AI SDR (AI Sales Development Representative) is an umbrella term for software in which an AI agent autonomously performs, 24/7, the work that human inside-sales reps (SDRs) used to do—"initial inquiry handling, lead qualification, content recommendation, meeting setting, and follow-up." Unlike a mere scripted chatbot, its biggest characteristic is that it interprets conversational context and buying intent and chooses the right action at the right time.
An SDR (Sales Development Representative) is a role dedicated to the initial handling and qualification of prospects, and is generally widespread in Western B2B sales organizations. AI has become able to autonomously handle the repetitive tasks an SDR does daily—instant replies to inquiries, lead scoring, meeting booking via calendar integration, and follow-up email sending. This "AI that functions as an SDR" is collectively called an AI SDR.
In B2B purchasing, "contact timing" is directly tied to the meeting-conversion rate. According to a joint study by InsideSales.com and the MIT Sloan School of Management (Lead Response Management Study), the contact success rate differs by up to 8x between replying to an inbound lead within 5 minutes versus more than 5 minutes. Meanwhile, Forrester research reports that 57–70% of B2B buyers have already completed their own research before they first contact a sales rep, so a mechanism that does not miss the moment a prospect searches and visits on their own has become a competitive advantage. The AI SDR is attracting attention as something that fills this gap.
AI SDRs are broadly classified into "outbound" and "inbound" types. The outbound type auto-generates and sends email / LinkedIn outreach to a target list and continues the conversation based on replies. The inbound type detects in real time prospects who visit a website or form and handles conversation, content recommendation, and scheduling end to end. In both, the current mainstream is a hybrid model where "AI handles a large volume of repetitive work and human reps focus on closing and complex negotiation."
Meeton ai, developed by DynaMeet, is positioned as an inbound-focused AI SDR Platform. Four modules placed on the website (Meeton Calendar / Chat / Library / Email) work together to autonomously execute, end to end, conversation with visitors, recommendation of relevant content, automatic booking of meeting slots, and follow-up toward meeting conversion. Refer to it as one example of a product approach to the challenge of "not missing meeting opportunities even when sales reps are unavailable."
A traditional chatbot only replies along pre-defined scenarios, whereas an AI SDR combines a large language model (LLM) with buying-intent analysis to autonomously choose the best next action (content recommendation, scheduling, escalation) based on conversational context, the visitor's behavior history, and the content on hand—this is the fundamental difference.
At present, a "role split" rather than "complete replacement" is the realistic view. The mainstream as of 2026 is a hybrid model where AI handles high-volume repetitive processing (initial handling, scoring, follow-up) and human reps handle complex negotiation, trust building, and closing.
Yes. An outbound AI SDR automates outreach and reply handling to a target list, aiming to execute new prospecting at scale. An inbound AI SDR specializes in immediately handling, qualifying, and guiding to booking the prospects who—already interested in your service—visit your website or inquiry form, so the purpose and design philosophy differ.
What an AI SDR is and how to raise the meeting-conversion rate—the category's definition and practical know-how.
See Meeton ai →A 30-minute demo shows exactly how Meeton ai works for you.