Generative AI in Content Creation & Marketing – Use Cases & Benefits 

In a world where content is “king” and marketing is continuously changing, businesses are relying on innovative tools to stand out from the crowd.  

That’s why they are opting for Generative AI to transform their marketing strategies and to develop content that ranks high. 

Think like you’ve got a real-time device from which you can create compelling content, eye-catching visuals, and engaging videos just by entering a prompt. 

This is generative AI, a new era of technology that can serve audiences better than ever, maximize growth, and multiply your revenue by 10X. 

Additionally, it can also cut production costs by doing repetitive or mundane tasks. 

In this blog, we will investigate use cases of generative AI and how its benefits for the marketing and Content Creation. 

But first, the question, which is compulsory to answer is, 

What is Generative AI? 

Generative AI is a machine learning tool that generates content whether it’s visual, audio, or text-based no matter what you want, just write your prompt and it gives you unique and fresh content. 

Its AI-based algorithm is trained in a way that it can possess large amounts of data and generate content that synchronizes with real-time data. 

The most popular generative AI tools are ChatGPT, Gemini, Dall-E, and Claude.  

They work by learning patterns and are fully structured from a large database and then give something new as per your prompt. 

Most industries tend to use this technology to create content and visual characters, images, and audio for their marketing purposes, especially in the advertising and marketing industry. 

According to a report by Statista, 73% of marketers are already utilizing artificial intelligence in their repetitive marketing tasks. 

Let’s see how Generative AI can be used in Content Creation & Marketing. 

Use Cases for Generative AI in Marketing and Content Creation. 

1. Text generation: 

Text or content generation is the most used case in generative AI which is processed by large existing datasets that are trained to learn the patterns and data of preexisting content. 

They tend to give new or unique text similar in style, such as articles, blogs, scripts, or any other written material. 

AI and machine learning can be used to generate different texts like: – 

• Content creation – Creates content like articles, essays, social media posts, blogs, product descriptions, emails, etc. 
• Creative writing – Generates ideas for stories, writes songs, poetry, plays, and screenplays. 
• Summarization – Analyze the text and its meaning and then extract long pieces of content into a shorter one. 
• Proofread – Helps you edit and identify errors and suggests grammatically correct ways to write. 
• SEO – Analyze trends and suggest relevant keywords based on your content to get a higher rank on the search engine. 

2. Image creation: 

AI algorithm scans millions of existing images and analyzes them to create a new realistic and visually stunning image.  

Based on the prompt written by the user it generates high-quality images without much effort. This makes it a valuable tool for designers, creators, and students.  

With the help of AI and machine learning image creation can be done in different types: – 

• Product image – Creates a high-quality realistic image of your product that can be used for online stores, websites, social media marketing, or brand marketing. 
• 2D and 3D image – Create an image based on your prompt whether you want generic images, sketches, or 3D models for games and animation. 
• Creative Ads – Craft visually stunning images like brand images, and banners by studying users’ prompts, in this way businesses can make sure that their brand stands out from the crowd. 

One of the best examples of creative ads generated by AI is “Heinz ketchup”. 

• Visual branding – By simply describing your product features and design, it creates compelling images, logos, or even designs that resonate with your brand. 
• Post images – Creates customizable and engaging posts for all types of social media platforms and ensures that your post resonates with your targeted audience, saving your time and effort. 

3. Audio creation: 

AI can make audio for a variety of purposes, it can be used for voice creation, and it can generate human-like Speech, an artists like music, background score, etc.  

It can also recreate existing music or songs by changing music composition.  

• Promotional music – Generative AI used in creating music for marketing ads, and product background score that targets specific audiences, increasing the effectiveness of the brand. 
• Speech generation – Generative AI can produce human-like speech with a variety of accents just by written instruction. You can utilize this speech for virtual assistants, voiceovers, audiobooks, etc. 
• Dialog generation – Generative AI is also capable of generating realistic dialogs between 2 or more characters which can be commonly used in storytelling and animated videos. 
• Audio Translation – Generative AI can also translate spoken language into various other languages while maintaining the original voice tone and accent. 
• Special effects sound – Generative AI is being used more and more for special sound effects, especially for films and virtual reality experiences. 

4. Video creation: 

AI is transforming the way of creating videos by automating the entire process, all you need is to write a simple prompt that outlines the video structure and wait for some time.  

That’s all, your video is generated, and you can also add music, sound, and text to your videos. 

With the use of Generative AI, here are the types of videos we can create: – 

• Social media video – Many industrial sectors employ Generative AI to create visually compelling videos such as shorts, clips, animation, and tutorial videos across various social media platforms for their brand awareness. 
• Product demos – AI can also render excellent product demos for brands to use in marketing campaigns, which boosts sales and engagement towards their brand. 
• Virtual tours – AI can automate virtual tours of any type of travel destination, real estate property, hotels, etc., providing real-time experience to potential customers. 
• Educational videos – AI can be used to create interactive learning videos like simulation videos, and animation explanatory videos for training and educational purposes. 

5. SEO: 

Using generative AI for content optimization can help you create high-quality content, an effective SEO strategy, and relevant keywords—all of which are important factors in getting ranked in search engines and provide a comprehensive user experience as a result. 

Companies are extensively using AI to create better user experience, here are some applications that can be implemented to Improve SEO: – 

• Generate ideas for blog topics, articles, product descriptions, and other content creation for marketing purposes. 
• Provide a suitable SEO strategy and identify gaps in your approach and solutions to fill them. This helps you stay ahead in your game. 
• By analyzing search trends and user behavior to find some relevant keywords and phrases for your content optimization. 
• Generate meta tags and meta descriptions for your web pages ensuring that they are fit for search engines and attract clickbait’s. 

6. Chatbots/customer service: 

In marketing, customer support plays a significant importance, which is why companies now implement generative AI chatbots to enhance customer experience.  

Call centers often use AI-powered chatbots to handle client queries. 

Using generative AI for customer service can help you in many ways: – 

• Personalized touch – Automated or personalized emails can be sent through generative AI to customer inquiries, freeing up the human agent. 
• Multi-language support – It offers multilingual support to provide fast responses to clients’ queries, making them more effective communicators for customers worldwide. 
• 24/7 service – Provides faster and 24/7 service response to every client’s frequently asked questions or inquiries. 
• Feedback management – By asking specific questions and analyzing customer preferences, it can collect tons of customer reviews for every product. 

Using generative AI as a conversational assistant boosts customer support agent productivity boost by an average of 14%. 

“Keep in mind that you can only take full advantage of generative AI by entering the right prompt. Only then will it give you the desired result.“ 

Benefits of Generative AI in Content Creation & Marketing 

Let’s discuss some of the best benefits of Generative AI in marketing and content creation: – 

1. Personalized Content Creation: 

Marketers can now personalize content using generative AI making it possible for them to do so on a large scale for products and increase engagement as well as conversion. 

For instance – Netflix employs an AI algorithm to create personalized movie and TV show recommendations based on viewer’s past viewing history. 

2. Cost-effective: 

By automating content generation and repetitive tasks in marketing, businesses can cut down the costs and accelerate the marketing and content creation process without adding operational costs. 

For instance – The AI-powered tool HubSpot helps to recommend topics that are relevant to the business and shorten the writing process, thus saving time and resources. 

3. Increased Engagement: 

Generative AI-powered platforms produce content of diverse nature and mostly personalized, to keep audiences at the edge of their seats, which results in higher engagement. 

For instance – Adidas utilized AI to create personalized email campaigns, hence the click-through rate being 2.5 times higher than normal. 

4. Improved Customer Engagement: 

Through generative AI consumer’s needs and preferences are predicted efficiently by marketers, which in turn leads to a smooth and customized experience for customers. 

For instance – Sephora has developed a virtual assist app incorporating AI technology, which provides suggestions on makeup that looks most suitable to one’s photos. 

5. Targeted advertising: 

An AI algorithm can analyze customer data to determine which customers are the best fit for a particular advertising strategy. 

For example – AI in the Facebook ad platform can make the ad campaign efficient and accurate by tracking user’s browsing history and preferences. 

6. Data-driven insights: 

AI-powered analytics value the perception of customer experience and give meaningful insights to organizations which in turn help make strategic decisions.  

For example – Starbucks uses AI to analyze customer data and improve store placement to make maximum use of customer foot traffic. 

Overall, with this generative AI technology companies can enhance customer experience get more conversions, and lead to higher ROI. 

To Sum Up

Generative AI has taken the lead in marketing and content creation. It simplifies tasks by automating routine operations and gives us a chance to think creatively and prioritize other important tasks. 

By integrating AI in marketing and content creation companies can streamline workflow, improve customer engagement, and maximize significant growth. 

According to Statista, the market size of Generative AI is expected to reach 22 billion dollars by 2032. 

At BigOh, we create immersive and tailored generative AI tools for specific businesses. Our engineers built data-driven models that can help you to manage your business efficiently. 

As Generative AI has the potential to grow vastly soon, our Generative AI experts know how to build an AI that delivers measurable results and unlocks opportunities for businesses of all sizes. 

To unleash the full potential of your brand. Get in touch with us to build your AI.