Run a LinkedIn company page audit in minutes: paste a company URL, get a LinkedIn audit that separates comment quality from reaction data, with a ranked action plan.
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.
Use this prompt when you already have the engagement metrics and want to go deeper into what the audience actually says. Paste the LinkedIn page URL and Juma returns an organized breakdown of comment themes across recent posts. It is the most useful step when engagement numbers look healthy but the team suspects the content is not genuinely resonating.
The comment analysis organizes reply thread data into three categories:
Each category includes specific examples from recent posts, so the content team has a direct brief for what to create or change next.
After the audit identifies what is working and what needs to change, use this prompt to convert the findings into a specific 30-day action plan. Juma organizes the recommended changes by expected impact on engagement quality, so the highest-value improvements come first. Every item maps directly to a finding from the audit — nothing in the plan is a generic best practice.
The 30-day plan is structured in three phases:
Each action includes a rationale explaining which audit finding it addresses, making the plan easy to present to a client or hand off to a content team.
Use this prompt to add external context to the audit. Point Juma at two or three competitor LinkedIn pages alongside the client URL and it compares performance on the same five metrics. The comparison shows where the client page leads, where it lags, and what specific tactics competitors use that the client does not.
The benchmark covers:
The output is a competitive gap brief, not just a data comparison — it tells you which gaps are worth closing and what specific actions would close them.
LinkedIn page audits are not one-time projects. Agencies revisit them after rebrands, posting strategy shifts, or whenever a client's engagement starts moving in the wrong direction. Without a shared project, each new audit session means re-explaining what was flagged last time, which competitors to benchmark against, and what the page is actually trying to achieve. A Juma Project stores that foundation once. Set it up and every audit, comment analysis, and 30-day action plan the team builds after that starts from where the last review left off.
Add a short description to each knowledge item in the project's info field so Juma knows what each file contains and when to use it. For example:
This Flow reduces a LinkedIn company page audit from 2–4 hours to minutes. A full manual audit — covering post performance, comment sentiment, format patterns, and posting consistency — requires LinkedIn analytics access, a tracking spreadsheet, and time to read through comment threads post by post. This Flow returns the same diagnostic scope in a single session.
Most agency teams run LinkedIn page reviews quarterly, which means the time cost multiplies across every client in the portfolio. Between pulling screenshots, organizing engagement data by format, and noting comment themes, the manual process is slow and inconsistent across team members. Findings rarely consolidate into a single action plan.
This Flow standardizes the output. You get the same five-area diagnostic every time, with a ranked action plan that tells you which changes will have the most impact. That consistency makes the output easier to present to clients and faster to act on across reporting cycles.
A LinkedIn company page audit covers five areas: content performance (which posts over- and underperform the page average and why), engagement quality (comment-to-reaction ratio), comment sentiment (recurring themes in reply threads), posting consistency (frequency patterns and gaps), and format usage (which formats the page underuses compared to what works for similar pages and industries).
Each area produces specific findings before the Flow synthesizes them into a prioritized action plan. Content performance identifies patterns in topic, format, and timing that explain why some posts outperform others. Engagement quality distinguishes between audiences that engage actively through comments versus passively through reactions alone.
Comment sentiment is the most distinctive part of the audit. It organizes what people say in reply threads by theme — questions the brand does not answer, content the audience explicitly requests, and patterns of praise or complaint. The final action plan ranks changes by expected impact, not effort, so the highest-value fixes appear first.
Comments and reactions measure different things on LinkedIn. A reaction takes one click and often signals passive consumption. A comment takes time on a platform where every reply is attached to a person's real identity and visible to their professional network. Separating these signals tells you whether a page needs to provoke more discussion or convert existing engagement into action.
A page with high reaction counts and low comments is generating impressions without conversation. That pattern points to a specific fix: content that invites a response — questions, strong opinions, or posts that ask the audience to weigh in directly. A page with strong comment rates but low reach has the opposite problem and needs a different strategy.
Most LinkedIn analytics tools report total engagement without distinguishing between these signals. This audit treats them separately because the recommended fixes are different. Conflating reactions with comments produces a combined engagement metric that obscures which problem the page actually has.
Yes. The Flow works on any public LinkedIn company page — a client's page, a competitor, a benchmark brand, or a prospective client you want to pitch. Paste the URL and Juma pulls the post-level data directly. No LinkedIn admin access or third-party integration is required.
Agencies use this Flow in three recurring scenarios. Before an onboarding call, they run a quick audit to arrive with specific findings rather than general questions. Before presenting a new content strategy, they use the format-by-format performance data to build a credible case for the proposed changes.
For competitive research, they benchmark a client's page against two or three competitors on the same five metrics. The post-level detail makes the comparison specific: you can see exactly which formats a competitor uses more effectively, which topics generate the most discussion, and where the client has a realistic opening to lead the category.
Three inputs produce the most accurate LinkedIn company page audit: the company page URL, context about any recent page changes, and a specific question you want the audit to answer. These three inputs shift the output from a general overview to a diagnostic that addresses the exact issue the team is trying to solve.
The URL is the most critical input. Without it, Juma relies on search results rather than direct page data and misses post-level metrics. Paste the full URL in the format linkedin.com/company/[page-name].
Recent changes matter because they create a before-and-after split in the data. A rebrand or shift in posting strategy three months ago will affect how the audit reads current performance — mention it so Juma benchmarks each period separately. A specific question, such as "why did engagement drop in Q1" or "are our carousel posts working," gives the diagnostic a sharper focus than an open-ended request.
