3–6%
Conversation start rate vs 1–3% on legacy flows
3 days
Typical go-live. Faster than any competitor.
15%
Lift in qualified pipeline for Docket customers
Wall of love

Operators leading B2B GTM, on Docket

Real reviews and reactions from G2, LinkedIn, and live customer calls.
See the full wall of love →

Recorded customer call
It is kind of shocking and it's awesome. Right off the bat, Docket's the winner for me.
Click to play the clip
VP of Revenue · MarTech, 1,000+ employees
Steve Armenti
Steve Armenti
Founder, twelfth agency
LinkedIn
I implemented Docket on our website recently. Instead of hoping visitors fill out a form and waiting for follow-up, this AI agent actually engages prospects in real-time conversations.

It asks discovery questions like a human sales rep would. Qualifies prospects using frameworks like BANT automatically. Books meetings directly with me when prospects are ready.
Recorded customer call
It actually qualifies using BANT and MEDDIC. Qualified feels like it just answers your questions and pushes you towards getting the demo. This is more of an actual sales conversation.
Click to play the clip
Director of Marketing · Sales Enablement Tech, 500+ employees
SC
Sherin C.
Marketing Leader
G2
Rapid Lead Qualification with Effortless Setup
Within a week of implementation, it became a quiet powerhouse, engaging site visitors intelligently, answering complex product queries, and qualifying leads before they reached our sales team. DocketAI doesn't just chat; it understands.
In-production findings — 1mind AI
01 / MEMORY
Fresh start, every time
The same visitor returns the next day and the agent has no record of them. Every session begins from scratch, on every placement.
02 / AWARENESS
No funnel-stage detection
A first-time anonymous visitor and a logged-in user who has been back three times this week get the same opening line.
03 / ATTRIBUTION
Attribution is a Salesforce report
Public-URL conversations cannot be tied to purchases. Teams build manual reports outside the platform to figure out if the agent is working.
The demo is not the deployment. These are the gaps that show up after launch.

Docket vs 1mind AI

1mind's avatar technology is real. So is the in-production gap: no cross-session memory, no funnel-stage awareness, and attribution that requires manual reporting built outside the platform.

Docket
1mind AI
Knowledge architecture
Structured Sales Knowledge Lake: an interconnected graph across objections, competitors, case studies, discovery questions, and ROI. Enables relational reasoning across topics.
Content-trained model. No published knowledge graph. Knowledge depends on content fed during onboarding workshops.
Multi-agent deployment
Deploy multiple agents across chat, voice, and email. Each gets its own behavior, knowledge scope, starting rules, and directives. A/B test agents.
Multiple agents supported. Per-agent knowledge scoping, routing rules, and A/B testing not published.
Integration breadth
50+ native integrations: Slack, Gong, SharePoint, Drive, Salesforce, HubSpot, Intercom, and more. Ingested automatically via Dynamic Context Ingestion.
Salesforce, HubSpot, Zoom, Teams, and Slack confirmed. No Gong or SharePoint ingestion confirmed. No published integration count.
Knowledge sync
Automatic re-sync on a 7, 14, or 30-day cadence. Knowledge stays current without any action from your team.
No automatic re-sync published. Content is updated manually during workshops. Changes require re-engaging the 1mind team.
Go-live timeline
4 to 5 days typical. White-glove onboarding handles the heavy lifting. Around 4 to 6 hours of your team's time required.
Avatar production, persona workshops, content ingestion, and multiple testing and iteration rounds required before launch.
Multilingual support
40+ languages with on-the-fly switching within the same conversation. No setup required per language.
Language support beyond English not independently confirmed.
Pricing
Transparent, published pricing. Starts at $36,000/year. Predictable.
Custom enterprise pricing. No published tiers. Usage-based. Subject to required needs and external integrations.
Cross-session memory
Persistent visitor profile across sessions and placements. Anonymous visitors get a unique ID. Once identified, the full conversation history ties to their CRM record.
No cross-session memory. Each conversation starts from scratch, even if the same visitor returned the day before on the same platform.
Funnel-stage awareness
Reads page context, CRM data, and behavioral signals injected from your app. Adapts the conversation to the buyer's current stage automatically.
No documented funnel-stage detection. Same starting behavior regardless of where a visitor is in the buying journey or how many times they have returned.
Attribution model
Session stitching, anonymous visitor ID, and CRM sync out of the box. Connects anonymous traffic to identified leads without manual exports or custom reporting.
Conversations sync to Salesforce, but connecting public-URL traffic to purchases requires a manual Salesforce report built outside the platform.
Docket
1mind AI
Knowledge architecture
Structured Sales Knowledge Lake: an interconnected graph across objections, competitors, case studies, discovery questions, and ROI. Enables relational reasoning across topics.
Content-trained model. No published knowledge graph. Knowledge depends on content fed during onboarding workshops.
Multi-agent deployment
Deploy multiple agents across chat, voice, and email. Each gets its own behavior, knowledge scope, starting rules, and directives. A/B test agents.
Multiple agents supported. Per-agent knowledge scoping, routing rules, and A/B testing not published.
Integration breadth
50+ native integrations: Slack, Gong, SharePoint, Drive, Salesforce, HubSpot, Intercom, and more. Ingested automatically via Dynamic Context Ingestion.
Salesforce, HubSpot, Zoom, Teams, and Slack confirmed. No Gong or SharePoint ingestion confirmed. No published integration count.
Knowledge sync
Automatic re-sync on a 7, 14, or 30-day cadence. Knowledge stays current without any action from your team.
No automatic re-sync published. Content is updated manually during workshops. Changes require re-engaging the 1mind team.
Go-live timeline
4 to 5 days typical. White-glove onboarding handles the heavy lifting. Around 4 to 6 hours of your team's time required.
Avatar production, persona workshops, content ingestion, and multiple testing and iteration rounds required before launch.
Multilingual support
40+ languages with on-the-fly switching within the same conversation. No setup required per language.
Language support beyond English not independently confirmed.
Pricing
Transparent, published pricing. Starts at $36,000/year. Predictable.
Custom enterprise pricing. No published tiers. Usage-based. Subject to required needs and external integrations.
Cross-session memory
Persistent visitor profile across sessions and placements. Anonymous visitors get a unique ID. Once identified, the full conversation history ties to their CRM record.
No cross-session memory. Each conversation starts from scratch, even if the same visitor returned the day before on the same platform.
Funnel-stage awareness
Reads page context, CRM data, and behavioral signals injected from your app. Adapts the conversation to the buyer's current stage automatically.
No documented funnel-stage detection. Same starting behavior regardless of where a visitor is in the buying journey or how many times they have returned.
Attribution model
Session stitching, anonymous visitor ID, and CRM sync out of the box. Connects anonymous traffic to identified leads without manual exports or custom reporting.
Conversations sync to Salesforce, but connecting public-URL traffic to purchases requires a manual Salesforce report built outside the platform.

The price gap is only part of the story

1mind's cost starts at $100,000+ before the extras. Docket's price is published, all-in, and a fraction of that.

1mind
$100,000+
estimated starting price, per year
  • Avatar production required before go-live
  • Persona workshops add weeks to setup
  • Usage-based pricing, no published tiers
  • Custom quote required
  • 12 to 18 weeks to deployment

Pricing based on publicly reported figures and market research. Actual contract terms may vary.

Docket: Published pricing
$36,000
per year, all-in
  • Transparent, published pricing. No surprises
  • White-glove onboarding included
  • Live in 4 days, not 4 months
  • 50+ integrations out of the box
  • No avatar workshops required
See Docket In Action For Your Website

What you get with Docket that 1mind doesn't offer

A knowledge graph, not a trained model

1mind trains a model on your documents. Docket builds a structured graph: product, competition, objections, case studies, and ROI, all interconnected. When a buyer asks a hard multi-part question, Docket reasons across topics. 1mind pattern-matches.

Sales Knowledge Graph

Memory that follows the buyer, not the page

1mind starts every conversation from scratch, even if the same visitor returned yesterday. Docket maintains context across sessions and placements: anonymous visitors get a persistent ID, and once identified, the full conversation history ties to their CRM record. No manual attribution reports. No Salesforce exports.

Cross-session memory

Live on your website in 4 days

Your team commits 4 to 6 hours. Docket's CS team handles knowledge ingestion, CRM setup, and agent configuration. 1mind requires avatar production, persona workshops, and multiple testing rounds before launch.

Live on your website in 4 days

Ready for a 1mind alternative? Docket provides…

  • Structured Sales Knowledge Lake, not a content-trained model
  • 50+ integrations including Slack, Gong, SharePoint, Drive, Salesforce, and HubSpot
  • Automatic re-sync on 7, 14, or 30-day cadences. No manual re-engagement with a vendor team.
  • Per-agent knowledge scoping, routing rules, and A/B testing
  • Live in 4 days with around 4 to 6 hours of your team's time
Salesforce HubSpot Gong Slack Notion Google Drive SharePoint +43 more
Docket Integrations
More from the wall

Hear it. Read it. Then talk to ours.

Live audio from B2B leaders trying Docket for the first time, plus reviews from G2.
See more reactions →

Recorded customer call
All the responses were on point. Technically accurate. We will lose credibility instantly if any of that goes wrong, because our audience is very captive.
Click to play the clip
CMO · Cybersecurity, 200+ employees
SN
Sai N.
Product & Growth, Mid-Market (51-1000 emp.)
G2
Docket Turned Our Website Into a Lead Engine
What stands out most is how "alive" our website feels now. DocketAI's marketing agent doesn't just greet visitors. It holds intelligent, on-brand conversations that actually move them forward. We went live in under two weeks and saw a 10% lift in qualified inbound leads almost immediately.
Recorded customer call
I was kind of wincing because we don't have competitive information on our site. I'm wondering how it was going to respond. I actually thought it was pretty impressive.
Click to play the clip
VP Marketing · HR & Benefits Software, 200+ employees
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Frequently Asked Questions

Does 1mind have a knowledge graph?
No. 1mind trains a model on your content during onboarding workshops. Docket's Sales Knowledge Lake is a structured, interconnected graph across product, competition, objections, case studies, and ROI. That enables relational reasoning across topics, not just pattern-matching against training data.
Does 1mind carry context between sessions or placements?
No. 1mind starts each conversation from scratch, even if the same visitor returns the next day or moves between placements on the same platform. Attribution to purchases on public URLs requires a manual Salesforce report built outside the platform. Docket assigns anonymous visitors a persistent ID from the first touch, carries context across sessions and placements, and syncs the full conversation history to CRM once the visitor is identified.
How long does 1mind take to go live?
1mind requires avatar production, persona workshops, and multiple testing rounds. One G2 reviewer noted: 'We did need to invest time in testing and iterating multiple times before launch.' Docket deploys in 4 to 5 days, requiring around 4 to 6 hours of your team's time.

Ready to go live without the workshops? Try a faster, more connected 1mind alternative.

See Docket In Action For Your Website