We’re going to give you a cake, but don’t even think about eating it.
The platform is pulling in two directions: Restricting AI-generated content that lacks a human perspective while building AI writing tools directly into its composer.
Global Editorial VP Laura Lorenzetti says: “When AI is overused, especially at scale, it dilutes the valuable insights that real human conversations can spark.” Hm…
This means AI-heavy LinkedIn content will reach fewer people, so your organic strategy needs a real human voice behind it, or it won’t travel.
AI loves LinkedIn, however: According to a Meltwater study of 9.5M citations, LinkedIn is the second-most-cited domain among major AI chatbots, particularly for B2B queries.
So, when a potential customer asks a chatbot about your industry, there’s a real chance LinkedIn content shows up in the answer. Yours could be one of them.
What gets cited:
- Expert-led individual posts over company page updates.
- Articles and plain text (83% of all citations).
- Clear headings, numbered lists, and specific data points.
Push your internal experts to post. Structure everything with headers and bullets. Generic brand content won’t get cited.
Follow the paper trail: LinkedIn has added post-bid measurement for Audience Network campaigns through DoubleVerify.
Meaning, after your ads run, you get independent reporting on viewability, brand safety, fake clicks, and whether your ads actually showed up in the right places.
LinkedIn already filters placements before bids. Now it checks the receipts after.
If you’re spending outside the core feed, that means you can see exactly where your budget went and cut anything that isn’t pulling its weight.
