Self-improving
Opening experiments run for you.
Docket puts an AI agent on your website that answers product-expert questions, qualifies and books meetings, drawing on a knowledge lake built from your CRM, call recordings and docs, from $3,000 a month. Darwin does the answering and booking too, at a published per-meeting price, and keeps testing its openings. Here's how they compare.
Opening experiments run for you.
Your website becomes your starting point.
Try Darwin with included bookings.
Docket is aimed at B2B companies selling something complicated, with an enterprise budget and a wish for an agent that has absorbed every Gong call and Confluence page. Darwin is aimed at teams that want meetings from their website this week, set it up themselves, and pay per booking rather than sign a year-long contract. The rows below compare automation, setup and price.
How each product improves the openings that start sales conversations.
| What matters | Darwin | |
|---|---|---|
| Self-improves to book more meetingsi | Yes | Active learning |
| Writes new openings for each pagei | Yes | Not documented |
| Tests and keeps better openingsi | Yes | Not documented |
| Starts the next test automaticallyi | Yes | Not documented |
Creates tests. Promotes qualifying winners. Tests again. 1
With automation enabled, on eligible pages within your plan. Tests need enough traffic; a lift is not guaranteed.
Checked Sep 11, 2026Docket cites Active Learning components; an autonomous opening test loop is not documented. 2
No A/B testing or opening optimization is described.
Checked Sep 11, 2026Creates opening variants from page context. 1
For pages with automation enabled and sufficient traffic to run an experiment. Every plan includes unlimited optimized pages.
Checked Sep 11, 2026Per-page opening generation is not documented. 2
Public pages describe a frameless agent embedded in the page.
Checked Sep 11, 2026The next opening experiment builds from the current winner. 1
Automation must be enabled and the page eligible. This does not guarantee improving results.
Checked Sep 11, 2026An automatic cycle of generating, testing and replacing openings is not documented. 2
Improvement is described as active learning.
Checked Sep 11, 2026What the product prepares for you before you go live.
| What matters | Darwin | |
|---|---|---|
| Learns from your websitei | Yes | Knowledge Lake |
| Drafts your sales settingsi | Yes | Not documented |
| Matches chat to your brandi | Colors & fonts | Not documented |
| Writes your first chat openingi | Yes | Not documented |
| Review before going livei | Yes | Not documented |
Discovers relevant website pages and prepares the knowledge base. 3
Initial setup selects key pages for speed; more pages can be imported later.
Checked Sep 11, 2026Prepares business information and assistant settings from the website. 3
The user can review and refine the generated draft.
Checked Sep 11, 2026Automatic drafting of business settings from the website is not documented. 5
Implementation is done by Docket's CS team in 7 to 14 days.
Checked Sep 11, 2026Extracts brand colors, fonts and assets for the chat design. 3
Brand detection is a draft: available fonts, contrast and source-site access affect the result.
Checked Sep 11, 2026Automatic brand import is not documented. 2
The frameless agent adopts the page design during implementation.
Checked Sep 11, 2026Drafts the first chat opening from the business context. 3
Uses the same opening requirements as the experiment writer; the draft remains editable.
Checked Sep 11, 2026How the first opening is created is not documented. 2
Conversations are configured during implementation.
Checked Sep 11, 2026The assistant draft can be reviewed and refined before installation. 3
Calendar connection, testing and website installation remain separate completion steps.
Checked Sep 11, 2026A customer-run test step is not documented; Docket's team handles implementation. 5
Onboarding takes 7 to 14 days.
Checked Sep 11, 2026USD before tax. Darwin charges per booked meeting. Docket sells annual plans from $3,000 a month by visitor volume, with unlimited conversations.
| What matters | Darwin | |
|---|---|---|
| Lowest monthly platform feei | 0 USD / month | 3,000 USD / month |
| Introductory offeri | 5 free bookings | No |
| AI usage chargei | 20 USD / booking | Unlimited conversations |
| Paid plans start ati | 99 USD / month | 3,000 USD / month |
| Included on paid plansi | 5–60 bookings / month | 20K–100K visitors |
| Additional paid-plan usagei | $5–$15 / booking | Unlimited conversations |
Darwin keeps trying new openings on the pages you allow it to, and it keeps the ones that get visitors talking and booking. You don't run the tests. You just show up to the meetings.
See how Darwin improvesStart with the job you need your chat to do.
Turn website visits into sales meetings.
An implemented AI demand agent for complex B2B products.
Growth starts at $3,000 a month, billed annually, and covers up to 20,000 monthly visitors with unlimited conversations and implementation by Docket's team. Scale starts at $4,000. Docket says plainly that there's no free trial. Darwin's Origin plan has no monthly fee, throws in five bookings, and charges per meeting booked from there.
58It does. Every Docket plan lists meeting booking with calendar integration, and the agent runs qualification and discovery before it books anything. Darwin's chat proposes a time and lets your connected scheduler close the loop. With either product, it's worth confirming what the calendar tool actually records as a booked meeting.
579Docket assembles what it calls a Sales Knowledge Lake from your CRM, your call recordings in Gong or Zoom, and documents sitting in Google Drive, Notion, Confluence and SharePoint, and Docket's own team does the assembling during a one-to-two-week implementation. Darwin starts smaller and faster: it reads your website and whatever knowledge you add, and you can set it up yourself.
2410Published by Darwin, using the official documentation linked below. This is a comparison of documented capabilities, not a hands-on benchmark. “Not documented” means the reviewed sources do not establish that capability; it does not prove absence. Docket prices are annual plans by monthly visitor volume with unlimited conversations, and no trial. Darwin bills for booked meetings. Setup means preparing a draft, not automatically installing it.
Frameless agent as part of the page; full attribution from first question to closed deal; Active Learning components; unified sales knowledge.
Salesforce, HubSpot, Gong, Zoom, Avoma, Google Drive, Notion, Confluence, SharePoint, Slack.
Growth from $3,000 per month billed annually up to 20,000 visitors; Scale from $4,000; Enterprise custom; unlimited conversations; meeting booking and calendar integration; implementation by Docket; no free trial.
Inbound Demand Platform; engages every visitor in real conversation; answers product-expert questions from the Sales Knowledge Lake; books meetings; syncs to Salesforce and HubSpot; voice and text.