X ranks its For You feed with a Grok-based model and published its code in 2026. How the feed is built, why replies matter more than likes, what negative signals cost, and how to diagnose a drop.
Facebook ranks Feed in four stages and splits it between connected and recommended content. The 2026 originality rules, what Meta demotes, links, and how to diagnose a drop in reach.
Facebook Algorithm 2026: How Feed Ranking Works and Why Original Content Wins Read More »
LinkedIn rebuilt its feed in 2026 with LLM-based retrieval and a new ranking model. What it confirmed, how dwell time and expertise fit in, what is myth, and how to diagnose a drop in reach.
TikTok ranks For You videos on interactions, and finishing a longer video is the strongest signal it has named. Follower count is not a direct factor. What changed in the US in 2026 and how to diagnose a drop.
TikTok Algorithm 2026: How Watch Time and the First Two Seconds Decide Your Reach Read More »
The Instagram algorithm in 2026 has narrowed its distribution signals down to three high-weight metrics: Reels engagement, post saves, and DM shares. Likes, follower count, and posting frequency now carry lower weight than at any point since Instagram launched. Instagram’s 2026 Algorithm Explained: Four Surfaces, Four Models Instagram does not run a single algorithm. It
Instagram Algorithm 2026: Why Reels, Saves, and DMs Are the Only Metrics That Matter Read More »
The Pinterest algorithm in 2026 ranks pins using a four-pillar scoring model: keyword relevance, save and click engagement, pin freshness, and seasonal demand alignment. Unlike Instagram or TikTok, Pinterest behaves as a visual search engine, which means SEO compounds for months and years instead of dying within hours. Across my recovery work covered in the
The YouTube algorithm in 2026 ranks videos using a layered scoring system that weighs click-through rate, watch time, average view duration, session duration, and viewer satisfaction signals. CTR alone earns the first chance at impressions. Watch time and absolute retention determine whether those impressions scale into recommended distribution. After auditing content distribution across hundreds of