Leveraging AI for Go-To-Market Efficiency: A Framework for Product-Led Growth in B2B Sales Teams

Author(s)	Adish Rai
Country	United States
Abstract	Product-led growth has emerged as a dominant model in B2B software, where users adopt products through self-service trials before engaging with sales teams. This shift creates challenges for traditional sales organizations that must identify high-value accounts, prioritize expansion opportunities, and personalize outreach based on product usage signals rather than manual research alone. This paper presents a practical framework for B2B sales teams adopting AI-assisted workflows in a product-led environment. We describe how usage data, firmographic enrichment, and language models combine to surface qualified accounts, generate contextual outreach, and support account planning. The framework covers signal identification, data integration patterns, AI-assisted messaging, and operational guardrails. While implementation examples reference common platforms, the approach remains portable to any stack with equivalent capabilities.
Keywords	product-led growth; B2B sales; sales enablement; artificial intelligence; usage analytics; account-based sales; sales automation.
Field	Engineering
Published In	Volume 16, Issue 4, October-December 2025
Published On	2025-10-20
DOI	https://doi.org/10.71097/IJSAT.v16.i4.9534
Short DOI	https://doi.org/hbb8gg

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International Journal on Science and Technology