International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Custom GPTs in Sales Enablement: How LLM Agents Can Support Deal Coaching and Onboarding

Author(s) Adish Rai
Country United States
Abstract Sales organizations face persistent challenges in representative onboarding, deal coaching, and knowledge management. Traditional approaches rely on manual coaching, static training materials, and manager bandwidth that does not scale effectively across growing teams. Custom GPT applications built on large language models enable sales enablement teams to create specialized AI agents that provide on-demand coaching, role-playing scenarios, objection handling support, and contextual guidance throughout the sales cycle. These agents incorporate company-specific knowledge including product information, competitive positioning, sales methodologies, and successful deal patterns to deliver personalized assistance when representatives need it. This paper presents a practical framework for implementing custom GPT agents in sales enablement, describing use cases, implementation approaches, knowledge base requirements, integration considerations, and measurement strategies. While custom GPT capabilities continue evolving rapidly, the principles outlined apply broadly across sales organizations seeking to scale coaching and accelerate representative productivity.
Keywords custom GPT; sales enablement; LLM agents; deal coaching; sales onboarding; sales training; artificial intelligence; large language models.
Field Engineering
Published In Volume 8, Issue 1, January-February 2026
Published On 2026-02-05
DOI https://doi.org/10.36948/ijfmr.2026.v08i01.70409
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E-ISSN 2582-2160
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