Get a diagnostic of what's working and what to change on any LinkedIn company page, with a prioritized action plan based on engagement and comment data.
Give the flow a company's LinkedIn URL. It returns a diagnostic report separating comment quality from reaction counts, with format-by-format performance data and a prioritized action plan.
The audit examines five areas. Content performance: which posts over- and underperform the page's average, with patterns in topic, format, and timing that explain the variance. Engagement quality: the ratio of comments to reactions, and what that reveals. A post with 200 likes and zero comments signals passive consumption. A post with 40 likes and 25 comments signals active interest. The audit distinguishes between the two. Comment sentiment: what people actually say in responses, organized by theme, including questions the brand doesn't answer, requests for content the brand doesn't create, and complaints or praise that reveal audience priorities. Posting consistency: frequency patterns, gaps, and whether cadence correlates with engagement trends. Format usage: which formats the page uses and which it doesn't, compared to what drives engagement for similar company sizes and industries. The report ends with a prioritized action plan ranked by expected impact.
Reactions on LinkedIn are low-effort signals. A like takes one click and often comes from a scroll-through, not genuine engagement. Comments take time and thought, especially on a professional platform where responses are attached to a person's real identity and visible to their network. A company page with high comment rates is generating conversation. A page with high reaction counts and low comments is generating impressions without engagement. The audit separates these signals because they point to different content strategies: reaction-heavy pages need to provoke more discussion, while comment-heavy pages are already earning attention and may need to convert that into action.
When the team already knows the engagement numbers and wants deeper insight into what the audience is actually saying. This prompt prioritizes comment analysis: recurring themes, questions, complaints, praise, and content requests hidden in reply threads.
After the audit identifies what's working and what needs to change, this prompt turns the findings into a specific action plan with weekly priorities, content adjustments, and format experiments to test.
The audit shows how the page performs against its own history. This prompt adds external context: how the page compares to 2-3 competitors on the same metrics, and where the biggest gaps are.
