The most common question we get about Docket is how it differs from Glean. It is a fair question because both products involve AI, knowledge, and sales teams. But the comparison breaks down quickly once you look at what each product is actually built to do.
Glean is an enterprise search tool. Its job is to help employees find information across the tools your company already uses: Slack, Google Drive, Salesforce, Confluence, and dozens of others. It is a horizontal product built for the entire organization, from HR to IT to sales.
Docket is the Agentic Marketing platform for B2B revenue teams. Its AI Marketing Agent opens a real conversation, answers from your approved product knowledge, qualifies intent in real time, and delivers an AQL to your rep.
These are not two approaches to the same problem. They are two different products solving two different problems for two different buyers.
How Docket Has Evolved
Note: Docket launched as a sales knowledge retrieval tool for internal reps, sometimes described as an AI Sales Engineer or AI Sales Agent. Those terms and that positioning reflect an earlier product stage and have been retired.Docket is now the Agentic Marketing platform for B2B revenue teams. The Sales Knowledge LakeTM remains the governed knowledge foundation for internal rep use cases. The AI Marketing Agent is the current primary product, built on top of that foundation to run inbound buyer engagement autonomously.
Docket started by solving a specific internal problem: sales reps were losing deals because they could not access accurate product knowledge fast enough during conversations. The answer to that was the Docket Sales Knowledge LakeTM, a governed knowledge architecture that unifies product docs, pricing, security material, call recordings, and enablement content into a single approved source of truth.
What Docket discovered was that the same governed knowledge foundation that made internal reps more effective could be deployed externally, in live buyer conversations on the website, 24 hours a day, without a human in the loop. That is the AI Marketing Agent. It is the Sales Knowledge LakeTM made buyer-facing: answering real questions, qualifying intent, booking meetings, and producing AQLs automatically.
So Docket covers both use cases today: the Sales Knowledge Lake for internal rep productivity, and the AI Marketing Agent for inbound buyer engagement. Glean covers neither in the way Docket does. Here is why.
How Does Docket's Sales Knowledge Lake Differ from Glean's Enterprise Search?
The distinction is not search quality. It is knowledge governance.
Glean indexes broadly. It crawls your connected tools and returns results based on relevance. That works well for finding a document, locating a Slack thread, or surfacing a policy. For sales use cases, broad indexing creates a specific problem: your sales reps are not searching for documents. They are asking questions during live calls, and they need the answer to be accurate, approved, and stated the way your team would state it.
A Glean search for 'how do we compare to Competitor X' might return a two-year-old deck, a Slack thread where someone speculated incorrectly, and a positioning doc from the last product launch. The rep sees three conflicting answers and has to judge which one is current. That is not a knowledge problem. That is a governance problem.
Docket's Sales Knowledge LakeTM solves the governance problem. Every answer comes from approved knowledge only. Outdated content is detected and resolved automatically. Conflicting data is flagged and cleaned. The rep asks the question and gets one answer: the correct one, sourced from the material your PMM and product team have approved. Citations included.
"We could see immediately, just how fast we get the answer versus go look up that answer side-by-side on a screen. It's already composed and ready to go. And then, when you look at the answer and see how close it is, you can see: okay, great. Now I can trust this more." - Jack Torlucci, Senior Director of Solutions Consulting, Demandbase
Demandbase automated 93% of their seller queries using Docket's governed knowledge foundation and went live in under two weeks. 90% of their RFPs are now auto-completed in minutes. Before Docket, that work took approximately one week per questionnaire and required 12 Solutions Consultants. It now runs with one person managing end-to-end.
93% of Demandbase seller queries automated using Docket's governed knowledge foundation
90% of RFPs auto-completed in minutes, down from approximately one week per questionnaire
What Can Docket Do That Glean Cannot?
Glean is an internal tool. It has no buyer-facing capability. A website visitor cannot ask Glean a question. Glean cannot qualify a lead, book a meeting, or sync an AQL to your CRM.
Docket's AI Marketing Agent does all of that. It deploys the same governed knowledge that powers the Sales Knowledge Lake in live conversations with website visitors: real buyers, in evaluation mode, at the moment they are most likely to convert.
When a high-intent buyer lands on your pricing page at 11pm, Glean is not there. Your form is there. Docket is there instead of the form. It answers the buyer's question from your approved knowledge, runs qualification using your criteria (MEDDIC, BANT, or a custom framework), books the meeting if intent is clear, and syncs a full Agent-Qualified Lead to your CRM before anyone on your team opens Slack.
A mid-market SaaS company using Docket for the buyer-facing motion trimmed 3 days from a 30-day sales cycle, reduced qualification overhead from 3 FTE to 0.5 FTE, and dropped response time from 4 to 5 hours to near-instant. Their Head of Sales described it as essential to how their team sells now.
"Before Docket, our sales team was constantly hitting the same wall: they'd be on calls with prospects, questions would come up, and they'd have to say 'let me get back to you on that.' Every delay like that kills momentum and costs deals. What stood out immediately with Docket was how accurate the information is. When our reps are in the middle of a conversation and need an answer, they can actually trust what they're getting." - Aaron Bird, CEO, Inflection.io
Docket vs. Glean: A Direct Comparison Across the Dimensions That Matter
When Should You Choose Glean and When Should You Choose Docket?
The honest answer is that for many revenue teams, these products are not competing with each other. They serve different parts of the organization.
Glean is the right choice if:
- You need a horizontal enterprise search tool that serves all departments, not just revenue teams
- Your primary goal is helping employees find existing documents and information faster
- You do not need buyer-facing AI or pipeline generation from the same platform
- Your IT and operations teams need a broad knowledge management layer across all tools
Docket is the right choice if:
- You need your website to qualify buyers and produce AQLs without human involvement at each step
- Your sales reps need governed, approved answers to technical and competitive questions during live calls
- You are running complex, multi-product deals where sales knowledge needs to be precise, not just searchable
- You want the same knowledge foundation to power both internal rep enablement and buyer-facing conversations
- You need to deploy in 1 to 2 weeks, not months
If you need both, the right architecture is Glean for enterprise-wide search across all departments, and Docket for the revenue motion: governed sales knowledge for reps and an AI Marketing Agent for buyer-facing pipeline generation. They are not the same product, and they do not need to compete for the same budget line.
See what governed knowledge looks like in a live buyer conversation.
Book a demo and walk through the Docket Sales Knowledge Lake and AI Marketing Agent end to end, from the first website question to the AQL in your CRM.