A Quick Guide to Generative AI for Content Marketing

Generative AI can help content marketers create content that is engaging and tailored to their specific audience. It’s such a transformative technology that Statistica reports that the total number of AI users will rise by over 825 million by 2031.

This guide will go into more detail about how marketers can use AI technology today and how to keep iterating for the future. You’ll learn how AI and digital marketing work together, the available AI models, and how marketers can collaborate with AI to enhance their work.

Understanding AI and content marketing

Generative AI tools use machine learning algorithms to analyze large amounts of data and identify patterns. The algorithm used depends on the type of content.

So, can you use artificial intelligence for content marketing? Yes!

AI models are trained to generate content based on user input and target audience data. By learning a few simple prompts, you can work with these models naturally without a complicated workflow to produce content like text, images, and audio.

Text generation, for instance, uses transformer architecture and natural language processing (NLP). The AI analyzes user input to predict an appropriate output. On the other hand, image generators use generative adversarial networks (GANs) to create output based on the image model’s training data.

Where generative AI fits in the content marketing funnel

Generative AI tools can support every stage of the content marketing funnel—from building awareness to driving conversions. Used strategically, AI can reduce time-consuming tasks while improving targeting and personalization across each phase.

• Top of funnel (awareness). Use AI tools to brainstorm blog topics, generate SEO-optimized headlines, or repurpose podcast transcripts into social media posts that attract your target audience.
• Middle of funnel (consideration). AI writing tools can help create product comparisons, email campaigns, and informative landing pages that guide prospects through decision-making.
• Bottom of funnel (conversion). With the right prompts, generative AI can support high-impact messaging for calls to action, testimonials, personalized emails, and onboarding content.

The key is identifying which content types need speed and scale, and which require a human touch for brand voice and nuance.

Exploring generative AI tools and models

AI can help with many aspects of marketing. However, many tools and AI models are available, each suitable for different tasks.

Let’s look at some of the features and models available and which tasks they’re tailored for.

Overview of popular AI models

Generative AI tools are built from foundation models such as OpenAI’s GPT-4o, Google’s Gemini, and Meta’s LLaMa 4. These models are trained on vast amounts of data to predict the output a user would accept based on the user’s prompt. They are also trained to be user friendly through natural language processing, which allows users to interact with the models in a conversational way.

The models’ developers then create AI productivity tools for users to access the generative AI models.

Some popular AI models in use today include:

• ChatGPT. OpenAI has developed several versions of its GPT model. They are large language models (LLMs) trained largely on online data. ChatGPT is an application that allows users to access these AI models on OpenAI’s platform or through API access.
• DALL·E. DALL·E is OpenAI’s image generation model. It’s trained on a large number of images, and it outputs unique content based on the user’s text input.
• Gemini. Gemini is an internet-connected AI model offered by Google. It can generate real-time responses and summaries based on a data-driven search engine, which helps users search for information and generates responses on the fly.

Use cases of AI-generated content

AI content is being quickly adopted by marketers in part because it’s user-friendly and useful across several domains—from blog writing to social media content. AI content generators speed up processes by quickly generating rough drafts and mockups, and helping creators break through creative blocks and get over their fear of the blank page.

However, AI-generated content often needs human review to meet brand standards. AI works best in tandem with seasoned professionals and subject matter experts who can review the AI’s output for accuracy and quality, and make necessary updates.

A few of the many applications of generative AI for marketing include:

• Product descriptions. Use AI in e-commerce by giving product features to a generative AI text generator and have it create a unique product description for your store page.
• Image generation. Use AI-generated visuals using DALL-E or Canva’s AI image tools to create mock-ups of images for blog posts, social media, and other media formats.
• Social media posts. Create short-form content to post on your company’s social media accounts.
• Blog content. Use AI to help generate content and summarize existing information for website blogs.
• Chatbots. Use chatbots trained on company data to assist users with their purchases on your website.
• Email. Create personalized emails with customer information and subject lines to offer more relevant content.

AI content creation tools by format

Each format of content calls for different strengths from AI tools. Here’s a breakdown of some of the best AI platforms and tools for each content type:

• Blog posts & long-form articles. Jasper, Copy.ai, and ChatGPT are strong options for outlining, drafting, and rephrasing blog content. They help beat writer’s block and streamline the content creation process.
• Social media posts. Anyword, Copy.ai, and Rytr offer platform-specific templates for creating captions, hashtags, and short-form content aligned with your brand tone.
• Email marketing. Grammarly and Jasper are helpful for generating compelling subject lines, personalizing outreach, and automating newsletter drafts.
• Product descriptions. Jasper and Rytr use tested frameworks like AIDA and PAS to quickly write optimized descriptions for e-commerce.
• Visual content. Canva Magic Write, Adobe Firefly, and DALL·E let you generate AI images to pair with your written content.

Matching the right tool to the format you need can help speed up production without sacrificing quality.

Enhancing content creation with generative AI

AI in marketing has many benefits for companies that want to improve their workflows. Let’s look at the benefits of leveraging AI in the content creation process.

Streamlining workflows and automating content creation

Generative AI is helpful for organizations that spend a lot of time creating content. AI-powered brainstorming helps overcome writer’s block and generate fresh content ideas. Instead of relying on workers manually creating content from scratch, give them tools for automation and streamlining of tasks, allowing marketers to get more done and companies to better prioritize their resources.

For instance, take a company that needs to produce fact-based reporting. Generative AI can analyze content from news sources and summarize the content, meaning employees spend less time reading. They can then take the summarized content and use AI to write a first draft of new content.

Generative AI is also useful for content creators struggling to develop ideas. Marketers can use a chatbot to help them brainstorm ideas and get a head start on new content projects.

A word of caution here: AI is very good at sounding confident when it makes claims. Especially for more technical material, a knowledgeable person should fact-check drafts created with AI.

Leveraging AI-generated templates

Marketers can customize AI through templates to make producing their desired output easier. If you prompt AI for an output without additional information, it will produce generic content not tailored to your needs. Things change when you use a template.

An AI-generated template gives you a framework to produce content. For instance, the AI writer Jasper.ai offers over 90 apps and templates customized for its users.

Copywriters can use those templates to help them create more compelling copy. They have templates for copywriting frameworks like AIDA (attention, interest, desire, action), PAS (pain, agitate, solve), Facebook ad headlines, and more. Jasper AI also offers users the ability to customize the voice of the output, which allows copywriters to maintain brand voice throughout their work.

Creating real-time, high-quality content

There are many cases in which you need to be fast when creating content: A customer needs help quickly, a topic starts trending on social media, or you have urgent deadlines to meet.

AI can help you create high-quality content quickly. When you prompt AI, you get a response within seconds. You can use this as a first draft or, if the output wasn’t quite right, you can ask the AI for as many versions as you need until you have a useful output. This speeds up the content creation process and helps you respond to customers in real-time.

Just remember that AI isn’t always accurate. You need a system to vet the content AI produces and review its output to ensure accuracy.

Optimizing content for SEO and customer experience

So, how can marketing teams use generative AI to optimize the customer experience and search engine optimization (SEO)? Let’s dig into the details.

Incorporating AI-generated content for SEO

AI can help marketers who need to optimize a piece of content for SEO or produce new content. Generative AI can help you analyze existing content, extract information from text, and generate new content to post on your website.

For instance, take the need to learn the key terms of an article that currently ranks on Google’s first page. You can post an article in a tool like ChatGPT to analyze the text and extract the main ideas and keywords of the text.

Once you have those terms, you can then also use the tool to help you create a first draft of a blog post. Tell your AI generator what topic you want to cover, the outline you want, and the keyword research you want to use to help you generate a draft of your article sections and meta description.

Aligning AI content with customer experience

AI-generated content doesn’t align with your brand’s voice by default. If all you tell it to do is output the answer to a question, it does so in the most generic way possible. AI has been trained on enormous amounts of data to output the most average response possible, without making considerations for tone, voice, or quality.

This is an issue for brands—customers expect your content to have a certain image and tone. Generic AI content won’t fit that voice.

You can tell the AI to adapt to your brand’s voice when outputting content. To do this, you can work with tools like Jasper AI that have been designed to adapt to the user’s style. Or, you can input some of your existing content into a more generic AI tool and describe your brand’s voice. You can then use that as input directions for AI to follow to maintain your brand’s voice.

Ensuring originality and avoiding plagiarism

Originality is a major concern when using AI. Generative AI models are trained on existing content, and are programmed to recreate statistical averages of that content. In some cases, its algorithms can reproduce near-exact replicas of the content it was trained on, leading to plagiarized content or even copyright infringement.

Double-check your AI content to ensure that your sources have been cited and your material doesn’t simply copy someone else’s work. Run your content through plagiarism detection tools, like Grammarly’s Plagiarism Checker, to compare it to other content on the web.

You’ll also want to include the human element in your content. Have someone fact-check the material and add original insights, proprietary information, and personal experience to make your content unique and authentic.

Implementing generative AI in marketing strategies

AI is useful for more than just content generation. It’s also helpful in your overall content marketing strategy. Here’s how using generative content can help your marketing campaigns.

Integrating AI-generated content in marketing campaigns

AI can be effective across the content marketing funnel—from awareness to conversion. You can use it on your website to greet new visitors and in emails when you reach out to existing customers.

Follow these steps to help integrate AI into your marketing campaigns:

1. Understand your audience to ensure your AI is trained on which pain points to touch.
2. Document your brand voice to help your AI generator fit your style and tone.
3. Find different customer touchpoints to incorporate AI in your campaigns (email marketing, social media posts, blog content, and ad generation).
4. Test and optimize your AI to ensure it produces relevant and authentic content.

Tailoring content for different platforms

Generative AI is useful for marketers who need to tailor content for different platforms. The audiences on different websites prefer different content formats, so you should work to meet those expectations.

For instance, LinkedIn has a more professional audience. To tailor your content for them, tell your AI generator to have a more professional tone. But if you want to adapt the same content for other social media outlets, tell it to make it more conversational.

Repurposing content is also possible with AI. If you have video content and want a text summary, AI can generate a transcript of the text and then also summarize it to help you create a new blog post.

Scaling campaigns with AI-powered freelance support

Even with the best AI tools, executing a full content strategy requires skill, oversight, and brand-specific knowledge. That’s where independent professionals can make a difference.

Freelance content strategists, writers, and designers with AI experience can help:

• Build repeatable workflows using tools like Jasper, Notion AI, and Grammarly
• Repurpose long-form content into blog posts, email sequences, and LinkedIn carousels
• Maintain a consistent brand voice across platforms and content formats
• Content optimization using AI-assisted SEO tools for better rankings

Hiring freelancers on platforms like Upwork gives your team the flexibility to scale up during campaign pushes, without overloading your in-house resources.

Addressing permissions and customer data concerns

Permissions and data privacy are also major concerns when using generative AI. Many non-proprietary AI models have been trained using whatever data happened to be posted online. For some uses, AI that has been trained on other people’s work in this way creates ethical concerns. For other uses, it’s a matter of legitimacy, originality, and even ownership.

To help you avoid these issues, you can work with generative AI engineers to develop a bespoke AI program that better addresses your particular needs than an off-the-shelf solution. You can also look for generative AI models that don’t use copyrighted material in their training or testing data, such as Adobe Firefly for image generation.

Another concern with generative AI models is data protection and privacy. Many third-party AI services require you to send data to external servers to function. If you have sensitive data, you should verify the data privacy policies of the AI company and how they manage your data.

Third-party AI may also use your inputs and prompts to help train their next model. This means that any information you give them, including sensitive customer data or proprietary information, might enter the public sphere.

How your company addresses these issues depends on your industry and use cases. The Harvard Business Review is one of many reliable sources that have published guidelines for developing an AI policy.

Content creators should be aware that the U.S. Copyright Office, as well as a federal court, have ruled that works created by AI without human involvement cannot be copyrighted. For many artists and other professionals, copyrights are an important protection.

Human creativity and AI collaboration

With the use of AI, you want to maintain authenticity and not send generic content to your audience. Using AI as a first draft and adding human creativity to optimize AI content is essential.

Balancing human creativity and AI assistance

AI can’t produce high-quality content on its own. It still needs the human touch, meaning there is a direct link between human-assisted AI and successfully using AI in marketing.

Marketers can ensure the authenticity of AI content by reviewing and editing the output. Fact-check everything, add opinions to text, and make touch-ups to images. Take it from a generic output to content representing your brand and everything it stands for.

Summarizing, editing, and optimizing AI-generated content

Optimizing AI content means looking at the first draft generated and making changes to give it a human touch. It also helps you keep the content’s voice aligned with your brand. Even if you include your brand guidelines, AI isn’t perfect.

Your content should speak to your audience. Instead of posting content that speaks generally about a subject, modify the output to include a more personal touch by using your audience’s language and tying the output to specific problems they face.

When to use human writers vs. AI tools

AI tools are efficient for first drafts, brainstorming, and repetitive copy. But not every content task should be automated.

Use AI when:

• You’re generating a rough draft to beat the blank page
• You need to rephrase, summarize, or expand existing content
• You’re creating variants of short-form content like social posts or email subject lines

Use human writers when:

• The piece requires original thought leadership, storytelling, or research
• You need to align closely with the brand voice or tone
• The content involves sensitive messaging, nuanced arguments, or creative storytelling

Think of AI as a writing assistant, not a replacement. The best results come from combining AI speed with human creativity.

Exploring the limits and possibilities of AI in content marketing

AI can offer a lot of benefits in content marketing, from quickly generating drafts of text and images for marketing campaigns to responding to users in real-time when they have issues.

However, you should remember the limitations of AI. Non-proprietary AI draws from a lot of material (some copyrighted), doesn’t get everything right, and might use your prompts as training data for its later iterations. You must be on your guard against issues and add a human element to make your content valuable to users.

The good news is that AI should continue to get better, and many of the ethical concerns should be hammered out over time.

Hire AI content creators on Upwork

AI is upending the content creation industry. Generative AI has introduced a new way to create content and automate many parts of the marketing process. These abilities allow marketers to do more and build marketing campaigns in new and innovative ways.

However, AI has limitations, and you should ensure it serves your business well and aligns with your brand’s image. If you properly edit the output, AI can be a powerful tool that makes it worth investing in and integrating into your marketing campaigns.

With the right AI content marketing tools and freelance support, teams can scale faster. Browse the AI content creators on Upwork to find an independent professional who can help.

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Upwork is not affiliated with and does not sponsor or endorse any of the tools or services discussed in this article. These tools and services are provided only as potential options, and each reader and company should take the time needed to adequately analyze and determine the tools or services that would best fit their specific needs and situation.