Docket

Docket is an AI Marketing Agent that engages B2B website visitors 24/7, answers product questions, qualifies intent, and books meetings directly into your CRM. It aims to convert inbound traffic into qualified pipeline.

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At a glance

Pricing

Paid · Enterprise

Free tier

API

Skill level

Mixed

About

What is Docket?

Docket's AI Marketing Agent is designed to transform B2B website visitors into qualified leads and customers. It operates 24/7, engaging visitors in human-like conversations, answering product questions from verified knowledge, and qualifying their intent. The agent then books meetings directly into your CRM, eliminating the need for an SDR for the initial touch. Docket introduces the Agent Qualified Lead (AQL) as a superior metric to the traditional MQL, representing leads qualified through substantive AI-powered conversations. The platform integrates with over 100 data sources, including CRM, Gong, Slack, and product documentation, to create a Sales Knowledge Lake™ for accurate responses. It supports both voice and text conversations in over 40 languages and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance.

Best used for

Ideal for B2B enterprises and sales/marketing teams who need to convert website traffic into qualified pipeline, automate lead qualification, and streamline meeting bookings. Especially valuable for reducing reliance on SDRs for initial engagement and ensuring reps receive fully briefed leads.

Common actions

generate qualified leads

automate sales outreach

improve website conversion

streamline lead qualification

integrate sales data

Capabilities

Key features

AI marketing agent
Engage website visitors
Qualify buyer intent
Book meetings automatically
CRM integration
Multi-language support
Sales Knowledge Lake

Target Audience

sales repmarketing managersales manager

Integrations

salesforcehubspotgongslackgoogle-drivenotionsharepoint

Pricing & Plans

Paid · Enterprise

Not publicly disclosed. Check docket.io for current pricing.

FAQs

How quickly can Docket be deployed on a website?

Docket typically takes 5-10 minutes to create and is fully deployed within 7-14 days. The Customer Success team handles implementation, including training Docket on your product, CRM data, and conversation playbooks, without requiring engineering resources.

What data sources does Docket use to learn and provide answers?

Docket's knowledge comes from its Sales Knowledge Lake™, which ingests data from over 50 sources. These include CRM records (Salesforce, HubSpot), Gong call recordings, Slack, Google Drive, Notion, SharePoint, and your product documentation. Connecting more sources enhances its intelligence.

What is an Agent Qualified Lead (AQL) and how does it differ from an MQL?

An AQL is a lead qualified through a real-time, substantive conversation with Docket, demonstrating genuine buying intent and readiness for sales. Unlike an MQL, which relies on arbitrary behavioral signals, an AQL represents someone who has engaged in dialogue and answered qualification questions.

What happens if Docket doesn't know the answer to a visitor's question?

Docket is designed to transparently state when it doesn't know an answer and will offer to connect the visitor with a human. This approach prioritizes trust and accuracy over hallucination, which is crucial in enterprise sales contexts.

Does Docket support voice conversations in addition to text?

Yes, Docket supports both voice and text conversations. Voice interactions are particularly effective for high-intent visitors deep in evaluation, providing an experience more akin to speaking with an SDR than a typical chatbot.

What is the pricing model for Docket?

Docket's pricing is all-inclusive, covering implementation, unlimited conversations, unlimited data source connections, and customer support. Plans start at $36,000 per year, reflecting its enterprise-grade solution for B2B companies.

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