Did you see that? Viral Ai ad broadcast in the NBA final? Crazy graphics, impeccable product integrations, 3.3 million views on X. I almost couldn’t believe that it was a fully generated content.
A AI filmmaker wrote the script TwinsGenerated VEO 3 inputs and videos and edited clips on Capcut, all with a budget of only $ 2,000.
This ad clearly noticed that we have achieved a turning point in the content of ai-generated tips. If you are a content marketer, you have to pay attention to AI now.
In this blog post, I dive deeper into the top marketing inventory types, whereby I used data from Drift Kings Medias AI survey by HubSpot, which contains an insight of over 1,500 US marketers. I will also pass on AI content examples and tips so that you can see the potential in action.
Table of contents
Marketer, content of AI-generated and today’s AI landscape
According to Drift Kings Media’s State of Marketing 2025 survey, marketers believe that it is time to deal with AI.
And I fully agree.
First of all, the introduction of AI is still high, but still has growth space, especially in the US markets. According to Drift Kings Medias report by Drift Kings Media 2025 AI Marketing report, about two thirds of the marketers stated at the work of AI.
Although this is lower than last year (74%), this can be taken into account by the difference in the sample constitution, since a global audience was interviewed this year, while only the US sustainers were interviewed last year. The US number has been stable since last year.
On the Tech front we see improvements on several fronts. Models such as GPT-4 and Claude 3.5 now have great arguments and writing skills.
AI agents are also becoming more powerful. Technologies such as the model context protocol (MCP), with which LLMs and agents can share information with each other, are pushing us into the agents.
In the context of marketing, AI has widespread acceptance and practical victories. The vast majority (89%) of the AI users stated that their AI use had increased due to their existing tools.
The creation of media content (38%) is an emerging application that points to the growing role of AI in visual and audiovisual content, even though it is still behind text. Brainstorming (34%), Skills Learning (33%) and data analysis (36%) are additional applications, although less central for daily marketing workflows.
Administrative AI applications such as fulfilling notes (26%) and internal communication (14%) remain a niche, which increases the strengthening of AI primarily for the production of content and not for internal processes.
But not everything is to be sailed smoothly.
AI does not have the best reputation when it comes to accuracy and prejudices. Recruitment of AI companies built -in age discrimination Sometimes it even says Business owner to break the law.
The regulatory landscape shifts to try to mitigate the AI risks and keep up with the pace of innovation.
At the time of writing this article 70 countries Have your own AI guidelines and framework conditions to promote responsible AI development. The proposed of the European Union Ai act The aim is to regulate high-risk AI applications, including marketing, to ensure ethical practices and to protect consumers.
This regulatory push is of crucial importance for maintaining trust and preventing AI abuse.
Most of the marketers that I spoke to a similar feeling: Excited about everything you can do with AI, but nervous about the possible effects on your work and the constant pressure on Upskill.
Personally, as someone who has always been attracted by the automation, I find fascinating content fascinating by A-generated content. At the same time, I cannot ignore the effects on society as a whole.
Let’s take a look at the advantages and disadvantages of AI-generated content marketing.
AI-generated content in marketing: advantages and disadvantages
Pro: efficiency and cost efficiency
Teams have become slimmer with AI. A person with the right AI model and the command prompt can restore the work that previously needed a creative team and a weekly effort. 55% of the marketers we interviewed cite time savings as the main reason why they use AI.
In addition, 65% of the marketers indicate that AI enables them to concentrate on creative aspects of their job by freeing their time. In the meantime, companies are actively looking for areas to automate automatically so that resources can be assigned more efficiently.
For example, Shopify CEO Tobias Lütke has An aggressive approach to accept the KI introduction. In his internal memo it says: “Before you ask for more employees and resources, the teams have to prove why they cannot get what they want to do with AI.”
Companies also build up their own “KI team members. 66% of the marketers Plan to build internal tools for your marketing teams and expect a cost reduction of 45% for external tools.
Simply put, Ki enables the teams to scale without increasing the number of employees.
Con: quality and authenticity concerns
AI-generated content often receives a side eye to be a robot or invent facts. Based on the HubSpot AI survey, marketers continue to have serious concerns about the generative AI:
- 43% say that AI sometimes provides inaccurate information.
- 34% say AI can be biased.
- 30% believe that AI creates a vague content on the surface level.
Of course, your experience can vary due to the model you use, your request and the topic itself. AI could do it well if she generates an e -mail for a team update, but it can make up facts while writing about the latest progress in data science.
I have found that it often confuses software versions, report statistics and references outdated information. Videogenicers like Veo-3 also produce frequently missed subtitles.
As a HubSpot channel, Monetarization leads Alexe Cunningham Mentions“AI is there to help us, but not the source of truth. It is a jump we do. We always check our work.”
Pro: personalization
Ki videos as cold DMS. Dynamic content of content based on previous settings. Personalized real-time recommendation systems.
Sounds like a lot of work? This personalization would be impossible to achieve manually (especially if you have thousands of visitors). AI, however, can personalize all of this and more in scale.
For example, Demand Gen team ki used to comb through thousands of customers and to send personalized content recommendations to them. One result was a cold brew company that had downloaded influencer marketing resources and also showed interest in the content planning for seasonal starts.
Instead of generic resources, the HubSpot AI system recommended a content marketing course with a targeted copy. Here is what you have sent: “Transfer every sip into a story that captivates and converted.”
The use of AI can help your brand to stop the scroll and offer your customers an appealing and intimate experience.
Con: ethical and data protection issues
AI systems are trained on data load, some of which are very questionable. I saw complaints on models that scrape off private user data without consent. Artists have it too Submitted complaints against AI companies for training on copyrighted works of art.
In a world in which AI can create convincing Deeppakes and invented case studies, it is always difficult for customers to know what is actually real.
The federal states invest very strongly in a wider AI strategy to combat ethics and data protection issues. Together with the GDPR, such as the proposed AI Act of the European Union and the California consumer Privacy Act (CCPA), strict rules for data protection. Data marketplaces such as Kaggle provide legal and standardized data, but the struggle for privacy and ethics with AI is far from over.
Pro: analysis and research skills
With the publication of models such as Openais Deep Research and GPT-4, AI has become efficient in research and data analysis.
I recently tested some AI tools for Excel for another article and was rather impressed by how Chatgpt processed complex data records. I uploaded youtube data for months and it was able to identify content and formats that I had overlooked. These findings were immensely helpful for my future content strategy.
Similarly, AI can help with the analysis and optimization of the content in the campaigns.
Con: greater dependence on the technology
I came across an interesting one Study of MIT. Researchers had the students write Sat essays. Some of them were allowed to use Chatgpt, others were not. To be honest, the results are a little scary because every marketer is learning AI.
The students who used chatt showed the lowest brain engagement and hardly remembered what they had written shortly afterwards. In the third essay, they had completely abandoned and simply copied and inserted what Chatgpt made available.
This shows how AI can become a crutch, even if you don’t want it.
So does that mean that you should copy AI completely and do everything manually? Under no circumstances.
The study also showed that pupils who first wrote the essays themselves and then wrote with AI to improve their letter than both earlier groups. Taking with us is: Use AI to strengthen and not replace your creative process.
It is important to be aware of your AI usage and to take into account the determination of limits. I prefer to work on a coarse design or a content strategy before going to the AI to polish it. You can complete some projects without using AI.
The top 3 content types for generative AI
1. E -emails and newsletter (51%)
I personally find e -mails the most challenging content format to get right. They compete for attention to hundreds of e -mails that receive an average person daily. A wrong word and you are either in the spam or promotional folder and kill your open prices.
Even if you make it into the primary inbox, you have convinced you for seconds to open your e -mails and take measures. For this reason, 51% of the marketers use KI to support you e -mail and newsletter content.
You can personalize with AI brainstorming campaigns, e -mails and A/B test results. As well as.
- E -mail strategy. Instead of guessing what your customers want, AI can help you find out what you actually deal with. Feed your ideal customer profile and ask you to reverse the type of news and subject lines to which you are most likely to click. Use this information to inspire your e -mail strategy. I also use AI to Brainstorming -Lead -Magnet -Magnet and E -Mail sequences for Brainstorming -Lead.
- Personalization. Traditionally, the e -mail personalization is carried out in batches. They segment their audience according to a certain factor or a certain action and then exchange names, job titles or other details that they have filled out in a form. With AI, however, you can drive one-to-one personalization on a scale. For example, the Demand generation team used Drift Kings Media AI to increase the conversions by 82% by analyzing user behavior and the website data.
- A/B test. I have always found A/B tests a bit difficult, regardless of whether it is e -mails or social media. You have to advertise variations of the same e -mail, adapt several variables and then dig into the data. It is really easy to capture in analysis paralysis because it is a long and tedious process. Good news? AI can tackle a large part of the heavy lifting here. Use AI to carry out and personalize real-time data analysis, continuously refine A/B tests and measure the results.
Pro tip: Tools like Drift Kings Medias Ki -E -Mail writer Help me generate several variations of my e -emails for efficient A/B tests.
2. Social media content (49% for text-based, 47% for video/audio)
49% of the marketers use AI for text-based social media content and 47% for video/audiogenization. To be honest, I am surprised that it is not the first.
Since I work extensively on social media, I notice a clear trend towards content in the industry. Apart from the AI report, my feed is filled with influencers that use AI-generated avatars to create videos faster.
I personally use AI as a content assistant. For example, one of my customers has built up an adaptation adjustment that was trained in years of his contributions. Instead of writing its content from scratch, it is my job to feed unique research into the GPT and then refine the output for flow and accuracy.
So other marketers use AI for social media.
- Content. Ki tools can help generate content ideas, carry out heavy research, create initial designs and even generate realistic art and video. I would recommend checking the following tools: Chatt (Analysis), Sora (Image generation), Claude (Write), Veo-3 (Video creation) and Heygen (Ai avatare).
- Campaign automation. Posting and planning can be a tedious task, especially if you have many platforms to stay active. AI planning tools can completely take this from your plate. I use AI to automate posts across platforms, with optimized content for each. n8nA workflow automation software is also popular to repeat content and publish on various platforms.
- Analysis. Use AI in your social media analyzes to identify patterns between content formats, types and posting times. You can also analyze external data records to get insights into viral hooks and social trends. Once you have understood what works, you can create this data in your workflow for content and double it.
I spoke to Spencer TahilA AI consultant at Growth allianceAnd thought that his content -making process was very interesting. He turns transcripts into LinkedIn posts into the fire with a series of AI inputs. These input requests create a language profile by calibrating clear communication patterns, linguistic preferences and then the final edition.
“(With this system) I get content that actually sounds like me – not like a corporate robot. I get 95% usable content in the first draft and save me every week,” he told me.
3. Long form content blogs, articles, etc. (46%)
High -quality content can do a lot for your company: carry out sales qualified leads, build up authority and promote your leads. However, writing can also take forever.
That is why 46% of the marketers (and I!) Use AI to write blog posts and articles. Here are some options for how you can use AI writing generators for long-term content.
- Efficiency. In almost all parts of the creation process, AI can increase the efficiency gains with a long form. What I love most is that I don’t have to stare on an empty side to write a blog post. Marketers can use AI to generate blog outline, research and even generate initial designs. I also use it to identify logical or argumentative gaps in my pieces and tighten the copy.
- Content optimization. With AI you can easily analyze the type of content in your favor. For example, the analysis of Drift Kings Media has shown that our readers prefer blog posts with case studies and examples in real life. So I started adding more of these elements and increasing the engagement shot.
Daria Bulatovych, a table of contents TriboticI told me how Ki helped her shorten her time to create blogs.
“A typical piece accepted a full working week: 3-4 days of research, 1.5 days and additional time for changes and SEO optimization. However, I can create the same content in just 1.5 days (with GPT4). These articles drive constant traffic in a very competitive niche.”
Pro tip: Ready to use AI and speed up your creation process with a long form? I would propose to choose the decision Drift Kings Media Breeze as an end-to-end content assistant. Breek can Idate, create and distribute content that appeal to your customers.
The best thing about it? Breek vic synchronized with Drift Kings Media’s CRM To include data and findings from your seller. You will receive content strategies that are perfectly geared towards your marketing funnel without switching between several tools.
5 tips for using AI-generated content in marketing
1. Treat Ai as a teammate.
I like treating AI as an intern. Just as you do not hand over your company to a new team member and expect you to repair everything, do not expect AI to provide you with polished results without a context.
I see Ai as an employee of my business. This means that I set up projects with onboarding documents: business goals, strategy documents, current initiatives and much more. Just like an intern, I have set clear expectations on how I want it to help me.
When you work with AI, you will start opening up the efficiency gains. For example, I use AI for the processing of first designs for the river, the brainstorming of visuals for ingredients and the profits of insights from insights from my data.
The best thing about it? I can delegate orders around the clock, call up in seconds and ask them to refine the work until I get what I need. But just like human teammates, you get what they enter.
2. Edit, edit, edit.
AI-generated designs are only one starting point. Their final content should reflect the unique voice and knowledge of your brand and make sure that it stands out and offers a real value.
Here are some elements that I include in order to make my content unique and not repeatable:
- Personal opinions on a topic.
- Internal company data and product materials.
- Quotes from SME interviews.
- Actually testing products and tools.
- Behind the scenes film material and stories of a start.
- Photos and screenshots
- Strict facts
Even if you use AI to generate a first draft, make sure that you personalize it with real experience.
3. Select the correct content tasks.
AI has the potential to automate a large part of its content -making process. The question is: should you leave it?
There is no general answer because the use of AI strongly depends on its priorities, current processes and goals.
For example, I don’t prefer AI for my personal social content. Since I do not have a library with content that is already doing well, there is no context for AI on which I can build up. It cannot (yet) replicate my voice, because even I am not sure what my voice is.
I usually write myself first and ask the AI to polish and tighten the copy. I also contact AI for content ideas when I have.
On the other hand, Marketer like Jess Cook from Vector have built up a system for automation of content on the scale guided by the founders. I find your approach incredibly effective and maybe it will make sense for me too.
If you are an SEO company, you would like to create AI processes related to Keyword research automation or audits. On the other hand, if you specialize in the thought of thought, you would like to automate research and at the same time keep the knowledge human.
Resist the temptation to automate every content task and focus on those who actually move the needle for you.
4. Work on your input requests.
Good content begins with good requests. If you want to create AI-generated content on a scale, you should the first thing you should learn.
After testing and ittery over hundreds of requests, I learned that good requests are clear and specific. The more context, examples and data you can indicate AI, the better output there is.
Here are four things that I recommend that you add your input requests:
- role. Give AI a role to play. If you work on e -mails, ask that as a “e -mail specialist specialist with more than 10 years of experience”. I also specify the industry in which I work (e.g. SaaS) to get even more nuanced answers.
- Clay. Add the sound and the formatting you should answer with AI, e, g. Conversation, fun, nervous, short, punchy, etc.
- Context/examples. My most successful requests include examples in the real world. Think about: Contents that were previously well executed, examples of competitors, outlines, strategy documents and more.
- Restrictions. It is also important to specify what you want the output not look. Prefer guardrails to limit the AI hallucinations. This could look like “a simple language preferred to jargon, do not give any claims about the ROI without data that avoid the X publication”, etc.
5. Keep with AI.
AI gets better every day.
A few months ago I had to generate AI video and audio separately and synchronize separately. Today I can only use VEO-3 to produce incredibly realistic videos with native synchronized audio.
Similar, Openais Deep Research Agent It has become incredibly helpful when I write a data -heavy article. Although it may not always be 100% for the latest news, 10+ research times per week saves me.
If you want to fully use AI for your marketing workflows, I would recommend testing new AI functions, models and tools. Usually I follow AI newsletters, such as The dilapidated AIto find these tools and stay up to date.
The AI content game book of a marketer
In view of the rapid spread of AI-generated content, AI alphabetization is no longer “nice” for marketers. It is expected that content marketers are AI-Forward and integrate AI to strengthen their marketing efforts.
However, there is a real way to achieve this problem. I saw too many content marketers who deal with AI to scale. Then I spend hours repairing AI sucks or working on content that does not meet the brand.
My advice? Use AI input requests and tools to scale what is detected in your content -making process and do not replace what is broken. If you use AI in an already inefficient system, you will make the probability more difficult for yourself.
Make your strategy correctly and use AI to perform the everyday aspects of the content.
Note from the publisher: This post was originally published in May 2023 and updated for completeness.