Use your own social media history to discover what actually works for you.
Generic social media advice cannot know your audience, your content history or your commercial results. AI.IQ is built to make those signals usable by importing data you already own or can export from your platforms.
Open AI.IQ →Social content data
AI.IQ can work with exported fields such as views, reach, impressions, likes, comments, shares, saves, watch time, followers gained, clicks, leads, conversions and revenue when those fields are present. It normalises different column names into a common analysis layer.
Automatic data-type classification
Before ranking anything, AI.IQ first identifies what the export represents. Post, Reel, Short, video and ad-creative performance can feed the winners leaderboard. Audience or demographic breakdowns — including job titles, seniority, industry, company size, age, gender and location — are routed to Audience Insights instead. Search Console, Keyword Planner and descriptive datasets are kept out of content-winner rankings so unlike data is not compared as if it were the same thing.
Advertising and commercial data
Paid-media exports can add spend, CTR, CPC, CPA, conversions, revenue and ROAS. Website, ecommerce or CRM exports can add downstream outcomes. The system keeps the source visible so a strong reach signal is not confused with a strong sales signal.
Google search demand
Google Keyword Planner and Search Console exports help connect what your audience searches for with what performs on social media. Search demand does not guarantee social performance, but it can identify themes and questions worth testing.
Evidence before certainty
AI.IQ is a decision-support tool. It can identify correlations and repeatable patterns in imported data, but it should not present small or incomplete datasets as proof of causation. Users should test important conclusions with new content and controlled comparisons.