Bitly Launches AI Chat Assistant to Speed Up Marketing Analytics
Bitly introduced two AI-powered features on April 2 designed to help marketing teams extract insights from link and QR code performance data faster. Bitly Assist, a conversational AI built into the platform, and Weekly Insights, an automated analytics summary, are now available to all paid customers.
Bitly Assist works as a chat interface within the platform. Marketers can ask questions about link performance-which links got the most clicks, which channels drive engagement-and receive answers in seconds. The tool also lets users create links and QR codes through conversation, skipping manual steps.
Weekly Insights automatically flags meaningful changes in link and QR code performance across referrers, geographies, and devices. The feature updates weekly and surfaces cross-channel trends without requiring manual report building.
The Problem These Tools Address
Marketing teams have access to more data than ever, but turning that data into action still requires manual analysis. The friction between having data and acting on it slows teams down, particularly those managing links and campaigns across multiple channels.
Ania Cotton, SEO and Data Analytics Manager at Americas' SAP Users' Group, tested Bitly Assist early. "What used to take 10 to 15 minutes of digging through dashboards now takes seconds," she said. "Follow-up prompts also surface insights we might not have uncovered on our own."
Broader AI Integration Strategy
These launches extend Bitly's existing AI work. The company has integrated with ChatGPT, Claude, Perplexity, and Microsoft Copilot. Bitly also built a Model Context Protocol server that brings its functionality directly into tools marketers already use.
Bitly serves 5.7 million monthly active users and 600,000 paying customers across 190 countries. The company positions these tools to reduce friction between data discovery and execution-a core challenge for teams managing digital connections at scale.
Kelsey Stevenson, Bitly's Chief Product Officer, said the features were built to fit into existing workflows. "There's no friction between having data and acting on it," she said.
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