What is Docket ?
Docket delivers enterprise-grade AI agents built specifically for Go-to-Market (GTM) teams in marketing and sales. It solves the critical challenge of scattered sales knowledge and missed opportunities by unifying your proprietary data into the Sales Knowledge Lake™, then activating 24/7 AI experts directly on your website. Docket transforms every website visit into a premium, first-class consultation, ensuring instant engagement, precise qualification, and measurable pipeline generation.
Key Features
Docket’s AI agents are engineered to function as your dedicated, always-on product expert, focusing relentlessly on revenue generation and sales efficiency.
🧠 The Sales Knowledge Lake™ Foundation
Docket’s proprietary technology unifies your company’s scattered go-to-market data (CRM, knowledge bases, MAPs, etc.) into a trusted, centralized repository. This foundation ensures the AI agents provide industry-leading accuracy, delivering verified, context-grounded responses with source attribution and confidence scores that your sales reps can rely on.
🤝 Concierge-Level Qualification & Discovery
The Marketing Agent meets every visitor with product-expert conversations and deep knowledge, conducting long-form, 14-18 minute consultations proven to drive engagement. It asks the right discovery questions to spot high-value opportunities, capturing complete prospect intelligence and intent data before any human handoff.
📅 Seamless Routing and Booking
Convert high intent into pipeline instantly. Once a visitor is qualified, the agent automatically routes the lead to the right seller and schedules meetings directly while the prospect is engaged, even outside business hours (24/7). This accelerates deal velocity and significantly improves conversion rates from initial website interaction.
🛡️ Enterprise-Grade Trust and Security
Built for enterprise GTM teams, Docket ensures production-ready AI with necessary compliance and controls. The platform is SOC 2 Type II, GDPR, and ISO 27001 compliant, utilizing data encryption in transit and at rest, and providing complete audit trails for every conversation, guaranteeing data integrity and security.
Use Cases
Docket integrates seamlessly into your revenue operations to deliver tangible, measurable improvements across marketing and sales functions.
Accelerate Top-of-Funnel Pipeline: Deploy the Marketing Agent to handle initial engagement and qualification 24/7. This always-on service ensures every visitor receives instant, expert attention, resulting in teams seeing 30%+ more qualified pipeline from the same traffic volume and a 15% increase in overall marketing pipeline generation.
Elevate Seller Efficiency and Enablement: By automating repetitive technical inquiries, basic discovery, and initial qualification, Docket improves overall seller efficiency by 33%. Sales representatives receive fully qualified leads with complete conversation context and discovery data already logged, allowing them to focus exclusively on closing high-value deals.
Ensure Full Conversion Attribution: Track every conversation from the first question to the closed deal. Docket provides full attribution and complete discovery data, allowing revenue leaders to measure the direct impact of the AI agent in terms of pipeline dollars generated, sales-qualified conversations, and time-to-first-qualified-lead.
Conclusion
Docket provides the crucial connection between your unified GTM data and real-time revenue generation. By deploying an accurate, always-on product expert, you ensure every website visitor receives the premium experience necessary to convert intent into measurable pipeline.
More information on Docket
Launched
2014-05
Pricing Model
Paid
Starting Price
Global Rank
744540
Follow
Month Visit
43.6K
Tech used
Top 5 Countries
24.25%
16.94%
5.78%
5.61%
4.96%
India
United States
Colombia
Vietnam
Germany
Traffic Sources
4.94%
1.26%
0.14%
12.89%
27.66%
53.11%
social
paidReferrals
mail
referrals
search
direct
Source: Similarweb (Nov 11, 2025)
Docket was manually vetted by our editorial team and was first featured on 2025-11-11.
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