How Datafiniti uses Documentation.AI to improve API docs with AI and analytics
With Documentation.AI, the Datafiniti team can now offer Ask AI inside the docs, understand what users are asking, identify documentation gaps, and improve their API and product documentation more regularly with AI
“Documentation.AI helps us see what users are actually asking inside our docs, so we can identify gaps and improve our documentation more regularly.”
Company
Datafiniti
Datafiniti moved from ReadMe to Documentation.AI to create a more AI-native documentation experience for its customers and developers.
What changed
Before Documentation.AI, Datafiniti had documentation published on ReadMe, but the team had limited visibility into how users were interacting with the docs.
After moving to Documentation.AI, Datafiniti gained:
AI-powered search and Ask AI inside the documentation
Better visibility into user questions and documentation gaps
Analytics to understand reader intent and improve content
A modern documentation experience for product guides and API references
Similar advanced documentation capabilities at a much better value than ReadMe
About Datafiniti
Datafiniti is a data API platform that provides structured property, people, product, and business data. Their documentation is used by customers and developers to understand product guides, API References, and integration details.
Before Documentation.AI
Before Documentation.AI, Datafiniti was using ReadMe. While it helped them publish docs, the team wanted a faster platform with stronger AI native capabilities and better visibility into how users were engaging with the documentation.
Datafiniti moved to Documentation.AI for three main reasons:
AI inside the docs
They wanted AI-native features like Ask AI and embedded AI support, so users could ask questions directly inside the documentation instead of manually searching across pages.
Better documentation analytics
The team wanted to understand what readers were asking, where users were getting stuck, and which documentation gaps needed to be fixed. With Documentation.AI analytics, Datafiniti can now use real user questions to improve their docs regularly.
Better value than ReadMe
Datafiniti was looking for similar advanced documentation features in ReadMe, but the cost would have been at least 4x higher. Documentation.AI gave them the AI features, analytics, and modern docs experience they needed at a more efficient price.
Today, Datafiniti uses Documentation.AI for both product guides and API documentation. The team can better understand reader intent, identify gaps, and improve documentation continuously.
Result
With Documentation.AI, Datafiniti turned its documentation into a feedback loop. Instead of only publishing static docs, the team can now learn from user questions, improve content faster, and give customers a better API documentation experience.