Meet Docket's Marketing Agent

Experience first-hand how AI can educate, qualify, and convert your website visitors into high-intent prospects and fiercely loyal customers

Why Docket

Built to sell, not just chat

SE-caliber discovery questions that uncover budget, timeline, and decision-makers.

Multimodal by design

Voice calls, visual demos, and interactive guidance that convert faster than text-only chat.

Enterprise Grade Accuracy & Control

Verified answers and knowledge graphs that prevent costly hallucinations.

Docket vs Qualified

Explore how an AI-native conversational agent changes the game compared to a traditional chatbot

Docket

Qualified PiperX

Core philosophy
AI Product Expert (agentic, reasoning, action)
Conversational marketing/chat with AI assist
Knowledge quality
Proprietary cleansing removes noise, deduplicates, updates recency; verified Q&A; bestseller‑weighted “tribal” knowledge; curated knowledge graph
Primarily static content + rules; risk of generic or stale responses
SE‑quality answers
Solution‑oriented, persona‑aware, scenario/reasoning answers (not just factual)
Factual/templated bot replies, limited sales engineering nuance
Slides & Video Retrieval
Solution‑oriented, persona‑aware, scenario/reasoning answers (not just factual)
Factual/templated bot replies, limited sales engineering nuance
Multimodal selling
Voice + text + slides/images + video; can present and speak in calls and on site
Text‑centric chat experiences
On‑site discovery
Progressive profiling and dynamic discovery flows to qualify without friction
Form gates and staged bot dialogs
Pipeline impact
Built‑in A/B testing framework and pipeline attribution (promised in product roadmap)
Form-fill/MQL oriented; pipeline tie‑back typically indirect
Control/guardrails
Topic, tone, exclusions (e.g., pricing), answer verification, citations
Rules, playbooks; limited verified answer system
Recency & accuracy
Recency re‑ranking, post‑generation critiquing, verified answer retrieval
Relies on latest uploaded content; minimal post‑gen critique
Data ingestion
Slack, Gong/Chorus/Clari, Drive, Confluence, website crawl, CRM, etc.; daily to hourly deltas
Standard CMS/CRM connects; heavy playbook setup
Setup/go‑live speed
Preprocessing lifts accuracy and lowers run‑time cost; 24–72h to first value typical
Multi‑week playbook and rules tuning
Pricing model
Consumption‑aligned; caps available; predictable enterprise bundles
Large fixed platform fees for site coverage

Docket vs Qualified

Explore how an AI-native conversational agent changes the game compared to a traditional chatbot

Docket

Qualified PiperX

Core philosophy
AI Product Expert (agentic, reasoning, action)
Conversational marketing/chat with AI assist
Knowledge quality
Proprietary cleansing removes noise, deduplicates, updates recency; verified Q&A; bestseller‑weighted “tribal” knowledge; curated knowledge graph
Primarily static content + rules; risk of generic or stale responses
SE‑quality answers
Solution‑oriented, persona‑aware, scenario/reasoning answers (not just factual)
Factual/templated bot replies, limited sales engineering nuance
Multimodal selling
Voice + text + slides/images + video; can present and speak in calls and on site
Text‑centric chat experiences
On‑site discovery
Progressive profiling and dynamic discovery flows to qualify without friction
Form gates and staged bot dialogs
Pipeline impact
Built‑in A/B testing framework and pipeline attribution (promised in product roadmap)
Form-fill/MQL oriented; pipeline tie‑back typically indirect
Control/guardrails
Topic, tone, exclusions (e.g., pricing), answer verification, citations
Rules, playbooks; limited verified answer system
Recency & accuracy
Recency re‑ranking, post‑generation critiquing, verified answer retrieval
Relies on latest uploaded content; minimal post‑gen critique
Data ingestion
Slack, Gong/Chorus/Clari, Drive, Confluence, website crawl, CRM, etc.; daily to hourly deltas
Standard CMS/CRM connects; heavy playbook setup
Setup/go‑live speed
Preprocessing lifts accuracy and lowers run‑time cost; 24–72h to first value typical
Multi‑week playbook and rules tuning
Pricing model
Consumption‑aligned; caps available; predictable enterprise bundles
Large fixed platform fees for site coverage

Why teams are replacing Qualified with Docket

Proprietary Knowledge Preprocessing

Pristine knowledge base with 90% fewer AI mistakes.
Filters out chit-chat from calls and Slack to focus on sales-critical insights, dedupes drafts and prioritizes current documentation.

Avg. onboarding time

Knowledge Graph for Revenue

Lightning-fast, contextually perfect responses that advance opportunities.

Sales-centric intelligence, not generic corporate knowledge, focused on objections, competitors, case studies, discovery questions, and ROI while maintaining granular accuracy.

Avg. onboarding time
Avg. onboarding time

Triple-Verification System

Enterprise-grade accuracy that protects deals and brand reputation.
Retrieves → Reasons → Critiques → Verifies before responding, multi-step validation process prevents costly AI errors by citing sources and fact-checking before delivering answers.

Multimodal Experiences That Convert

Personalized interactions that match how prospects prefer to learn.
Voice-first or text, tailored to page intent and visitor history, to deliver seamless conversations that feel like talking to your best rep, with visual explanations (slides and screenshots) for complex concepts.

Avg. onboarding time

Frequently Asked Questions

Is this just another chatbot?
No. Docket is an AI-native Marketing Agent that educates buyers, qualifies intent, and books the right rep automatically.
How does Docket handle security?
Access is limited to approved sources; data retention is controlled; transcripts and fields write only to systems you specify. Audits are exportable for review.
What about uptime and support?
Docket has white-glove onboarding and responsive support; your agent goes live quickly and improves with feedback over time.
Do you have to have a native integration with Salesforce?
Yes, We have 100+ integrations including Native integrations with Salesforce, HubSpot etc.

Ready for a qualified alternative, Docket provides…

“Fair, consumption‑aligned pricing” — Start with a simple platform fee, then pay by minutes or engagements. Add soft overage and a hard cap for predictability. No surprise true‑ups. Qualified/Drift-like tools often cost 3–5x more for text-only chat and months of playbook setup. Docket goes live fast and charges for actual value delivered.
Docket Integrations

Ready for a safer, smarter Qualified alternative?

Ready for a safer, smarter Qualified alternative?