Last mentioned: Mar 17, 2026
While The Trade Desk remains the premier independent demand-side platform, a growing number of advertisers are exploring alternatives from Amazon and Google. This strategic shift is driven by a desire for cost efficiencies and direct access to proprietary retail and search data sets.
The Trade Desk and AppLovin represent two distinct but dominant approaches to AI-driven advertising, with TTD focusing on the open internet and CTV while AppLovin dominates mobile app ecosystems. As both companies integrate advanced machine learning models like Kokai and AXON 2.0, investors are weighing TTD’s recent price correction against AppLovin’s explosive growth momentum.
This page surfaces every story mentioning Kokai across our marketing coverage. We track each entity's appearance over time so readers can trace how the narrative evolves — which developments are isolated incidents, which build into longer arcs, and which reframe how operators in the space think about the entity. Story selection uses the same multi-source verification gate applied across the rest of our coverage.
Read our editorial methodology for how we identify, deduplicate, and score entity references. Our glossary defines the technical terms used across stories on this page, and our trends index contextualizes individual developments against the longer-running marketing beat. Cross-entity comparisons live on our compare view.
| What you see | What it tells you |
|---|---|
| Story count | Number of distinct stories where Kokai was a primary or referenced actor. |
| Recency clustering | Whether mentions are concentrated in a recent window (a news cycle) or distributed (a sustained arc). |
| Sentiment distribution | Aggregate sentiment of the stories mentioning this entity, weighted by impact score. |
| Cross-niche links | When the same entity surfaces in our sibling networks, we link to those views to enrich context. |