The era of AI video generation on YouTube is dawning, and it seems creators are embracing it. Despite a wave of criticism related to the use of large language models (LLMs) for content scraping and flooding the platform with “junk,” a recent YouTube study reveals an unexpected turn. The platform is actively implementing Google Gemini products and other AI tools, opening new horizons for creators, and it turns out many of them are already actively experimenting with these technologies.
YouTube Creators: Is AI a Tool, Not a Threat?
The YouTube Culture and Trends team, in collaboration with NRG, surveyed American creators. The sample included 694 individuals who had uploaded videos in the past 12 months.
The results were surprising: 72% of respondents stated they already use AI for video and image work. Moreover, 61% expressed interest in using AI to integrate their digital twins into content.
How Creators Use Generative AI
Digital Avatars and Simulations: Creating “younger versions of themselves” for interactive scenarios, such as “hugging your younger self.” This opens up possibilities for animated AI characters and AI avatars with subtitles.
Emotion Visualization: Using AI to transform complex feelings into visually understandable and empathetic images.
Mass Video Generation: Although not emphasized in the report, creators’ interest in AI hints at the potential for mass video generation by neural networks and the creation of AI advertising videos. Imagine neuro-production by subscription, allowing hundreds of videos to be generated per day.
“For some experimenters, AI is a way to play with different aspects of their self-identity and imagine alternative versions of themselves. By using it to visualize their complex emotions, people transform confusing feelings into cathartic images that others can empathize with,” the YouTube report states.
Why Is YouTube So Actively Promoting AI?
It’s clear that YouTube has its own goals in actively promoting generative AI. The Culture and Trends team will naturally support the products the platform implements.
However, even with this in mind, the positive survey results show that not all creators are skeptical. Many see AI not as a threat, but as a powerful tool for creativity and scaling.
The Potential of AI for Content Creators
This research confirms that the future of content lies with AI. The opportunities opened up by neural networks are enormous: from creating AI advertising videos to neural networks for UGC advertising.
Now one can imagine an AI conveyor producing 500 videos per day for e-commerce or even AI UGC for a crypto project. The effectiveness of AI versus real UGC becomes a key indicator.
Frequently Asked Questions
How much does one AI creative cost?
The cost of 1 minute of AI video varies significantly depending on the platform and generation complexity, but in general, it is orders of magnitude lower than traditional production. Services like Synthesia offer various pricing plans.
What is AI content production?
This is the process of creating videos, images, texts, and other content using artificial intelligence. It includes generating video from text, AI voiceovers, creating AI clips with face swapping, and even automatic scriptwriting and editing.
YouTube’s research confirms that AI is not just “going to be a lot,” it is already actively used and positively perceived by a significant part of the creative community. This opens the door for incredible innovations in mass video generation by neural networks and the creation of personalized content.
If you are not yet using AI in your content production, now is the time to start experimenting. The possibilities of neuro-production by subscription and mass generation API can radically change your approach to video creation. Be at the forefront while competitors catch up!
Google is opening new horizons in the world of personalized content by hiring engineers to develop and implement artificial intelligence into its Discover service. This strategic decision aims to create a dynamic, ever-changing stream of information that will meet users’ deepest interests. If you’ve ever wondered how to make 100 unique pieces from one source, Google seems to have found the answer in AI.
According to job postings, the Discover Feed Recommendation team will “recommend AI-generated content (AIGC) to meet user interests.” This is not just a recommendation, but an entire system capable of circumventing traditional algorithms and offering something completely new, unique to each user.
How Google Plans to Transform Discover with AI
Job postings reveal Google’s ambitious plans to transform Discover into a “proactive, hyper-personalized concierge service.” This means that the platform will not just show you content, but also anticipate your needs, offering information that will help you achieve your goals.
Roles and Responsibilities of New Specialists
Staff ML Engineer: This role involves quality control, topic discovery, and content understanding for the Discover team’s AI-generated content. Tasks include building agent flows that generate content for “proactive surfaces” like Discover and Notifications. Special attention is paid to fact-checking, relevance, coherence, and tone, as well as feedback mechanisms for finding and delivering engaging stories worldwide.
Senior Staff ML Software Engineer: Similar work, but at a higher level, with an emphasis on the quality of AI-generated content used across all major Google platforms.
Principal UX (Director+): This leadership design position aims to transform Discover into a “concierge experience” that helps users progress towards their goals. The salary for this position ranges from $275,000 to $382,000 USD plus bonuses and stock. The specialist will work with YouTube, Shopping, Chrome, and Android teams, scaling AI formats in the feed while keeping the human voice and sources at the forefront.
“Our goal is to help people dive deeper into their interests and move from inspiration to action,” one job posting states.
This is not just content repurposing; it’s its complete repackaging and adaptation to individual needs, almost like creating “video DNA” for each user.
Google is already actively integrating AI into Discover. In October 2023 (presumed typo correction in the original), AI previews for trending topics were launched in the US, South Korea, and India, each linking to content on the internet. This is an excellent example of how video uniqueness and articles can help bypass anti-plagiarism and attract new audiences.
Features already available or being tested:
Discover Customization: Since August, users can customize their feed, indicating what they want to see more or less of.
“Dive Deeper” Button: In September, Robbie Stein, VP of Product at Google Search, announced testing a button that opens a brief overview of a topic with links to related stories, starting with videos. This is a kind of “video matryoshka,” where many small pieces of content, adapted for TikTok, Shorts, and Reels, can be obtained from one large piece of content.
The Discover Experience team, responsible for the user-facing part of the feed, including AI integration, serves over 500 million active users daily, making Discover one of the largest products in the world.
Search Console Report and Control over AI Content
Search Console already provides reports on when links to your site appear in Discover’s generative AI features. This allows webmasters to track the effectiveness of their pages in Google’s new recommendation “matrix.”
The report shows impressions of links to your site in Discover’s generative AI features, grouped by page, country, and date.
The “Pages” view lists the canonical URLs that provided the information shown in these features.
It’s important to note that the inclusion of your site in Discover’s generative AI features is regulated through Search generative AI control, which also covers AI Overviews and AI Mode. Excluding a site from these features prevents its links and content from appearing in generative AI Search.
Frequently Asked Questions
What is content repurposing in simple terms?
Content repurposing is the process of transforming existing content into new formats or for new audiences. For example, turning a webinar into 50 short clips for social media or adapting an article into an infographic. This allows you to scale content and get more return on invested resources.
Should I order uniqueness or create new content?
It depends on your goals and budget. Video uniqueization and other content can be significantly cheaper and faster than creating new content from scratch, especially if you already have high-quality source material. For bypassing ad bans or for generating variations for A/B tests, uniqueization is a powerful tool.
How does AI help in bypassing anti-plagiarism?
AI can analyze text or video, identify key elements, and rephrase them, change the structure, background, voice timbre, creating new, unique versions. This allows you to get a uniqueization package that passes originality checks while maintaining the main meaning and message.
Conclusion
Google is actively investing in the development of AI-generated content for Discover, striving to create the most personalized and proactive user experience. This opens up new opportunities for content creators in the field of repurposing and uniqueization. Monitor Search Console reports and experiment with adapting your content to make the most of these innovations. Start adapting your content for different social networks today to be at the forefront of this digital transformation!
Generative AI promises a revolution, but the real cost of content production often remains hidden. We calculated how much it costs to create a 25-second commercial using neural networks, including script, images, video, voiceover, and music. Spoiler: the 25-second video cost 2,126 ₽, or 85 ₽ per second. The lion’s share of the budget, almost 90%, was “eaten up” by video generation.
How much does AI advertising cost: a 25-second video for 2,126 ₽
In a world where technology is developing at an incredible pace, artificial intelligence is becoming an integral part of many industries, including content creation. But what is the real price of this innovation? We conducted an experiment to find out how much it costs to create a 25-second commercial entirely with neural networks. The results may surprise you, because the cost of unique content for one video and profitable CPM for advertising materials are becoming key factors.
The experiment was conducted through BotHub using the following models:
We advertised a herbarium, without commercial implications. Important: only the marginal cost was taken into account — the cost of successful generations included in the final video. Actual costs may vary depending on prompting skills and perfectionism level, increasing the number of regenerations and, accordingly, the budget.
Methodology for calculating the cost of AI production
For an objective assessment, it is important to distinguish between two types of costs:
Cost of result generation: direct computational costs for content creation.
Cost of infrastructure access: costs for subscriptions or minimum credit packages for using services.
In the case of a single video, the second amount can significantly exceed the first. Of course, open-source models can be deployed locally, but this requires a powerful PC, which is not always available.
«Don’t replace professionals with browser tabs. AI content has nuances: rights, licenses, character stability, result control, and brand requirements. AI slop is easy to get, and you’ll get flamed for it».
We started by creating a concept. GPT-6 Astra acted as a creative producer and scriptwriter. The prompt was formulated so that the model immediately took into account the limitations of AI generation and formed prompts for each element.
Prompt to GPT-6 Astra:
«Role: You are an experienced creative producer and scriptwriter specializing in creating advertisements using neural networks. Task: Develop a detailed script for a 25-second commercial for a Herbarium (an album with a collection of dried plants/herbs). Important condition: All content (video, photo, audio) will be AI-generated. Therefore, your task is not just to provide a script with a description of the picture, but a script supplemented with prompts for each element. Atmosphere: warm, autumn, cozy».
The script development and adjustments took ₽102.09.
Step 2: Generating images for the ad
Nano Banana 2 was used to create eight base images that set the composition, atmosphere, and style. The total cost of this stage was ₽128.29, which is an average of ₽16 per image.
The images served as an intermediate state: they fixed the spatial structure of the frame, which simplifies the task for the video model. This allows for consistency between scenes, which is critical for a commercial.
Image-to-video: precise control over the result
Unlike text-to-video, where the model simultaneously interprets the description, chooses the composition, and adds movement, image-to-video fixes most variables. This gives greater control over the result and ensures stylistic unity across all frames, which reduces the cost of uniqueizing one video and provides a favorable CPM for advertising materials.
Step 3: Video generation: the most expensive part of AI advertising
Converting static images into video scenes is the most resource-intensive stage. Seven video scenes were generated using Kling v3 Video, preserving the original composition and adding natural dynamics.
The cost of one video scene was about ₽268, and the total cost of video generation was ₽1,878.17. This is 88% of the total budget. The high cost is due to the need to ensure temporal consistency: objects, camera, lighting, and scene geometry must be stable throughout the video.
Step 4: Ad voiceover with ElevenLabs: cheap and tasteful
ElevenLabs Flash v3 was used for the voiceover. This stage turned out to be one of the cheapest — only 6.04 ₽. TTS technologies significantly simplify the process compared to traditional voice actor recording, providing fast generation and low costs. This is an excellent option for cheap hypothesis testing and prototypes.
Step 5: Music for advertising in Suno: budget and limitations
The musical accompaniment was created using Suno v5.5. The model allows describing the mood and genre, rather than specific notes, which is convenient for advertising tasks. The cost of music generation was 11.82 ₽.
Although AI music saves budget, full control over the result is not guaranteed. However, for small projects, it is an effective alternative to stock tracks or ordering original music.
Total cost and comparison with direct subscriptions
The total cost of a 25-second advertising video created with AI was 2,126.41 ₽.
Tool
Cost
Script and prompts (GPT-6 Astra)
102.09 ₽
Base images (Nano Banana 2)
128.29 ₽
Video generation (Kling v3 Video)
1,878.17 ₽
Voiceover (ElevenLabs Flash v3)
6.04 ₽
Music (Suno v5.5)
11.82 ₽
TOTAL
2,126.41 ₽
If access to each service were paid for separately, minimum monthly subscriptions would be around 3,591 ₽ (at an exchange rate of $1 = 86.4 ₽):
ChatGPT (Plus): $20 (~1,729 ₽)
Nano Banana 2: ~$0.54 (~47 ₽)
Kling v3 Video: $6.99 (~604 ₽)
ElevenLabs Flash: $6 (~519 ₽)
Suno v5.5: $8 (~692 ₽)
These 3,591 ₽ are more of a starting capital than the cost of a single video, as tariffs usually include many more credits than required for one project. This highlights the benefit of using aggregators like BotHub for one-off tasks or cheap hypothesis testing.
Conclusions and prospects for AI production
AI production is not yet a seamless process. Each model has its own features and data formats. Cohesion between stages is ensured by an external workflow: prompts, references, manual editing. This distinguishes the demonstration of individual model capabilities from a full-fledged production system, where all elements must work in unison. The price per finished clip with AI can be significantly lower than traditional production, but requires competent pipeline management.
Overall, AI tools significantly lower the barrier to entry for video content creation, offering a budget-friendly alternative to seeding and traditional production studios. However, obtaining a high-quality result requires skills and an understanding of each model’s limitations. This makes CPM profitable for testing various advertising creatives.
Frequently asked questions
What CPM should be considered profitable for AI advertising?
A profitable CPM depends on the niche and campaign goals. If the cost of producing a video is low, as in our case, then even with an average CPM, the overall return on investment (ROI) can be high. The main advantage is the ability to quickly and cheaply test hypotheses.
What is cheaper: a banner, a blogger, or an AI video?
A direct comparison is incorrect, as these are different formats with different goals. However, AI video offers cheap hypothesis testing and can be significantly cheaper than producing a video with a blogger or even some types of banners, especially if complex animations are required. The cost of creating one AI video at 2,126 ₽ makes it competitive for mass content production.
Is it worth investing in AI for content production?
Yes, it is. AI significantly reduces the time and cost of production, allowing for quick creation and testing of advertising materials. This is especially relevant for small and medium-sized businesses, as well as for arbitragers who value the cash and unit economics of each creative. However, it is necessary to consider that the price vs. result strongly depends on the skills of working with prompts and post-processing.
How much does it cost to cut 1 hour of stream using AI?
The cost of cutting an hour of stream using AI will depend on the services used and their rates for video processing. If it’s about creating short clips, it can be significantly cheaper than manual work and comparable to the price of generating one video, as the main costs will be for transcription and content analysis, not for generating video from scratch.
What is the price per minute of AI video with an avatar?
The price per minute of AI video with an avatar varies depending on the platform and the complexity of the avatar (2D, 3D, customization). In our experiment, 25 seconds of video cost 1,878 ₽, which is equivalent to approximately 4,500 ₽ per minute if only the video generation cost is extrapolated. However, avatar platforms have their own rates, which can be both higher and lower, depending on the features and quality provided.
AI advertising opens up new horizons for content creation, making it more accessible and faster. If you want to delve deeper into the world of AI and learn how it can transform your business, visit our blog. Discover new opportunities and start creating unique content today!
This week, the SEO world is buzzing with activity: a judge questions Google’s monopoly on AI content, a spam update pulls the rug out from under automated publications, and the old debate about geotargeting flares up again. Let’s break down what this means for your cache, especially in the context of Google AI.
Legal Battles: Google AI and “Unfair” Content Usage
A federal judge questioned Google’s practice of using web content for its AI overviews, calling it “grossly unfair.” This jeopardizes the current “traffic in exchange for content” model.
Details of Penske Media vs. Google Case
During the antitrust hearing for Penske Media, Judge Amit Mehta questioned whether Google’s AI overviews could be considered a “product improvement.”
Digital Content Next CEO Jason Kint quoted the judge, who called the situation “really unfair” and noted that the improvement is being developed “at the expense of publishers.”
Judge Mehta has not yet ruled on Google’s motion to dismiss the lawsuit.
“Publishers have no control over how Google uses their content,” Kint noted, emphasizing that opting out of Google indexing is not a realistic choice for publishers dependent on search traffic.
Google Spam Update: A Blow to AI Publications
Although Google has not officially stated that it is targeting AI-generated content in the August spam update, reports from website owners indicate problems for automated publications. Is cheap AI content worth such risks?
Initial Observations and Conclusions
Roger Montti collected examples where fully automated sites lost visibility, while resources using AI with human refinement suffered less.
These are currently anecdotal reports, not official confirmation of changes in Google’s algorithms.
Google released the S-CTS system to detect coordinated synthetic abuse on video platforms, but this is not related to Google Search.
The mere fact of AI authorship is not a reason for a drop in rankings. Google’s policy concerns large-scale content created to manipulate rankings, regardless of the author.
SEO consultant Takuma Oka warns that his sample is small and the conclusions are not definitive. What matters is not the AI itself, but the method and purpose of mass production.
SEO vs. GEO: What John Mueller Says
John Mueller from Google once again commented on the “SEO vs. GEO” discussion, clarifying that there are no special requirements for generative AI answers in search. That is, testing hypotheses cheaply does not mean that basic principles can be forgotten.
Nuances for AI Answers
Mueller stated that Google sees nothing special that needs to be done for generative AI answers in search.
This applies to Google Search, not to ChatGPT, Perplexity, or other AI systems.
If you are already optimizing your site for Google, Mueller does not offer a new technical checklist for AI overviews.
Dan Akedju summarized: “The fundamentals are the same. The extraction level is different.” This is a key point: favorable CPM only when the platform’s features are taken into account.
AI Recommendations: Brands are Recommended, but Others are Cited
New data shows that a brand recommendation in an AI answer does not guarantee a direct link to your site. This affects ROI and requires a review of metrics.
Shero Commerce Analysis
Shero Commerce analyzed 1,851 citations in Google AI Mode, ChatGPT, and Perplexity.
Brand-owned pages received only 2.8% of citations.
When a brand was recommended by name, its own page received a citation in only 31% of cases. Third-party resources were often cited.
Aleyda Solis emphasized: “Your brand may be recommended in the answer… while the citation (and click) goes to a magazine or marketplace.” This means that the cost of uniqueizing one video or the price of generating 100 AI videos should pay off not only with mentions but also with direct links.
ChatGPT and Reddit: Complex Citation Dynamics
Promptwatch data showed a sharp drop in Reddit’s citation share in ChatGPT in mid-August, but new tests show that Reddit still plays an important role in the information extraction process.
Variability of ChatGPT Behavior
In one query, ChatGPT purposefully searched for information on r/whatnotapp: out of 71 extracted pages, 48 were Reddit threads, and 6 out of 8 final citations went to the subreddit.
Four days earlier, Suganthan Mohanadasan found that ChatGPT extracted 84 Reddit threads for another query but did not cite any.
Mohanadasan summarized: “Reddit citations were not simply ‘turned off.’ They seem to be query-dependent.” This demonstrates that price comparison of various sources and their citability is a dynamic process and requires constant monitoring.
Conclusion: Visibility vs. Value – New Metrics
This week, it became clear that visibility and real value are beginning to diverge. Publishers share information, but don’t always get traffic. Brands receive recommendations, but links go to others. Reddit may be a data source for AI, but not appear in final citations. “AI visibility” is becoming too broad a concept, requiring more precise metrics to assess ROI.
It’s important not only to be indexed, but also to get a mention, a citation, a click, and ultimately, a conversion. How much money will each dollar spent bring – that’s the main question. Re-evaluate your strategies and metrics to avoid wasting your budget.
Frequently Asked Questions
What is “unfair” use of content by Google AI?
Judge Amit Mehta opined that Google, by using publishers’ content for its AI overviews without adequate compensation or control from publishers, creates an unfair advantage, as publishers cannot opt out of Google indexing without losing traffic.
Is Google’s spam update really targeting AI-generated content?
Google has not officially confirmed this. However, according to reports from website owners, resources that use fully automated content generation have lost visibility. At the same time, sites where AI content was refined by humans suffered less. The focus is on large-scale content created to manipulate rankings, regardless of the generation method.
What does John Mueller advise regarding SEO for AI answers?
Mueller states that there are no special requirements for generative AI answers in Google Search. If you are already optimizing your site for Google, no additional technical checklists are needed for AI overviews. However, it is important to remember that different AI systems extract and select sources differently.
Why might a brand be recommended by AI, but the link goes to another site?
Shero Commerce research showed that AI systems often recommend brands by name, but cite third-party resources (e.g., magazines or marketplaces) instead of the brand’s official pages. This means that brand visibility does not always convert into direct clicks and traffic to your resource.
How has ChatGPT’s behavior regarding Reddit citations changed?
Data shows that Reddit citations in ChatGPT have become more complex and depend on the specific query. In some cases, Reddit is actively used and cited, in others, a lot of data is extracted, but there are no citations. This indicates the dynamism of algorithms and the need for constant analysis of sources that AI systems prefer for specific topics.
In the field of full-cycle short video production and integrated promotion, artificial intelligence (AI) is becoming not just an assistant, but a key element capable of saving time and resources. However, to gain real benefits, it is important to choose the right tools. We will look at 11 proven solutions for creating texts, images, videos, and optimizing workflows, as well as their pricing policies.
AI-powered content creation tools use algorithms to generate text, visual, audio, or video content based on given prompts. This allows teams to create materials faster and in larger volumes. The generative AI market is growing rapidly, with its volume projected to reach $394.66 billion by 2026, and AI-driven content will become one of the defining trends in social media.
While AI primarily generated text in the past, by 2026, most tools have become multimodal and workflow-oriented. They can create drafts, develop designs, edit videos, and integrate into existing systems. These solutions can be divided into five categories:
Text writing and copywriting
Image generation
Video and audio
Presentations and design
Workflow management platforms
Notable examples include ChatGPT, Midjourney, Jasper, Canva, and Hootsuite’s AI tools, which are now part of Perch in Hootsuite Social OS.
Why does business need AI in content production?
AI tools help marketers create, optimize, and scale content with less effort. They are indispensable for brainstorming, drafting, and performing routine tasks. Let’s look at four key benefits that should be integrated into your workflow:
Time savings: from routine to strategy
The most obvious advantage is time savings. 51% of content specialists already use AI to speed up production. AI takes on small, routine tasks, allowing your team to focus on strategic goals. For example:
“I use AI to group tweets from my company’s blog articles,” shares Chelsea Hensley, Social Media Strategist at Visme. “For platforms like X/Twitter or Threads, this is extremely useful for repurposing already written (and approved by our team!) content into short tweets and threads.”
Formatting is another easy win. “I can input my existing content or ideas and ask AI to format it into a bulleted list or even a neat table, which would take hours to do myself,” Hensley says. “Formatting is a great way for an SMM specialist to use AI.”
Idea Generation: Breaking Through Creative Blocks
Even the best brainstormers sometimes hit a wall. AI can kickstart the process to keep your team from slowing down. You still bring the strategy and creativity, but AI provides a starting point by generating prompts, angles, or post ideas that you can refine. Sometimes, the first batch of suggestions is all it takes to spark an idea you wouldn’t have otherwise reached.
Content Scaling: More Reach with Less Effort
AI helps teams produce more content without significantly increasing the workload. Instead of starting from scratch every time, marketers can repurpose existing content into multiple formats. One blog post can quickly become an X thread or a video script for Snapchat.
For large companies, this opens up opportunities to enter new markets. AI tools can translate content in minutes, simplifying the adaptation of campaigns for different languages and regions without a separate production cycle for each. Small teams feel this no less.
When asked how AI helps her do more as a “one-person team,” Hensley replies: “THAT is the right question. Since many social media managers work alone, having AI to help with drafting and repurposing content is crucial… With AI, I can turn tedious, time-consuming tasks into quick solutions.”
Platform Optimization: Improving Visibility
Similar to Google and other search engines, social platforms have their own SEO rules. If you’re just learning to optimize content, AI tools can help. They suggest keywords, hashtags, and caption structures that improve the display of your content in feeds and search results. The result is posts that are easier for the right people to find.
AI Tools for Content Creation: A Detailed Overview
The best AI tools for content creation help social media specialists brainstorm, generate text, develop visuals, and edit videos in minutes. We’ve grouped them by category so you can jump to the one that matches your needs.
AI for Text Writing and Copywriting
These tools handle drafting, editing, repurposing, and maintaining brand tone. They are the foundation of most content creation workflows.
Hootsuite: AI Assistant for Social Media
Features: Hootsuite’s AI capabilities are now integrated into Perch – the content, planning, and publishing app within Hootsuite Social OS. You input a prompt, and it transforms it into social media captions, post ideas, and content variations that can be scheduled without leaving the platform. What sets it apart from regular chatbots is context: the AI is trained on Hootsuite’s social media methodology, combining a powerful language model with content formulas based on over a decade of social marketing experience.
Best for: Teams that need to replace an SMM team or outsource social media content, and connect AI content creation with planning, publishing, analytics, and approvals in a single window.
Limitations: Designed specifically for social content, so it’s not suitable for creating long blog articles or technical documentation.
Pricing: Standard – $99/user/month, Advanced – $249/user/month. Enterprise – custom pricing. A free trial is available.
ChatGPT: A Versatile Assistant
Features: Can create human-style content, including social media posts, blog articles, plans, and scripts. The latest models also generate images and support custom GPTs, allowing teams to create versions tailored to their brand’s context.
Best for: General drafting, brainstorming, and research support.
Limitations: Full drafts from scratch often sound generic, and factual or historical data always require verification against primary sources.
Pricing: There is a free tier. Plus – $20/month, Business – $20/user/month (when paid annually).
Claude: For Working with Large Documents
Features: Helps generate ideas and create content using conversational prompts. It operates on a Constitutional AI system, designed to provide safer and more reliable responses.
Best for: Working with long documents, synthesizing research, and technical content.
Limitations: Not designed for end-to-end content production, and summaries still need human review before publication.
Pricing: There is a free tier. Pro – $20/month, Team – $25/user/month (when paid annually).
Jasper: for a consistent brand tone
Features: Specializes in content for articles, social media, scripts, and more. Expanded to image generation. Stands out for its focus on tone: the platform can generate or rewrite content that matches your brand’s voice.
Best for: Marketing teams that need a consistent brand tone across a high volume of content.
Limitations: Important or foundational content is best entrusted to humans. For commercial materials, landing pages, or large campaigns, AI drafts are just a starting point.
Pricing: Creator from $39/month (with annual billing). Pro and Business tiers available, free trial offered.
Copy.ai: for sales and marketing
Features: Helps marketing and sales teams create content and move faster through the go-to-market workflow. Allows for account research, outreach message generation, and sales data analysis.
Best for: Teams linking content production to sales workflows.
Limitations: Focused on sales and GTM processes, not social media content, making it less suitable as a primary social media tool.
Pricing: Chat from $29/month ($24/month with annual billing). Growth, Expansion, Scale, and Enterprise tiers available.
AI for image generation
These tools work with visuals, from stylized concept art to ready-made templates.
Midjourney: for stylized visuals
Features: An AI-powered image generation application known for its unique visual style. Started as a Discord bot, now also works as a web application.
Best for: Stylized, artistically rendered visuals for social media and campaign concepts.
Limitations: Subscription only pays off with a constant demand for AI graphics, and photorealistic results still require significant prompt engineering.
Pricing: Paid subscription only (Basic, Standard, Pro, and Mega). Prices are not published on the main page, check the pricing page. No free plan.
Canva: for quick branded designs
Features: Graphic design platform with templates and AI tools. Convenient for creating social media content, as all materials are automatically formatted for the required platform and integrated with Hootsuite. AI features are under “Magic Design.”
Best for: Quick, branded visuals created by non-designers.
Limitations: Does not replace creating brand identity from scratch, which still requires the work of professional designers.
Pricing: A free plan is available. Canva Pro is a paid tier, above that are Teams and Enterprise. Prices depend on region and billing cycle.
AI for video and audio
Video remains the most resource-intensive format on social media. These two tools significantly reduce production time.
Descript: for editing long videos
Features: An AI-powered audio and video editing tool. The most useful feature is transcript-based editing. You edit the transcript, removing filler words, shortening sections, or cutting entire clips, and the video updates accordingly.
Best for: Turning long podcasts or video recordings into social media-ready clips.
Limitations: Edits existing footage. You still need to record something to start.
Pricing: A free plan is available. Hobbyist from $24/month ($16/month with annual billing). Above that are Creator and Business.
InVideo: for creating short videos from text
Features: An AI-powered tool for creating short videos from text prompts. Useful for small teams without the time or resources for full video production.
Best for: Quickly creating video content without filming or editing.
Limitations: Not suitable for long or very detailed informational videos, and generated videos usually require manual adjustments to match brand tone and messages.
Pricing: A free plan with watermarks is available. Paid plans exist (check with the provider for current rates and plan names).
AI for presentations and design
Compiling reports and presentations takes up a significant part of a marketer’s week. Beautiful.ai helps create polished slides quickly.
Beautiful.ai: for creating presentations
Features: An AI-powered presentation tool that helps create polished slides quickly. This covers a significant portion of a social media specialist’s tasks: compiling reports for stakeholders, presenting campaign ideas, or creating slides for an online strategy.
Best for: Marketing slideshows, social media reports, and quick presentations.
Limitations: Less suitable for in-depth, research-heavy presentations requiring custom layouts.
Pricing: Pro, Team, and Enterprise tiers are available, with a free trial.
Free AI tools for content from Hootsuite
Not every task justifies a subscription. Hootsuite offers free AI content creation tools that you can use right now, without signing up. Here are three of them worth bookmarking.
Caption Generator: Not as advanced as the tools in Perch, but unlike a general chatbot, it’s built specifically for social media. It creates captions tailored to your chosen platform and supports five languages.
Hashtag Generator: Like the caption generator, it tailors its suggestions to your chosen platform (Instagram, Facebook, TikTok, LinkedIn, Pinterest, and X).
YouTube Video Description Generator: Writes a fully optimized description, helping you reach your target audience with the right keywords and drive traffic through calls to action.
Hootsuite also offers a range of other free generators, each with its own free plan and no sign-up required: Instagram Post Idea Generator, TikTok Post Idea Generator, Facebook Post Idea Generator, LinkedIn Post Idea Generator.
Limitations of AI in Content Creation: What You Need to Know
The main limitation of AI in content creation is that these tools work with existing information. This means they cannot reliably produce up-to-date research, original ideas, or genuine creative judgment. Knowing the boundaries of AI makes it useful, not risky. Here are five limitations to consider:
Lack of up-to-date research: AI cannot always provide the latest data.
Lack of expert opinions: AI is not an expert and cannot offer personal insights.
Limited understanding of current trends: AI may lag behind the freshest trends and demographics.
Lack of fresh case studies: AI is not always capable of providing current industry examples.
Lack of creative judgment: AI cannot offer genuine creative judgment.
The company ByteDance, which owns TikTok, has signed a memorandum of understanding with the Motion Picture Association (MPA). This agreement aims to protect the intellectual property of Hollywood stars and franchises from deepfakes that are massively appearing on the platform. In an era of rapid development of generative AI, the issue of copyright protection is becoming critically important for the entire entertainment industry.
What happened?
In February, the MPA, representing the largest Hollywood studios, sent TikTok a letter demanding that it stop using intellectual property to train AI models. The trigger was viral videos where deepfakes of Tom Cruise and Brad Pitt fought each other.
Now ByteDance has committed to implementing “robust protective mechanisms” to comply with copyright laws. This is an important step that demonstrates the platform’s readiness for dialogue with rights holders.
Details of the agreement
The memorandum is based on updates to the generative models Seedream 5.0 Pro and Seedance 2.5. ByteDance will collaborate with the MPA when integrating these models into TikTok, CapCut, and the joint venture TikTok USDS.
MPA CEO Charles Rivkin emphasized: “The agreement confirms that copyright is the cornerstone of the film industry and strengthens our commitment to protecting creative content.”
Despite the pressure, TikTok will continue to invest in generative AI. Seedance is already used for brands and even for film festivals. The agreement with the MPA only ensures that crossovers with popular characters will be created legally.
Recently, TikTok also struck a major deal with Disney, opening new opportunities for content integration. This confirms the platform’s strategic direction toward developing creative tools.
Frequently asked questions
Why did the MPA send a letter to TikTok?
Due to the widespread distribution of deepfakes featuring Hollywood actors and characters created using ByteDance’s AI models.
Which AI models are affected?
Seedance and Seedream are generative models by ByteDance used to create videos and images.
Will AI content disappear from TikTok?
No, TikTok will continue to develop generative AI for brands and creative projects, but with respect for copyright.
What does this mean for users?
Users will see fewer deepfakes with famous characters, but will get more legal AI content from brands and studios.
Stay tuned for updates to learn how TikTok’s AI policy will change. Subscribe to our news to not miss important events!
Snapchat bans fully AI-generated videos in Spotlight but promotes its own AI tools
Every major social network is run by a tech giant, and in the era of AI content, this has become especially noticeable. Snapchat is the latest platform trying to balance monetizing generative AI with preserving “authenticity”. New Spotlight rules introduce a complete ban on fully AI-generated videos, but the company is actively promoting its own AI tools.
New Spotlight rules: complete ban on AI videos
Snapchat has announced that fully AI-generated videos will no longer appear in Spotlight recommendations. This means creators of such clips will not be able to submit them or receive payments through the monetization program. The key word here is “fully”: videos partially created with AI are still allowed.
“As low-quality, repetitive AI content becomes increasingly common online, we want Spotlight to remain a place where people can discover authentic creativity from real people,” the company said in its official blog.
Why Snapchat isn’t abandoning AI entirely
Despite the ban, Snapchat is actively promoting its own generative features: AI Lenses, My AI, AI Snaps, song generation from chats. The statement emphasizes: “We are not rejecting AI.” Content enhanced with built-in tools will remain in recommendations, but with transparency labels.
“We know that for some, AI is an important part of the creative process, and we believe it can unlock new forms of self-expression,” — Snapchat.
Context: what other platforms are doing
Snapchat is not the first platform to tighten rules on AI content. YouTube has been fighting “slop” for several months and last month banned videos with AI “experts” in medicine and finance. LinkedIn added a button to report AI content, and Pangram data shows that up to 41% of LinkedIn content is LLM extrusion.
Snapchat’s strategy: “video DNA” and bypassing bans
For marketers and content creators, this is a signal: platforms are learning to distinguish “clones” from “originals.” Content repurposing is not just re-uploading, but deep reworking: changing the background, tone, structure. With AI tools, you can create dozens of variations of one creative, adapting them for TikTok, Shorts, and Reels without breaking the rules.
Frequently asked questions
Can I use AI to create videos on Snapchat?
Yes, but only as a supporting tool. Fully generated clips will not pass Spotlight moderation and will not receive payments.
How to bypass the ban in advertising using repurposing?
Create creative variations: change the background, voice tone, subtitles, angles. This reduces the risk of a ban and increases the effectiveness of A/B tests.
Should I order a new video or repackage an old one?
If the budget is limited, repurposing is more profitable: one webinar can be turned into 50 clips for different social networks. It’s cheaper than shooting from scratch and faster.
Conclusion
Snapchat is balancing between “authenticity” and its own AI tools. For creators, this is an opportunity: use AI to speed up work, but add a “human” layer. Adapt content to each platform, test different variations, and remember: algorithms love uniqueness.
Ready to repackage your videos? Start small: change the background, add subtitles, re-voice. And you’ll see your reach grow.
The organizers of MIPCOM Cannes have announced that in 2025, micro-series and vertical content will receive the status of one of the key directions of the business program. The decision was made against the backdrop of the rapid growth of this segment: according to MIPCOM, vertical storytelling has transformed from an experimental format into one of the fastest-growing sectors of the entertainment industry.
Why Micro-Series Have Become a Priority for MIPCOM
According to MIPCOM Director Lucy Smith, the vertical content market is attracting more and more investment, and platforms, producers, and technology companies are moving from experiments to scalable business models. “The focus is shifting to repeatable formats, international licensing, and new revenue sources,” the organizers’ statement notes.
Key Speakers and Participants
At MIPCOM Cannes, which will take place from October 12 to 15, 2025, two headliners specializing in vertical storytelling will speak:
Anthony Zuiker — creator of the CSI: Crime Scene Investigation franchise, recently appointed “Chief Crime Officer” of the Cinemalistics platform, which produces vertical true-crime content using generative AI. Zuiker is also writing a micro-series for GammaTime — a vertical platform founded in 2025 by former Miramax CEO Bill Block, ex-Google Gaming head Slava Mudrykh, and Quibi veteran Alex Montalvo.
Anatolii Kasianov — co-founder and co-CEO of the Ukrainian company Holywater, which owns the vertical app My Drama. In October 2024, Holywater received investment from Fox Entertainment with a commitment to release over 200 new micro-series, including 40 shows from moral content creator Dhar Mann.
The organizers promise to announce additional speakers later.
New Formats and Platforms for Micro-Series
MIPCOM is introducing several innovations focused on vertical content:
Special social spaces for participants interested in micro-series.
An updated networking platform with a separate “vertical content” category — it will operate in parallel with existing speed matchmaking sessions for scripted and unscripted content.
An invitation-only Global Microdrama & Vertical Leaders’ Summit (details to be announced later).
Additionally, MIPCOM is partnering with the podcast The Media Odyssey for a special recording dedicated to the era of premium vertical television. The episode will be hosted by Evan Shapiro and Marion Ranchet, with guests including RoseBerry Media co-founders Guy Hamieri and Lior Friedman.
Organizers’ Opinion
“What was just emerging trends a year ago — vertical storytelling, the creator business, AI production — today attracts investment, forms scalable models, and becomes an important part of the global content economy. MIPCOM Cannes is designed precisely to bring together established media companies, creators, technology businesses, and investors for new partnerships and commercial opportunities,” said Lucy Smith.
MIPCOM Cannes 2025 promises to be a key platform for discussing the future of micro-series and vertical content. Participants will not only be able to listen to industry leaders but also establish business contacts in specialized zones. Stay tuned for announcements — the program will be expanded.
Ready to dive into the world of vertical storytelling? Mark the dates on your calendar and follow updates on the official MIPCOM website — exclusive sessions, networking with market leaders, and inspiring case studies await you. Don’t miss the main event of the year for content creators!
Christopher Nolan Calls AI a ‘Trojan Horse’ with Transparent Walls
Director of ‘The Odyssey’ Christopher Nolan, in an interview with YouTube blogger HugoDécrypte, compared artificial intelligence to a Trojan horse. According to him, everyone knows that ‘the Greeks are inside,’ but the technology is so transparent that its suspiciousness is obvious. Nolan noted that he has never seen a technology develop so quickly while being so widely rejected by the public, especially young people. Young people immediately call AI videos ‘AI slop’ and send them to the ‘black box.’
Nolan considers such skepticism ‘very healthy’: technologies always offer great gifts, but they need to be viewed critically. ‘The motives of those who give them to us should also be evaluated skeptically. Only then will we get the best from new technology, not blind faith that everything will be wonderful,’ the director stated.
AI in Hollywood: Threat and Protection
Although Nolan did not specify the threats from AI, the technology remains a concern in Hollywood. It became one of the main topics of the 2023 writers’ and actors’ strikes. The Directors Guild of America, which Nolan leads, included protection against generative AI in the latest contract.
The director himself is known for techno-skepticism: he does not use smartphones, and ‘The Odyssey’ was the first film shot entirely on IMAX film. ‘I consider myself a techno-skeptic,’ Nolan told The New York Times. ‘Film represents the world better than any digital system. I constantly adopt new technologies, but they are often sold at the expense of old, still viable systems. In my industry, we almost threw the baby out with the bathwater—we nearly lost film!’
Frequently Asked Questions
Why does Nolan call AI a ‘Trojan horse’?
The director uses the metaphor to emphasize that AI, like the Trojan horse, may carry a hidden threat. However, he adds that it is a ‘transparent horse’—everyone sees the danger, especially the younger generation, which immediately rejects AI content.
How does Nolan feel about technology in cinema?
Nolan calls himself a techno-skeptic. He prefers film to digital, does not use smartphones, and believes that new technologies often displace old ones, even though the latter can be equally effective. At the same time, he admits that he constantly adopts innovations, but with caution.
Conclusion
Christopher Nolan has once again confirmed his status as Hollywood’s leading techno-skeptic. His metaphor of the ‘transparent Trojan horse’ accurately describes society’s attitude toward AI: we see the threat but cannot always resist it. Have you already seen ‘The Odyssey’? Share your opinion in the comments!
AI UGC advertising is short advertising in a user-generated format: talking head, simple frame, conversational tone, everyday presentation, but created using generative AI rather than a real author. This format is cheaper and faster than real author video at scale, requires disclosure in some cases, and is better suited for apps, online stores, and quick tests.
AI UGC is a convenient term for searching, but in Russian it’s better to say: AI advertising in a user format. This is not a real customer review or a real author’s video. It is synthetic advertising material that uses the familiar style of user-generated videos.
It is important not to deceive the audience. If the material looks like a real person, real review, or real author, the brand must understand the requirements for disclosure, rights to image and voice, as well as ethical risks.
How AI UGC is Created
The process usually consists of five parts.
Stage
What Happens
Script
A short conversational text is written
Character
A synthetic face is created or selected
Voice
Voiceover is generated or a licensed voice is used
You cannot use a real person’s face or voice without consent. You cannot pass off a synthetic review as a real customer review.
What VibeVO Can Do in AI UGC Format
VibeVO can produce AI advertising in a user format at scale: talking heads, short explanations, product demonstrations, videos with synthetic characters, overlays, voiceovers, and versions in different languages.
Important: such material should not be passed off as a real review from an actual customer. The correct logic is to use the user style as a convenient advertising format, but not to deceive the viewer. If the video contains a synthetic person, voice, or image, it must be determined in advance whether disclosure is required and how it will be shown.
This format is especially useful when you need to quickly get many variations, rather than spending a long time coordinating each real author.
AI UGC vs Real User Video
Criteria
AI UGC
Real Author
Cost of options
Lower at scale
Higher with each new author
Speed
Faster
Depends on the author
Trust
Lower if artificiality is visible
Higher with a real author
Text control
High
Limited by author’s style
Localization
Fast
Requires authors or voiceover
Legal risks
Disclosure, likeness, voice
Author rights, contract, revocation
Best scenario
Quick tests
Trust and social proof
AI UGC should not replace real people where trust is the main asset. But it works well when speed, volume, and testing different messages are more important.
When VibeVO is better vs a real author
Task
Better with VibeVO
Better with real author
50 options in a short time
Yes
Difficult
Localization into multiple languages
Yes
More expensive
Trustworthy testimonial
No
Yes
Mascot or synthetic host
Yes
Not necessary
Personal customer experience
No
Yes
Quick ad test
Yes
Sometimes
High trust in personality
No
Yes
If a brand needs a real social signal, it’s better to use a real author. If speed, volume, localization, and testing different messages are needed, VibeVO is more suitable.
Disclosure Requirements
In the EU, the AI Act transparency rules require that generative AI content be identifiable, and some types of AI content, including deepfakes, must be clearly labeled. These rules come into effect in August 2026.
For AI UGC, this means: if a video contains a synthetic person, synthetic voice, or imitates a real user format, it is necessary to decide in advance how the artificial nature of the material will be disclosed.
In the US, the rules are fragmented. New York has passed a law on the disclosure of synthetic performers in advertising, which is set to take effect on June 9, 2026. The Tennessee ELVIS Act protects against AI deepfakes and voice cloning. California’s AB 2655 concerns deepfakes in electoral contexts and the obligations of large platforms, not regular commercial advertising.
When AI UGC Works
App Install Campaigns
For apps, speed of testing is important. AI UGC allows quickly creating options for:
“how it works”;
“why I switched”;
“what changed in a minute”;
“before / after”;
“three reasons to try it”.
Online Stores
For products, you can quickly create:
videos by category;
short explanations;
demonstrations;
variants with different benefits;
seasonal versions.
Quick Tests
AI UGC works well when you need to understand which idea resonates: price, convenience, speed, emotion, social proof, or a problem.
Localization
A synthetic video can be adapted to different languages faster, but the translation should be checked by a human.
When AI UGC Doesn’t Work
Situation
Why It’s Bad
Medical testimonial
High credibility required
Financial guarantee
Legal risk
“Real customer” testimonial
Cannot pass off synthetic as real
Luxury brand
Artificiality can reduce value
Complex emotion
AI often loses to a real person
Well-known expert
Need a real expert and consent
Political content
High risk of manipulation and disclosure rules
Common AI UGC Mistakes
Strange facial expressions. Lips don’t match the voice, eyes look empty, face is too smooth.
Too promotional text. The material is supposedly user-generated but sounds like a corporate slogan.
No disclosure. The user thinks they are seeing a real person, but it’s AI.
Resemblance to a real face. The synthetic character accidentally resembles a known person or employee without consent.
Fake experience. The phrase “I used this for a month” is unacceptable if it’s not a real person with real experience.
Incorrect voice. A synthetic voice may violate rights if it imitates a real performer.
Ethical Distinction: AI UGC vs. Deepfake
AI UGC can be ethical if:
it is clear that this is a synthetic advertising format;
there is no imitation of a specific person without consent;
there is no fake personal experience;
AI is not hidden where disclosure is required;
other people’s voices and faces are not used.
Deepfake in a bad sense is when AI content creates the impression that a real person said or did something they did not. That is why for synthetic people, voices, and user-generated formats, it is important to plan disclosure, rights, and verification in advance.
FAQ
Will viewers understand that AI UGC is “not real”? Sometimes yes. If facial expressions, voice, or text are unnatural, the audience quickly notices. But the main question is not “will they notice,” but whether the brand honestly discloses the synthetic nature of the material where required, and does not pass off AI as a real customer.
Do you need to disclose AI UGC? In the EU — often yes, if it involves a synthetic person, synthetic video, voice, or deepfake-like material. In the US, the rules depend on the state, platform, type of advertising, and use of a person’s likeness. For international campaigns, it is better to plan disclosure in advance.
Can you use the face or voice of a real person? Only with permission. You cannot use a person’s likeness, voice, facial expressions, or recognizable resemblance without consent. In the US, rights to image and voice are especially important, including laws like the Tennessee ELVIS Act.
Conclusion
AI UGC advertising is a powerful tool for quick tests, localization, and scaling advertising campaigns. However, its effectiveness directly depends on honesty with the audience and compliance with legal norms. Use this format consciously, without replacing real reviews where trust is critical.
Ready to test AI UGC for your brand? Start small: create several video variations for one product and compare the results. Transparency and speed are your main allies.
