1 Craft Real-Time Trend Hijacking Campaigns

As a Social Media Marketer, I used AI to craft a “real-time trend hijacking” campaign for a food brand. The AI tool tracked trending keywords and memes, then came up with witty, brand-relevant content within minutes. For instance, during a viral meme trend, the AI created a post featuring our signature burger with the trending meme format, which we quickly shared. The post went viral, gaining 150K+ engagements in 24 hours and driving a 40% increase in web traffic to the brand’s delivery page.
– Shalu Sharma
Social Media Manager, BigOhTech

2 Turn Reviews into Testimonial Videos

Recruitment marketing is where we really get to have fun with AI for social media. We took our best Glassdoor reviews and turned them into testimonial videos using AI avatars. It took 5 minutes each, and we were able to highlight great employee comments that would otherwise never have been seen. We also promote specific jobs with AI avatars. Finally, we made some fun songs to promote specific jobs.
– Brooke Browne
Marketing Director, Smartbridge

3 Streamline Content Creation with AI

Our absolute favorite strategy is done in 4 steps:

First, after we return from travel, we sit down and have a conversation about the trip and record it using Claude AI. With Claude, you can record up to 10 minutes, which can end up being around 1,000 words.

Then we ask Claude to format the conversation into a blog post. We normally rework this draft further, moving sections around and generating components that will add maximum value to the reader, but we always ask the tool to retain our original wording as much as possible. This is very important.

Next, we prompt the tool to give us recommendations on the existing content, and suggestions for additional content. As with all prompts, we make the tool aware of the audience we are writing for, and our goal, which is always to provide the best UX.

After acting on the best recommendations, we then prompt the tool to create 5 posts for the various social media platforms we are on (e.g., Instagram and Tik Tok), getting inspiration for our style, voice, and language from the original transcript.

We begin the process with real experience followed by a real conversation. This is key because where you source content is critical for originality and uniqueness.

Then, we use AI for efficiency, organization, and ideation. Our conversation becomes a blog, which is enhanced by an AI editing process. Our enhanced article becomes 5 distinct ideas for multiple social media posts.

Ideation, efficiency, organization, and even creation (properly sourced) are all great uses of AI and this process has nearly eliminated the fatigue from writing, overthinking, and having to do some of these things manually, which allows us to put our energy into accumulating more experiences and ensuring our content is true to those experiences and delivers the most value to our readers.
– Brian Gorman
Owner, BrianShio

4 Speed Up LinkedIn Post Creation

AI has been an extremely valuable tool for our marketing team. While content writing itself is still best done by human hands, having an AI creative “assistant” has opened the door to new ideas and expedited workflows. Our strongest social media channel is LinkedIn. Using the OpenAI API platform, our marketing team created a LinkedIn Social Media assistant armed with the knowledge and training of our LinkedIn strategy. We use the assistant chatbot to grab key points from our high performing blog articles to repurpose them into LinkedIn posts. This was something we used to do manually, but the workflow is now significantly faster. Just plug in the article, make some quick edits to give it that human touch and ensure accuracy, and then your post is ready to go on your content calendar.
– Jack Perkins
Founder and CEO, CFO Hub

5 Automate Blog-Based Social Media Posts

We used AI in social media marketing by leveraging it to analyze our blog sitemap and generate new social media posts. The AI tool read through our existing blog content, identified key themes, and crafted posts along with relevant hashtags, making it easy and quick for us to promote our existing blogs.
This approach simplified our social media strategy by automating the process of content creation while ensuring each post stayed aligned with our brand and messaging. It saved us hours of manual effort and helped maintain a steady stream of engaging posts.
– Mark London
President/CEO, Verity IT

6 Utilize AI for Campaign Planning

We don’t use AI to generate content for our social media campaigns. However, we find it very helpful at the planning stages of our campaigns. For instance, we used AI for data analysis related to user behavior to figure out what kinds of content users find the most attractive on LinkedIn. Ultimately, these insights show what content people are more likely to engage with.

We saw that although LinkedIn is a more professional platform, unlike Instagram, for instance, users still tended to click on content that had elaborate visual elements. That’s why I started making posts that would include aesthetically pleasing infographics, pictures, or even short videos. Because of this, engagement rates significantly increased.

Additionally, sometimes I really need to make a post to stay consistent, but I just can’t come up with anything valuable. That’s when I turn to AI and kind of brainstorm with it. It gives me ideas, and I spin them and give them a personal touch. Because social media is really all about authentic human connection, so using solely AI-generated content is a bad idea.
– Ruslan Halilov
CMO at BluedotHQ

7 Monitor Conversations with AI Sentiment Analysis

We used ChatGPT for social media listening, an integral aspect of social media marketing. For its natural language processing (NLP) capabilities, we incorporated ChatGPT to monitor social media conversations about our services through AI-driven sentiment analysis. It helped us understand consumer behaviors and perceptions to craft our marketing strategies accordingly.

Trend detection is another feature that allows us to identify emerging trends and topics within our industry. By analyzing these trends, we can create timely, engaging content that aligns with our audience’s demands.

Businesses who want to use ChatGPT for social media marketing should regularly update and refine training data to achieve accuracy in social media listening. Always assist with automated responses to improve personalization and experiment with different prompts to maximize their potential.
– Soubhik Chakrabarti
CEO, Canada Hustle

8 Restructure Content Strategy with AI Insights

We have been early testers and adopters of AI in social media marketing and have found prompts effective for organizational restructuring of content based on performance analytics. Proper prompts can give greater visibility to your competitors’ social media content strategy, and you can revise your content strategy accordingly.

Many mistakes we see as a digital agency are when individuals and executives try to use AI-generated content directly, replacing their own point of view. AI-generated content ranks differently, and human readers, who are familiar with large language model-generated content, can spot it. When content is thought out and represents new viewpoints or continues a narrative of executive points of view, an audience is engaged.

Think of the visibility of competitors in a larger landscape, and about what their brand is “saying” digitally; this is what AI can capture in moments. It would take hours to compile this information, and the labor would also need to be trained. Use AI to compile data and provide a rough analysis through prompts, then base more complex strategy and content around the findings.
– Matthew Capala
CEO, Alphametic

9 Create Stunning Visuals with Canva’s AI

We’ve been diving headfirst into Canva’s AI tools, and let me tell you, it’s been a game-changer for our social media visuals. It’s incredible how AI can take a simple idea and transform it into stunning graphics. We recently used Canva’s AI image generator to create a series of visuals for a social media campaign promoting a client’s new product. We simply fed the AI a few keywords and descriptions, and it generated a variety of images that were not only relevant but also incredibly eye-catching.

What’s even more impressive is how Canva’s AI allows us to customize these images to perfectly align with our brand and messaging. We can tweak the colors, adjust the composition, and add text overlays—all within Canva’s user-friendly interface. It’s like having a personal artist on demand, but without the hefty price tag. This AI-powered approach has allowed us to create visually compelling social media content that truly stands out from the crowd. It’s not just about pretty pictures; it’s about using AI to amplify our creativity and connect with our audience on a deeper level.
– Michael Lazar
CEO, Content Author

10 Identify Micro-Influencers with AI Analysis

We used AI to analyze thousands of influencer profiles to identify micro-influencers with the highest relevance and engagement for our clients’ campaigns. This went beyond simple follower counts, factoring in sentiment, audience overlap, and niche appeal. The curated partnerships led to authentic collaborations that resonated deeply with audiences, driving both brand awareness and trust. AI helped us shift from broad reach to meaningful, targeted impact.
– Jason Hennessey
CEO, Hennessey Digital

11 Tailor GPTs for Platform-Specific Content

In my Web3 marketing agency, we’ve used custom GPTs creatively for social media marketing by tailoring each model to reflect our clients’ unique voices across different platforms. Each GPT is trained on the client’s brand messaging, tone, and past content, enabling it to generate optimized posts for specific channels like LinkedIn, Twitter, or Instagram.

For example, for a Web3 client targeting thought leadership on LinkedIn and casual community engagement on Twitter, the custom GPT crafted professional, data-driven posts for LinkedIn while creating shorter, conversational tweets for Twitter. This allowed the client to maintain consistency in their messaging while adapting to the distinct audience expectations of each platform. The result was increased engagement and a streamlined content creation process, freeing up resources for strategy and analytics.
– Victoria Olsina
Web3 SEO Agency Founder, VictoriaOlsina.com

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To those 11 approaches to AI and social, we add our own:

12 From News Monitoring to Social Posting

We’ve set up automated monitoring of RSS Feeds for relevant topics via RSS.app. Then we use a custom Make.com automation to gather those feeds early every morning and paste them into a Google Sheet.

We could use AI to evaluate the news stories and apply sentiment analysis for relevance and newsworthiness and surface the most significant, and actually have an automation sequence to do just that, but for now we prefer to use human eyeballs to scan the new entries. We then choose one or more stories, use it as the basis for a blog article (as we’ve done with this very story, based on a Grit Daily article).

Then we copy the content as it typically stands so far and ask our Magnificent Seven AI collaborators (Perplexity, Claude, ChatGPT, Meta AI, CoPilot, Gemini and occasionally NotebookLM) to suggest a compelling introduction to the article that will heighten interest, based on teasing the article contents. (And we’ve used AI to create a Chrome extension that simultaneously launches browser tabs to all the AIs for us to post our prompts.) In this article, Gemini provided the heart of the introduction above.

Once we’ve finalised the article (typically using MidJourney to create a featured image), we send it live. Then we use Perplexity to view the article and suggest tags and a meta description,

Next, we copy the article link into a Google Sheet, along with the headline, choosing five different creative approaches from a dozen dropdown possibilities we’ve previously specified.

Then we launch another Make.com automation which uses Claude to write five different social post variations based on the article and those creative approaches. We eyeball those and paste our preferred option, tweaked where necessary, into Airtable, which we’ve found is better able to cope with the post formatting than Google Sheets.

Meanwhile, we ask the AIs to suggest multiple short headlines for the finished article that will catch the attention of our target audience, business owners and managers.

One final human step; we choose our preferred headline and add it to the listing on Airtable, along with our post.

Each weekday morning, at 8.45am (which we’ve found to be the best time for posting to LinkedIn), a Make.com automation triggers which checks for new Airtable listings and then, using the Placid API, creates an image of the preferred headline, pairs it with the post content and then posts sequentially to LinkedIn, Facebook and Instagram.

No, it’s not human-free, just human-directed (and perhaps human-assisted). But that’s the point: we still need to be involved, to ensure our own thoughts, beliefs and intentions are properly represented.
– Michael Carney
CEO, Netmarketing Courses

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Are you interested in using AI to help you with your social media and other marketing efforts? Check out our “AI for Marketers” online training course at https://socialmedia.org.nz/ecourses/ai-for-marketers/