Product expert agent

Tech  buyers questions, shouldn't wait hours
(or days) for answers

An AI product expert agent embedded on your docs, pricing, and product pages, available 24/7
Technical buyers do their homework before they ever talk to sales. If they hit a question your docs don't answer clearly, most don't wait, they move on. Docket embeds an AI product expert directly on your documentation and pricing pages to answer deep technical questions in real time, grounded in your actual product content.
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Your docs shouldn't be a dead end.

Technical buyers evaluate in private, on your docs, at 10pm. A conversational agent is the only way to be present in that moment, and it's often the moment that decides the deal.
Documentation is a Sales Channel

Conversational agents turn passive docs into active pipeline

Most technical buyers have made significant progress toward a decision by the time they talk to sales. They've been in your docs, testing your API, reading your pricing page. A conversational agent embedded in that journey doesn't interrupt it, it accelerates it, surfacing answers and qualifying intent in the process.
Self-Serve is a Competitive Advantage

Buyers who evaluate without friction, convert faster

Technical buyers don't want to book a demo to get a technical question answered. They want to find the answer themselves. A conversational agent that handles deep, product-specific questions enables genuine self-serve evaluation, reducing friction, shortening sales cycles, and making your product easier to buy than the alternative.
Gap Between Docs and a Decision

Most deals are won or lost before sales gets involved

By the time a technical buyer submits a demo request, they've usually already made a shortlist decision. What happens in your documentation, whether their questions get answered, whether the product feels approachable, shapes that shortlist. Conversational agents are how you win that pre-sales evaluation phase.
DOCKET in Action

Real answers, not generic AI responses

Docket is embedded in your documentation and grounded in your actual product content, knowledge base, and technical specs. It doesn't hallucinate, it doesn't give generic answers, it gives accurate, product-specific responses that reflect exactly how your product works, the same answer your best solutions engineer would give.
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01
Follow tech buyers across every page
‍Docket maintains full conversation context as buyers move through your site,  from landing page to docs to pricing. No reset. No re-explaining. A developer asking about your webhook schema on page 3 picks up exactly where they left off on page 1.
02
Deep technical answers, instantly
‍Every technical question answered in real time is a bounce you prevented and a deal you kept moving. Your support team stops fielding pre-sales questions that should never have reached the queue, reducing ticket volume from technical prospects significantly.
03
Know when to bring in a human
‍When a technical conversation crosses into commercial territory, pricing tiers, contract structure, procurement timelines,  Docket transitions smoothly and routes to the right rep with the full conversation history attached. No cold handoff, no context lost.
04
Turn your entire knowledge base into a single, coherent conversation
‍Most B2B companies have product knowledge scattered across docs, case studies, battlecards, pricing pages, and sales decks, none of it connected, none of it accessible to a buyer in real time. Docket ingests all of it and synthesizes it into a single, coherent conversation.

Testimonials

Now we have a single, centralized source that is able to scale and handle what 12 people were doing
We do quarterly 360s for all of the assigned sales reps, and for the last three quarters we haven't seen one sales rep say that their SE is slow to respond to things. The perception from the sales reps on how we're supporting them has drastically improved.
Jack Torlucci
Director, Solutions Consulting
We needed more engagement on our website and believed going agent-first was the answer—we're an AI-leaning organization, so the concept made sense. What amazed us was the execution: Docket went from kickoff to live in under three weeks, and the agent was immediately having informed, deep product conversations about both our PLG app and developer API. The level of enterprise control we have over accuracy and routing is exactly what we needed.
Olivier Roth
Co-Founder & Chief Growth Officer
In just two weeks, Docket’s AI agent generated 23 meetings,over five times our baseline conversion rate. What surprised us most? 77% of those meetings were booked outside business hours. That’s pipeline we simply would have missed.
Praveen Das
Co-founder,Factors.AI

Frequently Asked Questions

Have questions?  Our FAQ section has you covered with quick answers to the most common inquiries.

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What is an AI marketing agent for PLG companies?
An AI marketing agent for PLG companies is deployed inside your product to guide free users toward activation and upgrade in real time — answering feature questions in context, explaining the value of paid features at the moment a user encounters them, and driving free-to-paid conversion without manual intervention.
How does Docket improve free-to-paid conversion rates?
Docket deploys an AI marketing agent that activates at key friction points — paywall hits, confusing features, abandonment moments — and guides users toward upgrade with personalized, context-aware conversations. Teams using Docket typically see meaningful improvement in free-to-paid conversion rates.
Why do conversational agents outperform email sequences for PLG conversion?
Email sequences reach users at the wrong moment, without product context, asking for commitment before value has been demonstrated. Conversational agents activate inside the product at the exact moment of highest intent — when a user just encountered the feature they need — and guide them toward upgrade in the session, not the next morning.
Don’t take our word for it. See it in action.

Don’t take our word for it. See it in action.

Book a demo