Competitive research that couldn't scale by hand.
Seekho operates across hundreds of content categories, and every category is crowded with competitors. Keeping track of what's working — which ads, which hooks, which formats — meant watching competitor creative by hand. It was slow, and at that breadth, insights kept slipping through.
Building that intelligence in-house wasn't simple either. Analyzing thousands of videos a day takes serious CPU and heavy parallel processing — expensive to stand up and harder still to keep running reliably.
The research layer under the creative.
We run competitor intelligence for Seekho the same way we run production — as a service that just arrives. They wake up to a ranked, tagged library of everything the market shipped yesterday.
Insight ready before the day starts.
Thousands of competitor videos across every category are analyzed overnight — before the team even wakes up. Instead of hunting for creative, the team browses a ranked, tagged library, asks for the best-performing ads in a category, and briefs straight off the evidence.
The time saved runs to thousands of hours across categories. And because everything runs as batch processing, token and scraping costs come in about 50% lower than an equivalent in-house build — without the CPU and parallelization headaches.