TikTok is testing its chatbot, Tako, in select markets; from the right side of the app, the bot helps users discover new content and ask questions about a video
Context & Ripple Effects
TikTok has spent years bolting new surfaces onto the For You feed — a Learn tab for how-to content in 2020, a Talent Manager Portal for creator agencies earlier this year — and its search ambitions are already explicit: researchers found an in-app option to run the same query on Google, a sign TikTok sees itself competing in search rather than just feeding videos.
Tako extends that arc from ranked feeds to conversation: a chatbot on the right side of the app that answers questions about a specific video and suggests what to watch next. It matters because it gives TikTok a query-driven discovery layer it fully controls, at the same moment its search feature is testing handoffs to Google.
First-order effects
- Users in test markets get a new right-side control for content discovery — asking Tako about a video instead of scrolling or searching — and TikTok gets a direct stream of user queries about what people want to see.
- Tako sits inside TikTok's own interface, so questions about a video no longer need to leave the app, in contrast to the Google handoff TikTok is testing in search.
Second-order effects
- If Tako proves it can answer 'what should I watch' better than the feed alone, TikTok's in-app search becomes a genuine rival surface, pressuring the Google integration experiment and any revenue tied to routing queries off-platform.
- A conversational layer changes how creators compete for discovery: videos that Tako can confidently summarize and recommend gain a new distribution path alongside the algorithmic feed, on top of the brand-side tooling TikTok has been building for agencies and recruiters.
Third-order effects
- The pattern points toward assistants becoming a standard discovery layer in social apps — TikTok's later plan to let users tune how much AI-generated content fills their feed suggests the company expects AI to be pervasive enough that users will demand control over it.
- If chat-driven discovery holds, recommendation systems evolve from a single opaque feed into a hybrid of algorithm and dialogue, raising the same labeling and transparency questions TikTok's AI-content controls are already grappling with.
The trend: Social platforms are layering conversational AI assistants on top of algorithmic feeds, turning content discovery from passive scrolling into a query-driven dialogue the platform itself controls.