wanting broad, affordable AI SDR automation
- Agent Frank fits best
Teams wanting configurable autonomous prospecting
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Side by side
| Feature | Buzz 9.3/10 Visit ↗ | Agent Frank 8.3/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.3 | 8.3 |
| Ranking | #1 in AI Sales Development Representatives (SDRs) Software | #7 in AI Sales Development Representatives (SDRs) Software |
| Best for | Teams wanting broad, affordable AI SDR automation | Teams wanting configurable autonomous prospecting |
| Pricing model | Free plan + paid | Paid |
| Starting price | — | $499/mo |
| Free plan | ✓ (best) | — |
| Free trial | — | — |
| Deployment | Cloud, Mobile, Browser extension | Cloud |
| Platforms | Web, iOS, Android, Chrome extension | Web |
| Features Buzz 1/4 · Agent Frank 1/4 | ||
| Autonomous outreach | Not checked yet | Not checked yet |
| Lead research | ✓ | ✓ |
| CRM writeback | Not checked yet | Not checked yet |
| Human approval control | Not checked yet | Not checked yet |
| Specs | ||
| Outreach channels | Not checked yet | Not checked yet |
| Monthly AI credits | Not checked yet | Not checked yet |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | Buzz is a sales engagement platform for revenue teams that combines prospect discovery, company and contact enrichment, research, messaging and multichannel outreach. Its AskBuzz interface can create campaigns from prompts, build prospect… Read the review → |
Agent Frank is an AI sales development representative from Salesforge for B2B teams targeting startups, SMBs, and mid-market companies. It handles autonomous prospect discovery, prospect and company research, buying-signal and pain-point… Read the review → |
Strengths and trade-offs
Buzz — where it wins
- Prompt-based prospect discovery, research and campaign creation
- Email, LinkedIn, calling and voicemail sequences in one platform
- CRM sync, mobile apps, Chrome extension and broad integrations
Where it doesn't
- Dialer supports user-initiated calling rather than an AI voice agent
- Advanced capabilities are concentrated in higher-tier plans
- Campaign breadth may exceed the needs of teams seeking a narrow workflow
Agent Frank — where it wins
- Automates prospect research, personalized outreach, follow-ups, and meeting booking
- Conditional sequences can combine email and LinkedIn with configurable operating modes
- Annual plan includes 1,000 active contacts, 20+ languages, and account-manager support
Where it doesn't
- Starts at $499 per month with annual billing and requires a demo
- Web-only setup without integrations limits workflow coverage
- Email infrastructure costs extra and phone-agent outreach is not included
- Buzz9.3/10 · Free plan
Broad AI SDR automation across prospecting, outreach, calling and CRM workflows.
Visit BuzzFull verdict → - Agent Frank8.3/10 · Paid
Configurable autonomous prospecting with email and LinkedIn sequences, at a premium price.
Visit SalesforgeFull verdict →
More comparisons
- Buzz vs Sellora AI
- Buzz vs LeadLoft AI SDR Agents
- Buzz vs Alice by 11x
- Buzz vs Ava by Artisan
- Buzz vs Proxelion Prox
- Buzz vs SOHOON AI Sales SDR Agent
- Sellora AI vs Agent Frank
- LeadLoft AI SDR Agents vs Agent Frank
All AI sales development representatives (SDRs) software comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update







