Seven best generative AI tools and use cases
You may have seen on LinkedIn those sliders pass by How I generated 100k traffic using AI-generated blogs. Besides copywriting, generative AI offers a range of opportunities to improve your marketing. In this blog post, we will explore the best practices, the use cases, and the most valuable tools on the market.
Mastering Gen-AI: Four Critical Guidelines
As more and more companies start to use AI tools to amp up their digital marketing, it’s important to remember that customers still crave that personal connection. Sure, AI can whip up content and analyze customer behavior unlike anyone, but it’s key to find the right mix of tools and human interaction.
So let’s dig into some tried-and-true ways to use AI in your digital marketing, without making your customers feel like they’re just talking to a robot.
1. Use Quality Data
The quality of AI is deeply intertwined with the data it’s trained on. Using first-party data is crucial for ensuring that AI models operate with accurate information. For optimal results, it’s important to keep updating and verifying your data sources regularly.
It’s equally critical to scrutinize AI systems for any biases they may harbor. These models significantly shape future interactions with customers, and their susceptibility to biases can become a serious issue. When biases go unnoticed, they can erode trust and harm your reputation.
2. Human Checks
AI-generated content, while powerful, isn’t always perfect; it can produce material that’s inaccurate or even deceptive. This underscores the critical role that human editors play in reviewing and refining what AI systems produce.
Achieving content that rivals human-level quality often involves a multi-tool approach. While the initial output from machine-generated algorithms can be excessively wordy, various tools like Jasper AI, Wordtune, and ChatGPT can be used to get your texts close to the real level.
A great example of pairing generative AI with a human touch, is the company Casual who used the copy tool Byword, to build thousands of pages and multiple campaigns to go within a year from 0 to 800 k monthly sessions on their website.
3. Keep Your AI Models Up-to-Date
Staying ahead of the curve is an imperative in the swiftly evolving landscapes of generative AI and digital marketing. According to data from arXiv.org, roughly 3,000 AI-related papers are submitted every month. This flood of information can be overwhelming, but it also offers an opportunity.
Being up-to-date allows you to quickly adapt and implement the latest innovations into your marketing strategies, whether that’s the latest generative ai tool or a new algorithm for better customer segmentation.
4. Be Transparent
Transparency in data usage is becoming increasingly significant as consumers grow more aware of their digital footprints. Compliance with data privacy regulations like GDPR is a fundamental point that cannot be ignored. Clear communication with consumers about how their data will be used fosters a climate of trust that is beneficial for both parties.
The harmonious interplay between AI and human marketers is the bedrock of effective AI implementation. While AI excels in data analytics and scalability, it lacks emotional intelligence and creative flair.
On the flip side, humans offer the finesse of storytelling and emotional depth but struggle with the massive amounts of data that require analysis. Fusing AI and human expertise in a seamless cycle is the future of growth marketing.
7 Use Cases of Generative AI in Digital Marketing
By leveraging the capabilities of deep learning and language models, generative AI can provide valuable insights and enable marketers to create high-quality content at scale. Let’s explore eight real-world use cases of generative AI in marketing, showcasing its potential to revolutionize various aspects of the marketing landscape.
Content creation serves as an indispensable component in any effective marketing strategy. However, traditional approaches to generating high-quality content often consume significant amounts of time and resources.
Enter Generative Artificial Intelligence, leveraging sophisticated neural networks, these AI systems have the capacity to analyze vast datasets and generate compelling blog articles, timely social media updates, and persuasive product narratives.
Importantly, these AI tools accomplish this while taking into account critical factors such as target audience, Search Engine Optimization (SEO) keywords, and overarching marketing goals.
The outcome is an optimized content creation process that not only conserves valuable time but also ensures a level of quality and adaptability essential for staying competitive in this fast paced world..
#2 Image and Video Gen
Generative AI technologies have kicked off a new era in content creation that goes far beyond simple text. Today, these advanced systems can generate high-resolution images and dynamic videos, revolutionizing how we think about visual media.
This seismic shift owes much to generative adversarial networks (GANs), which can transform textual prompts into stunning visuals.
Leading the charge in this exciting landscape is Midjourney. Instead of relying on stock photos from Adobe or Unsplash, Midjourney uses GANs to create hyper-realistic images that match user descriptions. For marketers, this means the opportunity to design custom images that fit their campaigns perfectly—eye-catching product photography, unique logos, or attention-grabbing social media graphics.
With this technology, businesses can not only visualize but also tweak new designs or variations to align with anticipated consumer tastes. This cuts down the time and resources usually invested in making prototypes and conducting market research,
Another tool, Runaway, specializes in taking video content to the next level. Far from just offering static images, Runaway turns text prompts into engaging marketing videos. These aren’t your average clips; we’re talking AI-generated voiceovers, appropriate background music, and visuals that are woven together in a seamless tapestry. The end product is a dynamic video that not only captures attention but also tells a compelling story.
#3 AI x SEO
The utilization of generative AI technologies offers a multi-faceted approach to Search Engine Optimization (SEO). One notable feature is identifying topic clusters through the analysis of content across diverse digital platforms. This capability enables you to develop a coherent and interconnected content strategy, thereby enhancing your brand’s online visibility and improving its position in search engine rankings.
Generative AI’s capabilities are not limited to merely identifying high-volume keywords; it also offers deep insights into the subtleties of user behavior and search intent. This allows marketers to refine their keyword strategies, focusing on terms that are most aligned with the needs and preferences of their target demographics. The outcome is improved search engine rankings, but also more meaningful engagement with the brand’s target audience.
Furthermore generative AI is capable of recommending negative keywords, optimizing meta tags, and providing a comprehensive analysis of competitors’ SEO strategies. This ensures that the content produced is compliant with search engine algorithms by tackling technical SEO issues and is well diversified from your competitors.
#4 AI Segmentation
Generative AI takes customer segmentation to an advanced level by combining multiple data streams to create detailed customer profiles. Within just a few minutes, it can perform an in-depth analysis of a buyer’s journey or apply the “jobs to be done” framework. This advanced approach allows you to identify nuanced consumer segments for highly targeted and effective marketing campaigns.
Building on that, the predictive capabilities of Generative AI serve as a game-changer for your marketing strategy. Not only does it analyze past behaviors and market trends, but it also generates the code necessary to predict future customer actions. For example you can use Generative AI to measure customer churn rates, enhance upselling and cross-selling strategies, and even forecast the marketing budget required for specific events like Black Friday. By doing so, you’re equipped to not only meet but also anticipate your customers’ diverse needs.
In 2023, personalization is a must-have. Consumers and business prospects are bombarded with information, advertisements, and offers. In such a crowded space, the key to grabbing attention and nurturing a relationship is through delivering tailored experiences. Generic messaging simply doesn’t cut it anymore. Using generative ai to walk this extra mile is both a fast and cost effective solution.
When it comes to B2B marketing, advances in generative AI changes how we do (cold) outreach. Consider the modern sales professional who uses AI to scour LinkedIn profiles and curate bespoke messages. By analyzing the latest content a prospect has published or engaged with, generative AI can craft a message that is not just relevant but timely and impactful. Additionally, customization can extend to visual elements, like incorporating a prospect’s logo or name into product images. Remember an image speaks more than a thousand words.
Shifting focus to B2C marketing, generative AI is making strides here too. Imagine a scenario where a customer abandons their shopping cart. Instead of sending a generic follow-up email, brands can now deploy personalized videos that are dynamically generated to urge the customer to complete the purchase. Similarly, unique welcome videos can be created to celebrate a new subscriber joining a newsletter. Beyond this, AI can also dynamically adjust website layouts and elements to offer the most effective user experience. This goes beyond conventional A/B testing, allowing for simultaneous testing of hundreds of site versions to deliver the most engaging and converting format for individual visitors.
#6 Customer support
AI chatbots are increasingly taking center stage in the realm of customer service, offering several advantages over traditional support systems. Unlike human-operated customer service desks, which are often restricted by time zones and business hours, AI chatbots provide uninterrupted, 24/7 assistance. This constant availability not only boosts customer satisfaction but also cultivates long-term loyalty to the brand.
Take Uber as an example. The ride-sharing behemoth has effectively deployed AI in its customer service operations. Before routing a user to a live support agent, Uber’s system attempts to resolve issues using AI technology. This approach not only expedites problem resolution but also leads to substantial cost savings, as many issues are resolved without human involvement.
This trend isn’t limited to ride-sharing services; it’s also gaining traction in the e-commerce sector. Many online retailers have started to incorporate chat windows that proactively assist customers in making choices.
#7 Automated Reporting
Imagine you’re a busy marketing professional juggling campaigns, analytics, and stakeholder meetings all day. The last thing you have time for is to compile marketing performance reports manually. That’s where generative AI steps into the spotlight.
With advanced data interpretation and natural language generation capabilities, this technology can automatically sift through mountains of marketing data to generate insightful reports.
Whether you want to understand customer behavior, measure ROI, or track social media engagement, generative AI can churn out reports tailored to your KPIs. Best of all, these aren’t just sterile sheets of numbers; they can be rich, narrative summaries that are as easy to read as they are informative. You can even interact with your data through natural language queries, reducing the time spent on manual data analysis.
Top 7 Generative AI Tools
If you are familiar with navigating the bustling marketing automation landscape, you know how many AI start-ups are sprouting, proclaiming they are the next Google. Therefore, we made a selection of our favorite tools that we use.
Synthesia steps up the game by allowing marketers to create hyper-realistic videos with AI avatars that are fully customizable. Whether you’re aiming for a specific demographic or a global audience, this platform makes it easy. Thanks to its drag-and-drop interface and rich media library, marketers without graphic design experience can create top-notch videos. Plus, its support for over 120 languages makes it an international powerhouse.
Fueled by GPT-4, ChatGPT Plus isn’t merely a tool for generating text; it’s a comprehensive platform designed to take your digital communications to the next level. With features like nuanced tone modification and in-depth data analytics, this is your go-to hub for meaningful online interactions. And it gets even better: thanks to integration with DALL-E 3, you can create perfectly matched images to accompany your text. Want to code a website from an uploaded image or get tailor-made recipes from a snapshot of your fridge? ChatGPT Plus has you covered.
If you’re on the hunt for a versatile content creation tool, look no further than Jasper AI. Known for its wide-ranging capabilities—from blog posts and social media quips to conversion-focused landing pages—Jasper leverages the power of GPT-3 to produce original, plagiarism-free content. Plus, it integrates seamlessly with Grammarly for that extra polish. Special shoutout to its stellar abilities in summarization and tone adjustment; whether you need to condense info or switch up the mood, Jasper delivers. Just bear in mind that for highly specialized technical content, you might want to look elsewhere.
Wordtune shines when refining text, offering real-time suggestions to make your writing crisp and compelling. Its browser extension feature lets you integrate it into your writing process with zero fuss. From emails and reports to social media posts, Wordtune enhances the quality and appeal of your written communications.
Midjourney is the go-to platform for a diverse audience, ranging from marketers to graphic designers, who seek to turn their creative visions into mesmerizing visual content. Compared to other platforms like Stable Diffusion and Dall E 3, it stands out for delivering the most aesthetically pleasing results. While it doesn’t offer a free version, its budget-friendly pricing tiers make it accessible to various needs and financial situations.
What sets Midjourney apart is its user-friendly interface, facilitated by a dedicated Discord server for each user. This unique feature makes navigation and project management a breeze. With Midjourney, you can produce incredibly realistic photos and captivating illustrations that would traditionally cost you thousands of euros to commission. Check out this latest feature to create zoom-out videos.
Adobe Firefly stands out as a powerful tool for transforming basic text prompts into eye-catching visual content. It blends effortlessly with Adobe’s comprehensive range of creative utilities, providing a cohesive experience for designers and artists.
One of the optimal ways to use Adobe Firefly is when you already possess the initial image and are interested in making modifications. For instance, if you want to change the background, this tool makes the process straightforward and efficient. By working with an existing image, you leverage Firefly’s capabilities to fine-tune your artwork, making it an excellent resource for iterative creative processes.
Runway’s Gen-2 model revolutionizes the way we approach video creation. Combining user-friendly features with high-quality output, Runway is the complete package for anyone seeking to translate text and images into enthralling videos. Just keep in mind that this platform performs best with a reliable internet connection and high-quality data inputs.
And there you have it—seven AI platforms that are transforming the future of marketing automation. Each offers something unique, but all are part of the vanguard shaping how businesses interact with their audiences in the digital age.