Anshul Gupta highlights the emerging significance of context graphs in the realm of go-to-market (GTM) strategies. Unlike traditional systems that merely record outcomes, context graphs capture the decision-making processes that lead to those outcomes. As AI becomes more accessible, competitive advantage will hinge on the unique insights companies gain from understanding their sales processes, rather than just having better models. This is especially critical in GTM, where even marginal improvements in decision-making can significantly impact budgets that often allocate 30-50% to sales and marketing. The complexity of GTM lies in three main areas: fragmentation of people, systems, and decision traces. Different teams involved in the sales process often lose vital context during handoffs, leading to incomplete narratives about accounts. Current tools like Salesforce fall short, as they primarily track outcomes without capturing the nuances that drive those results. Sales leaders rarely turn to Salesforce for real-time insights, as it fails to provide a comprehensive view of the account's journey. This results in missed opportunities for learning and optimization. Gupta points out that while many point solutions exist to address specific aspects of sales workflows, they typically lack the ability to stitch together a cohesive account history. This means that even when integrated, these tools do not provide the continuous context needed to understand the trajectory of customer interactions fully. The real promise lies in creating a continuous account-level record where decision traces and contextual data are captured in real time, ultimately improving sales performance and forecasting accuracy.