• Bionic Marketing
  • Posts
  • Issue #25: Full Campaigns with ChatGPT, Dall-E 3 tutorial, Latest Tools

Issue #25: Full Campaigns with ChatGPT, Dall-E 3 tutorial, Latest Tools

Good morning.

It’s been a minute.

But the Age of AI marches on—no, not marches, that’s too slow.

The Age of AI is going to the moon and back by the time you’ve taken a sip of coffee.

Or something like that.

Bionic Marketing took a quick break to handle the influx of opportunities, tool developments, requests, investing pitches—and more.

But now we’re resuming regularly scheduled issues, more prompt sharing, and more tutorials.

So, let me get you up to speed on what’s important with AI for marketing and copywriting.

First up this week is an update on ChatGPT Plus and DALL-E 3 coming together:

As you’ve probably seen, DALLE-3 is now available to all ChatGPT Plus users

For marketers and content creators, this is a huge plus for your marketing image generation and content writing.

Creating marketing content with ChatGPT is common amongst marketers, and with the combination of DALLE-3 marketers can now create their content and optimize images to fit that content as well.

You can quite literally have a full campaign produced, with text and images, inside ChatGPT.

It remains to be seen what all the other marketing tools built on top of GPT-4 will do. I don’t think they’re “destroyed!” as the usual hype goes.

But it does mean we’re quickly getting to the place I’ve predicted for a while:

AI is not an unfair advantage or selling point on its own.

Instead, it’s your unique thing (whatever that is) + AI and ML tools.

Anyway, to go along with this, in today’s issue I’ll actually show you how to use a combination of ChatGPT and DALLE-3 to generate AI images that are exactly what you need for your marketing campaigns.

Alright then, to the good stuff!

In today’s issue:

  • Full marketing campaigns with DALL-E 3 and ChatGPT Plus.

  • Generative AI and ChatGPTs learning capabilities.

  • 13 facts and statistics about AI’s impact on marketing.

  • Common uses and tactics for Generative AI

  • AI funding nears $12 Billion in the past 3 months.

Let’s dive in.


In the last issue, I mentioned that ChatGPT traffic is slowing down and downloads on iPhones in the U.S. were down 38% month over month in June.

Looking ahead, it’s a good idea to see what’s up and coming that will be better than ChatGPT.

(For the record, I mostly use Claude 2 for copywriting and general writing. ChatGPT has a tendency to become filled with jargon, passive voice, and goes off the rails pretty quickly. The desire to not produce “offensive” content is crippling ChatGPT via the web. So, it’s either GPT-4 via API or Claude for best output).

As generative AI keeps surpassing human knowledge and continually proves itself by doing tasks such as winning chess or labeling cats and dogs, other forms of generative AI are taking the lead against ChatGPT

While ChatGPT became the fastest-growing software program in history this year, it inspired an almost pandemic of other software programs, AI, and machine learning to be invented and studied for their uses and capabilities.

With the capabilities of Generative AI being pushed further and further, many people and companies are finding their own ways to use and integrate AI to their advantage against their competitors.

Before ChatGPT, old AI programs mainly ran off of zeros and ones to label and learn different scenarios, while ChatGPT and many others can produce “Mirrors” of inputs given. It actually learns like a person would from the inputs given.

This learning model becomes useful for marketers when these programs can actually learn in more ways than just number combinations, bringing different possibilities to useful outputs that can produce results on their own.

You can call this a form of machine learning because as a program like ChatGPT learns the different inputs you give it, it can also lead to bringing you marketing material that stands for itself.

This alone shows how AI can change the marketing game and how marketing teams are set up in the future.

In fact, nearly Half of CEOs believe that AI SHOULD replace their own jobs.

If AI can replace a CEO, then there should be a significant shift in the way marketing teams work with AI, ML, and LLMs in order to compete in their market successfully.

AI alone can reduce marketing costs, time to finish products, and costs per lead. Companies won’t keep up with their competition if they can’t find ways to integrate AI into their businesses, just because of costs and volume alone.

Customer support chatbots are a perfect example of how AI has been changing a whole sector of online business.

From being glitchy and pretty much useless to today running entire customer support systems.

Some more examples are automated AI product suggestions on the website, instant customer support access 24/7, and a decrease in customer support team costs.

Now circling back to marketing and content creation, here are two ways I’ve found to use ChatGPT prompts to save your time and improve your content for your marketing channels:

The first one I’ll talk about is a form of prompt that can actually map out plans for you in relation to what your goals are.

The example shown below is a prompt you can use in ChatGPT or GPT-4 that will give you a content creation guide for a certain amount of time.

Now as you play around with this prompt, you could insert different variables and timelines that plan out your marketing strategy.

For example, if you wanted to create a monthly guide for running your Facebook ads, you could easily describe your company, what you sell, and your target customer, and from there adjust the prompt until it is giving you desirable results.

Now this prompt goes great with the next prompt as this one actually creates the visual content for your marketing with a combination of GPT-4 and DALLE

Here are some simple steps before I break it down:

1) Upload your photos or content you’d like GPT-4 to see and have GPT-4 describe their style.

An example prompt would be: “Generate an image similar to this one and describe a prompt I would input in DALL-E to get a similar photo.”

2) Once you’ve received the prompt GPT-4 gives you, it’s easy to go straight to DALL-E 3 and copy-paste that prompt directly.

3) If needed, prompt DALL-E 3 to modify aspects like spacing, color, text, style, etc...

It’s really that simple. Since ChatGPT Plus users now have access to DALL-E 3 this is a great way to generate images for your marketing campaigns with context without paying an expensive editor to do it for you.

On top of that, this prompt can be used for any visualizations. If you use the first prompt to create a content plan, and the second prompt to turn it into a visual to understand it better and send it to your marketing team.

Here are 13 facts and stats about AI to help you see how, despite the hype dying down, in the “real world” outside of gurus and hustlers, Generative AI is having quite an impact:

  • Chat GPT reached 100 million users faster than any other app. By February 2023, the chat.openai.com website saw an average of 25 million daily visitors. How can this rise in AI usage benefit your marketing approaches?

  • 45% of executives say the popularity of ChatGPT has led them to increase investment in AI. If executives are investing in AI personally, then how will their beliefs affect corporate investment in AI to further drive automation? Also, how will this affect the amount of workers hired to manage AI systems within companies?

  • eMarketer predicts that in 2024 at least 20% of Americans will use ChatGPT monthly and that a fifth of them are 25-34 year olds in the workforce. Does this mean that there are more young workers using AI?

  • eMarketer also predicts that more than half of all Americans aged 12 to 44 will use generative AI by 2025. If that many people in a young audience are going to be using Generative AI, think about how AI could use that data to create targeted campaigns for certain markets.

  • The global AI market size is expected to be worth $407 billion by 2027. That’s a compound annual growth rate of 36.2% from 2022. If the AI market is growing by 36.2% annually for 5 years, thinking of who’s investing in it might be a great way to further develop your AI marketing campaigns and choose the software you use.

  • 52% say they are concerned about having AI used to help target advertising to consumers. If some people are concerned about AI targeting, would that be because AI is better or worse at targeting consumers?

  • More than 100 million people in the U.S. are said to be using generative AI by 2024. By 2025, that number is expected to reach 116.9 million. That’s about a third of the US population for scale.

  • 49% of CEOs say that AI can replace their jobs and is actually a preferable way to develop a company. If CEO's jobs can be done by AI and they think AI is a preferable way to scale, what does the future of big corporations' corporate ladder look like?

  • GPT-3 was originally trained with 45 terabytes of data and employed an original 175 billion parameters or coefficients to make its predictions. Think about how much data and research that brings to your marketing research and campaigns.

  • 28% of U.S. adults said their employer is using ChatGPT or similar chat-based tools within their business. 19% said their employer is using AI image generators, 30% said their employer is using AI for data analysis, 21% said the employer is using AI tools for video generation, and 17% said their employer is using AI for HR and recruiting. Would it be optimal to use an AI-generated resume if AI is the one analyzing it?

  • 49% of employers expect AI to have a positive impact on job growth. By contrast, only 23% expect the impact of AI to be negative on jobs in the US. On the other hand, only 38% of U.S. adults think AI will improve corporate job opportunities, while 42% think AI will reduce these opportunities. For blue-collar jobs, 37% think AI will improve opportunities and 46% think they will take away opportunities. How will AI’s use in your marketing efforts translate to decreased or increased jobs?

  • 66% of global adults say AI products and services will become a part of their lives in the next 3-5 years. Is this good for the consumer economy?

  • 34% of companies currently use AI, and an additional 42% are exploring how they can use AI in their business. 1 in 4 companies are also integrating AI because of physical labor and skill shortages. Is this a sign that AI is actually the better alternative to scaling?

With the amount of information available, it’s something that your marketing team should consider when using AI.

Beyond the hype of the past 11 months or so, there’s a reality that’s unfolding quickly.

Stop chasing prompts. Stop chasing tools. Roll up your sleeves and use what’s already available.


Since Generative AI is becoming so popular, I’m going to do a breakdown of some tactical uses of different forms of generative AI.

To put generative AI in simple terms, imagine this:

You have a big box of crayons and a blank sheet of paper. You’re drawing anything and everything on that paper. Now, imagine your crayon box is actually watching you draw, learning how you make your doodles, and eventually drawing all by itself.

The more you and the box draws, it gets better and better, learning from you and its own work. It might even surprise you with drawings that are better than your own.

Generative AI is that crayon box. It learns from what it sees, and the more it learns, the more it produces on its own.

Just like you can create endless drawings with your crayons, generative AI can create endless forms of content on its own.

Think about how powerful this can be if it’s a marketing agent instead of a crayon box. This is why so many companies are adopting some form of generative AI into their industries.

Just to show some statistics between industries, I’ve provided a few different statistics

Rates of generative AI adoption in the workplace in the United States in 2023, by industry:

Generative AI Prediction

How big companies are leveraging generative AI

Content Creation:

Generative AI is changing the game with marketing content generation. Even tools like OpenAI's GPT-3 can draft articles, create engaging headlines, and even generate creative writing pieces for marketers and writers in any niche. As I said before though, there are many other forms of AI that are excelling ahead of GPT-3 and GPT-4 that can be used in a similar fashion.

Example: Brandfolders' Content Automation. Getting content to market faster than before at scale.

Business Impact:

  • Accelerating content creation times

  • Reduces workload on creative teams

  • Innovating with AI ahead of human knowledge


Chatbots powered by Generative AI are enhancing customer service by providing more natural and contextual responses to lessen the need for physical customer support workers.

Example: Chatbot, a chatbot that can hold conversations and suggest products to customers who don’t want to search all over for what they need.

Business Impact:

  • Improved customer satisfaction and closing rates

  • Reduced response time and 24/7 service

  • Saves money and time in the customer service industry

Design and Media:

Generative AI is being used heavily in design, as it is a cheaper and more efficient option than an actual production and editing team.

Example: DALL-E 3, allows anybody to create AI-generated images that change based on feedback over time. Remember the crayons? This is a prime example of that learning box.

Business Impact:

  • Accelerated design process and less lead time

  • Lowered costs in design and production teams

  • Creatives easier to bring together with AI by anyone, rather than just a designer

Future Predictions:

With the ability to analyze different types of large datasets, Generative AI aids in market forecasting by generating insights into market trends, consumer behavior, and competition.

Example: Promethean AI is used in asset management, and helps to predict market trends with a leading standard of accuracy.

Business Impact:

  • Improved marketing campaign results

  • Risk mitigation through better forecasting

  • Enhanced understanding of future market trends

Now let’s see who’s tossing money around for AI, which is still very much happening (and not slowing down much).


$10M: Four technology companies involved in artificial intelligence (AI) development announced a new funding initiative. This funding initiative is aimed at AI safety research and is called the “AI Safety Fund”. This initiative is led by Google, Microsoft, Anthropic, and OpenAI.

$17.9B: Multibillion-dollar investments in AI startups have become a common theme amongst Silicon Valley investors. The amount of money raised for AI companies outpaces funding totals in every other category of tech and is reaching $17.9 billion in the third quarter.

$11.7B: AI company funding in the last 3 months has totaled over 11.7 Billion dollars. What will this look like going into the holiday season?


🤖 Claude.ai is a writing tool AI that can take blogs and marketing content and create a copy in the same style with different research input. With Claude, marketers are saving time creating new campaigns by using old templates and new information input in Claud.

🤖 Another AI platform that is advancing the customer experience is Replika, a chatbot that holds incredibly human-like conversations with customers. Generative AI chatbots are advancing at a rate of what seems to be like every day, and this is no exception.


I’ve been talking about position and perspective often on my X recently.

And I’d like to dive into it further, as this newsletter has been heavy on how AI is seen and used for the future.

In the next decade, AI is going to become a lead producer in creative content, no matter how creative you think it is.

As AI is testing into the top 1% of creativity amongst humans, you will no longer have that advantage over AI-generated content as you did in the past.

In this issue, we talked about how Generative AI learns from what it does and what you give it as inputs and feedback. In the end, it will be taking all this advice and generating content more creative and at scale than a human could ever do.

What AI cannot have (yet) is positioning and perspective.

If you take your own, unique perspectives on certain topics and use positioning in order to be unique, AI won’t (at this point) be able to produce the same content you do.

But you could provide your perspective and have, say, Claude brainstorm and write from that perspective.

Even if you become really profound in certain topics and become an expert, generative AI can learn from your content if given the opportunity, and generate creative content just like it backed by everything put on the internet for the past 20 years.

You can’t be smarter than AI, from a content creation perspective. 

You have to be unique and take your own personal position on the things you preach.

For marketers, this might be positioning your ads not based on company knowledge, consumer data, or metrics, but based on how you can stand out from the competition.

Look at a tool like Albert.ai that can analyze hundreds of different ad campaigns and create one of its own for your marketing team and product in mere seconds. 

In the next decade, tools like these are only going to get more powerful, and are going to kill the research and trend market.

If you’re just like every other marketer or company posting about the same topics in the same way, you’re going to end up in the race like all the others.

If you spin that and create a brand, while taking positions, you’ll end up attracting a larger audience not because you’re better than anyone, but because you’re someone different.

See you next week,
Sam Woods