Artificial intelligence is growing in prominence, and marketers are taking notes on how to leverage this technology for content generation. But with so many options and prompts out there, it can be difficult to know where to start. This post will explain the benefits of incorporating AI into your content generation process and share some of our favorite platforms that we’re exploring at Seer.
(And yes, we used Jasper to assist us with this blog post.)
Benefits of Using AI for Content Creation
Automated Content Generation Saves Resources
Perhaps the most obvious benefit of this technology is that it’s quick and low effort. After inputting your prompt, AI will automatically generate the content. This automation can save significant time for businesses and professionals.
Tools to Try:
ChatGPT by OpenAI is a free and user-friendly chatbot where you can input details about the text-based content you’re looking for, and it will deliver a draft back to you. If any updates are needed, you can continue the conversation until you’re satisfied with the output.
DuetAI by Google can be used across their platforms, including Google Docs and Sheets. Ask it to help you write about a topic in Google Docs, and it will generate a draft instantly.
Diverse Content Types Enhance Assets
AI can produce a variety of content forms, including text, images, and videos, offering a richer content mix at your fingertips. This will reduce the effort required to source relevant, high-quality images and videos for your site.
Tools to Try:
Midjourney is currently one of the most popular and successful AI image generators.
Picsart.com is a free tool that’s great for simple image and GIF generation.
DALL·E by OpenAI is another popular realistic image generator. Folks at Seer have been playing around with DALL·E’s capabilities by creating SupernovaTM concept art:
Personalized Content Better Connects with Your Audience
AI can tailor content based on individual user preferences, making it more relevant and engaging.
Tool to Try: Jasper is a Seer Marketing team favorite since you can train the tool on your business’s tone/voice based on existing content. This allows for additional personalization and fewer manual revisions:
Pro Tip: Don’t be afraid to try different prompts until you get your desired outcome. You may need to tweak your prompt several times until you get the quality, tone, length, and content you were looking for.
Real-World Applications in Marketing
The content creation possibilities for generative models are endless. As marketers, we can leverage AI to get a head start on:
- Website copy
- Product descriptions
- Blogs/articles
- Social media posts
- Email newsletters
- Ad copy with strict character limitations
- Infographics
- Custom imagery
- Slogans
And that’s just scratching the surface. Use this technology as your thesaurus, solution to writer’s block, proofreader, and brainstormer.
Risks of AI-Based Content Creation
Quality Control
While AI can generate vast amounts of content quickly, controlling the quality of that content can be challenging. Sometimes, AI-generated content might lack depth or nuances of human writing (check out our AI vs Human Written Meta Descriptions test). Using the P-A-R-S approach is key in mitigating low-quality outputs within your workflow.
When it comes to images and videos, be sure to examine them closely before using them in your marketing materials.
Pro Tip: Despite how intelligent it is, make sure you’re QA-ing all AI-generated content before it goes out into the world. You’ll want to check for tone, consistency, accuracy, and of course, adding that human flair that AI can’t quite replicate (...yet?).
Unoriginal Content
AI models learn from existing data and can inadvertently mimic content that already exists, raising concerns about plagiarism. Try pasting AI-written copy into Google to check if it already exists somewhere on the web. Again, this is a downfall P-A-R-S can help avoid.
Data Privacy
AI requires large amounts of data for training, which potentially opens up concerns around data privacy and security. Don’t put anything in an AI chatbot that you wouldn’t want the general public to know.
Ethical Dilemmas
AI can generate biased or inappropriate content if the data it was trained on contained such biases to begin with. This issue requires constant monitoring and ethical considerations.
Conclusion
The potential of generative AI is vast. Soon, artificial intelligence tools might craft most of our written or visual content, revolutionizing the world of content consumption.
Your initial reaction might be to fear the unknown, but as marketers, we must evolve with the industry. Identifying small ways that AI can eliminate friction will have a big impact.
Be aware of the challenges, but embrace the benefits, because one thing is for sure: AI is here to stay.
