How to Use AI to Write Social Media Content

In this webinar we walked through how to use AI to write social media content. We also covered the basics of AI and some of the best practices for using AI.


In a comprehensive webinar titled “How to Use AI to Write Social Media Content,” Rob Grosshandler, founder of, and Judson Moore, Director of Cause Relations at, shared valuable insights on leveraging AI technologies to enhance social media strategies for nonprofits. The session covered practical tips on integrating AI tools to streamline content creation and increase engagement.

Key Points Discussed:

Introduction to AI in Social Media

Rob Grosshandler introduced the webinar, emphasizing the dual nature of AI in social media management: its simplicity in execution and the complexity of its technology. He highlighted the transformative potential of AI in saving time and enhancing the quality of social media content.

Leveraging AI for Nonprofits

Judson Moore took the audience through the practical applications of AI in creating impactful social media content. He demonstrated live how AI can help generate text and images that resonate with the audience, using tools like Google’s Gemini and Crayon for image generation.

Interactive Q&A Session

The webinar featured an interactive sidebar where participants could post questions in real-time, allowing for a dynamic learning environment. Moore addressed these questions, focusing on the practical implementation of AI tools.

Demonstration of AI Tools

A significant portion of the webinar was dedicated to live demonstrations of various AI tools. Moore showcased how to create engaging content using AI-generated text and images, including tips on integrating these elements effectively on social media platforms like Facebook.

Ethical Considerations and Best Practices

The discussion also touched upon the ethical implications of using AI in content creation. The presenters urged the audience to use AI responsibly, ensuring that the content remains authentic and true to the organization’s mission.

Future of AI in Nonprofit Sector

The webinar concluded with a forward-looking discussion on the evolving role of AI in the nonprofit sector. The presenters emphasized continuous learning and adaptation as key to leveraging AI effectively.


The webinar provided attendees with a thorough understanding of how AI can revolutionize social media content creation for nonprofits. Participants were encouraged to explore various AI tools, consider ethical implications, and continuously adapt to new technologies for better engagement and outreach. Future webinars are planned to delve deeper into specific AI applications in the nonprofit sector.

This summary encapsulates the key aspects of the webinar, serving as a resource for those unable to attend and a refresher for participants. For further details on upcoming sessions and additional resources, visit the website.


During the webinar we discussed a number of the tools and resources that can help you create social media content using AI. Here is a list of some of the tools we mentioned. The tools we actually used in the webinar are listed first in each category.

AI Social media copywriting

  • Google Gemini AI (freemium): A powerful tool for generating ad copy, headlines, and more.
  • (freemium): Similar to, with a focus on marketing and sales copy.
  • Rytr (freemium): Budget-friendly option with a variety of short-form content templates.
  • (paid): Versatile, good for ad copy, blog post snippets, and social captions. Show use in brainstorming and overcoming writer’s block.

AI Image generation with text prompts

  • Craiyon (freemium): Free, accessible option for basic image generation. Great for quick idea visualization.
  • (freemium): Effortlessly removes backgrounds automatically, perfect for product images or social graphics.
  • DALL-E (paid): The leader in sophisticated image generation. Emphasize its power for unique, conceptual visuals (requires access, likely paid).
  • Midjourney (paid): Another powerful option, known for artistic and stylized output.

Stock media libraries

  • Pexels: Free stock photos and videos.
  • Unsplash: Free high-resolution photos.
  • Videvo: Free stock videos.
  • Pixabay: Free stock photos, videos, and music.

Other AI media tools

  • ElevenLabs (freemium): A versatile tool for creating images, videos, and more with AI-generated content.
  • Synthesia (freemium): Creates professional videos with AI-generated avatars - perfect for tutorials, social explainers, or when camera-shy.
  • HeyGen (freemium): A versatile tool for creating images, videos, and more with AI-generated content.
  • Let’s Enhance (freemium): Upscales and improves image quality; great for polishing existing content.
  • Pictory (paid): Turns text (like blog articles or scripts) into videos using stock footage and AI editing. Highlight time-saving features.

Putting it all together

  • Canva (freemium): A versatile design tool for creating social media graphics, presentations, and more. Mention its ease of use and free tier.
  • Google Slides (free): A simple, collaborative tool for creating presentations and graphics. Great for quick, easy designs.
  • Buffer (freemium): A software application for the web and mobile, designed to manage accounts in social networks, by providing the means for a user to schedule posts to Twitter, Facebook, Mastodon, Instagram, Instagram Stories, Pinterest, and LinkedIn, as well as analyze their results and engage with their community.

Questions and Answers

During the webinar, a number of great questions were collected. Here are the answers to those questions from our panel of experts.

The development of AI content is based on large datasets of existing human-generated content to avoid merely replicating itself. Continuous updates and improvements in AI models are necessary to prevent such dysfunctional cycles. AI needs to be guided and verified by human input to maintain its utility and relevance.

Yes, AI can be used to generate code based on given content or specifications. Tools like OpenAI’s Codex or Google’s Gemini can be programmed to convert descriptions into functional code, aiding in automating tasks and developing new software applications.

Best practices include using AI to draft initial content based on data and past successful appeals, followed by human editing to ensure emotional resonance, personalization, and alignment with the organization’s voice. AI can help scale efforts but should be blended with human insight to maintain authenticity.

Transparency is crucial. If content is AI-generated, disclosing this helps maintain trust with your audience and complies with platform policies. Concerns mainly involve ethical considerations and the accuracy of AI outputs, which should be carefully reviewed.

Crayon (now rebranded as Craiyon) does not typically generate new images based directly on existing images but can create images inspired by descriptions provided by the user. It’s best for creating original content rather than modifying existing imagery.

Understanding your platform’s demographics, the best times for posting, the type of content that engages your specific audience, and social media analytics tools are essential. AI can then be used more effectively to tailor content, schedule posts, and analyze engagement.

Beginners should start by using simple AI tools and gradually progress to more complex applications. Engaging with online courses, tutorials, and community forums, and practicing regularly will enhance proficiency.

AI tools can analyze past post performance to determine optimal posting times, suggest content improvements, and automate the posting process across different platforms, making social media management more efficient.

Tools vary by platform due to different content formats and audience interactions. For instance, Buffer and Hootsuite are great for scheduling across multiple platforms, while Yotpo excels in generating user reviews and content for marketing.

Yes, tools like Canva, Adobe Spark, and Craiyon offer AI-driven capabilities to create high-quality images and branded content tailored to specific marketing needs and aesthetics.

Yes, there can be copyright issues, especially if the source material is copyrighted and the AI manipulates it without permission. It’s crucial to ensure that the material is either in the public domain, appropriately licensed, or original.

Images created by Craiyon are typically generated from scratch based on user prompts and are generally free from copyright restrictions. However, users should verify this based on the latest policies of Craiyon.

Some AI applications offer free or discounted services to 501(c)3 nonprofits. Organizations should inquire directly with service providers to find out about any available nonprofit discounts or free services.

Potential pitfalls include over-reliance on AI without human oversight, which can lead to content that lacks personal touch or authenticity. AI might also misinterpret nuances or context, resulting in inappropriate or ineffective content.

Privacy and ethical concerns include the proper handling of personal data, ensuring transparency about AI’s role in content creation, and avoiding biases in AI algorithms that could lead to unfair or harmful content distribution practices.

Judson Moore

Judson Moore

Director, Cause Relations
Rob Grosshandler

Rob Grosshandler