Systems | Development | Analytics | API | Testing

Why Do AI Tools Give Different Numbers for the Same Question?

You can ask two AI tools the same question about your data and get different answers, even when both have access to the same system. There are several reasons this can happen. Each one might run a different model, or have a different set of tools available. The data you thought was the same might not actually be the same. Or one tool might have more context about my account than the other. I want to focus on what happens after I rule those things out: each tool still has to decide what my question means.

How to Do Organic Social Media Reporting Across Every Platform Without Blending Vanity Metrics

Organic social reporting collapses into vanity metrics whenever the reporter runs out of time to dive deeper, which is most of the time. Follower counts get compared because they’re comparable at a glance. Engagement rates get quoted because they sound comparable, even though each platform calculates them differently.

New: Turn conversations with your AI Analyst into a polished report

Getting an answer from your data has never been faster. Turning that answer into something you can share still takes hours. Genie, our AI Analyst, made it possible for anyone to answer questions about performance. Ask “Why did conversions drop last month?” or “Which marketing channels drove the most pipeline?” and you’ll get a clear answer in seconds, with the charts to back it up. But some answers are worth more than a reply in a chat.