Add a LinkedIn URL and a brief. Juma's LinkedIn post generator returns hooks, LinkedIn post ideas, and full copy built on the brand's actual engagement data.
Juma is a LinkedIn post generator and content workspace that pulls the profile you share, analyzes recent posts and engagement patterns, and uses that data to write copy grounded in what actually performs for that brand. You provide the profile URL, the content types you want, and any topic direction. Juma returns a full post package with multiple hook options, hashtags, a word count, and an HTML preview showing exactly where the fold cuts each hook.
When the team needs LinkedIn content but does not have a specific topic yet, share the client's profile URL and ask for post ideas. Juma researches the profile, identifies what has been performing, and returns a set of ideas tied to the brand's actual content territory — not a blank brainstorm.
What each idea includes:
Use the ideas as evidence-based options in client briefs rather than starting from a blank page.
IKEA (https://www.linkedin.com/company/ikea/) needs post ideas this week. Analyze their profile and recommend topics based on what's been performing recently.
LinkedIn carousel posts get higher engagement than text posts across most B2B categories. Share the topic and the audience, and Juma writes a slide-by-slide content outline ready to hand directly to a designer — no restructuring required.
What the outline includes:
Each slide is written as a complete unit so the designer can lay out from the brief without additional clarification.
When a client publishes something worth amplifying, paste the blog post URL or content and Juma extracts the most shareable angles. Each post in the batch frames the same material differently so the team covers multiple angles without repeating the same point.
What the batch includes:
One strong article becomes a full week of LinkedIn content.
Shopify just published this blog post: https://www.shopify.com/blog. Turn it into 3 LinkedIn posts with different angles.
Personal profiles reach further than company pages on LinkedIn because the algorithm amplifies first-degree connections' activity to their wider network. Specify the executive's name, company, and topic, and Juma writes posts in their voice — not the company's — with hooks that sound like a person talking, not a brand broadcasting.
What Juma adjusts for a personal profile:
Run a separate prompt from any company page work to keep the voices clean.
Teams build one Juma Project per client and add context over time. Every flow the team runs for that client pulls from the same project, so context compounds across tasks. If a project already exists for this client, these are the knowledge items that improve LinkedIn post output.
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 LinkedIn post generator saves 3 to 5 hours compared to writing a batch of 5 posts manually. The research, hook drafting, copy writing, and fold review all run in a single prompt. The output comes back ready for team review without a separate editing pass.
That time saving compounds across a client roster. A team that manually writes content for 10 LinkedIn clients can cut the first-draft phase from a multi-day task to a single working session. For agencies billing by output rather than hours, the efficiency difference directly expands capacity. The research phase - reading recent posts, identifying top-performing content types, deciding which angles to pursue - typically takes 30 to 60 minutes per client when done manually. This Flow handles it automatically from the profile URL.
The HTML fold preview renders each post inside a realistic LinkedIn feed layout and marks the 210-character truncation point. The team sees exactly which word gets cut and whether the hook earns a click before the full post appears - catching fold problems in review rather than after the post goes live.
LinkedIn places a "see more" link after approximately 210 characters. On mobile, the visible portion is shorter. A hook that reads well in a document can fail entirely on the platform if its strongest point falls below that line. This preview removes that variable: if a hook gets buried or cut at the wrong word, the team catches it before publishing. This addresses one of the most common reasons LinkedIn posts underperform - technically good copy that fails because the first visible lines do not give the reader a reason to keep reading.
The Flow proposes LinkedIn post ideas based on what has performed on the specific profile you share. Each idea includes a format recommendation, a hook angle, and a brief note on the engagement data behind it - grounded in the brand's own content history, not general LinkedIn trends.
The team can accept the ideas as direct briefs for the writing step, adapt them based on client input, or use them as a starting point for a different direction. The LinkedIn post ideas are most useful before a content planning meeting: share the output with the client and use the ideas as evidence-based options rather than starting from a blank page. Clients are more likely to approve content directions grounded in their own profile data than directions that come from the agency's instincts alone, which shortens the approval cycle.
Yes. The Flow writes separately for company pages and executive profiles, adjusting tone, hook structure, and content territory for each. Company pages get institutional, brand-level copy. Executive profiles get first-person, direct copy that reads like a colleague's observation rather than a brand statement.
LinkedIn's algorithm gives personal profiles significantly higher organic reach than equivalent company page posts — typically 3 to 5 times more. The voice difference reflects this: hooks written for a company page fail on a personal profile because readers expect person-to-person framing. If you are writing for both formats in the same brief, run two separate prompts. A single prompt mixing both formats produces output that fits neither context well. Specify the profile type clearly and Juma adjusts every element of the output — tone, hook angle, CTA style, and content territory — to match.
