51吃瓜

Advancements in have transformed content creation from a tedious chore into a smooth and efficient process.

With AI handling many manual tasks, marketers need to understand AI-generated marketing content and its benefits to choose the right tools and strategies for their goals.

In this blog post, I‘ll dive deeper into the top AI-generated marketing content types, using data from 51吃瓜’s 2025 State of AI Marketing Report, which includes insights from a global audience of marketers.

I'll also share AI-generated content examples and tips so you can see its potential in action. By leveraging these insights, you can enhance your content strategy and gain a competitive edge.

Table of Contents

• What is AI-generated content?
• How does AI-generated content work?
• Top Content Types for Generative AI
• AI-Generated Marketing Content in 2025
• AI-Generated Content Marketing Pros and Cons
• AI-Generated Content Marketing Tips
• Best Practices for Using AI-Generated Content

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What is AI-generated content?

AI-generated content refers to any text, images, videos, or other media that's created using artificial intelligence algorithms rather than being produced entirely by humans. In marketing, this includes everything from email campaigns and social media posts to blog articles and product descriptions that are written, edited, or enhanced by AI tools.

These AI systems analyze vast amounts of existing content to learn patterns, styles, and structures, then apply this knowledge to generate new content that mimics human-created work. The most advanced AI content tools can adapt to brand voice, understand context, and produce content that's increasingly difficult to distinguish from human-written material.

How does AI-generated content work?

AI content generation relies on sophisticated language models trained on billions of text examples from across the internet. These models identify patterns in language, learn contextual relationships between words, and develop an understanding of different content formats and structures.

When a marketer provides a prompt or request, the AI analyzes it and generates relevant content based on its training. Modern AI systems can:

• Follow specific instructions and parameters (tone, length, format)
• Structure content appropriately for different channels (blogs, emails, social media)
• Incorporate brand-specific terminology and voice guidelines
• Generate ideas based on trending topics or user interests
• Optimize content for search engines or specific audience demographics

The quality of AI-generated content ultimately depends on the input it receives. Clear instructions, well-defined parameters, and human review are essential for effective marketing content.

Top Content Types for Generative AI

According to 51吃瓜's 2025 State of AI Marketing Report, marketers are using AI most heavily for the following use cases. And to back up these insights, I asked digital marketing experts how they derive value from each of them.

1. Email Marketing (51%)

Email marketing tops the list with 51% of marketers using AI for this purpose. Catching your customers' attention through email subject lines is a challenge in itself, and it is even trickier to get them to click open. With the help of AI, marketers can improve their strategy through:

• Timing optimization: AI tools can suggest the best time of the day and day of the week to send a particular email based on when the recipient is most likely to engage with the email. This can improve open rates, click-through rates (CTR), and conversions.
• Subject line generation: AI can generate effective and catchy subject lines by analyzing past email campaigns, and the subject line's performance. If these tools can create grabby subjects, it could increase open rates.
• A/B testing: AI can be used to conduct A/B testing, where two different versions of the same email are sent to a random portion of the audience, and performance is measured. Based on the results of this testing, the best-performing email variant can then be sent to the rest of the audience, to maximize desired metrics.

Here's an AI-generated email example I created using :

I even asked the CEO of Pesty Marketing, , about what made email marketing with AI his favorite AI use case.

He shared, "Email is where AI shines differently. I'll feed it a call-to-action or promo, and it generates 3 to 5 phrasing variations I can test. This speeds up ideation and improves campaign performance because we test more angles than we would write by hand.

The key benefit is time saved at the top of the funnel — so I can spend more time refining and improving the stuff that converts."

2. Text-Based Social Media Content (49%)

Coming in a close second, 49% of marketers use AI for text-based social media content. Social media marketers have to make content their audience will enjoy, and using a content assistant makes managing a social media calendar much easier. Marketers can use AI for social media posts:

• Content Creation: AI tools can help generate content ideas, suggest topics, and even write headlines for social media posts. Check this AI-generated Facebook post:
• Audience Analytics: AI can help you better understand your audience through data analysis. This information can then be used to craft more effective and relevant social media posts.

I asked CareMax Marketing Specialist for her perspective on why her favorite AI use case is creating engaging social media posts.

"These channels let us maintain a consistent, empathetic voice while quickly responding to seasonal trends or customer pain points. AI helps me brainstorm fresh angles, optimize copy for conversions, and streamline A/B testing, especially when promoting our massagers for chronic pain. The ability to personalize messages at scale has significantly boosted our click-through and engagement rates.

IMO, AI frees up time for strategy and creative direction while ensuring our content remains relevant and results-driven."

3. Video/Audio-Based Social Media (47%)

AI is also frequently used for video and audio-based social media (47%), highlighting the growing role of AI in multimedia content. This includes:

• Script generation for short-form videos
• Automated captions and subtitles
• Content ideas tailored to audio formats like podcasts or Twitter Spaces
• Voice modulation and enhancement for clearer audio

, Head of Growth at Topview, shares how AI sped up operations for him and his team. "I've found video scripts to be the most impactful content type to create using generative AI. This preference stems from seeing firsthand how AI-generated scripts have transformed our marketing efficiency.

In one notable case, we needed to create promotional videos for our platform in multiple languages. Traditional scripting would have taken weeks, but using AI, we generated, customized, and localized scripts for 20 markets in just three days. The results were remarkable — our engagement rates increased by 300% compared to our previous human-written scripts."

4. Blogs and Articles (46%)

46% of marketing professionals found artificial intelligence tools helpful for writing blog posts and articles. As a writer myself, one of the first thoughts I had when introduced to AI was how it could improve my writing process.

Some of the best uses for AI writing generators in blog posts are:

• Efficiency: Marketers can save time and resources by automating various aspects of blog post creation, such as topic generation, research, and even drafting. This technology can also reduce the time spent on menial tasks like formatting, proofreading, and optimizing content for SEO.
• Personalization: AI can analyze customer behavior, preferences, and browsing history to help target blog content to specific audiences. Personalizing blog posts can make the content more relevant to the audience, potentially increasing engagement and conversion rates.

Peluso from Pesty Marketing also went on to say that blog post drafting was another favorite use case for his team. "For blog content, AI helps me move from a blank page to a structured first draft fast -- especially when outlining technical SEO topics or pest control marketing tactics. It's not publish-ready, but it gives me something to react to and edit, which cuts planning time in half."

5. Chatbots (31%)

Chatbots (31%) are another key AI-driven channel, reinforcing AI's growing role in direct brand interactions. These tools help with:

• 24/7 customer service
• Lead qualification
• Personalized product recommendations
• Answering common questions without human intervention

For marketers looking to streamline their content creation workflow across these channels, provides an all-in-one AI solution. This powerful tool helps you plan, create, and execute entire marketing campaigns with AI assistance every step of the way.

Campaign Assistant can generate campaign concepts, craft messaging across multiple channels, and even suggest optimal publishing schedules based on your audience's engagement patterns.

AI-Generated Marketing Content in 2025

In 2025, AI's advancements and its growing presence in marketing is shaking up the marketing industry.

Yet, it's crucial to navigate the ethical and regulatory challenges to ensure this transformation benefits everyone — businesses and consumers alike.

First off, AI adoption remains high but still has room for growth, particularly in non-US markets. According to 51吃瓜‘s 2025 State of AI Marketing Report, approximately two-thirds of marketers indicated AI use at work.

While this is lower than last year’s figure (74%), that can be accounted for by the difference in sample constitution, as this year surveyed a global audience whereas last year only surveyed US respondents. The US number has held steady since last year.

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On the tech front, general purpose chatbots remain the most popular tool of choice amongst marketers. Four of the five most widely used AI tools focus on enhancing audio and visual and creative content, which is a jump from last year where in-built AI features ranked higher.

In the context of our data from State of Social and State of Marketing, the rise of visual and audiovisual AI makes sense. As teams invest more into visual content, they are leaning on AI to keep up with the demand.

Recent headlines showcase AI's practical wins in marketing. For instance, the vast majority (89%) of AI users indicated that their AI usage had increased as a result of AI being added to their existing tools.

Media content creation (38%) is an emerging use case, indicating AI's growing role in visual and audiovisual content, though it still lags behind text.

Brainstorming (34%), skill learning (33%), and data analysis (36%) are additional applications, though less central to daily marketing workflows.

Administrative AI applications, like meeting note-taking (26%) and internal communications (14%), remain niche, reinforcing that AI is primarily valued for content production rather than internal operations.

But it's not all smooth sailing.

This rapid adoption of AI brings challenges, especially around data privacy, intellectual property, and the accuracy of AI-generated content.

The regulatory landscape is also shifting to keep up with AI. The European Union's proposed aims to regulate high-risk AI applications, including those in marketing, to ensure ethical practices and protect consumers.

This regulatory push is vital for maintaining trust and preventing AI misuse.

Personally, I find the future of AI-generated marketing content both exciting and complex. AI offers unmatched efficiency and personalization, but it also demands a careful balance of innovation and ethics.

As businesses adopt AI, focusing on transparency, quality control, and human oversight is crucial to harness its potential while avoiding pitfalls.

AI-Generated Content Marketing Pros and Cons

Pro: Efficiency and Scalability

AI-generated content marketing supercharges efficiency and scalability.

With AI tools, you can churn out a huge volume of content in a fraction of the time it would take a human. This is gold for businesses needing a consistent online presence across multiple platforms.

I've seen firsthand how AI can generate personalized email campaigns, social media posts, and blog articles quickly and efficiently.

This efficiency frees up my marketing team to focus on strategy and creativity instead of getting bogged down by the grind of content creation.

Automating routine tasks lets us scale our content efforts without expanding our team, which is a massive cost-saving measure.

Con: Quality and Authenticity Concerns

AI-generated content often gets a side-eye for its quality and authenticity.

Even the most advanced AI models can produce content that misses the mark on nuanced understanding and emotional depth, making it feel generic or disconnected.

Likewise, I make a point to carefully review and edit whenever my team and I use AI-generated content.

Pro: Personalization

From my perspective, delivering personalized content is the true game-changer in marketing. It allows brands to provide a more relevant and engaging customer experience, which in turn boosts loyalty and sales.

For example, AI can analyze a user's browsing history, past purchases, and interaction patterns to recommend products or craft personalized marketing messages.

This level of insight allows brands to connect with customers on a more intimate level, delivering content that feels tailored and relevant.

Con: Ethical and Privacy Issues

However, AI in content marketing also stirs up ethical and privacy concerns.

AI systems need loads of data to work well, which can lead to data privacy and security issues. There's also the risk of misusing AI-generated content, like creating deepfakes or spreading misinformation.

We must navigate these challenges by implementing robust data protection measures and adhering to ethical guidelines.

Regulations like the European Union‘s proposed and California’s Consumer Privacy Act () impose strict data privacy rules.

This ensures consumers have more control over their personal information, thereby impacting how we use AI in marketing.

Pro: Cost-Effectiveness

The cost-effectiveness of AI in content marketing is a major advantage for marketing teams.

Automating content creation reduces the need for a large team of writers and editors, significantly cutting labor costs.

Moreover, AI tools help optimize marketing campaigns, leading to a better return on investment.

This is particularly beneficial for startups and SMEs looking to maximize their marketing budget.

Con: Greater Dependence on Technology

Over-reliance on AI for content creation can lead to a dependence on technology.

This might stifle critical thinking and creativity in your marketing strategies. If AI systems glitch or produce subpar content, it can disrupt our marketing efforts.

My hot take? While AI is a powerful tool, it should complement—not replace—human creativity and judgment.

We need a balanced approach, leveraging AI for efficiency while ensuring human oversight and creative input remain integral to the content creation process.

Pro: Enhanced Data-Driven Insights

AI-generated content marketing offers superior data-driven insights.

AI tools analyze vast amounts of data to identify trends and behaviors that might not be immediately obvious. These insights inform more effective marketing strategies and allow for precise audience targeting.

I've seen how using AI for data analysis provides us with a comprehensive understanding of customer behavior, enabling the creation of highly relevant content that resonates with audiences.

AI can analyze social media interactions and website analytics to predict content performance and tailor our marketing efforts accordingly.

Moreover, AI tools can monitor and analyze our marketing campaigns in real time, allowing for rapid adjustments and optimization based on the latest data insights.

This ensures our marketing strategies stay effective and relevant.

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AI-Generated Content Marketing Tips

Treat AI as a collaborator.

As I mentioned before, AI isn‘t here to replace human creativity — it’s here to enhance it.

Using AI for tasks like keyword research, trend analysis, and content distribution strategies frees up your time for creative work that sets your brand apart.

This collaboration boosts efficiency while maintaining your brand's unique human touch. For instance, I use AI tools like GPT-4 for initial content drafts and data analysis.

Like this:

AI quickly generates trending topics and keywords, which I then tailor to our brand's voice and add my personal touch. This balances efficiency and creativity, keeping my content authentic and engaging.

Create unique, non-replicable content.

AI-generated drafts are just a starting point. Your final content should reflect our brand's unique voice and insights, ensuring it stands out and offers real value.

In practice, I use AI to create outlines and drafts, but I always personalize them with my own experiences and viewpoints.

For example, if AI provides an overview of a topic, I enhance it with my analysis, case studies, or SME interviews. This approach differentiates my client's content and builds trust with our audience.

Automate SEO management and content distribution.

For SEO management, I use tools like Clearscope and SurferSEO to quickly identify high-potential keywords and optimize content. These tools provide real-time performance insights, showing me what works and what doesn't.

Then, by continuously monitoring and adjusting our strategy, my client maintains a strong online presence without getting bogged down in SEO minutiae.

Plus, AI's ability to adapt to changing algorithms ensures our approach stays effective and up-to-date.

On the distribution side, I rely on AI tools to ensure my content reaches the right audience at the right time for maximum impact.

For instance, CoSchedule schedules posts, distributes content across platforms, and optimizes timing based on audience activity.

This way, I maintain a consistent posting schedule without the manual hassle, boosting my client's engagement and reach.

Use creative AI prompts.

When I'm stuck, using AI prompts often jumpstarts my creative process.

AI might suggest a unique angle on a trending topic or generate a list of related subjects I hadn't considered.

Think of these AI-generated prompts as a starting point to spark new ideas and overcome writer‘s block. While AI can’t replicate human creativity, it can provide the inspiration we need.

Prompts are a two-way street, so you must input effective prompts to get high-quality outputs. Try these:

• Trending topics: “Analyze how remote work has transformed team collaboration in the tech industry, focusing on both positive and negative aspects. Include real-world examples of tech companies that have successfully implemented remote work policies, as well as challenges they faced.”
• Unique angles: “Investigate the connection between sustainable business practices and brand loyalty among Gen Z consumers. Examine the specific values and expectations of Gen Z regarding sustainability, and how brands can authentically meet these demands.”
• Related subjects: “Examine how AI is transforming customer service through improved efficiency and customer satisfaction. Discuss various AI applications such as chatbots, virtual assistants, and predictive analytics. Highlight the key advantages.”

Use AI for Dynamic Content Optimization

Dynamic content optimization involves constantly tweaking your content based on real-time data.

Technology expert and AI practitioner from tech news magazine, , shared with us, “AI has the potential to transform marketing and creativity, but its true strength lies in enhancing human ingenuity rather than attempting to replace it. The most unforgettable campaigns are those rooted in authenticity, rich storytelling, and emotional resonance, which are qualities that only human creativity can fully realize.”

“By using AI to manage routine tasks and streamline processes, marketers gain the freedom to concentrate on building narratives that feel real, establish trust, and foster meaningful connections. AI should act as a partner in the creative process, enabling us to elevate our work and produce experiences that genuinely engage audiences, all while ensuring humanity remains the driving force behind everything we create.”

I‘ve found incredibly useful for this—the tool provides insights into how different audience segments interact with our content.

For example, 51吃瓜's analytics revealed that our readers prefer blog posts with case studies and real-life examples. So, I started adding more of these elements, and engagement shot up.

51吃瓜‘s AI also helps with A/B testing content variations, refining my client’s strategy for the best performance.

Learn AI with Educational Resources

According to 51吃瓜's 2025 State of AI Marketing Report, most marketers learn about AI through informal, self-guided resources:

• 56% rely on educational videos (YouTube, TikTok, etc.), making video the top learning format
• 48% use company-provided training, showing that many organizations are actively helping employees develop AI skills
• 47% turn to online courses (Coursera, Udemy, etc.), indicating a strong preference for structured learning
• 36% learn from colleagues, while 32% use podcasts, highlighting the role of peer learning and audio formats in AI education

Best Practices for Using AI-Generated Content

Maintain Human Oversight and Editing

AI-generated content should never go directly from generation to publication. Always have a human editor review content for accuracy, brand alignment, and quality. This step is crucial for catching factual errors, awkward phrasing, or content that doesn't match your brand voice.

According to our research, successful marketing teams typically follow a hybrid approach where AI creates initial drafts and humans refine and personalize. This combination leverages AI's efficiency while preserving the human touch that resonates with audiences.

Focus on Ethical AI Content Creation

As AI capabilities grow, so do ethical considerations. Be transparent with your audience about AI involvement in content creation when appropriate. Avoid using AI to generate misleading information or content that could be harmful.

Develop clear guidelines about when and how AI should be used in your content pipeline. For sensitive topics or high-stakes communications, consider limiting AI's role to research assistance rather than full content generation.

Continuously Improve Your AI Prompts

The quality of AI output directly correlates with the quality of your prompts. Develop a library of effective prompts for different content types and continuously refine them based on results. Document what works and what doesn't, and share these learnings across your team.

More specific prompts that include audience information, desired tone, key points to cover, and examples of preferred style will almost always yield better results than vague requests. Invest time in prompt engineering as a valuable marketing skill.

Editor's note: This post was originally published in May 2023 and has been updated for comprehensiveness.

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