Instagram extended its Your Algorithm topic controls to the main Feed on June 11, 2026, completing a rollout that had started with Reels last December and later reached Explore. Users can now view the topic list Instagram inferred from their activity, remove topics they do not want shaping recommendations, and add topics they want to see more often.
The change matters because recommended posts from accounts users do not follow now account for a growing portion of the main Feed experience. Instagram is no longer a social graph first. It is an interest graph that also happens to surface content from followed accounts.
Instagram head Adam Mosseri framed the update as a response to a structural problem in recommendation systems. “The system learns from what you tap, watch, and share, but you don’t really get to tell it what you want,” he wrote. The platform is using large language models to translate content clusters into plain-language topic labels, which gives users a vocabulary to push back against the algorithm’s inferences rather than passively accepting them.
Gary Vaynerchuk has described this broader shift as the transition from social media to “interest media”: platforms that sort content by engagement with a subject rather than by the relationship between a creator and a follower. Instagram’s update makes that logic visible for the first time. Users can see which topic clusters the system has assigned to them and correct the ones that are wrong.
For brands, the signal implications are direct. A brand’s organic reach on Instagram Feed, Reels, and Explore now depends on whether the platform can confidently assign a topic cluster to its content. Posts that span multiple unrelated subjects, or that carry heavy promotional framing without a clear thematic anchor, are harder for the system to classify. Content that lands cleanly inside a recognizable topic category is more likely to surface to users who have added or kept that topic in their preference list. Audience development strategies built around follower counts are now secondary to content that earns strong engagement signals from the interests the brand actually serves.
The update also creates a new risk for brands that have built reach through broad, varied content calendars. If users start actively removing topics from their feeds because those topics feel noisy or misaligned with their interests, content in those categories will reach fewer people regardless of follower size. Clear topical focus is now both a discoverability asset and a retention factor.
Mosseri said topics are the first of several planned controls. Instagram is developing additional levers covering people, moods, and content types. Each new control layer will add precision to the system’s interest model and narrow the window for content that cannot be clearly categorized.
The announcement does not include data on how topic preferences affect reach metrics, impression distribution, or the ranking weight assigned to interest-match signals relative to engagement signals. That measurement gap will matter for teams trying to attribute Feed performance changes to the new controls.
Search teams that manage social content alongside organic search should treat this update as a topical-authority signal outside of Google: the same discipline that improves E-E-A-T coherence in a content strategy will improve Instagram’s ability to classify and distribute that content to the right interest groups. Brands without a clear topical lane should audit their Instagram content calendars before the planned control expansions make misclassification more costly.
Search Engine Land reported Instagram’s Your Algorithm expansion to the main Feed on June 11, 2026, in an article by Danny Goodwin.
