Imagine unlocking the full potential of artificial intelligence to revolutionize your social media marketing strategies. In this exclusive Q&A, insights from founders and Marketing leaders reveal groundbreaking ways AI is being used creatively in the industry. With nineteen expert opinions, the discussion kicks off with using AI for cultural bridge-building and concludes with tailoring GPTs for platform-specific content. Discover how these innovative approaches can elevate your brand’s online presence.
- Use AI for Cultural Bridge-Building
- Elevate Engagement with Hyper-Targeted Content
- Create Hyper-Personalized Content for Audiences
- Craft Real-Time Trend Hijacking Campaigns
- Leverage AI for Dynamic Personalized Ads
- Turn Reviews into Testimonial Videos
- Enhance Human-Centered Design with AI
- Streamline Content Creation with AI
- Revolutionize Marketing with AI Copilot
- Brainstorm and Tailor Messaging with AI
- Speed Up LinkedIn Post Creation
- Automate Blog-Based Social Media Posts
- Utilize AI for Campaign Planning
- Monitor Conversations with AI Sentiment Analysis
- Restructure Content Strategy with AI Insights
- Curate Content for Multichannel Engagement
- Create Stunning Visuals with Canva’s AI
- Identify Micro-Influencers with AI Analysis
- Tailor GPTs for Platform-Specific Content
Use AI for Cultural Bridge-Building
Rather than chasing viral trends or relying on AI-generated content, we’ve revolutionized our social media strategy by using AI as a cultural bridge-builder. Our proprietary sentiment analysis system doesn’t just track mentions—it identifies cultural nuances and regional preferences across our markets. This insight helps our human team craft authentically localized content that resonates deeply in each region.
For instance, we discovered that our East Coast audience engages most with sustainability-focused content early in the week, while our West Coast followers respond better to innovation stories shared during evening commute hours. AI helps us optimize these timing patterns while our creative team develops market-specific narratives that feel native to each region.
The results speak volumes: 47% increase in cross-regional engagement and a 3x boost in qualified lead generation. Most importantly, we’ve built genuine connections with diverse audience segments who now see us as a brand that truly understands their unique perspectives and values.
The key is using AI as an insights engine to empower human creativity, not replace it. Let AI handle the heavy lifting of pattern recognition while your team focuses on crafting authentic, regionally relevant stories that forge real emotional connections. This approach transforms social media from a broadcast channel into a powerful tool for building genuine relationships.
Solomon Thimothy
President, OneIMS
Elevate Engagement with Hyper-Targeted Content
We used AI to elevate a client’s social media strategy by creating hyper-targeted, engaging content at scale. One specific campaign leveraged AI-driven sentiment analysis to craft personalized replies to hundreds of customer comments. The AI analyzed tone, intent, and keywords in comments, allowing us to respond with tailored messages that resonated on an emotional level, boosting engagement by 40% within a month.
In another instance, we trained an AI model to generate short-form videos from existing long-form content. For a fitness brand, this meant repurposing webinar footage into bite-sized clips optimized for Instagram Reels and TikTok. The AI identified key moments, added subtitles, and suggested captions based on trending keywords. This approach not only saved hours of manual editing but also increased video reach by 300%, proving how AI can amplify content creation while maintaining relevance and authenticity.
Brandon Leibowitz
Owner, SEO Optimizers
Create Hyper-Personalized Content for Audiences
We’ve used AI to make social media marketing more effective and engaging by creating hyper-personalized content for different audiences.
This involved launching a campaign to promote our data analytics platform to marketers from various industries, such as retail, tech, and finance. We used AI to analyze large sets of audience data, including interests, demographics, and past engagement patterns. Based on this, we identified what each audience segment cared about most. For instance, retail marketers wanted insights on customer behavior trends, while finance teams were focused on ROI tracking.
Next, we fed this data into an AI-powered content generator to create customized social media posts tailored to each segment. For retail marketers, the posts highlighted features like predictive analytics for customer behavior. For finance professionals, we focused on how our platform tracks and boosts ROI. AI also helped suggest optimal hashtags, posting times, and even visual styles to increase engagement.
However, we didn’t stop there. We used AI-driven sentiment analysis, to track real-time responses to the campaign. This allowed us to quickly tweak the messaging or visuals for underperforming posts, ensuring every part of the campaign stayed relevant and engaging.
The result? A significant increase in engagement rates and higher-quality leads from social media. By using AI, we transformed our digital marketing efforts into a smarter, data-driven process that spoke directly to the needs of different audiences. It showed how AI can take personalization to the next level in a creative and impactful way.
Ira Prevalova
Growth Marketing Director, Adverity
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
Leverage AI for Dynamic Personalized Ads
We leveraged AI to create dynamic, personalized content for social media ads. Using AI tools like ChatGPT and Canva’s AI design features, we crafted tailored captions and visuals based on user demographics, browsing behavior, and past purchase history. For example, we ran a campaign showcasing product recommendations, where AI analyzed customer preferences to generate hyper-personalized ad copy and visuals. This creative use of AI allowed us to automate A/B testing for ad variations, optimizing performance in real time. The campaign increased click-through rates by 25% and boosted engagement by fostering a more personalized connection with our audience.
Muhammad Nurul Afsar
SEO Manager, Numinix
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
Enhance Human-Centered Design with AI
As the visual designer leading marketing at a WOC-led digital design agency, we’ve taken a thoughtful approach to AI integration, using it to enhance—not replace—our human-centered design process. Recently, we experimented with AI to help streamline our content versioning across platforms while maintaining our commitment to authentic, inclusive representation.
We use AI tools to help us quickly adapt our design messaging for different platform contexts—taking a LinkedIn post and suggesting variations that would resonate better with our Instagram audience, for instance. However, we always ensure these AI suggestions go through our team’s cultural and inclusivity lens before implementation. This hybrid approach has allowed us to maintain our authentic voice while increasing our content efficiency by about 32%.
The key lesson? AI works best as an enhancement to human creativity, not a replacement. We’ve found the sweet spot lies in using AI for the heavy lifting of content adaptation, while keeping the core storytelling and inclusive design decisions firmly in human hands.
Alexandra Brown
Visual Designer, Oak Theory
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
Revolutionize Marketing with AI Copilot
Our organization has creatively implemented AI to revolutionize our social media marketing. Using our AI solution, OfficeIQ, we developed an AI copilot trained on our brand’s specific tone, style, and marketing data. This copilot generates tailored social copies, articles, campaign ideas, and email drafts, all aligned with our brand voice, saving significant time and effort.
Additionally, our AI tool helps with sentiment analysis to evaluate the emotional impact of each post and track engagement metrics. By understanding the sentiment our content generates, we refine our strategy to create content that resonates more effectively with our audience.
Lata Tewari
Chief Marketing Officer, Webuters Technologies Pvt Ltd
Brainstorm and Tailor Messaging with AI
My company has embraced AI in a big way to take our social media marketing efforts to the next level. One of the most impactful ways we’ve used it is through tools like ChatGPT to help brainstorm post ideas, write captions, and even tailor messaging for different audiences. This has been a lifesaver during those inevitable creative blocks or when we needed a lot of content ideas quickly to keep our campaigns fresh and engaging. Using ChatGPT allowed us to stay consistent with our posting schedule and focus on strategy rather than spending endless hours coming up with concepts from scratch.
On top of that, we’ve utilized tools like CarouselMaker.co to streamline the creation of carousel posts, which can typically be time-intensive to design. These tools sped up production significantly, making it easier to create visually engaging content without overloading our team or our budget.
While we did sometimes sacrifice a little quality by relying on AI, the trade-off was worth it. It allowed us to produce content at scale, stay cost-effective, and meet the high demands of a fast-paced social media environment. For us, it’s been all about striking the right balance between quality and efficiency, and AI has been a critical piece in making that happen.
Kyle Morris
CEO / Founder, LawTurbo
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
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
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, BluedotHQ
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
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
Curate Content for Multichannel Engagement
We leverage AI for content curation. Maintaining an active presence on multiple social media platforms can be overwhelming. However, at the same time, you need to ensure a multichannel presence to engage your target audience, as you never know which platform they may prefer to explore the required information. AI-powered solutions come in handy here. They help us curate meaningful content from relevant information sources and acknowledge high engagement. Thanks to AI, we are able to share valuable information and insights consistently, generating more traction through social media platforms that align with the preferences of our target audience.
Thomas Griffin
Co-Founder & President, OptinMonster
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
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
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
Greg Grzesiak is an Entrepreneur-In-Residence and Columnist at Grit Daily. As CEO of Grzesiak Growth LLC, Greg dedicates his time to helping CEOs influencers and entrepreneurs make the appearances that will grow their following in their reach globally. Over the years he has built strong partnerships with high profile educators and influencers in Youtube and traditional finance space. Greg is a University of Florida graduate with years of experience in marketing and journalism.
/cdn.vox-cdn.com/uploads/chorus_asset/file/25781148/AI_apps_app_store.png){kind=small}
