{"id":5528,"date":"2025-07-21T11:00:00","date_gmt":"2025-07-21T11:00:00","guid":{"rendered":"http:\/\/nurseagence.com\/?p=5528"},"modified":"2025-07-25T15:08:17","modified_gmt":"2025-07-25T15:08:17","slug":"heres-how-and-why-marketers-are-using-ai-generated-content-new-data-tips","status":"publish","type":"post","link":"http:\/\/nurseagence.com\/index.php\/2025\/07\/21\/heres-how-and-why-marketers-are-using-ai-generated-content-new-data-tips\/","title":{"rendered":"Here\u2019s how (and why) marketers are using AI-generated content [new data & tips]"},"content":{"rendered":"
Did you see the viral AI ad<\/a> aired at the NBA finals? Crazy visuals, impeccable product integrations, 3.3M views on X. I almost couldn\u2019t believe it was completely AI-generated content.<\/p>\n An AI film-maker co-wrote the script with Gemini<\/a>, generated Veo-3 prompts and videos, and edited clips on Capcut, all with a budget of just $2,000.<\/p>\n This ad made me realize we\u2019ve hit a tipping point in AI-generated content. If you\u2019re a content marketer, you need to pay attention to AI now.<\/strong><\/p>\n In this blog post, I\u2019ll dive deeper into the top AI-generated marketing content types, using data from HubSpot\u2019s State of AI survey<\/a>, which includes insights from over 1,500 U.S. marketers. I\u2019ll also share AI content examples and tips so you can see the potential in action.<\/p>\n Table of Contents<\/strong><\/p>\n <\/a> <\/p>\n According to HubSpot\u2019s State of Marketing 2025 survey, marketers think it\u2019s time to go all in on AI.<\/p>\n And I completely agree.<\/p>\n First off, AI adoption remains high but still has room for growth, particularly in non-US markets. According to HubSpot\u2019s 2025 State of AI Marketing Report, approximately two-thirds of marketers indicated AI use at work.<\/p>\n While this is lower than last year\u2019s 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 U.S. respondents. The U.S. number has held steady since last year.<\/p>\n On the tech front, we\u2019re seeing improvement on multiple fronts. Models like GPT-4 and Claude 3.5 now have great reasoning and writing capabilities.<\/p>\n AI agents are also becoming more powerful. Technologies like the Model Context Protocol (MCP), which allow LLMs and agents to share information with each other, are pushing us towards the agentic era.<\/p>\n In the context of marketing, AI has seen widespread adoption and practical wins. The vast majority (89%) of AI users indicated that their AI usage had increased as a result of it being added to their existing tools.<\/p>\n 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.<\/p>\n 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.<\/p>\n But it\u2019s not all smooth sailing.<\/p>\n AI doesn\u2019t have the best reputation when it comes to accuracy and biases. AI-powered recruiting can have built-in age-discrimination<\/a> Sometimes, it even tells business owners to break the law<\/a>.<\/p>\n The regulatory landscape is shifting to attempt to mitigate AI risks and keep up with the pace of innovation.<\/p>\n At the time of writing this article, over 70 countries<\/a> have their own AI policies and frameworks to promote responsible AI development. The European Union’s proposed AI Act<\/a> aims to regulate high-risk AI applications, including those in marketing, to ensure ethical practices and protect consumers.<\/p>\n This regulatory push is vital for maintaining trust and preventing AI misuse.<\/p>\n Most marketers I\u2019ve spoken to share a similar sentiment:<\/strong> excited about everything they can do with AI, but nervous about the potential impacts on their jobs and the constant pressure to upskill.<\/p>\n Personally, as someone who has always been drawn to automation, I find AI-generated content fascinating. At the same time, I can\u2019t ignore the impact it will have on society as a whole.<\/p>\n Let\u2019s look at the pros and cons of AI-generated content marketing.<\/p>\n <\/a> <\/p>\n With AI, teams have become leaner. One person with the right AI model and prompt can recreate work that previously needed a creative team and weeks of effort. 55% of the marketers we surveyed cite time savings as the key reason why they use AI.<\/p>\n Additionally, 65% of marketers say that AI allows them to focus on more creative aspects of their job by freeing up their time. Meanwhile, companies are actively looking for areas to automate so resources can be allocated more efficiently.<\/p>\n For instance, Shopify CEO Tobias L\u00fctke has an aggressive approach to drive AI adoption<\/a>. His internal memo states, \u201cBefore asking for more headcount and resources, teams must demonstrate why they cannot get what they want done using AI.\u201d<\/p>\n Companies are also building out their own \u201cAI team members.. Over 66% of marketers<\/a> plan to build out internal tools for their marketing teams, expecting a 45% cost reduction to external tools.<\/p>\n Simply put, AI allows teams to scale without increasing headcount.<\/p>\n AI-generated content often gets a side-eye for being too robotic or making up facts. Based on HubSpot\u2019s AI survey, marketers continue to have serious concerns about generative AI:<\/p>\n Of course, your experience might be different based on the model you use, how you\u2019re prompting it, and the subject matter itself. AI might do okay while generating an email for a team update, but it may make up facts while writing about the latest advancements in data science.<\/p>\n I\u2019ve found it often confuses software versions, report statistics, and references outdated information. Video generators like Veo-3 also frequently produce misspelled subtitles.<\/p>\n As HubSpot channel monetization lead Alexe Cunningham mentions<\/a>, \u201cAI is there to help us but isn\u2019t the source of truth. It\u2019s a jump start on whatever we are doing. We always check our work.\u201d<\/p>\n AI videos as cold DMs. Dynamic content delivery based on past preferences. Personalized real-time recommendation systems.<\/p>\n Sound like a lot of work? This level of personalization would be impossible to achieve manually (especially if you have thousands of visitors). However, AI can personalize all of this and more at scale.<\/p>\n For instance, HubSpot\u2019s demand gen team used AI to comb through thousands of customers and send personalized content recommendations to them. One result was a cold brew company that had downloaded influencer marketing resources and also showed interest in content planning for seasonal launches.<\/p>\n Instead of generic resources, HubSpot\u2019s AI system recommended a content marketing course with a targeted copy. Here\u2019s what they sent: \u201cTurn every sip into a story that captivates and converts.\u201d<\/p>\n Using AI can help your brand stop the scroll and deliver an engaging and intimate experience to your customers.<\/p>\n AI systems are trained on loads of data, some of which are sourced quite questionably. I\u2019ve seen lawsuits on models scraping private user data without consent. Artists have also filed lawsuits against AI companies<\/a> for training on copyrighted artwork.<\/p>\n In a world where AI can create convincing deepfakes and fabricated case studies, it\u2019s becoming difficult for customers to know what\u2019s actually real.<\/p>\n Countries are investing heavily in a broader AI strategy to help combat ethics and privacy issues. Along with GDPR, regulations like the European Union\u2019s proposed AI Act and California’s Consumer Privacy Act (CCPA) impose strict data privacy rules. Data marketplaces like Kaggle help provide legal and standardized data, but the battle of privacy and ethics with AI is far from over.<\/p>\n With the release of models like OpenAI\u2019s deep research and GPT-4, AI has become powerful in research and data analysis.<\/p>\n I recently tested some AI tools for Excel<\/a> for another article and was pretty impressed at how ChatGPT processed complex datasets. I uploaded months of YouTube data, and it was able to identify content patterns and formats that I had missed. These insights were immensely helpful for my content strategy going forward.<\/p>\n Similarly, AI can help with analyzing and tweaking content performance across campaigns.<\/p>\n Con: Greater Dependence on Technology<\/strong><\/p>\n I came across an interesting study by MIT<\/a>. Researchers had students write SAT essays. Some of them were allowed to use ChatGPT, while others weren\u2019t. The results are honestly a bit scary, given how every marketer is learning AI right now.<\/p>\n Students using ChatGPT showed the lowest brain engagement and barely remembered what they wrote shortly after. By the third essay, they had given up completely and simply copied and pasted what ChatGPT provided.<\/p>\n This shows how AI can become a crutch, even when you don\u2019t want it to.<\/p>\n So, does that mean you should completely write off AI and do everything manually? Definitely not.<\/p>\n The study also showed that students who first wrote the essays themselves and then used AI to enhance their writing performed better than both the previous groups. The takeaway here is: use AI to amplify your creative process, not replace it.<\/p>\n It\u2019s essential to be mindful of your AI usage and consider setting limits. I prefer to work on a rough draft or content strategy before I head to AI to polish it. You can choose to complete some projects without using AI at all.<\/p>\n <\/a> <\/p>\n According to HubSpot’s 2025 State of AI Marketing Report<\/a>, marketers are using AI most heavily for the following three use cases.<\/p>\n I personally find emails the most challenging content format to get right. You\u2019re competing for attention against hundreds of emails an average person receives daily. One wrong word, and you\u2019re either in the spam or promotions folder, killing your open rates.<\/p>\n Even when you make it to the primary inbox, you\u2019ve seconds to convince them to open your email and take action. This is why 51% of marketers use AI to help them with email and newsletter content.<\/p>\n You can use AI to brainstorm campaigns, personalize emails, and A\/B test results. Here\u2019s how.<\/p>\n Pro tip:<\/strong> Tools like HubSpot’s AI Email Writer<\/a> help me generate multiple variations of my emails for efficient A\/B testing.<\/p>\n Source<\/em><\/a><\/p>\n Coming in a close second, 49% of marketers use AI for text-based social media content, and 47% for video\/audio generation. Honestly, I\u2019m surprised it’s not the first.<\/p>\n Since I work extensively in social media, I\u2019m noticing a clear trend toward AI-generated content across industries. Apart from the AI ad I mentioned earlier, my feed is filled with influencers using AI-generated avatars to create videos faster.<\/p>\n Personally, I use AI as a content assistant. For instance, one of my clients has built a CustomGPT trained on years of his posts. So, instead of writing his content from scratch, my job is to feed unique research into the GPT and then refine the output for flow and accuracy.<\/p>\n Here\u2019s how other marketers are using AI for social media.<\/p>\n I spoke with Spencer Tahil<\/a>, an AI consultant at Growth Alliance<\/a>, and thought his content creation process was quite interesting. He turns meeting transcripts into on-brand LinkedIn posts using a series of AI prompts. These prompts create a voice profile by identifying unique communication patterns, linguistic preferences, and then calibrating the final output.<\/p>\n \u201c[Using this system], I get content that actually sounds like me \u2014 not some corporate robot. I’m getting 95% usable content on the first draft, saving me hours every week,\u201d he told me.<\/p>\n Quality long-form content can do a lot for your business: drive sales-qualified leads, build authority, and nurture your leads. However, it also can take forever to write.<\/p>\n That\u2019s why 46% of marketers (and me!) are actively using AI for writing blog posts and articles. Here are some ways you can use AI writing generators<\/a> for long-form content.<\/p>\n Daria Bulatovych, a content strategist at TripRobotics<\/a>, told me how AI helped her cut down her blog creation time.<\/p>\n \u201cA typical piece took a full workweek: 3-4 days of research, 1.5 days of writing, and additional time for edits and SEO optimization. However, I can now create equally strong content in just 1.5 days [with GPT4]. These articles drive consistent traffic in a highly competitive niche.\u201d<\/p>\n Pro tip:<\/strong> Ready to use AI and speed up your long-form creation process? I\u2019d suggest opting for HubSpot Breeze as your end-to-end content assistant. Breeze can<\/a> ideate, create, and distribute content that speaks to your customers.<\/p>\n The best part? Breeze natively syncs with HubSpot\u2019s CRM<\/a> to pull up data and insights from your sales funnels. You get content strategies perfectly aligned to your marketing funnel without switching between multiple tools.<\/p>\n <\/a> <\/p>\n I like to treat AI as an intern. Just like you wouldn\u2019t hand over your business to a new team member and expect them to fix everything, don\u2019t expect AI to give you polished results without context.<\/p>\n I view AI as a collaborator to my business. That means I set up projects with onboarding documents: business goals, strategy documents, current initiatives, and more. Just like training an intern, I set clear expectations on how I want it to help me.<\/p>\n When you collaborate with AI, you\u2019ll start to unlock efficiency gains. For instance, I use AI for editing first drafts for flow, brainstorming visuals for content pieces, and gaining insights from my data.<\/p>\n The best part? I can delegate assignments to AI 24\/7, get revisions back in seconds, and prompt it to refine the work till I get what I need. But just like human teammates, you get what you put in.<\/p>\n AI-generated drafts are just a starting point. Your final content should reflect your brand\u2019s unique voice and insights, ensuring it stands out and offers real value.<\/p>\n Here are some elements I include to make my content unique and non-replicable:<\/p>\n So, even if you use AI to generate a first draft, make sure you personalize it with real-world experience.<\/p>\n AI has the potential to automate a lot of your content creation process. The question is: Should you let it?<\/p>\n There is no blanket answer because using AI is heavily dependent on your priorities, current processes, and goals.<\/p>\n For instance, I prefer not to use AI for my personal social content. Since I don\u2019t have a library of content that performs well already, there is no context for AI to build on. It can\u2019t replicate my voice (yet), because even I am not sure what my voice is.<\/p>\n Typically, I write first drafts myself and then ask AI to polish and tighten the copy. I also turn to AI for content ideas when I’m stuck.<\/p>\n On the other hand, marketers like Jess Cook from Vector<\/a> have built a system around automating founder-led content at scale. I find her approach incredibly effective, and maybe in the future, it\u2019ll make sense for me too.<\/p>\n Similarly, if you\u2019re an SEO company, you\u2019d want to build AI processes around keyword research automation or audits. In contrast, if you specialize in thought leadership, you\u2019d want to automate research while keeping the insights human.<\/p>\n Resist the temptation to automate every content task, and focus on the ones that will actually move the needle for you.<\/p>\n Good content starts with good prompts. If you want to create AI-generated content at scale, prompting is the first thing you should learn.<\/p>\n After testing and iterating over hundreds of prompts, I\u2019ve learned that good prompts are clear and specific. The more context, examples and data you can give AI, the better output it\u2019ll give you.<\/p>\n Here are four things I recommend you add to your prompts:<\/p>\n AI is getting better every single day.<\/p>\n A few months ago, I had to generate AI video and audio separately and sync them separately. Today, I can just use Veo-3 to produce incredibly realistic videos with natively synced audio.<\/p>\n Similarly, OpenAI\u2019s Deep Research agent<\/a> has become incredibly helpful when I am writing a data-heavy article. While it might not always be 100% accurate for recent news, it easily saves me 10+ research hours every week.<\/p>\n If you want to leverage AI fully for your marketing workflows, I\u2019d suggest making a habit of testing new AI features, models, and tools. I usually follow AI newsletters, such as The Rundown AI<\/a>, to find these tools and stay up-to-date.<\/p>\n<\/a><\/p>\n
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Marketers, AI-Generated Content, and Today\u2019s AI Landscape<\/strong><\/h2>\n
AI-Generated Content in Marketing: Pros and Cons<\/strong><\/h2>\n
Pro: Efficiency and Cost-Effectiveness<\/strong><\/h3>\n
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Con: Quality and Authenticity Concerns<\/strong><\/h3>\n
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Pro: Personalization<\/strong><\/h3>\n
Con: Ethical and Privacy Issues<\/strong><\/h3>\n
Pro: Analysis and Research Capabilities<\/strong><\/h3>\n
The Top 3 Content Types for Generative AI<\/strong><\/h2>\n
1. Emails and Newsletters (51%)<\/strong><\/h3>\n
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2. Social Media Content (49% for Text-Based, 47% for Video\/Audio)<\/strong><\/h3>\n
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3. Long-Form Content \u2014 Blogs, Articles, etc. (46%)<\/strong><\/h3>\n
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5 Tips for Using AI-Generated Content in Marketing<\/strong><\/h2>\n
1. Treat AI as a teammate.<\/strong><\/h3>\n
2. Edit, edit, edit.<\/strong><\/h3>\n
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3. Choose the right content tasks to automate.<\/strong><\/h3>\n
4. Work on your prompts.<\/strong><\/h3>\n
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5. Keep up with AI.<\/strong><\/h3>\n