November 3, 2026
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5 min

Demand Agent: the first conversation a buyer has with your company

What is a Demand Agent?

A Demand Agent is an always-on AI agent that holds the first conversation with every buyer who lands on a B2B website. It answers their questions from knowledge your team has approved, qualifies intent while the conversation is happening, routes the buyer to the right person, books the meeting and writes the full conversation to your CRM.

The Demand Agent is Docket's core product. Docket calls itself The Demand Platform, and the Demand Agent is where that platform starts.

Why do B2B teams need a Demand Agent?

Most B2B websites convert less than 2% of visitors. The buyers who leave aren't uninterested. They had a specific question about an integration, a security requirement or how pricing works for their team, and the site offered a form and a wait. 68% of qualified Docket conversations happen outside 9 to 5, when nobody is there to answer.

A Demand Agent closes that gap at the moment of intent. The buyer gets an answer while they're still evaluating, and your team gets a qualified meeting instead of a form fill to chase.

How is a Demand Agent different from a chatbot or an AI SDR?

A chatbot follows a script and defaults to "let me connect you with someone" the moment a buyer asks something it wasn't built for. An AI SDR works outbound, starting conversations with people who haven't shown intent yet. A Demand Agent works inbound. It meets the buyer who already arrived, reasons from your approved knowledge and finishes the job in the same conversation.

ChatbotAI SDRDemand Agent
Who starts the conversationThe visitor, inside a scripted flowThe AI, through cold outreachThe buyer, on your website, in their own words
Where answers come fromA decision tree written in advanceTemplates and enrichment dataYour approved knowledge in the Sales Knowledge Lake™
Off-script questionsHands off to a form or a humanNot built for inbound questionsReasons through them or escalates by rule
QualificationCollects form fieldsScores on outbound repliesRuns discovery in the conversation against your criteria
Returning buyersStarts overNot applicablePicks up where the buyer left off
OutputA form fillA reply to a sequenceAn Agent Qualified Lead with full context in CRM

What does a Demand Agent do in a conversation?

  • Recognizes the buyer. Docket's Buyer Context Graph passes what's already known to the agent before the first message: CRM history, firmographics and what the visitor is doing on the page right now.
  • Answers from approved knowledge. Every answer comes from the Sales Knowledge Lake™, which unifies your product docs, pricing guidance, security material and call recordings. When a question falls outside it, the agent escalates by rule instead of improvising.
  • Qualifies in the flow. The agent runs discovery against MEDDIC, BANT or your own criteria as the buyer talks, without stopping them for a form.
  • Routes and books. Qualified buyers book time with the right rep through the routing you already use.
  • Writes it all down. The conversation, qualification detail and next step land in your CRM as an Agent Qualified Lead (AQL).
  • Remembers. A returning buyer, or a colleague from the same account, picks up where the last conversation ended.

Buyers can type or talk. The Demand Agent runs text and voice in the same conversation, in more than 40 languages.

What is an Agent Qualified Lead?

An Agent Qualified Lead is the output of a Demand Agent conversation: a buyer who has stated their needs, shown fit against your criteria and agreed to a next step. An MQL scores behavior like downloads and page visits and guesses at intent. An AQL documents intent in the buyer's own words. Read more in Agent Qualified Lead (AQL).

Where does a Demand Agent run?

It starts on your website, as a chat and voice agent or inside the page itself with Frameless. With WebMCP, a buyer's AI assistant can ask your website questions and hand off to your Demand Agent when the buyer wants a demo. The same governed knowledge is built to power more demand workflows, like email and nurture, without rebuilding it for each one.

What results do teams see?

Superheat launched Samson, a voice-enabled Demand Agent, on its website and held 505 buyer conversations in 80 days, 69% of them meaningful. A revenue effectiveness platform used its Demand Agent to produce 87 qualified leads in five months, every one landing in Salesforce.

Is a Demand Agent the next evolution of the chatbot?

Yes. Chatbots were the first attempt to put a conversation on a B2B website. They ran on decision trees, so they could only handle the questions someone had written a branch for, and every other buyer got sent back to a form. A Demand Agent keeps the conversation and drops the script. It reasons from your approved knowledge, qualifies the buyer while they talk, books the meeting and remembers them on the next visit. Teams replacing Drift, Qualified or a homegrown chatbot keep the same spot on their site and get an agent that finishes the job.

How Docket's Demand Agent gets live

Docket's CS team handles implementation, and most teams are live in 10 to 20 days with no engineering resources required. You connect your knowledge sources, define your qualification criteria and escalation rules, and the agent starts holding conversations. Plans start at $4,000/month, billed annually. See pricing.

Talk to Docket's Demand Agent on docket.io or book a demo.

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