AI Exchange
SEPT. 17, 2026
September 17, 2026
The Rise of Community-Led Growth: When Buyers Trust Peers More Than Brands
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What Replaces It in an Agentic World
Key Takeaways
The MQL is not disappearing so much as losing value as a standalone measure of demand.
Agentic systems can evaluate patterns across buying groups and time instead of scoring isolated actions.
Any replacement must connect activity to the pipeline, give sales usable context, and remain easy for leaders to understand.
An MQL is a leading indicator, not the business outcome. Its value depends on whether fit, behavior, and intent help identify buyers who are likely to progress. As research moves into AI search and other less visible channels, traditional website activity may decline even when demand remains active, making isolated lead scores less reliable.
A more useful model would look for patterns across a buying group, including how many people are active, what they engage with, and how quickly activity is increasing. Instead of treating one action as a static qualification moment, AI can provide a continuously updated view of account intent. It can also filter low-value inquiries, accelerate inbound follow-up, and move clear buying interest directly toward a sales conversation.
Marketing needs trusted data from multiple systems, a summarized account story sales can use, and clear definitions of the signals that have historically led to revenue. Leadership also needs a simple narrative for the change. Senior executives are less concerned with the MQL label than whether marketing is creating enough quality opportunities and what action should follow.
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