LinkedIn is offering a new set of best-practice recommendations to help creators prepare their content for the realities of AI-powered discovery and summarization, as generative tools increasingly surface professional posts and profiles. The guidance reflects LinkedIn’s effort to make content more readable for chatbots and AI platforms that parse, summarize and recommend material to users both on and off the network.
In an elaborate seventeen-pages long outline, LinkedIn broke the silence with this infographic:
The advice centers on clear formatting, meaningful language and structured delivery so AI tools can better interpret and repurpose content. LinkedIn encourages the use of descriptive headings, bullet lists and concise summaries, along with a direct and accessible writing style and the natural placement of relevant keywords.
In their own terms:
Search has fundamentally changed. The days of writing just for Google and hoping keywords do the heavy lifting are over. Brands must create content that is not only optimized for traditional search engines but also structured, credible, and context-rich enough for AI systems to trust and surface. If your brand isn’t appearing in AI-generated answers, you’re losing pipeline before it even begins… Optimizing for LLMs is a complement to—not a replacement for—strong SEO fundamentals that will continue to drive results on Google.
According to LinkedIn, these practices are meant not only to improve human readability, but also to help AI chatbots accurately extract key points when generating responses, summaries or recommendations.
The Microsoft-owned professional social media platform also urges authors to build clear internal structure into their writing, such as explicit takeaways, defined sections and properly referenced sources where appropriate. According to the platform, content with well-organized and easily identifiable ideas allows AI systems to assess relevance and reliability more effectively, which can influence how posts appear in feeds, search results and AI-generated answers. In the guide, they highlight the following key pointers for good content for AI:
- Write at a Grade 9–11 reading level for simplicity and professionalism.
- Use short, direct sentences under 20 words each. Avoid creative language—stick to facts.
- Assume content will be used out of context; make each section standalone
Explaining the new AI-centric content strategy, Brooke Weller, an AI Search Strategist at LinkedIn said:
If user prompts dictate what and how LLMs pull into the conversation, then content writers need to think about what people are asking in these conversations. We often see people asking the GPTs for ‘the most recent’ research which should help inform your content’s revisions. Don’t just update the timestamp; refresh the content itself to ensure it’s truly current before changing the date.
LinkedIn’s push reflects a broader shift in how creators and brands think about discoverability in an AI-driven internet. Like they say in the guide:
Teams that make these adjustments now will be better positioned as this new model becomes standard. We’ve applied the same approach to our own web properties and are already seeing consistent gains, including month‑over‑month increases in brand mentions and citations.
There’s a ton of information packed in here, offering a lot more depth and nuance for each note. While a significant part of LinkedIn’s success comes from its presence and the diverse professional contributors sharing genuine insights, the tips provided here can really help you strategize for optimizing AI chatbots.
