A CMO Guide to AI Content Production

TL;DR

AI transforms content production for CMOs, but success requires balancing automation with human oversight to maintain quality and avoid Google penalties.

  • Why it matters: 37% of businesses use AI for content, boosting productivity by 40% while creating new quality challenges.
  • The big picture: AI excels at drafts and research but struggles with authenticity, factual accuracy, and brand voice consistency.
  • Reality check: Google can detect AI content and penalizes keyword-stuffed, low-value pieces that game search rankings.
  • How it works: AI analyzes existing content to generate new material using natural language processing.
  • The bottom line: Human experts must review all AI outputs for accuracy, tone, and coherence before publication.

Artificial Intelligence (AI) exists in various shapes and forms. However, most individuals associate AI with content creation or even artwork replication.

Chief Marketing Officers (CMOs) need to understand what AI is and how to use the technology to advance their digital marketing campaigns.

It’s crucial to clearly understand the limitations, benefits, and drawbacks of utilizing AI technology for content creation, particularly in terms of implementing more efficient and cost-effective solutions in marketing strategies.

This CMO guide to AI content production will help you stay up-to-date on the latest AI developments, so you can be better equipped to use it in your marketing endeavors.

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What is AI?

If you’re a new CMO with little experience in the content production world, you may need a better idea of what AI writers do and how they affect marketing trends.

AI content writers like ChatGPT and others can create written content within seconds.

The chatbots have been fed data that lets them study human language, mimic tone, and gather information from all corners of the internet.

Even Google has launched its chatbot, Bard, which closely monitors human language to mimic it.

However, CMOs must understand that AI isn’t only useful for content creation. It can have various uses, and some of the most popular include the following.

AI chats

Have you ever visited a website and seen a chat box lingering on the corner of a landing or home page?

Chat boxes are incredibly convenient for businesses that don’t provide 24/7 customer service but still want to deliver some service to their clients.

Today, many businesses take advantage of cost-effective AI chatbots, which can offer guidance similar to a human customer representative.

AI in sales

Businesses of all sizes are increasingly using AI in the sales process.

From lead generation and personalization to predictive analytics and automated emails, AI can help identify potential customers and give them the right information they need to make a purchase.

AI can even help you develop targeting strategies, customize ads to fit the interests of different buyers, and provide real-time feedback or insights on how well your campaigns are doing.

AI in SEO

Search engine optimization (SEO) is one of the most important aspects for any business to gain customers online.

SEO allows you to optimize content and perform better on search engine result rankings, letting more customers find your business.

But did you know that many SEO programs use the power of AI to scan existing content online for keywords and their prominence?

Programs like Surfer SEO, arguably one of the most widely used and trusted SEO tools available today, use AI to help businesses get better and more accurate data on their SEO efforts.

AI for talking points

A CMO might also use AI to create content like talking points, outlines, conversation summaries, and a wide range of other resources to help their marketing teams.

AI can generate talking points automatically, allowing your team members to understand what to do or say to attract customers, stay updated on the latest trends, and maintain an edge over their competition.

Any software you use today, from email generators to grammar checkers, might already use AI to help you improve the content you create. Why do AI chatbots suddenly face a backlash for blog and image content creation?

AI, Content Creation, and Google’s Algorithms

CMOs need to distinguish between AI used for digital marketing in traditional capacities (such as listed above) and AI used for new content creation to understand the main issues with AI content marketing.

Are both equally beneficial? Is one worse than the other?

AI for writing content

First, knowing how different AI chat programs work, and their capabilities is important.

AI chat programs use artificial intelligence to read and analyze existing content, then generate new content based on these findings.

They also use natural language processing (NLP) tools to make it seem that the written content came from a human instead of a bot.

A CMO should guide their content team to use AI wisely to save time that can be used for researching and curating articles, for example.

Some of the most popular AI chatbots today include:

  • ChatGPT
  • Jasper
  • Bing Chat
  • Chatsonic
ChatGPT screenshot of main chat screen containing warnings

While these chatbots appear convenient for marketers and content creators, they can only partially do the content creators’ work.

When these chatbots create content, they do so by mimicking human language.

The result is that a certain fake tone, filled with robotic language and, at times, repetitive phrasings throughout the draft, makes it easy to distinguish from human-written content.

Although this type of content might be great for churning out many low-quality articles quickly and creating a solid base for your blog, it won’t help you build trust among your readers and customers.

This isn’t just a problem of tone—there’s also a weird confidence in some outputs. AI tools occasionally invent data or misattribute sources (see: “hallucinations”), and that’s especially risky if you’re covering technical subjects or offering advice. CMOs need sharp eyes or real experts checking the facts before something goes live. That extra review loop might slow things down but, honestly, it beats losing user trust over a bot’s careless footnote or nonsense stat.

On the flip side, there’s this undercurrent of optimism too. A lot of smaller teams have been able to punch above their weight by using AI to build first drafts or automate repetitive social posts. It’s pretty wild to see interns or junior marketers go from zero to campaign launch in hours, mainly because an AI tool handled the mundane parts. The tradeoff, sometimes, is that spark of authenticity or the story only a human can tell—something you can’t automate, no matter how clever the prompt.

Google’s algorithm

Google’s algorithms are so sophisticated that they can easily detect when an AI chatbot has written the work.

Remember that representatives from Google have stated that as AI increases, they will keep up with these adapting chatbots to distinguish robotic from human-generated content.

As a CMO, it’s vital to understand how to keep AI-generated content from falling into the realm of spam and still be able to harness AI’s efficiency and creativity for your company’s success.

Possible negative outcomes

What does it mean if Google finds AI-generated content on your website?

While some might think that if they are found using AI to create content, it automatically means Google will issue a warning or even ding their site and drop it in rankings, the truth is a bit more complex. 

Google’s spam policy states that using AI automation appropriately and responsibly isn’t necessarily against their guidelines.

However, creating keyword-stuffed content pieces that do nothing for the audience and try to game the system can jeopardize your website’s chances of appearing in the SERP.

Penalties can affect your search rankings for a particular web page, or they might affect your website altogether.

The AI Paradox

Even with the detriment of using AI for ill-sounding, repetitive, and factually incorrect articles, content creators and CMOs are still flocking to AI chatbots to create content.

Around 37% of businesses are using AI, leading to a 40% boost in productivity. Why?

It has something to do with the AI paradox, which is an effect of using AI for content creation.

By its very nature, AI has made creating content a commodity, meaning people are willing to pay to get content pieces done quickly and efficiently.

Producing content quickly helps businesses reach their content-production goal. However, it also leads to a race to the bottom in terms of quality when it comes to the actual output of these chatbots.

The result is that human-generated content is now incredibly valuable, with some companies opting to use only human-generated content instead of AI bots and paying top dollar for this content.

Content creation platforms now have features, including AI checkers, to ensure all written content pieces are 100% human-generated and authentic, giving peace of mind to those using such services.

Implementing AI Use in Content Creation

AI is revolutionary and as a CMO, you must know how to use it for content production.

Your team can have blog posts, e-books, and other digital marketing campaigns in virtually the blink of an eye.

However, because you cannot rely solely on AI to produce good quality content you can publish, the most important thing is to have human experts to ensure all written content is factually correct and logically coherent.

You’ll also want to ensure your team understands the limitations of AI use and works to correct any mistakes, repetitive phrasing, and overall robotic tone that could be key failings of AI use.

So long as your content helps your customers find answers and provides accurate information, you can be well on your way toward your business success.

Frequently Asked Questions

How should CMOs balance AI efficiency with content quality?

Use AI for first drafts, research assistance, and repetitive tasks like social media posts, but always have subject matter experts review outputs before publication. AI excels at generating talking points and outlines quickly, while humans ensure factual accuracy, brand voice consistency, and authentic storytelling. This hybrid approach maximizes productivity gains while maintaining the trust and engagement that only human-crafted content can deliver.

What specific risks does AI-generated content pose for search rankings?

Google's algorithms can detect AI content and penalize keyword-stuffed, low-value pieces designed to game search results. The main risks include AI hallucinations that invent data or misattribute sources, repetitive phrasing that signals automation, and content that provides no real value to readers. However, Google doesn't automatically penalize all AI-assisted content when used appropriately and responsibly within their guidelines.

Which AI tools work best for different content marketing needs?

ChatGPT and Jasper excel at blog drafts and long-form content, while Bing Chat and Chatsonic offer real-time data integration. For SEO optimization, tools like Surfer SEO use AI to analyze keyword prominence and content gaps. Choose tools based on your specific needs: research assistance, draft generation, or technical optimization. Test multiple platforms to find which produces outputs that align best with your brand voice and quality standards.

How can marketing teams measure ROI from AI content investments?

Track productivity metrics like content output volume, time savings per piece, and cost per published article compared to human-only workflows. Monitor quality indicators including engagement rates, search rankings, and conversion metrics for AI-assisted versus purely human content. Calculate the total cost including AI tool subscriptions, human review time, and revision cycles. Benchmark these results against your previous content performance to quantify the true business impact of your AI integration strategy.

MM Matt Montenegro