LinkedIn says its recent efforts have reduced views of content classified as AI slop by 40%. The company attributes this progress to several changes working together, including the new “Seems Like AI Slop” feedback option, improved AI-slop classifiers, stronger defenses against automated activity, and changes to its AI writing tools.
The 40% figure does not mean that LinkedIn has blocked all AI-generated content. Instead, LinkedIn is working to limit the distribution of content it classifies as AI slop, particularly content that is generic, repetitive, or lacks a clear point of view. The changes below explain how LinkedIn is using member feedback, detection systems and content tools to reduce the visibility of this type of content.
LinkedIn Introduces “Seems Like AI Slop”
One of LinkedIn's new changes is the “Seems Like AI Slop” feedback option. Introduced in August, it allows members to flag posts and comments they think are low-quality, generic or inauthentic.
According to LinkedIn, more than 1 million members used the feature in the first two weeks after its launch. Members can find the option by clicking the three-dot menu on a post or comment and selecting “Seems like AI slop.” This feedback helps LinkedIn improve its content-quality systems and understand what members see as low-value content. LinkedIn says AI slop is not simply content created using AI. It refers to content that is low-effort, generic or repetitive and may not have a clear point of view, unique perspective or useful information.
This means LinkedIn is not saying that using AI is automatically a problem. Sure artificial intelligence can help with proofreading, clarifying ideas, polishing language, but the voice, experience, perspective and expertise of the creator are still important.
AI can correct the grammar in a post regarding a campaign that they took part in without changing their ideas and experiences. That can lead to a lot of posts that are similar to one another and there is not a lot of original content, resulting in repetitive posts or low value content.
The guidance in LinkedIn's focus is not about generating content using AI, it's about creating the quality and value of the content. Getting “Seems like AI slop” feedback also does not automatically mean that LinkedIn removed the post or found a policy violation. The feedback helps LinkedIn understand how members view the content.
LinkedIn Updates Its AI Tools and Detection Systems
LinkedIn is making changes to both its AI writing tools and its systems for detecting low-quality content. The platform says it is replacing the “Enhance your post” feature with tools focused on proofreading and improving clarity without changing the member's voice. This allows users to get AI assistance while keeping their original ideas and writing style.
At the same time, LinkedIn has expanded its backend AI-slop classifiers to identify content that it considers generic, repetitive or low quality. These systems work together with member feedback to help LinkedIn identify content that may not provide enough value to members.
Together, these changes are part of LinkedIn's broader effort to reduce the visibility of AI-slop content. The company says its recent efforts have resulted in a 40% reduction in views of content it classifies as AI slop.
The update does not mean LinkedIn is removing the use of AI from content creation. Instead, the platform is making it easier to use AI for editing and improving content while using its detection systems to limit the distribution of content that it considers low quality.
More Automated Comments Are Being Blocked
LinkedIn's update also focuses on automated activity in comments.
The company says it is now catching hundreds of thousands of automated comments attempts every day and has blocked billions of automated activities in recent months. These efforts are aimed at reducing automated posting and keeping conversations more genuine.
LinkedIn had previously said that automated comments created using scripts, browser extensions or third-party tools are not allowed because they can reduce the value of conversations on the platform.
How LinkedIn Content Reaches More People
LinkedIn's guidance does not say that every AI-generated post will be blocked. However, content with useful information and the creator's own perspective, experience and expertise can still be published with the assistance of AI.
Content can include personal experiences, professional insights, original observations, useful examples, industry information and opinions based on the creator's knowledge. AI can then be used as a supporting tool to improve grammar, structure or clarity before the post is published.
LinkedIn says its Feed uses hundreds of signals to decide what content appears for each member. These signals include the context of the post, such as whether it provides a helpful insight, as well as information from the member's profile, network and activity. The Feed is personalized based on these signals.
This means posts that provide some value to its readers such as useful information, professional knowledge, real life experiences, new ideas or relevant industry news can be beneficial to the audience. Promotional or content that lacks value will not be of much use to readers.
Generic, repetitive, recycled or lacking a point of view content is less likely to be widely shared. LinkedIn makes this distinction when explaining how it handles AI-assisted content.
This underlines the importance of social media marketing to focus on producing unique, valuable and audience-centric content and not depend on automated or repetitive content created by AI. Marketers may want to look at AI as a supporting tool, but human input, real experience, and authentic insights should be front and center of their LinkedIn content strategy.
What to Watch Next
LinkedIn may make further changes to how it measures content quality and handles automated activity on the platform.
The “Seems like AI slop” feature does not automatically remove content. If a post receives enough feedback, LinkedIn may show the creator a tip in Post analytics to help them understand how members viewed the content. This gives creators a chance to review their posts and improve future content. Many factors are taken into account when determining distribution of content on LinkedIn.
The main takeaway is that LinkedIn is trying to strike the right balance between AI-generated and professional content, as the use of AI becomes more prevalent.