​​TL;DR

• AI content marketing is revolutionizing how businesses create high-performing content quickly and cost-effectively.

• AI tools allow marketers to generate text, visuals, and video content at scale, reducing time and costs while enhancing performance.

• Best practices for using AI include integrating human creativity, establishing clear guidelines, treating AI content as drafts, and continuously testing for optimization.

• Top tools for AI-generated content include GoMarble AI Copywriter, Midjourney, Descript, Jasper, and LALAL.AI.

AI has quickly become a practical tool for marketers who need to create high-quality content quickly. Instead of relying solely on large teams or long production cycles, brands are using AI tools to help them generate fast-performing content.

The economic results speak for themselves. Companies that use AI for content production report an average 32% reduction in costs, making it one of the most efficient shifts in marketing operations today.

This blog explores AI content marketing, why more teams use it, the trade-offs to consider, how to use it well, and which tools are worth your time.

What Is AI-Generated Content in Marketing?

AI-generated content is created using artificial intelligence tools that respond to human prompts. These tools can produce text, images, or videos that marketers use across digital campaigns. 

Instead of building each asset from scratch, teams can generate variations quickly, based on audience insights or campaign goals.

Why are more marketers adopting this approach?

• High content demand: Campaigns need a constant flow of fresh creative. AI helps meet that demand without slowing down.

• Faster execution: AI tools reduce the time between concept and launch, helping teams move fast without expanding headcount.

• Performance-driven output: AI can support data-informed content decisions, allowing marketers to scale what works and cut what doesn’t.

In performance marketing, speed and precision matter. AI-generated content helps brands operate with both. 

But before jumping in, it's worth weighing what this approach does well and where it still falls short.

Advantages and Limitations of AI-Generated Content

AI has opened new possibilities for marketers to scale creative output, but it’s not without trade-offs. 

Here’s a closer look at what it does well and where it still needs human backup:

Key Advantages

AI content tools offer speed, scale, and efficiency gains, especially for teams running frequent campaigns.

• Faster production: AI can take a simple prompt and generate multiple content variations in minutes, helping marketers keep up with constant demand.

• Lower costs: Automating parts of the creative process reduces dependency on large teams, freelance resources, or long agency timelines.

• Consistent messaging: When configured properly, AI tools help maintain a steady brand tone across ads, visuals, and captions, avoiding the drift that often happens at scale.

• Eases creative fatigue: Instead of staring at a blank page, marketers can use AI to jumpstart ideation and build momentum faster.

• More variation, faster: AI makes it easier to test different versions of a message, image, or hook, without stretching internal bandwidth.

  
  

Notable Limitations

Despite the upside, AI-generated content still needs oversight. Without it, brands risk publishing content that feels off, misses the mark, or damages credibility.

• Lacks originality: As AI relies on learned data patterns, its outputs can feel generic or derivative without a human layer of creativity.

• Feels templated: Many AI-generated pieces carry a predictable rhythm or phrasing, which can make content blend into the background if not edited for impact.

• Needs human refinement: AI may handle the complex tasks, but shaping content to match your brand tone, audience expectations, and campaign context still takes human input.

• Tone mismatch: Without clear instructions, AI may default to a voice that doesn’t align with your brand or misses emotional cues entirely.

• Ethical and factual risks: If left unmonitored, AI can unintentionally generate misleading claims or biased messaging, risking brand trust.

Marketers need the proper structure, tools, and people to benefit from AI-generated content. 

That starts with best practices designed to make AI work smarter.

Best Practices for Using AI-Generated Content in Marketing

To ensure AI-generated content drives value, marketers need a clear approach. These best practices can help teams make the most of AI without sacrificing quality or brand integrity.

1. Use AI to Enhance Human Creativity, Not Replace It

AI should be viewed as a powerful assistant, not a replacement for human creativity. Use AI for tasks like drafting variations or testing creative angles, but leave the strategy, tone, and emotional depth to your marketing experts who understand your audience and goals.

Working with GoMarble gives you both: GoMarble’s hybrid approach combines AI tools with expert marketers who analyze performance, shape creative strategy, and scale ad content that drives results.

2. Establish Clear Creative Guidelines

Clear guidance is essential for AI to produce accurate, brand-aligned content. Marketers should define the brand tone, target audience, and campaign objectives to ensure that AI-generated content doesn’t feel off-brand or overly generic. 

Structured prompts and reference examples help steer AI in the right direction, ensuring the final output meets the desired standards.

3. Treat AI Content as a Draft, Not the Final Output

AI-generated content is a helpful starting point, but should never be considered the final product. It helps overcome creative blocks and generate initial ideas quickly. 

However, human editing is crucial to refine the content, ensuring clarity, precision, and alignment with brand messaging. The final version should speak directly to your audience and marketing objectives.

4. Continuously Test and Optimize Content

Testing is key to ensuring AI-generated content performs well. Marketers should create multiple variations of their content and track which versions drive higher engagement, conversions, or ROAS.

Looking for an AI-powered tool for creative analysis? The GoMarble’s AI Ads Analyzer helps you test your Facebook ad creatives by analyzing copy, visuals, and hooks. It offers clear, data-backed suggestions to improve creative performance.

5. Maintain Ethical Standards and Originality

AI-generated content pulls from existing data patterns, so ensuring originality and accuracy is crucial. Marketers should fact-check content to avoid spreading misinformation or outdated claims. 

Additionally, watch for biases or tone mismatches that could undermine the brand’s voice, maintaining ethical standards and authenticity in all AI-generated content.

Having the right process is half the equation. The other half is using the right tools, ones that are built to support fast-moving marketing teams without compromising on quality.

Top Tools for AI-Generated Content in Marketing

Having the right tools in your stack makes it easier to scale content without losing control over quality. 

Here are five standout tools that help marketers generate high-performing content faster and more efficiently:

1. AI Copywriter

When it comes to ad performance, copy isn’t just filler; it’s what stops the scroll, builds interest, and drives action. GoMarble’s AI Copywriter is built specifically to meet that challenge. Designed for performance marketers, it helps craft high-impact ad copy tailored to different audience awareness levels, from cold leads to ready-to-buy users.

This tool stands out because of its structured, strategic approach to messaging. It doesn’t just generate text; it aligns every line of copy with where the viewer is in the buying journey:

• Headlines that hook attention fast.

• Subheadlines that build interest with a smooth lead-in to the offer.

• Body Copy that explains benefits clearly and concisely, without overwhelming the reader.

• Engagement Hooks are designed to prompt action, whether a click, share, or purchase.

The AI Copywriter also tailors content based on audience awareness:

• Unaware: Introduces a relatable problem or surprising insight to spark curiosity.

• Problem Aware: Focuses on pain points and gently guides toward a solution.

• Solution Aware: Positions your product as the ideal answer.

• Product Aware: Highlights features and outcomes that matter most.

• Most Aware: Drives urgency with direct, benefit-led calls to action.

This tool enables faster content production without sacrificing strategic intent by combining product data, customer personas, and campaign goals.

Ready to improve your ad performance with sharper, faster copy? Try the AI Copywriter

2. Midjourney

Visuals can make or break a campaign. Midjourney lets marketers create compelling images using simple text prompts without a whole design team.

• Generate stylized product images, concept art, or visual variations for A/B testing in ads.

• Ideal for performance-focused teams that want speed and creativity in their visual content.

• Strength: High-quality, artistic outputs make your content stand out in crowded feeds.

  
  

3. Runway

Video content is increasingly dominant, and Runway makes it easier to produce it with speed. This tool uses AI to help marketers turn ideas or scripts into video assets without complex editing.

• Transform text into video using templates, motion tracking, and AI editing features.

• Easily create product explainers, social ad reels, or visual stories on a tight timeline.

• Strength: Built-in tools for subtitles, cleanup, and motion design reduce post-production time significantly.

4. Describely

For E-Commerce brands, product descriptions must be accurate, persuasive, and scalable. Describely simplifies that process.

• Automatically generates product descriptions based on SKU-level attributes.

• Optimizes content for clarity, tone, and consistency across large catalogs.

• Strength: Ideal for marketplaces or DTC brands managing hundreds of listings with limited copywriting support.

5. Jasper

Jasper is one of the most versatile AI tools available to marketers. It supports content planning, ideation, and fast execution.

• With prebuilt marketing frameworks like AIDA and PAS, you can generate ad scripts, blog outlines, headlines, CTAs, and more.

• Tailor tone, format, and length depending on the platform or audience.

• Strength: Best suited for teams that need content for multiple formats and want to keep things aligned with their brand voice.

6. Lexica Art

For marketers needing unique and artistic images for their campaigns, Lexica Art generates high-quality visuals from text prompts.

• Create stylized images, illustrations, and graphics tailored to your brand's aesthetic.

• Strength: Perfect for creating custom blog thumbnails, social media visuals, and marketing assets that stand out.

7. LALAL.AI

LALAL.AI specializes in extracting vocals and background music from audio recordings, helping marketers create clean, professional sound for their campaigns.

• Upload audio or video files, and LALAL.AI isolates vocals, instruments, or other audio elements while removing unwanted noise.

• Strength: Ideal for marketers creating podcasts, voiceovers, or audio ads without background distractions.

8. Descript

Descript allows users to create and edit audio and video content as easily as text, providing marketers with a powerful tool for content creation.

• Create, edit, and transcribe podcasts, videos, and screen recordings with AI-powered features like overdub and automatic transcription.

• Strength: Great for marketers who need to quickly produce and refine video and audio content, especially for tutorials and explainer videos.

9. Crayo

Crayo is an AI-powered tool for creating short-form videos for platforms like TikTok, Instagram Reels, and YouTube Shorts.

• Generate quick and engaging video content, using AI to assist with voiceovers, graphics, and storytelling elements.

• Strength: Ideal for performance marketers focused on viral video content creation with minimal effort.

10. PhotoRoom

PhotoRoom uses AI to automatically remove backgrounds from images, allowing marketers to create professional product photos or marketing visuals quickly.

• Easily upload images, and PhotoRoom will extract the subject, leaving a clean background for integration into ads, social media posts, or catalogs.

• Strength: Best for e-commerce and product-based brands that need quick, high-quality image edits without a designer.

With the right tools and a clear process, AI-generated content can move from a quick fix to a dependable part of your day-to-day marketing output.

Conclusion

AI is now a practical tool in marketing, helping teams create content faster, test ideas more efficiently, and keep up with the demands of modern campaigns. But even the best tools need human input to be effective. Real results come when AI is guided by strategy, brand understanding, and creative judgment.

At GoMarble, we use an AI-assisted, human-led performance marketing approach to help brands grow profitably. Our AI, combined with our team of expert marketers, enables us to launch high-performing creatives faster, cut wasted spend, and improve ROAS week after week.

Curious what AI can do when it’s backed by real marketing expertise? Book a call with us today!

FAQs

Q1. What are the advantages of using AI in content marketing?

A1. AI in content marketing offers speed, efficiency, and scalability. It helps create content faster, reduces costs, maintains brand consistency, and alleviates creative fatigue. Marketers can produce high-quality content with minimal effort, enhancing their ability to meet high content demands.

Q2. How can I ensure AI-generated content aligns with my brand?

A2. To ensure AI-generated content aligns with your brand, establish clear creative guidelines. Define your brand tone, target audience, and campaign objectives. Use structured prompts and reference examples to guide the AI tools in creating content that stays true to your brand’s voice.

Q3. Can AI replace human creativity in content creation?

A3. While AI can enhance content creation by generating drafts and variations, it cannot replace human creativity. AI should be viewed as an assistant, with marketers overseeing strategy, tone, and emotional depth. Human input is crucial for ensuring the content resonates with the audience.

Q4. What are the risks of using AI-generated content?

A4. If not monitored, AI-generated content can result in generic outputs, tone mismatches, and ethical risks like spreading misinformation or biases. Fact-checking and refining AI content is important to ensure it aligns with brand standards and maintains credibility.

Q5. How do I measure the performance of AI-generated content?

A5. Measure the performance of AI-generated content by continuously testing variations and tracking key metrics such as engagement rates, conversion rates, and ROAS.