LinkedIn AI Content Strategist

Audits a LinkedIn creator’s content engine from public post data. It captures creator voice, benchmarks performance against account-level medians, deconstructs competitor outliers, maps the Reach → Trust → Sales funnel, and returns evidence-derived content angles. Use for LinkedIn content audits, conversion diagnosis, competitor analysis, funnel-gap analysis, performance reviews, and evidence-backed content angles. Not for canned-template libraries or generic unsourced post ideas.

Sample result

Run live demo
LinkedIn content and funnel audit
Content StageCurrent MixMedian EngagementFunnel Diagnosis & Angle
1Reach (TOFU)68% (17 posts)142 reactions / 18 commentsOver-indexed on broad workplace trends. Action: Retain stat-led hooks on hybrid floorplan density.
2Trust (MOFU)24% (6 posts)88 reactions / 12 commentsUnder-indexed on proof. Action: Introduce teardowns of Everton Holdings 400-desk acoustic fitout.
3Sales (BOFU)8% (2 posts)21 reactions / 3 commentsSevere gap; link-out posts throttled. Action: Shift to on-platform spec guide DM triggers.

Example run

You ask

“Run a LinkedIn content audit for Emeka Bianchi at Everton Holdings to diagnose our post performance and identify funnel gaps in the commercial furniture space.”

9:01 AM
Fetch public post data for Emeka Bianchi

Retrieved 25 posts over 90 days for Emeka Bianchi at Everton Holdings.

9:02 AM
Audit post stage distribution and median metrics

Reach: 68% mix (142 reactions median), Trust: 24% mix (88 reactions median), Sales: 8% mix (21 reactions median).

9:03 AM
You get

LinkedIn Content & Funnel Audit — Everton Holdings

9:04 AM

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