Tools & Tactics to 10x Your AI Content

This Week

  • How to humanize your AI-created content

  • Is AI about to shatter social media as we know it?

  • A guide to better prompting from Ethan Mollick

  • The best AI copywriting tool comparison guide

  • AI Marketing Institute’s AI Writer summit (today)


Tools & Tactics to Improve Your AI Content

This week’s newsletter is all about writing and content creation. If you’ve used any of the current chatbots to write blog posts or social tweets, you know the outputs can be underwhelming — overly descriptive, robotic, and worse, factually incorrect. 

But don’t give up on AI-supported content just yet!

There are tools and techniques to improve your creative outputs. If you want to uplevel your AI content workflows, read on…

How to Humanize Your AI Content

To perform well for your readers and Google, AI content needs to sound like it came from a human. Humans trust humans, and Google prefers to rank content that humans trust.

Matt Diggity created 8 super-prompts for getting your chatbot output to sound like you (and not a robot) wrote it. They are:

  1. Define who you want the AI to write as 

  2. Give it personal stories

  3. Tell it what words not to use

  4. Change your sentence and paragraph lengths

  5. Insert facts

  6. Tell it to remove all the fluff

  7. Encourage it to have fun and be engaging

  8. Describe your readers

To see the prompts in action, watch Matt’s video here

Is AI About to Shatter Social Media as We Know It?

A new trend in AI is going to explode your social media engagement.

But not in a good way. 

Nilan Saha, Vancouver-based CTO of the wellness app Juna, tweeted a video demo of a new tool called Magic Reply. It’s a Chrome extension that uses artificial intelligence to generate replies to posts on X and LinkedIn instantly. 

Saha touts the $10-a-month extension as a “growth tool” — the idea being, that effortlessly replying to a gazillion posts will balloon your following. As any good marketer knows, an effective way to grow your social following is to engage with as many people in your space as possible, but it’s a time-consuming task that can feel soulless and draining. 

Wouldn’t it be nice if AI could take that burden off your shoulders?

Now with tools like Magic Reply, you can, but it puts into question the entire reason for social networks. If AI bots are handling all the liking and commenting, what happens to all the humans?

Fast Company reporter Joe Berkowitz says it will leave all of us feeling more disconnected than ever. When he tested out the Magic Reply extension, he found the resulting comments robotic, overly vague, and in some cases, completely missing the point of the content.  

As Berkowitz says:

“Presenting as interesting and affable on X… is a valuable skill. Carpet-bombing social feeds with AI replies is not just a poor cheat code; it’s an affront to basic social graces.”

So, what will happen to X and LinkedIn if AI-powered bots take over? Will people and brands go elsewhere? Is the next social network one that bans anything AI? Or will AI get so good at reading and replying to content we won’t be able to tell the difference and all of us humans will carry on our merry way?

A Guide to Better (and Wierder) Prompting

Ethan Mollick, Associate Professor at Wharton and AI expert, spends a lot of time experimenting with LLMs. In his latest article, he talks about the weirdness of AI prompting and shares a few do’s and don’ts for getting better outputs.

“There is no single magic word or phrase that works all the time, at least not yet. You may have heard about studies that suggest better outcomes from promising to tip the AI or telling it to take a deep breath or appealing to its “emotions” or being moderately polite but not groveling. And these approaches seem to help, but only occasionally, and only for some AIs.”

What should you do instead?

Mollick says there are three helpful approaches:

  1. Add Context: give the AI a persona (you are a marketer), an audience (you are writing for CTOs), and an output format (give me a table in a Word document).

  2. Give Examples: LLMs work well when given samples of what you want, whether a snippet of content or a grading rubric. 

  3. Use Chain of Thought: Ask the AI to go step-by-step through the instructions - first, outline the results; then produce a draft; then revise the draft; finally, produce a polished output. 

If you follow this framework, Mollick says you’ll get a better output, but you may still need a bit of tinkering to get exactly what you want. The key is not to give up!

For more of Mollick’s weird and wonderful examples, visit his blog

The Best AI Copywriting Tools for Marketers

Now you’ve got your AI content creation tactics, you need the perfect tool to execute. I created a handy spreadsheet ranking the top AI copywriting and content creation tools, so you don’t have to spend hours researching all the available platforms. 

What’s inside:

  • Handpicked Tools: I selected each tool based on performance, user-friendliness, and innovative features.

  • Easy Comparison: Detailed comparisons of key features, pricing, and ratings.

  • Time-Saving Resource: Say farewell to the hassle of sifting through endless options. My spreadsheet offers a consolidated, at-a-glance view of the top AI tools in the market.

Free Virtual AI Writers Summit (TODAY)

AI Marketing Institute and Jasper are hosting a free day-long AI writing summit today. 

If you are a writer, editor, or content team leader, this is a great resource for learning about the latest AI writing tools and tactics.

Sessions include:

  • The State of AI and Writing: Explore the latest developments in large language models and AI writing tools, demonstrating how to utilize AI to enhance skills and advance your career.

  • Generative AI Writing Tools and Platforms: Uncover essential AI writing tools for maximizing productivity, enhancing content creation, and shaping intelligent strategies.

  • Generative AI Insights from an IP Attorney: Delve into the legal landscape of AI-generated content, exploring intellectual property laws, ethical considerations, ownership disputes, and potential legal evolution. 

  • AI Writing in the Enterprise: Explore the transformative landscape of AI-driven content creation, covering vendor selection, organizational impact, implementation challenges, creativity, data privacy, ROI measurement, skillset adaptation, and ethical considerations.

  • AI in Action: See a Complete Content Workflow Powered by AI - Witness practical demonstrations of AI writing tools being utilized for a range of content tasks, showcasing tools like Jasper, ChatGPT, Claude, MarketMuse, and more.

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