Compare your brand's LinkedIn against competitors using engagement data, content themes, and comment sentiment. Get a competitor table and strategy brief.
Name the brand and the flow handles the rest. The analysis includes executive posting activity, comment quality signals, and format performance patterns alongside standard engagement metrics.
The analysis pulls live data from each company's LinkedIn page: follower count, posting frequency, engagement rates, top-performing posts by format (text, carousel, video, poll), recurring content themes, and comment sentiment extracted from high-engagement posts. The output is a competitor table where every company sits side by side across the same metrics. A strategy section follows with content theme comparisons (what each competitor talks about and how the audience responds), format performance patterns, comment quality analysis (conversations vs. vanity reactions), executive posting activity across competitor leadership teams, and specific content opportunities for the brand.
On Instagram, competitive analysis centers on visual formats and engagement rates. On LinkedIn, the signals are different. Comment quality matters more than reaction count: a post with 50 thoughtful comments from directors and VPs carries more weight than one with 500 likes from unrelated profiles. Executive posting is a competitive dimension with no equivalent on other platforms, where a competitor's C-suite might extend the company page's reach by 5-10x through personal profiles. The analysis surfaces these LinkedIn-specific signals alongside standard engagement metrics.
Point the analysis inward. This pulls engagement data from the brand's own LinkedIn page and evaluates what's working, what's underperforming, and what the comment sentiment reveals about audience needs.
Analyze our client LEGO's LinkedIn page (https://www.linkedin.com/company/the-lego-group/). What's performing, what's falling flat, and what should change?
A focused comparison between two specific LinkedIn pages. The output highlights where each company wins, where they overlap, and where neither is showing up.
Compare HubSpot (https://www.linkedin.com/company/hubspot/) and Salesforce (https://www.linkedin.com/company/salesforce/) on LinkedIn. Who's winning on engagement and what does each do differently?
On LinkedIn, a company's reach extends through its leadership team's personal profiles. This prompt maps which competitor executives are active, what they post about, and how their personal content amplifies or diverges from the company page.
Our client competes with Shopify. Research whether Shopify's leadership team is active on LinkedIn and what they post about. Compare their exec presence to our client's.
After running a competitive analysis, this prompt takes the findings and creates specific LinkedIn posts targeting the gaps and opportunities identified.
Based on the competitive analysis, write 5 LinkedIn posts for IKEA that target the content gaps we found. Focus on themes competitors are missing.
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. If a project already exists, adding competitive context means each new analysis builds on what came before instead of starting from scratch.
Brand Voice Guide
How the client sounds on LinkedIn: tone, vocabulary, what to avoid. Add this and any content created from competitive insights matches the brand, not the competitor being analyzed.
Audience Profile
Who the brand's audience is on LinkedIn: job titles, seniority, industries, what they engage with. This shapes which competitive gaps actually matter for this specific brand, not just which ones exist.
Competitor Watchlist
The 3-5 key competitors to track, with LinkedIn company URLs and a one-line positioning note for each. Add this and the "who should we compare against?" conversation disappears.
Previous Analysis Snapshots
Past competitive reports saved as reference. The AI compares new data against previous benchmarks to surface trends: "Competitor X increased carousel frequency by 40% since last quarter" or "engagement rates dropped across the category."
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:
