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Docket

Turn Buyer Intent Into Qualified Pipeline.

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Docket markets an AI marketing agent for website visitors. It says the agent uses a Sales Knowledge Lake built from customer systems, holds voice or text conversations, qualifies intent, books meetings, and synchronises the conversation context to Salesforce or HubSpot.

Vendor's own claim
other/unknown

Core capabilities

Vendor's own claim
  • Website conversations in voice, text, slide, and video formats
  • Sales Knowledge Lake fed by CRM, Gong, Slack, and other sources, per vendor
  • Meeting booking and calendar integration
  • CRM sync of conversation context to Salesforce or HubSpot
  • Account-level targeting and multiple agents on Scale
  • Connections to 100+ listed integrations

Pricing

From official docs
PlanPriceIncludedNotable
GrowthStarting at $3,000/month billed annuallyUp to 20,000 monthly visitorsMarketing Agent, Sales Knowledge Lake, Salesforce or HubSpot CRM sync
ScaleStarting at $4,000/month billed annually20,000 - 100,000 monthly visitorsUnlimited data sources, Account-level targeting, Multiple agents and video avatar
EnterpriseCustom pricing100,000+ monthly visitorsCustom data residency and hosting, SSO/SAML, Custom SLA

Checked 2026-08-06 against their pricing page. Vendors change pricing without notice.

What is Docket

Vendor's own claim

Docket is an inbound-conversion product positioned around an autonomous website agent. Rather than a form or scripted chatbot, the vendor says it engages visitors, uses connected sales knowledge to answer and qualify, then sends the relevant conversation and next steps to a sales team.

Ideal customer profile

Vendor's own claim

B2B marketing and revenue teams with meaningful website traffic, an established sales knowledge base, and Salesforce or HubSpot who want to turn more inbound conversations into qualified pipeline.

Who should look elsewhere

Our read

Docket is a poor fit for early-stage teams without material inbound traffic or a $3,000/month starting budget: its Growth package starts at that price and is scoped to up to 20,000 monthly visitors. It is also not a self-serve trial product - the vendor says there is no free trial - and the core value depends on connecting CRM and other knowledge sources rather than simply installing a standalone chat widget.

Docket FAQ

What does Docket do with a website visitor?

Docket says its agent engages visitors in a conversation, qualifies intent, books meetings, and synchronises the conversation, pain points, qualification answers, company context, and next steps into Salesforce or HubSpot.

Vendor's own claim
How is Docket priced?

Pricing is based on monthly website traffic, not seats or conversation count. Growth starts at $3,000/month billed annually for up to 20,000 visitors; Scale starts at $4,000/month for 20,000 - 100,000 visitors; Enterprise is custom for 100,000+ visitors.

From official docs
Is there a free trial?

No. Docket's pricing FAQ says a free trial is not currently available, though it offers a customised demo built around a prospective customer's website.

From official docs
Does Docket require engineering work?

Our read is that this reduces engineering work, but a buyer still needs to make deliberate data, routing, and qualification decisions.

Our read
Which CRM systems are named for sync?

The integrations page also lists both in its CRM category.

From official docs
Which knowledge sources can Docket connect?

The pricing page lists CRM, Gong, Slack, Google Drive, Notion, SharePoint, and 100+ more technologies as potential data sources. The integration page separately lists examples including Gong, Slack, Notion, Confluence, SharePoint, Salesforce, HubSpot, and Zendesk.

Vendor's own claim
Are Docket's pipeline outcomes independently verified here?

No. The vendor publishes outcome figures on its pricing page, but this directory did not test them or collect an independent study. Treat those figures as vendor claims rather than a performance guarantee.

Our read

Verify before you buy

  • API, MCP, developer documentation, security documentation, and runtime outcome testing

Other products that solve a similar job or fit the same part of the GTM stack.

Need help setting it up?

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