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Better, faster digital experiences built with generative AI.
Today, enterprise marketers are tasked with continually delivering engaging and personalized digital experiences across multiple channels. To attract, convert and retain customers, your marketers must present relevant content, in an optimized format, no matter how customers want to access information or make purchases.
That means personalizing and optimizing digital content, creating consistent digital experiences at every moment of the customer journey, and giving marketers ways to repurpose content and manage all experiences from one place.
But in a rapidly moving business, it can be difficult to keep up with user expectations, let alone the competition.
Generative AI can change that. With the rise of generative AI technologies and their integration into content management systems and digital experience platforms, we are on the cusp of a transformative leap in the speed and scale of personalized content creation for marketers. and editors.
So how can generative AI complement marketing teams and drive better, faster digital experiences at scale today?
Generative AI for content creation
Integrating a generative AI model into your content management system or digital experience platform allows you to optimize content production and save valuable resources. Here are some examples:
Writing marketing texts: While apps will differ in their user interface (UI) and results, most can be used to generate blog headlines, meta descriptions, alt text, or full text and landing pages.
Summarizing videos or website data: Generative AI tools, such as ChatGPT and Copy.ai, mine publicly available data to improve their text generation capabilities. You could use them to summarize talking points for a podcast or compose a TLDR for a blog post.
Develop content summaries and outlines: Some apps offer templates aimed at marketing teams, while others require you to ask language models to deliver one, either based on your company profile or competitors' brand choices.
Brainstorm: Every marketer has gone through a creative block. Especially in remote teams where a colleague is not always available, exchanging ideas through AI technology can be a great starting point.
Reuse of text for social networks: Simply feed your blog copy into generative AI algorithms and request a LinkedIn post or Instagram title based on your content.
Analyzing competitors: Whether you're analyzing a competitor's choice of words in headlines, their use of technical jargon, or all their stylistic preferences, a machine learning model does mass easy analysis.
It's critical that generative AI capabilities are seamlessly integrated into the platform your teams use to create content. This accelerates the AI training process and makes content generation and optimization scalable when AI tools remain available with the unified user interfaces and editorial workflows that teams already use daily.
So how can these text creation programs help you in your daily editorial work?
- Automatic generation of components (text, images or a combination of these) and even entire pages
- Automatic generation of component variants for customization.
- Automatic generation of metadata and image description (SEO and OG) to optimize content before publication.
- Automatic generation of image descriptions based on image tags.
- Automatic tagging and text classification for better searchability
Generative AI for images and logos
AI image generation tools can be helpful in the content creation process. Sometimes they can simply help convey a rough idea or they can help editors generate images that meet brand standards without getting stuck in a graphic designer's ticket queue.
Sample use cases include automatically generating new images during operation, modifying existing images, and automatically recognizing and indexing images for better searchability.
AI translation tools
AI translation gives you access to markets that would otherwise be out of reach, but it's important to prioritize your needs to find the right solution for your strategy. Without a doubt, the quality of the translation is important for everyone. However, you should evaluate whether it is worth investing in a more accurate translation. Maybe start with a rough translation to understand the demographics and invest in fine-tuned localization after you've collected some data.
These considerations are important because it is easy to become obsessed solely with language support and quality. While it's nice to have a tool that can theoretically translate content into 30 other languages, you may want to choose a different solution because it integrates better with another tool or offers the workflow your team needs, whether that's a customizable user interface or SEO features.
Add Generative AI to Your Digital Delivery Workflows
The AI genie is out of the bottle. Generative AI will continue to shape the digital landscape and transform the way we do business, regardless of the industry.
Gone are the days when marketers could reach thousands of customers with the same message. Contemporary audiences increasingly seek personalized experiences that resonate with their individual preferences and past commitments. The omnipresence of digital marketing platforms in all of our lives has only catalyzed this transformation: 26 percent of customers already use five or more unique communication channels during their shopping experience.
We can already see how models like ChatGPT allow marketers to generate personalized content in seconds, giving a magic wand to those who were previously excluded from the creative process and streamlining the workflows of content production teams.
And this capability becomes even more powerful in combination with the detailed data sets that power modern marketing technology. Empowered by sophisticated analytics tools that leverage automation and artificial intelligence, marketers can meticulously track the behavioral patterns and purchasing trends of each customer segment and relate them to business interactions and online interactions. social. They can then extract useful insights from all that data to inform future personalized strategies and generate content directly engaging for these segments.
Find out how your team can start using AI
Magnolia provides a composable digital experience platform, designed for your real-world needs and ready for AI today. With a track record of 100 percent project success and more than 450 enterprise customers, Magnolia is the platform of choice for leading companies including American Express, JetBlue, The New York Times, CNN, Sanofi, Sainsbury's, Generali and Ping An.
Learn more about generative AI and how you can start incorporating it into digital delivery today and be prepared to adapt as technology continues to evolve.
