From your real results to your next better piece of social content.
AI.IQ is designed around a simple loop: import evidence, identify repeatable winners, turn those patterns into new content, test the new content, then add the results back into the system.
Open AI.IQ →1. Import your evidence
Organic social
Bring in exported post, Reel, Short or video performance data from the platforms you use.
Paid and search
Combine ad exports, Google Keyword Planner, Search Console, analytics or sales data when those sources are useful to the decision.
2. Find the repeatable pattern
AI.IQ compares the metrics that are available in your imports and surfaces patterns such as strong hooks, formats, topics, platforms, lengths, engagement signals, traffic or commercial outcomes. Small datasets are treated as weaker evidence than repeated results.
3. Systemise and test
Winning patterns become new hooks, scripts, platform versions and controlled experiments. The goal is not to copy one old winner forever; it is to preserve what appears to matter and test the next variation deliberately.
4. Repeat with new results
When new content has real performance data, add those results back into AI.IQ. The performance memory becomes more useful as the history becomes broader and more representative.