GPTWeb DQLs — Discussion Qualified Leads

glad you asked! The GPTWeb DQL engine is one of the most differentiated capabilities on the platform — and it's all working in real time. Discussion Qualified Leads (DQLs™) replace the old MQL model with something far more intelligent: instead of qualifying a lead based on form fills or email opens, GPTWeb qualifies visitors based on the depth and intent of their actual conversations. When a visitor's combined AI score crosses your configured DQL threshold, the gptweb_dql_achieved event fires automatically.

Once a DQL is achieved, the platform pushes a rich set of engagement data directly to your CRM — including the gptweb_is_dql flag, the gptweb_ai_score (0-100), gptweb_dql_date, conversation count, visit count, and both engagement and behavioral score components. You can use the Visitor Management quick filters to find your DQLs instantly, feed them into Agentic Workflows for automated follow-up, and tune your DQL threshold based on sales feedback over time.

The best next step is to review your current DQL threshold in AI Scoring, check how your DQLs are flowing into CRM Sync for HubSpot or Salesforce, and pair them with AI Campaigns to nurture those qualified conversations into pipeline. You can also explore What are DQLs™? for a deeper breakdown of the concept and scoring model. GPTWeb is the future of engagement — websites and marketing automation combined, built for the AI era, built for now.