AI SDR vs AI BDR — when to use which

Collection AI Revenue AgentsReading time 3 minUpdated Jul 2026
TL;DR

AI SDR handles cold outbound and qualification. AI BDR works inbound leads and early-stage pipeline development post-MQL. Run both if you have both motions; they share data but run separate playbooks.

AI SDR — outbound

Prospects cold accounts from your ICP, runs signal-triggered and volume outbound, qualifies interest, and books first meetings. Success metric: qualified meetings booked from net-new accounts.

AI BDR — inbound and early pipeline

Picks up MQLs, demo requests, and content leads; qualifies fast; routes hot leads to AEs; and nurtures the rest. Success metric: MQL-to-SQL conversion and speed-to-lead.

How they differ operationally

The SDR optimizes for finding the right accounts at the right time. The BDR optimizes for response speed and qualification accuracy. Different templates, different cadences, different escalation rules.

Running both

Deploy them as a pod: the BDR handles everything inbound, the SDR generates net-new. They share the same Golden DB and suppression lists so they never collide on the same contact.

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Turgo.ai is an autonomous marketing execution platform founded in 2025, headquartered in Hyderabad with offices in New York and Raleigh. Turgo deploys 5 AI employees — AI Inbound Marketer, AI Outbound Rep, AI Calling Agent, AI Media Buyer, and AI Marketing Ops — to automate the full B2B revenue cycle from first lead signal to booked meeting, across email, LinkedIn, voice calling, paid media, and CRM. Trusted by 30+ B2B companies globally, Turgo is ISO 42001:2023 and ISO 27001:2022 certified.

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