SDR Pilot vs Aquant
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
SDR Pilot compared with Aquant
| Detail | 
SDR Pilot | 
Aquant |
|---|
| What it does | AI sales development representative for LinkedIn that researches profiles, sends connection requests, and answers replies from your own account
| Conversational AI for physical product and equipment support
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| Stage | Startup
| Established
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| Founded | 2026
| 2016
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| Based in | NL
| US
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| Pricing model | Freemium
| Not given
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| Pricing | Pro: $97/month for 1 sender; Agency: $297/month for 10 client workspaces; Agency Unlimited: $497/month for unlimited client workspaces. Extra senders: $47/month (Pro), $37/month (Agency), $27/month (Agency Unlimited). 14-day free trial on all plans.
| Not given
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| Key features | - Six lead sources: connection requests, profile viewers, post engagers, niche posts, people search, and existing connections
- Profile research and ICP scoring before sending requests
- Up to 20 connection requests per day with gradual warm-up
- AI-written replies from playbook and profile context
- Take over conversations at any time
- MCP server and API on every plan for agent control
- Dedicated residential IP per sender in user's country
- Unified inbox for all conversations with lead management
| - Knowledge agent that searches documentation and knowledge bases for precise information
- Voice-enabled assistant for hands-free support
- Cross-channel memory that carries context across chat, call, and video
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| What makes it different | - Runs on your own LinkedIn account and session, not a separate profile
- Researches and scores every profile before sending, not template-based campaigns
- Driven by your own AI agent over MCP, not just manual control
- Holds real conversations from playbook, not drip sequences
- Founder's own account has run continuously since June 2026, proving safety design
| - Purpose-built for physical product and equipment support, not generic chatbots for orders and FAQs
- Trained on real-world service data refined by subject matter experts, not generic LLMs
- Continuous self-learning that improves automatically from every interaction without constant reconfiguration
- Flexible deployment with pre-built agents, custom agent building, and integration of existing AI
- Vision-guided support with ability to see customer's problem and annotate on-screen guidance
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 20 ▲ +1 (up) since last check | 55 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 7 | 11 |
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| Citation Flow (Majestic) | 23 | 37 |
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| Referring domains (Majestic) | 22 | 248 |
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6 details filled in for both companies.
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