AI & Marketing
ChatGPT and other AI content platforms are just another set of tools for marketers to maximize their time. Using AI to generate content provides a quick launch pad for general content creation, helps alleviate writer’s block, and allows for rapid creation of general-interest material.
It can be used for rote tasks like creating new hire press releases, generating social posts out of longer content and other small tasks that prevent us from focusing on the big picture, and increase our productivity by being able to produce more content in a shorter period of time.
By using AI to generate content, we can easily create “listsicles” such as Five Ways to XYZ and other general interest materials to drive site traffic. However, all AI-generated content needs to be evaluated for correctness, clarity, cliches, tone, messages, and more.
The Right Approach to AI Content
When it comes to ChatGPT, many of us are excited, worried, and scared – often all at the same time.
However, ChatGPT and other AI content platforms are just another set of tools for marketers to maximize their time.
Of course, no matter how often or how well you can use AI tools for content creation, only you can
- Build Relationships
- Implement Strategies
- Improve Content
Don’t forget, we’ve faced “game-changing” tools before – remember life before marketing automation?
ChatGPT can only do what you tell it to do; it doesn’t think independently. Remember, garbage in, garbage out.
ChatGPT is Far from Perfect.
- The facts may be wrong – even when it gets “up to date,” you don’t know that the training materials it is learning from are correct. In addition, technology changes quickly. Information it learned previously may already be out of date.
- Security is a major issue. Any material you paste into ChatGPT becomes the property of ChatGPT for training purposes, so make sure you don’t put in any proprietary information.
- Potential copyright/plagiarism issues abound.
- You can’t copyright machine-generated text
- It may pull facts and figures from copyrighted material without citation
- It doesn’t cite sources unless you ask specifically.
- SEO algorithms may change to disregard ChatGPT-generated text.
- Redundancy and repetitive word choice are the norm…
- For example: “….dramatically reduce storage costs, as they are stored in one place and accessible in many others, so cloud costs are significantly reduced.”
What Does ChatGPT Think?
Our Perspective on ChatGPT
- It’s clean, but boring.
- It’s only “good enough.”
- The art of writing can be lost.
- Trust in writers may disintegrate.
- People may start to assume AI wrote any text, which may lead to veracity and credibility issues – significantly affecting your reputation.
- People who don’t have insights into the subject matter or good writing skills suddenly believe they can write – false assumptions lead to chaos.
- If your query leads to an error by ChatGPT, and you miss it – it’s your reputation!
Even ChatGPT itself warns of using it as the main content generator for an organization.
Privacy Issues: If you are pasting content into ChatGPT or any other AI tool – remember that content is NOW a part of the ChatGPT learning database. Therefore, consider strongly what you are adding and whether it will put your organization at risk as that information can be used to generate copy by anyone using the tool. In short, never divulge corporate secrets.” They will become part of the AI’s system.
After all that, though, tech like ChatGPT is the future, and we all must learn to adapt.
Moving Forward with AI Content
As with any marketing activity, strategy is key when using AI content-generation tools. You must clearly define your goal, purpose, and channels. You must clearly define your messages, fully understand your personas, and plan your content accordingly: topics, key areas of focus based on personas, etc.
At first, choose topic areas with which you are familiar so you can fact-check the information appropriately.
Prompts to generate content can be as simple as: Please write a blog about topic X or asking it to learn a longer piece of content and breaking it down into simpler articles.
They can be as complex as: here is a transcript from an interview. Please read and absorb the content. Let me know when you have by writing: Done. Then, please create an article of 800 words, a blog post of 300 words, and four social posts to promote it.
Based on which version of ChatGPT you are using or if you are using another AI tool, you may need to break the prompts into smaller chunks, asking it to remember the content from the previous request.
For example,
Prompt one: Based on the transcript from above, please create an article of 800 words.
Prompt two: Using the transcript and article from above, please create a blog of 500 words that uses the same concepts but does not repeat any of the text.
Prompt three: Based on the article and blog above, please create five social posts each for LinkedIn and Twitter.
Please note the dependence on cliched writing and simple text – but if you need something “quick and dirty,” AI is the way to go. Be aware, though, as you will be able to see from the samples below that the writing usually only scratches the surface; furthermore, to seem more comprehensive, the text is often redundant. As you may note, once the content has been fine-tuned, not much is left.
With ChatGPT, you need to make an effort to go beyond trite – Every blog it’s written for us contains something similar to: “The X of X has changed dramatically in recent years or “In today’s fast-paced business world”
You need to decide what is “good enough,” and what requires you to honestly evaluate and edit the material to transform it to useful and high-quality information.
Original Blog 1: Using AI for Automated Content Creation in Marketing
The marketing landscape has evolved significantly over the past decade, and businesses are constantly seeking ways to stay ahead of the curve. One of the most effective ways to do so is by leveraging artificial intelligence (AI) for automated content creation. AI-powered content creation can help businesses save time and resources while improving the quality and relevance of their content.
One area where AI can be particularly effective in automated content creation is social media. Social media platforms are an essential component of modern marketing strategies, but creating and managing social media content can be time-consuming and challenging. AI algorithms can analyze customer behavior on social media to generate personalized and relevant content for businesses. This includes text-based content like captions and tweets, as well as visual content like images and videos.
Another area where AI can be used for automated content creation is blog posts. AI-powered content generators can create blog posts on a variety of topics, using natural language processing algorithms to ensure the content is engaging and informative. This can help businesses create a steady stream of fresh and relevant content for their audience.
In addition, AI-powered content generators can create high-quality product descriptions that are tailored to individual customers. This includes analyzing customer data to suggest products that customers may be interested in and generating descriptions that highlight the unique features and benefits of each product. This can help businesses increase customer engagement and drive sales.
Finally, AI-powered content generators can create email marketing campaigns that are tailored to individual customers based on their behavior and preferences. This includes analyzing customer data to generate personalized subject lines, content, and calls-to-action that are more likely to convert. This can help businesses improve their email marketing effectiveness and increase their ROI.
Overall, the use of AI in automated content creation can help businesses create high-quality, personalized, and relevant marketing content more efficiently and effectively.
Blog 1: Using AI to Create Marketing Content (The edits)
Blog 1: Using AI to Create Marketing Content (After the edits)
No one can deny that AI has become the latest “buzzword” in marketing communications. Organizations are starting to leverage tools like ChatGPT to generate content quickly in their quest toward ever increasing efficiency.
One area where AI can be particularly effective in automated content creation is social media, which takes a significant amount of time to generate – sometimes writing shorter is much more difficult than writing longer. As long as the AI is tuned to analyze current social media trends, it can be used to generate personalized and relevant content, whether text, image, or videos.
If used correctly and well, AI-powered content generators can be used to create a steady stream of fresh blog posts on a variety of topics, using natural language processing algorithms, which may or may not be able to ensure the content is engaging and informative.
Product descriptions are another “quick-and-dirty” area for AI. If you are using AI within a secure platform (don’t forget that any proprietary data you put into an AI engine becomes “theirs” for training purposes), you can analyze your own customer data to generate descriptions that highlight the unique features and benefits of each product and suggest other products that customers may be interested in. .
Finally, AI-powered content generators can create email marketing campaigns tailored to individual customers based on their behavior and preferences. This includes analyzing customer data to generate personalized subject lines, content, and calls-to-action that are more likely to convert. Remember, though, this data is based on general information used to train the AI, and your customers may not be part of the mix.
AI for automated content is another tool in the quest to create high-quality, personalized, and relevant marketing content more efficiently and effectively.
Social Posts to Promote Blog 1: Using AI for Automated Content Creation in Marketing
As for the social posts, they are “good enough” but with significant room for improvement.
LinkedIn: Looking to save time and resources while improving your marketing content? Check out our latest blog post on how AI can be used for automated content creation in marketing.
LinkedIn: AI for content marketing – friend or foe? A little bit of both – check out our latest blog.
Twitter: Considering choosing AI to write your next blog? Check out our blog about automated content creation.
Facebook: Our latest blog post explores how AI can help automate content creation.
Blog 2: AI for Content Personalization in Marketing
Personalization is one of the most important factors in effective marketing, and AI is making it easier than ever to create personalized content for customers. AI-powered personalization tools can analyze customer data to gain insights into their behavior, preferences, and interests. This can help businesses create personalized content that resonates with their target audience.
One way that AI can be used for content personalization is through predictive personalization. AI algorithms can use machine learning to predict customer behavior and preferences, enabling businesses to create personalized content before the customer even knows they want it. This can help businesses increase customer engagement and loyalty by providing personalized content that meets the customer’s needs and preferences.
In addition, AI-powered content generators can create dynamic content that changes based on the customer’s behavior and preferences. This includes creating landing pages, emails, and product recommendations that are tailored to each individual customer. This can help businesses improve their customer experience and increase their conversions.
Chatbots are another area where AI can be used for content personalization. AI-powered chatbots can interact with customers in real-time and provide personalized recommendations and offers based on the customer’s behavior and preferences. This can help businesses improve their customer engagement and loyalty by providing personalized content and recommendations.
Overall, the use of AI for content personalization in marketing can help businesses create more engaging and effective marketing content that resonates with their target audience.
Blog 2: Personalizing Marketing Content with AI (The edits)
Blog 2: Personalizing Marketing Content with AI (After the edits)
AI is making it easier to create personalized content by analyzing analyze customer data to gain insights into their behavior, preferences, and interests.
AI algorithms can use machine learning to predict customer behavior and preferences to create personalized content to increase customer engagement and loyalty.
AI-powered content generators – well beyond what ChatGPT can do now – can create dynamic content that changes based on the customer’s behavior and preferences to improve the customer experience and increase conversion. Bring A/B testing to the next level to create landing pages, emails, and product recommendations tailored to each individual customer. This can help businesses
Chatbots are another area where AI can be used for content personalization. AI-powered chatbots can interact with customers in real-time and provide personalized recommendations and offers based on the customer’s behavior and preferences.
Create more engaging and effective marketing content that resonates with their target audience with AI-based personalized content.
Social Posts to Promote Blog 2: AI for Content Personalization in Marketing
LinkedIn: Learn about how to use AI to create more engaging and effective marketing content in our latest blog post.
Twitter: Personalization is key to effective marketing – but how can you do it at scale? Our latest blog post explores how AI can help with content personalization.
Facebook: Explore how AI helps create personalized marketing content that resonates with your target audience by reading our latest blog.
Blog 3: AI for Content Optimization in Marketing
Content optimization is essential to ensure that marketing content is as effective as possible. AI can help businesses optimize their content in a variety of ways. For example, AI-powered A/B testing tools can test different versions of marketing content to see which is more effective. This includes testing different headlines, images, and calls-to-action to identify the most effective combination.
AI algorithms can also analyze search engine data to identify keywords and phrases that are most likely to drive traffic to a website. This can help businesses optimize their content for search engines and increase their visibility online.
Content performance analysis is another area where AI can be used for content optimization. AI algorithms can analyze customer data to determine which types of content are most effective in driving engagement and conversions. This includes analyzing metrics like click-through rates, bounce rates, and conversion rates to identify areas for improvement.
Finally, AI algorithms can analyze customer data to create personalized content that is more likely to resonate with individual customers. This includes analyzing customer behavior and preferences to generate content that is tailored to each individual customer. This can help businesses increase customer engagement and loyalty by providing personalized content that meets the customer’s needs and preferences.
Overall, the use of AI for content optimization in marketing can help businesses create more effective marketing content that resonates with their target audience.
Blog 3: AI for Content Optimization in Marketing (The edits)
Blog 3: AI for Content Optimization in Marketing (After the edits)
Content optimization is essential to ensure that marketing content is as effective as possible. AI-powered – or not AI-powered – A/B testing tools can test different versions of marketing content to see which is more effective – headlines, images, and calls-to-actions, etc.
AI algorithms can also analyze search engine data to optimize content, identifying keywords and phrases most likely to drive website traffic.
AI algorithms – or your team – can analyze customer data, such as click-through and bounce rates, and conversion rates, to determine which types of content are most effective in driving engagement and conversion.
Furthermore, individual customer data, such as behavior and preferences, can be analyzed to create personalized content that is more likely to resonate.
Create more effective marketing content that resonates with your target audiences with content optimization.
Social Posts to Promote Blog 3: AI for Content Optimization in Marketing
LinkedIn: Optimize your marketing content for maximum effectiveness. Learn how AI can help. (After the edits)
Twitter: Don’t waste time on ineffective marketing content – use AI to optimize your content for maximum impact. Check out our latest blog post for more.
Facebook: Want to get the most out of your marketing content? Our latest blog post explores how AI can help optimize your content for better engagement, conversions, and ROI.
Blog 4: Overcoming Challenges in AI-Powered Content Generation
While the benefits of AI-powered content generation in marketing are significant, there are also some challenges that businesses need to overcome. Here are some of the most common challenges and how to address them:
Lack of Human Touch: AI-generated content can lack the human touch that customers value. To address this, businesses can incorporate human input into the content generation process, such as having a human editor review and edit the content generated by AI algorithms.
Data Quality: AI-powered content generation relies on high-quality data. Businesses need to ensure that their data is clean, accurate, and up-to-date to ensure that the content generated by AI algorithms is relevant and effective.
Bias: AI algorithms can inadvertently produce biased content. To avoid bias, businesses need to carefully consider the data sources and algorithms used in content generation and ensure that the content produced is fair and unbiased.
Lack of Control: AI-powered content generation can result in content that does not align with a business’s brand voice or messaging. To maintain control over the content generated, businesses need to set clear guidelines and quality standards for the AI algorithms to follow.
Integration: AI-powered content generation tools need to be integrated with existing marketing and sales processes to be effective. Businesses need to ensure that the tools are compatible with their existing systems and processes and that employees are trained to use them effectively.
By addressing these challenges, businesses can reap the benefits of AI-powered content generation while maintaining control over their content and ensuring that it is relevant, effective, and aligned with their brand messaging.
In conclusion, AI-powered content generation offers a range of benefits for businesses looking to create effective marketing content, from automated content creation to personalized and optimized content. However, businesses must also be aware of the potential challenges of using AI-powered content generation and take steps to address them to ensure that the content generated is high-quality, effective, and aligned with their brand messaging.
Blog 4: Overcoming Challenges in AI-Powered Content Generation (The edits)
Blog 4: Overcoming Challenges in AI-Powered Content Generation (After the edits)
AI is simply another tool in your content arsenal. While it’s a way to generate “quick-and-dirty” content, many challenges remain with regard to quality and depth.
Lack of Human Touch: AI-generated content lacks the human touch, so it’s critical to have a human editor review and edit the content generated by AI algorithms.
Data Quality: Effective AI-powered content generation relies on high-quality data, so the data must be clean and up-to-date. If the data is proprietary, it’s critical to check the terms and conditions of the AI platform you are using to ensure that the data does not become part of the training database.
Bias: AI algorithms can inadvertently produce biased content because they are using pre-existing content as the learning curve. To avoid bias, the person using the solution needs to ask for citations about the data sources and algorithms used in content generation. They also need to ensure the content produced is fair and unbiased.
Lack of Control: AI-powered content generation can result in content that does not align with a business’s brand voice or messaging. The AI algorithms can be trained, but the content should always be fine-tuned to ensure it takes the right tone and reinforces corporate messaging.
Integration: AI-powered content generation tools need to be integrated with existing marketing and sales processes to be effective. The tools must be compatible with existing systems and processes and that employees are trained to use them effectively.
By addressing these challenges, businesses can reap the benefits of AI-powered content generation while maintaining control over their content and ensuring that it is relevant, effective, and aligned with their brand messaging.
Social Posts to Promote Blog 4: Overcoming Challenges in AI-Powered Content Generation
LinkedIn: Using AI for content generation creates both benefits and challenges. Our latest blog post provides a quick analysis. (After the edits)
Twitter: AI-powered content generation offers significant benefits – and challenges. Our latest blog post explores how to address the challenges to create effective marketing content with AI.
Facebook: Our latest blog post explores common challenges of creating marketing content with AI and how businesses can overcome them to create high-quality marketing content.
The Next Steps for Your Content
- REVIEW everything created with a very critical eye – Ensure the end results really represent your messages.
- Make sure you revise the content appropriately to reflect your company’s voice, tone, and style.
- Use ChatGPT as a tool to accelerate your timeline; don’t let it replace your creativity.
Marketing Beyond ChatGPT
Increase your focus on
- Corporate data – proprietary to your organization to generate news
- Sales-enablement content – highly specialized content & spreadsheets to demonstrate your value
- Account-based marketing – customized & personalized content
- Product marketing
Other AI Content Tools
- Copy.ai
- Copy.ai helps to outline and plan content with just a few simple questions. Instead of wasting time scouring for ideas, simply plug in your wants, needs, aims, and goals into Copy.ai’s system, and watch it build your blog for you.
- Chatsonic
- Chatsonic has a very similar user experience to ChatGPT. Aiming to outperform the popular AI, Chatsonic’s real-time capabilities makes it a fierce competitor.
- YouChat
- YouChat is an AI assistant and a search engine all wrapped up in one. Its real-time capabilities provide users with more up-to-date information and has an easy method for verifying any information provided.
- Chatspot.ai
- This allows you to use AI with your HubSpot activities.
- Copymatic.ai
- Allows you to generate content from blog posts to digital ads
- Nichesss
- Nichesss helps you plan and outline your long form content and even fill in any content blocks. Simply feed their AI minimal information – such as a blog title and a brief description for example – and watch the AI respond back with potential content options.
- Jasper.ai
- Another content tool for blogs, social media, websites, etc.
- Bard by Google
- Right now, you can join the waiting list
- Chinchilla Chat
- Still “under wraps”
- Many other tools – Just ask Google or Microsoft Bing
To learn more about ChatGPT and other AI-focused topics, we invite you to download our guide or watch our videos.