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LinkedIn Masterclass 4: How to use AI to grow your LinkedIn account and stay authentic

Recording and notes are below

Event Summary: AI-Driven Personal Branding on LinkedIn with Charlie

This event was a masterclass led by Artem (host and moderator) and Charlie, a LinkedIn influencer and AI content marketer. The session revolved around strategies for building a personal brand on LinkedIn using AI tools, enhancing engagement, and maintaining authenticity. Below is a detailed breakdown of the event:

Participants and Background

  1. Artem: Product marketing leader and founder of Mycircles.ai, a tool for growing LinkedIn accounts with data-driven engagement.

  2. Charlie: AI content marketer with significant growth on LinkedIn (48K followers in under a year), sharing insights on leveraging AI for personal branding.

Key Topics Discussed

  1. AI Tools for Personal Branding:

    • AI Avatars: Charlie uses Pixar-style static AI avatars generated via Consistent Character GPT for LinkedIn posts. These avatars create "scroll-stopper" posts.

    • ChatGPT and Claude: Widely used for generating first drafts, hooks, and tailored LinkedIn content.

    • Hook Generator GPT: A specialized prompt to craft viral hooks and engaging content formats.

    • Perplexity Spaces: For real-time web data retrieval and content ideation.

    • Ideogram: For creating infographic drafts.

    • Canva: Used in combination with Ideogram for refining infographics and adding text overlays.

    • Screen Studio and Veed: For seamless video creation and editing.

    • Napkin.ai and Lime Coach: Tools for creating simple visuals and infographics.

    • Notion: Content planning and organizational tool.

    • Easy Gen: First-draft content creation tailored to LinkedIn's best practices.

  2. Strategies for Content Creation:

    • Infographics vs. Carousels: Infographics are currently outperforming carousels, though Charlie emphasizes blending content types.

    • Content Research: Using validated sources like top creators’ posts and uploading them to tools like Perplexity for analysis.

    • Maintaining Consistency: Posting at regular times to build audience expectation and using prompts to maintain a consistent tone of voice.

  3. Engagement and Community Building:

    • Reciprocal engagement by interacting with a curated list of 100 creators.

    • Leveraging data analytics from LinkedIn native tools and AI to optimize posting schedules and content types.

  4. Balancing Authenticity with AI:

    • The importance of editing AI outputs to match personal tone and voice.

    • Avoiding robotic, generic outputs by adding a human touch and context-specific refinements.

  5. Emerging Trends:

    • Video Feeds: The rising importance of videos on LinkedIn and strategies for leveraging them, including work-style video formats and current AI features.

    • Evolving Content Performance: LinkedIn algorithms seem to favor diversified content formats, with video and infographic reach increasing significantly.

Noteworthy Tools Mentioned:

  • MyCircles.ai: Artem’s tool for LinkedIn growth through engagement and analysis.

  • Synthesia and Argil: AI avatars for video content.

  • M1-Project.ai: ICP research and tailored insights.

Audience Q&A Highlights:

  1. Engagement without CTAs: Charlie recommended adding calls-to-action and engaging with creators to increase interaction.

  2. Scaling Content Creation: Using tools like Notion for planning and smart automation tools like ChatGPT and Easy Gen to streamline workflows.

  3. Balancing Formats: Testing various content types, including repurposing carousels into infographics, to maintain audience interest.

The event concluded with Artem thanking Charlie and attendees, promising recordings and notes for further reference.