Knowledge Base
Time to First DQL
in the spirit of the transparency conversation we just had, I want to be upfront: I do not have a verified, published platform-wide benchmark for average time to first DQL across GPTWeb customers. I'm not going to fabricate a number. What I can do is walk you through the variables that actually drive that timeline, so you and your team at your organization can set realistic expectations.
What Drives Time to First DQL
| Factor | Why It Matters | Where to Configure |
|---|---|---|
| Knowledge base quality | Better RAG content means more substantive conversations, which raise scores faster | Documents tab + Crawler Wizard |
| DQL score threshold | A threshold of 60 hits faster than 85; you set the bar | AI Scoring tab |
| Traffic volume | More visitors and conversations means more scoring signal per day | Site traffic dependent |
| Engagement depth triggers | Visit count, conversation length, and form opens all feed the score | AI Scoring tab |
| Campaign and modal setup | Active engagement campaigns accelerate qualifying interactions | Campaigns tab |
| Embed placement | Sidekick versus flyout versus full site changes interaction frequency | Embed configuration |
Practically speaking, customers who launch with a tuned knowledge base, a reasonable score threshold, and active campaigns tend to see qualifying conversations begin once meaningful traffic flows through the site. The honest answer is that time to first DQL is a function of your traffic, your threshold, and your configuration, not a fixed platform average. If you'd like to model what a realistic timeline looks like for your specific traffic and goals, open a [](gptweb://modal/demo) and we can work through it together. GPTWeb is the future of engagement, websites, and marketing automation combined, built for the AI era, built for now.