2026 Social Media Algorithm Playbook for Facebook, Instagram, LinkedIn & X
Updated May 2026
How Facebook’s Algorithm Works
Facebook’s algorithm uses AI to rank content by relevance each time a user refreshes.
Content is split between:
Connected content (friends, pages you follow)
Recommended content (suggested by Facebook)
Ranking steps:
Inventory – All possible content (what’s available at the time)
Signals – Who posted, content type, keywords
Predictions – Likelihood of engagement
Score – Assigned and sorted by interest
The algorithm prioritises:
Original content – Meta has explicitly stated (March 2026) that content filmed or produced directly by the page owner is prioritised in feed and reels. Views and watch time for original reels approximately doubled in the second half of 2025 versus the same period in 2024.
Meaningful interactions and conversations.
Posts that generate shares and saves, which indicates strong audience interest.
Content that keeps users on the platform longer (watch/ dwell time).
Facebook Do’s
Prioritise original, value-led content.
Optimise for shares and saves, which carry the strongest engagement signals.
Create content tailored for mobile viewing.
Be selective with your use of links, consider leaving a link in the comments instead.
Improve post relevancy by using keywords (Social Listening can be leveraged here).
Encourage conversations with your content. Ask questions and develop interactive posts.
Integrate Reels into your content strategy. Original Reels receive boosted distribution.
Maintain a diverse content mix.
Facebook Don’ts
Repost watermarked videos from other platforms. This is flagged as unoriginal and will be deprioritised.
Post low-quality or repetitive content.
Overuse outbound links. The algorithm suppresses posts that drive users away from Facebook.
Use misleading captions or clickbait.
Note: From November 2025, Facebook replaced 'impressions' with 'views' across the Page Insights API and Meta Business Suite. If your team is tracking performance via third-party tools or API-connected dashboards, ensure your reporting reflects this updated metric terminology — any reference to 'impressions' in older reports or templates will need to be updated to 'views'.
How Instagram’s Algorithm Works
Instagram does not use a single algorithm. Each part of the app — Feed, Stories, Reels, and Explore — has its own dedicated ranking system based on how users interact with that surface. The platform continuously makes minor tweaks, while larger updates are less frequent and officially announced. Instagram's stated goal is to deliver the most relevant and interesting content to each user in order to increase time in-app.
Content is split between:
Connected content (profiles you follow)
Recommended content (suggested by Instagram)
How content is ranked:
Instagram’s algorithm analyses content in four stages:
Gather posts – Instagram fetches all available posts from followed accounts, filtering out any that violate Community Guidelines.
Evaluate ranking signals – A selection of approximately 500 posts is scored for relevance to that user.
Predict value – Machine learning models predict which posts are most valuable to each individual user.
Rank content – Posts are scored and ordered to determine their position in the user’s feed.
Each section then applies its own ranking signals:
Feed: Based on your activity (likes, comments, shares, saves) + post and poster info
Stories: Based on stories you've viewed or engaged with
Explore: Based on your Explore activity + post and poster info
Reels: Based on your Reels activity, watch time + Reel and poster info
Overall, the algorithms prioritise:
Watch time, likes, and sends (DMs) -- confirmed by Adam Mosseri (Head of Instagram) as the top three ranking signals.
Connected vs unconnected reach: likes matter more for connected reach (current followers), sends/ shares matter more for reaching new audiences.
Entertainment, connection, and content that keeps users on the app.
Original content and Reels.
Instagram Do’s (From Instagram themselves)
Play to your audience and their niche.
Post in popular formats, such as reels.
Tag a location to improve local and contextual discoverability.
Invite engagement. Ask questions and prompt your audience to respond.
Engage with your audience shortly after posting to accelerate early ranking.
Create original content tailored specifically to Instagram.
Use strong hooks in the first 1-3 seconds of video content.
Optimise content for silent viewing by adding captions.
Instagram Don’ts (From Instagram themselves)
Post back-to-back posts- This will detract from your post ranking.
Don't spread misinformation.
Rely on Hashtags for engagement. Keywords in captions are now more effective for discovery.
Break Instagram’s Community Guidelines.
Re-post content. Instagram says they’re “less likely to recommend reposts of a reel that's already on Instagram, content with noticeable watermarks or accounts that regularly collect and reshare others' content on their feed.”
Ignore audience interaction.
Use misleading engagement bait.
Insights from Head of Instagram (Adam Mosseri, April 2025)
Instagram doesn’t use one single algorithm. Feed, Reels, Stories, and Explore all rank content differently.
Shares and sends (especially via DMs) are some of Instagram’s strongest ranking signals because they indicate genuine interest and connection.
Instagram increasingly recommends content from accounts users don’t follow, meaning reach is now driven more by content performance than follower count.
Watch time matters, but Instagram looks at multiple signals together, including engagement, shares, and whether people continue interacting after viewing.
There are no permanent “growth hacks” — the algorithm constantly evolves alongside user behaviour.
Tips
Prioritise high-quality, shareable content across Feed and Reels.
Remember to keep your content authentic, and relevant as Instagram continues to prioritise genuine connection.
Improve post relevancy by using keywords (Social Listening can be leveraged here).
Optimise content for silent viewing with captions.
Test hooks, formats, and posting times regularly.
How LinkedIn’s Algorithm Works
LinkedIn’s algorithm is designed to keep users engaged, rewarding content that drives interaction and keeps people on the platform.
In late 2024, LinkedIn replaced its content ranking system with an AI model called 360Brew, which evaluates meaning, expertise, and relevance rather than simply counting likes and hashtags. The rollout continued into 2026 and is a primary reason many accounts have seen reach decline. The platform now rewards quality and expertise over posting volume.
How content is ranked:
Quality Check: Posts are instantly assessed and tagged as spam, low quality, or high quality.
Engagement Test: A small portion of your audience sees the post as a mini engagement test. If it performs well in the first hour, it’s shared more broadly to second- and third-degree connections.
Relevance Ranking: LinkedIn prioritises posts from people and topics that a user engages with the most.
The algorithms prioritises:
LinkedIn’s team has confirmed three core ranking signals:
Relevance – how closely your post matches a defined audience’s interests
Expertise – whether you demonstrate genuine subject matter knowledge
Engagement – whether your post sparks meaningful comments from people who are about the topic
Beyond those, the algorithm also weighs:
Dwell time – how long users pause on a post before scrolling past
Early engagement – strong performance in the first 60 minutes
Saves – under 360Brew, a save drives roughly 5x more reach than a like and 2x more than a comment, indicating lasting value
Invisible interactions – clicks, carousels swipes, and video views count as engagement signals even though they don’t appear publicly
Your profile credibility – 360Brew reads your profile as a credibility signal; your headline appears on every post, so it functions as a trust indicator for users deciding whether to engage
LinkedIn Do’s
Engage actively with other accounts (commenting on relevant posts increases your page’s reach).
Add native documents into your content strategy. PDF carousels earn nearly 3x more engagement than video and 6x more than text-only posts.
Experiment on videos. LinkedIn has made a stronger push toward video content in 2025 and 2026.
Tag brands and users in your posts- Tagging companies or employees is a good way to boost reach.
Share original expertise and insights, as well as industry perspectives.
Optimise for readability.
Aim to generate strong engagement within the first hour of posting.
LinkedIn Don’ts
Post more than once in 12 hours (This could be counted as “spam behaviour”)
Tag irrelevant, or over 5 brands or users in your posts.
Over-use hashtags (3 Max) (This has been noted by LinkedIn themselves within their 2025 algorithm report).
Post external links in the body of a post without value-added content.
Use engagement bait tactics.
Ignore comments on your posts.
X (formerly Twitter)
How X’s Algorithm Works
The X (formerly Twitter) algorithm operates through three key stages to determine what content appears in users' feeds:
Sourcing potential posts
Ranking them based on relevance
Filtering the results for quality and personalisation
X operates three distinct feeds:
For You (default) - algorithmically curated, mixing followed and recommended accounts.
Following – reverse-chronological posts from accounts the user follows.
Explore – aggregates trending topics, news, sports, and entertainment; integrated with Grok AI summaries as of 2025
Content is pulled from two main sources:
In-Network (accounts the user follows)
Out-of-Network (accounts the user doesn’t follow)
In-Network posts are ranked by predicted engagement, while Out-of-Network content is selected based on engagement patterns and similarity to posts the user already interacts with. Brands that manage to rank highly in the Out-of-Network category often see significant reach gains and new follower growth.
Users can also manually adjust their feed preferences, which feeds into the algorithm’s machine learning model to create a more personalised experience.
Key ranking signals:
Engagement
The algorithm assigns specific multipliers:
Reposts (retweets): ~20x the value of a Like
Replies: 10.x the value of a Like
Bookmarks: 10x the value of a Like (often the “silent like”)
Likes: 1x baseline
X Premium
X Premium subscribers receive 10x median reach compared to non-Premium accounts. Premium users’ replies are also algorithmically prioritised to appear at the top of conversation threads, making verification a significant visibility multiplier.
Recency
Post lose approximately half their potential visibility score every six hours.
External Links
The algorithm actively penalises posts containing outbound links, with a reduction of 50-90 % (confirmed by Elon Musk).
X Do’s
Post at times when your audience is most active. Recency and early engagement are critical.
Encourage replies, likes, and reposts within the first hour to boost ranking.
Diversify your content- The algorithm favours rich media (images, GIFs, videos, polls) over plain text.
Post regularly to maintain visibility in both In-Network and Out-of-Network feeds.
Include relevant words and hashtags that align with trending topics and your audience’s interests.
Build threads for longer content to keep users on-platform rather than linking out.
X Don’ts
Don’t Rely on Just Hashtags. The algorithm looks at engagement and user interest more than just hashtag use.
Over-post. Posting too frequently or repeating content can trigger filtering or decrease reach, especially Out-of-Network.
Use Engagement Bait- Phrases like “Like if you agree” or “Retweet this!”.
Place outbound links in the body of posts.
Post and disappear. The first 60 minutes after posting are critical for engagement-driven distribution.