Scaling Social Growth 2x with AI-Workflows

Matteo Tittarelli, founder and Director of Genesys Growth, recently shared how he leveraged AI-powered workflows to double his LinkedIn followers in just 100 days. By streamlining content ideation, creation, and repurposing across multiple channels, Matteo has been able to consistently produce high-quality content that resonates with his target audience, driving significant growth for his personal brand and business. With that, he's able to create higher-quality content faster, and with that dedicate more time to closing deals coming inbound via the increased engagement.

Check out the full webinar here.

Quick Recap of Key Takeaways

• Modular workflows allow for increased efficiency in content ideation, strategy and creation
• AI workflows help create cross-channel content from a single topic idea
• Injecting context from knowledge bases improves output quality and brand alignment
• Human review steps ensure content matches personal taste and style
• Consistent posting and social engagement are key to driving follower growth

The Challenge Faced

As a solo entrepreneur, Matteo faced the daunting task of creating high-quality content at scale while managing multiple hats, including business development, marketing, and client work. Consistently posting on LinkedIn, his primary platform for reaching his ideal customer profile (ICP), required significant time and effort. Additionally, repurposing long-form content into multiple formats and ensuring that the content led to qualified leads and customers proved challenging.

The Results Achieved

By implementing AI-powered workflows with AirOps, Matteo has:

• Doubled his LinkedIn followers from 3,900 to 7,500 in 100 days
• Streamlined content ideation, creation, and repurposing across multiple channels
• Generated 5-10 inbound calls per week, with 3-4 being highly qualified
• Driven all new business through inbound leads, without sending a single outbound email

Workflow Deep Dive

Cross-Channel Content Creation from a Single Topic

Matteo's workflow begins by inputting a keyword into AirOps, which then uses Perplexity to expand the topic and validate its SEO potential. The expanded topic and context are passed through the workflow, where AirOps pulls from Matteo's specific writing styles and post templates to create a variety of content assets, including:

• SEO outline and article
• Newsletter article
• LinkedIn post and carousel
• Twitter thread and individual tweets
• Ideogram image

Key tips:

• Break down workflows into modular, reusable components for easy scaling
• Inject context from knowledge bases to improve output quality and brand alignment

Best Practices and Key Learnings

Use Grids to Scale Workflow Management

Matteo uses the AirOps Grid to manage his workflows end-to-end, with multiple human-in-the-loop steps throughout. This gives him the ability to go from topic idea to content created for 4+ channels, all from a single view and have full creative control over the content's direction.

Completing Topic Research with Perplexity

Within this example, see how Matteo goes from topic idea to a fully researched report using perplexity with a very precise and well-structured prompt. The question of why Perplexity was chosen as the model was discussed too, with Matteo detailing that it fulfilled his need better because of access to fresher data and more thorough reference linking than GPT4o.

Refine Prompts with Copilot

Using AirOps' copilot feature to refine and improve prompts has been a game-changer for Matteo. By focusing on the granularity and setup of the processes, he has been able to achieve the desired output and learn more about the tool.

Create Short, Clear, and Linear Workflows

Instead of building massive workflows with numerous steps, Matteo found it more efficient and modular to create short, clear, and linear workflows that can be patched together or sequenced into grids. Breaking down research and creation workflows provides a more modular structure, allowing for better scalability.

Leverage Knowledge Bases

Incorporating knowledge bases is a significant differentiator in the quality of the output. By feeding the LLM with structured context and content, such as blog posts, LinkedIn posts, and customer call transcripts, Matteo ensures that the generated content matches his brand voice, style, and writing patterns.

A/B Testing Prompts and Models

We received many questions about best practices when it comes to A/B testing between individual models, but also prompts. For model selection, it really comes down to a matter of personal taste in how the output matches what you're looking to achieve in the areas of format, style and function. Similarly for prompts, it should be an iterative process to get towards a final result that you are happy with. Oftentimes it's better to start with a simpler prompt and work your way towards something more detailed, than the reverse. In that, you can iteratively add on context to direct the response as you need. For A/B testing, within AirOps, you can connect the output of one block to 2 LLM steps each set up with different models or prompts. By running them in parallel, you can easily and quickly see which one is closer to your desired output.

Maintain Human Oversight

While AI can automate much of the content creation process, human oversight remains crucial for quality control. Matteo emphasizes the importance of reviewing outputs, making edits within AirOps' human review steps, and personally handling the final posting to maintain authenticity and control.

Putting the Insights into Practice

Matteo's success story showcases the power of AI-driven workflows in scaling content creation and driving social growth. By starting with a clear idea of your goals, mapping out modular building blocks, and leveraging the strengths of AI tools while maintaining human oversight, you can create a consistent stream of high-quality content that resonates with your target audience.

To help you implement these strategies and achieve similar results, book your strategy call with an AirOps Growth Expert today.

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