What is Leapd - Cassy?

Cassy is an AI coworker for LinkedIn that learns how a user actually writes — not templates, not generic AI tone.It maps their voice from existing posts, then generates content targeting their specific ICP to drive meetings and pipeline, not just impressions.

Users can create a month of LinkedIn content in 10 minutes through conversation.Feed it a topic, URL, PDF, or YouTube link and it produces post ideas from multiple angles.A viral post discovery engine surfaces trending content in the user's niche, ready to repurpose in their voice.

The AI copilot runs strategic playbooks — audit existing content performance, plan a week of posts, repurpose viral content, or brainstorm freely.It pulls from the user's own analytics and history, so recommendations are grounded in what actually worked.

Also includes AI image generation, carousel creation, smart scheduling, and ROI analytics.

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Leapd - Cassy's key features

Brand-aligned post generation that learns brand voice and produces tailored post variations and content calendars
Ideal customer profile (ICP) targeting for audience segmentation and prospecting
Viral post discovery and idea generation surfacing trending niche content and multiple hooks/angles per topic
Content conversion of URLs, documents, and videos into LinkedIn-ready posts
Workflow and engagement automation including task assignment, smart scheduling, automated comment follow-up, and performance audits

Leapd - Cassy use cases

Build a consistent LinkedIn presence using Cassy without manual scheduling — it learns your brand voice, converts long-form content into bite-sized posts, and generates a tailored content calendar to boost reach and credibility
Identify and engage your ideal customers with Cassy by targeting ICPs, automating personalized connection requests, follow-ups and engagement sequences that convert conversations into meetings and pipeline
Increase creative output and viral potential using Cassy's viral post discovery and visual generator to produce high-performing post variations, A/B test them, and leverage analytics to understand what drives meetings and revenue