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  AI Voice: How to Create the Perfect Text-to-Speech in 2026

  In 2026, speech synthesis technologies reached an incredible level, transforming the complex process of audio content creation into a matter of minutes. Now, it’s enough to insert text, choose a model and voice, and your file is ready. However, practice shows that the first result is often far from ideal. The problem is not in the quality of the neural network, but in the nuances of text preparation that most users ignore. Let’s figure out how to avoid mistakes, choose the right model, and scale AI production to create the perfect text voiceover.

  Text Preparation: The Secret to a Perfect AI Voice

  A neural network reads symbols, not meanings that a human constructs from context. To avoid errors, the text must be adapted.

  Dealing with Homographs and Stresses

  The Russian language is rich in words that are spelled the same but have different meanings depending on the stress (e.g., “за́мок” (castle) and “замо́к” (lock)). The model chooses a variant based on statistics, which often leads to errors. There are two solutions:

  • Rephrasing: Change the sentence to eliminate ambiguity. For example, “Замок заело” (The lock got stuck) can be rephrased as “Дверной замок заело” (The door lock got stuck).
  • Placing stresses: Use special characters. In Yandex, this is a “+” before the stressed vowel (зам+ок), in most other services – Unicode U+0301 immediately after the stressed vowel (замо́к). This method is more reliable but makes the text less readable.

  Numbers, Abbreviations, and Latin Script

  • Numbers: For correct pronunciation of numbers, especially with cases and units of measurement, it is better to write them out in words. For example, “к 15 марта” (by March 15) will become “к пятнадцатому марта” (by the fifteenth of March), and “1 250 000 ₽” will become “один миллион двести пятьдесят тысяч рублей” (one million two hundred fifty thousand rubles).
  • Abbreviations: Models handle abbreviations read letter by letter (НДС, МФЦ) or as words (ГОСТ, вуз) well. However, mixed constructions, like “ГОСТ Р 34.10-2012”, are often pronounced character by character. In such cases, it is better to write them out in words or move them off-screen.
  • Latin script: English words and abbreviations (API, OK) within Russian text may be read incorrectly. The solution is transliteration: “эй-пи-ай вернул двести о-кей” (API returned two hundred OK).
  • Letter “ё”: The absence of “ё” can change the meaning of a word (“все” (all) and “всё” (everything)). In literary texts and proper names, place “ё” manually.

  Choosing a Neural Network for Voiceover: The Effectiveness of AI vs. Real UGC

  The choice of model depends on the task. Modern neural networks offer a wide range of functionalities, from basic narrator voice to emotional rendering.

  OpenAI TTS: A Reliable Workhorse

  The tts-1 and tts-1-hd models offer a smooth, narrator-like reading. They are ideal for educational videos, audio versions of articles, and interface prompts. The request limit is 4,096 characters. These models are available in BotHub: 1,767.86 ₽ and 4,278.21 ₽ per million tokens, respectively.

  ElevenLabs: Leader in Expressiveness

  ElevenLabs v3 offers maximum expressiveness in Russian, with support for audio tags, pauses, and tempo changes. Multilingual v2 is more predictable for long texts. Flash v2.5 and Turbo v2.5 are fast, inexpensive, and process up to 40,000 characters at a time. However, the more expressive the model, the smaller the context (v3 has only 5,000 characters), which requires dividing the text into smaller fragments. All these models are also available in BotHub.

  Google Text-to-Speech: For Large-Scale Projects

  Google offers classic voices (Standard, WaveNet, Neural2, Chirp 3 HD) with per-character billing and Gemini TTS with per-token billing and a “Style instructions” feature for delivery control. Over 380 voices in 75+ languages are available. This service is suitable for those who already have projects in Google Cloud and need a large volume. The entry barrier is high: an account and a foreign card are required.

  Yandex SpeechKit: For the Russian Market

  Integrated into Yandex AI Studio since 2026. The cost starts from 1,342 ₽ per million characters. All calculations are made in rubles and include VAT, which is convenient for Russian legal entities. Ideal for voice robots, answering machines, and IVR in the Russian-speaking segment. The Brand Voice service is available for creating a unique company voice.

  Local Solutions: Confidentiality and Scalability

  For projects with high confidentiality requirements or a zero budget for volume, synthesis can be run locally. Examples include Kokoro 82M (without Russian language) and Fish Audio S2 Pro (80 languages, commercial use is paid). This approach is suitable for closed circuits, working with personal data, and large volumes if you are willing to manage the infrastructure.

  Testing and Optimization: Deepfake-Ethical and Efficient

  Voice selection is not just about timbre. Run your own paragraph through several voices to understand how they handle your content.

  
  

  Voice Cloning: Ethical Aspects

  The Voice Clone feature in ElevenLabs allows you to create a copy of a voice from a short recording. Technically, it’s simple, but legally complex: cloning someone else’s voice without written consent is prohibited. It is important to adhere to deepfake ethics.

  Iteration Process: From First Pass to Final Render

  1. First Pass: Record a short text fragment (paragraph). Listen carefully to how numbers, names, abbreviations, and sentence boundaries are pronounced. Correct errors in the text, not in the settings.
  2. Second Pass: Record the full text. Evaluate the transitions between fragments and the overall pace. Models with a larger context reduce the number of transitions but may be less expressive.
  3. Final Render: Choose the desired format. WAV or FLAC for further editing without loss of quality, MP3 or AAC for podcasts.

  “Scaling was impossible — now it’s possible. Subscription-based neuro-production opens new horizons for content creators.”

  Comparative Analysis: Cost of 1 Minute of AI Video and Tariffication Nuances

  To evaluate the effectiveness of AI versus real UGC and understand how much one AI creative costs, it’s important to understand the tariffs.

  Test Run: 289 Characters

  Stress-test text: “On September 8, 2026, OOO “Yolochka” signed a contract for 1,250,000 ₽ with VAT. The lock in the warehouse jammed, and a 16th-century lock has nothing to do with it. Deadlines have already been missed, and this is an expensive lesson. According to GOST R 34.10-2012, the signature is correct, the API returned 200 OK, and the ElevenLabs v3 model read it without a hitch. Or not?”

  • OpenAI tts-1: 23 seconds of audio, 0.76851 ₽ charged (45,200 characters per hour, 120 ₽/hour).
  • OpenAI tts-1-hd: 23 seconds of audio, 1.85998 ₽ charged (45,200 characters per hour, 291 ₽/hour).
  • ElevenLabs v3: 34 seconds of audio, 7.68625 ₽ charged (30,600 characters per hour, 814 ₽/hour).

  Conclusions on Pricing

  • Duration: ElevenLabs v3 reads slower, which increases the audio duration and, consequently, the cost when billed by time.
  • Tokens vs. Characters: Token-based billing in Russian differs significantly from character-based billing. 289 characters can turn into 435 tokens, increasing the actual cost. Always check the actual charges in the interface.

  Frequently Asked Questions

  How to choose the best neural network for video generation?

  The choice depends on the specific task: for a narrator’s voice, OpenAI TTS is suitable; for emotional voiceovers, ElevenLabs; for large volumes within the Russian context, Yandex SpeechKit. Consider character limits, cost, and the ability to control intonations.

  Can AI voice be used in commercial projects?

  Yes, most services offer commercial licenses. However, when cloning a voice, always obtain written consent from the copyright holder to avoid legal issues.

  How much does mass video generation by a neural network cost?

  The cost depends on the chosen model, the volume of text, and the duration of the final audio. For example, for a 10-hour audiobook, the price can range from 1,200 ₽ (tts-1) to 8,100 ₽ (ElevenLabs v3). For AI UGC for a crypto project or an AI video factory for e-commerce, it is important to consider the scale and optimize the process.

  Where to order AI content production?

  Services like BotHub offer access to various speech synthesis models, including OpenAI and ElevenLabs, with payment in rubles and trial access. This is a convenient solution for getting started with AI avatars with subtitles, AI voiceovers, and AI clips with face swapping.

  Conclusion: The Future of AI Content is Here

  AI video generation and audio are not just a trend, but a new reality. With the development of technology, we gain access to tools that allow us to create mass video generation by neural networks and an AI conveyor of 500 videos per day. The key to success is understanding the nuances of text preparation and choosing the right tools. Start experimenting with BotHub today to evaluate the capabilities of neuro-production and scale your content!

  Prices as of September 8, 2026:

  Model or Service	Characters per request	Free	Payment in Rubles (approximate)
  tts-1 in BotHub	4 096	trial access	1 767.86 ₽ per 1 million tokens (2.66 ₽ per 1000 characters)
  tts-1-hd in BotHub	4 096	trial access	4 278.21 ₽ per 1 million tokens (6.43 ₽ per 1000 characters)
  Eleven v3 in BotHub	5 000	trial access	26.60 ₽ per 1 000 characters (by measurement)
  Eleven Multilingual v2 in BotHub	10 000	trial access	17.53 ₽ per 1 million tokens
  Eleven Flash v2.5, Turbo v2.5 in BotHub	40 000	trial access	8.76 ₽ per 1 million tokens
  OpenAI directly	4 096	no	$15 per 1 million characters, HD $30
  ElevenLabs directly	depends on model	10,000 credits/month (without commercial license)	from $6 per month
  Google Standard, WaveNet	depends on model	up to 4 million characters per month	$4 per 1 million characters
  Google Chirp 3 HD	depends on model	up to 1 million characters per month	$30 per 1 million characters
  Google Gemini 3.1 Flash TTS	depends on model	32,000 tokens	$1 per 1 million text tokens + $20 per 1 million audio tokens
  Yandex SpeechKit, API v1	not specified	according to AI Studio terms	1 342 ₽ per 1 million characters including VAT
  Yandex SpeechKit, API v3	not specified	according to AI Studio terms	0.1626 ₽ per request (long requests are counted proportionally)

  13.09.2026

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  AI videos for advertising: Grom TV – Russia’s first generative online TV

  Mass video generation by neural network is now available in the format of endless online television. GPTunneL launches Grom TV – an innovative platform where anyone can launch their own AI-generated video in just 20-25 seconds. This revolutionizes the concept of creating AI video for advertising and opens new horizons for AI content production.

  Imagine you are the director of your own channel, where your prompt turns into a video in real time. The effectiveness of AI versus real UGC in this format reaches new heights, demonstrating how quickly and extensively content can be generated.

  What is Grom TV and how does it work?

  Grom TV is generative online television where users enter text queries (prompts), and a neural network generates videos based on these queries. Your creations are broadcast live along with clips from other users. This is not just video generation from text; it’s a whole interactive experience.

  Your neuro-production by subscription in real time

  • Visit the website: gptunnel.ru/lab?section=tv
  • Register: The process is as simple as possible.
  • Write a prompt: Enter your query in the chat to the right of the screen.
  • Wait 20-25 seconds: This is the time from entering the prompt until the video appears on air. The generation itself takes about 7.8 seconds.
  • Watch: Your creation is broadcast live.

  For example, you can create a Gandalf and Scooby-Doo crossover, a film noir scene, or a KISS concert with “The Big Bang Theory” characters. The neural network confidently works with different styles, whether it’s Disney plasticity or black-and-white noir, and knows what Homer Simpson looks like without additional explanations.

  Behind the Scenes Technology: How does the neuro-pipeline work?

  Normal video generation is an asynchronous process. Grom TV, however, works live, which requires a completely different architecture. Every millisecond is crucial here so that the broadcast doesn’t “stutter.”

  Secrets of high speed and stability

  One Grom TV video lasts eight seconds with sound, including lip-sync if there is speech. Its generation takes about 7.8 seconds. This means a real-time coefficient of 0.97 — generation is ahead of the broadcast, albeit with a small margin. The entire process runs on one Nvidia B200 chip; sometimes a second one is connected to optimize speed.

  «Scaling was impossible — now it is. A single Nvidia B200 chip allows us to generate about 10,000 unique clips per day without a single repeat. This is the very AI video factory for e-commerce and beyond,» notes the founder of GPTunneL.

  Next, ffmpeg comes into play, which in 0.3 seconds manages to:

  • Adjust playback tempo to generation speed.
  • Apply a «film» style: grain, vignette, soft color.
  • Cut the video into two-second segments for smooth transitions.

  The use of the HLS protocol ensures compatibility with all devices: browsers, VLC, smart TVs. This guarantees that AI avatar with subtitles or AI clips with face replacement will be accessible to the widest possible audience.

  Infinite Content: When the Queue is Empty?

  Grom TV does not stand idle. If the queue of user prompts becomes empty, Grom GPT – GPTunneL’s own LLM model – steps in. It generates plots and feeds them into the broadcast, ensuring continuous transmission. This is like a neural network writing scripts and editing automatically.

  The ability to generate 10,000 unique clips per day without repeats demonstrates unprecedented efficiency. This is much more than a team of 500 people could create, making the AI conveyor of 500 videos per day a reality, not a dream.

  Safety and Moderation: Ethical Deepfake

  Live broadcast does not allow to «rewind», so the moderation system is built to filter unacceptable content before video generation. This ensures an ethical deepfake approach.

  Two Lines of Defense

  1. GromMod: The first filter from GPTunneL. Analyzes the entire prompt and rejects unacceptable content (e.g., violence) even before it is sent to the GPU. Rejection is instantaneous.
  2. Grom at the script stage: The second line of defense. Transforms the user’s request into a safe script for the video model, cleaning out sensitive details and softening formulations, but preserving the creative intent.

  This two-level system ensures that only safe content reaches the model. This is critically important for creating AI UGC for a crypto project or any other niche where reputation plays a key role.

  
  

  GPTunneL: A Platform for the Future

  Grom TV is a laboratory experiment of the Russian AI platform GPTunneL, which combines over a hundred AI tools for generating text, images, video, music, and voice. The project, which started in 2023, grew into a platform with over one and a half million users by 2026.

  This is a vivid example of what happens when a platform has its own models (video, LLM-moderator, LLM-scriptwriter) and its own hardware. AI video for advertising, mass video generation by neural network, creation of AI commercials – all this becomes accessible and scalable.

  Technically, it is possible to raise the generation quality to full-fledged streams with digital avatars, stable picture, and HD resolution. If a business is interested in a live generative video channel, such a solution can be implemented on a B200 server chip in real time.

  Conclusion: The Future of AI Production is Already Here

  Grom TV is not just an experiment; it’s a demonstration of the principle: generative video can be broadcast live on a single graphics card, and it will be a full-fledged, working channel. From AI UGC for a crypto project to a neural network for UGC advertising – the possibilities are endless. Where to order for crypto? Perhaps this is where the answer begins.

  We continue to refine the pipeline, improve speech quality, splice stability, and moderation. To see this for yourself, visit Grom TV, write your prompt, and become part of this technological revolution. It’s like an analog of Synthesia, but live and with the ability to generate 100 videos per day!

  Frequently Asked Questions

  How much does one AI creative cost in Grom TV?

  As part of the Grom TV experiment, video generation is available for free. The cost of 1 minute of AI video in commercial solutions will depend on the complexity of the request and the volume.

  Can Grom TV be used to create AI videos for advertising?

  Yes, Grom TV demonstrates the potential for mass video generation by neural networks, which is ideal for creating AI commercials. In the future, specialized B2B solutions may be developed.

  What is a real-time coefficient of 0.97?

  This means that the video generation time (7.8 seconds) is slightly faster than the clip’s duration (8 seconds), ensuring stable live streaming without delays.

  How does GPTunneL ensure content moderation?

  GPTunneL uses a two-level moderation system: GromMod filters out inappropriate prompts before generation, and Grom softens formulations at the script stage while preserving the creative intent.

  Where can I order mass video generation for crypto?

  Grom TV is currently a demonstration platform. For commercial inquiries regarding AI UGC for a crypto project and mass video generation, it is recommended to contact GPTunneL directly to discuss B2B solutions.

  09.09.2026

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  TikTok’s AI Revolution: How Neural Networks Are Changing Advertising and UGC Content

  The era of mass video generation by neural networks is already here. If you’ve ever considered running ads on TikTok, but the Ads Manager interface seemed too complex and the entry barrier too high, then this article is for you. We will tell you how new AI videos for advertising and AI-powered tools like Agentic Hub, Symphony Creative Studio, and Content Suite simplify campaign creation, management, and optimization, allowing you to generate AI UGC for a crypto project or any other business without deep expert knowledge of the platform.

  TikTok AI: New Horizons for Advertisers

  TikTok is actively implementing AI tools to democratize the process of creating and managing ad campaigns. According to Melissa Lorie, a short-form video expert, if TikTok Ads Manager is a restaurant, then MCP (Marketing Campaign Platform) is the waiter, and AI tools (like Claude or ChatGPT) are the menu.

  Thanks to this integration, marketers can interact with platforms in a normal way, asking questions about campaign performance, requesting reports, and generating ideas.

  MCP: Two-Way Data Exchange with AI

  Before MCP, connecting AI tools to ad platforms required complex API integrations implemented by developers. MCP provides two-way communication between AI and the platform, allowing not only data extraction but also actions to be taken.

  Some connections are read-only (for reports), while others are read-write (for creating campaigns or adjusting settings directly from an AI tool).

  Pro Tip: AI recommendations should not be taken as gospel. If a new creative has only been running for a few days, TikTok’s AI might suggest pausing it because it’s performing worse than older creatives. However, this ignores the fact that the platform prioritizes ads that have been running longer.

  Marketers need to rely on their own judgment and challenge AI suggestions by asking questions like: “Is there another way to do this?” or “Can I do this better?” Often, AI revises its recommendations when challenged.

  AI Skills: Shortening the Path to Success

  Available skills include Viral Video Creator, Ad Group Optimizer, Account Diagnosis Co-pilots, and ByteDance’s C-Dance video creation tool. These skills can be found by searching for “TikTok AI skills” online.

  • Viral Video Creator: This skill, a favorite of Melissa Laurie, analyzes millions of videos processed daily by TikTok to identify the most effective ads. Marketers can use this data to model their own videos, from the catchy beginning to the call to action. Melissa estimates that the skill brings creative work to 70% completion; the remaining 30% requires human refinement, such as emphasizing specific product benefits. This allows the AI for UGC advertising to operate at peak efficiency.
  • Skill Flexibility: Since skills are files, they can be modified, copied, and improved. Marketers familiar with AI can add additional instructions on top of official TikTok skills, customize recurring tasks, and create their own automations.
  • Cross-Platform Compatibility: An unexpected benefit is that skills are not tied to the platform on which they were created. A marketer can use a TikTok copywriting skill to create ads for Meta or find that Meta’s Instagram copywriting skill works better for their TikTok campaigns. This interoperability represents a complete paradigm shift.

  Campaign Management Automation

  For campaign management automation, Melissa recommends starting with the following basic tasks:

  • Automating daily performance reports.
  • Querying AI about which creative has the strongest “hooks.”
  • Monitoring creative fatigue.

  When setting up a campaign, marketers can tell the AI their budget and goals (e.g., “I have $5,000, and I want to achieve X”) and request specific recommendations for campaign setup. This allows mass video generation by AI to become truly manageable.

  Symphony Creative Studio: AI-powered Production by Subscription

  Symphony Creative Studio is TikTok’s hub for creating AI-powered commercials. The updated Symphony Agent uses TikTok trends, signals from top-performing ads, business goals, and brand guidelines to create creatives at scale.

  The tool can take a campaign from brief to finished video, generating product briefs, insights, storyboards, scripts, avatars, and videos. Marketers then intervene to revise scenes, add voiceovers, and refine calls to action. This is true AI content production.

  Instant Video Generation from Text

  The interface is simple and resembles the query window of any other AI tool. Marketers add their prompts, brand guidelines, and other details, and Symphony generates videos almost instantly. This allows for generating video from text with unprecedented speed.

  Product Videos: Where AI Shines Brightest

  Product videos are an area where Symphony is currently delivering the strongest results. Melissa gives the example of a furniture company that uses this tool to create 100 videos a week, each showcasing a separate piece of furniture.

  Since these videos don’t require people on camera, the company can produce content at a scale that would be impossible with traditional video production. This is an AI pipeline of 500 videos per day for e-commerce.

  AI Avatars: Challenges and Prospects

  Animated AI characters in videos are not yet ready for most brands. The consensus among many leading companies is that the technology is not yet mature enough to create convincing human presenters. The trust issue is real: an AI avatar saying “all my friends are talking about this” raises obvious concerns. However, AI avatars with subtitles and AI voiceovers are already actively used for other purposes.

  Hybrid Approach: AI-Enhanced Real Videos

  Melissa sees potential in using AI to enhance real videos, rather than completely replacing them. Her agency, Oysterly Media, works with 3M on content for a mop. Creators film themselves demonstrating the mop, and then AI adds visual elements, such as animated “angry germs,” to dramatize the before-and-after effect.

  
  

  This hybrid approach—real creator plus AI enhancement—is one of two main ways that prominent brands are using AI video now. The other is product demonstration videos without people, especially in the beauty industry, where AI can render product materials, textures, and effects, such as how lip gloss looks when applied.

  Content Suite: Market Research with AI

  Content Suite is a library of UGC-style videos and ads running on the platform. The new AI search update significantly simplifies finding relevant content for research and ideas, solving one of the biggest challenges marketers face: coming up with new content ideas. This is a powerful tool for AI UGC for crypto projects and other niches.

  Smart Search and Competitive Analysis

  Marketers can search Content Suite by keywords, industry categories (e.g., airlines or beauty), time filters (e.g., last 30 days), campaign goal (sales, lead generation, or brand awareness), and geography. The tool functions similarly to Facebook Ads Library, but is easier to navigate, especially with AI search.

  Melissa recommends starting by searching for the company’s own brand, then expanding to competitor products and the broader industry category. The real value lies in seeing what creatives other brands in the same niche are launching and using that insight to create original content.

  Content Suite can also be used for direct competitive research, identifying what types of ads competitors are investing in and what creative approaches they are testing. For those who have not yet used TikTok advertising, Content Suite is the best starting point. Before spending money, browse the library to see what videos are being created in the relevant industry. This research expands creative thinking and provides concrete models to work with.

  Anatomy of a High-Performing TikTok Video

  As AI tools make ad creation more accessible, the quality bar on the platform is rising. Melissa argues that the way to stay above this rising bar is to understand what makes a video high-performing. The first frame matters most, not the first three seconds.

  Key elements of a captivating video:

  1. First Frame: The initial image of the video that a viewer sees before deciding to scroll past. This single frame determines whether someone stops.
  2. Billboard Text: A large text overlay on the screen. Melissa calls it “billboard text” because it works like a roadside billboard: the viewer has one moment to glance at it while scrolling, so it must instantly grab attention and convey the video’s value.
  3. Opening Words: If there’s a voiceover or someone speaking, the first few spoken words must immediately hook the viewer after the visuals have stopped the scroll.
  4. Connecting Tissue: Melissa’s term for the element that connects the beginning of the video to its middle section. Without this connecting tissue, viewers drop off between the “hook” and the main body.
  5. Middle Content: When sharing tips, Melissa recommends grouping them in sets of 3 or 5. Three is the ideal number to keep content concise.
  6. Abrupt End: The video should end with a sharp cut so that viewers don’t realize it’s about to end. A common mistake is slowing down and speaking more slowly towards the end, which signals the video’s conclusion and gives viewers a reason to scroll past. A clean cut tells the algorithm that viewers watched until the end, which helps with distribution.

  Authenticity vs. Polish

  Melissa’s agency preaches creating videos that feel like content from a family member or friend. Polished, staged videos make viewers scroll past because they are immediately perceived as ads. Naturalness is what drives performance.

  Tips for creating natural content:

  • Don’t stand still and talk directly into the camera. Instead, creators should be doing something while talking: picking up a water bottle, applying makeup, or walking through a door.
• Even raw videos benefit from light editing. Melissa recommends setting a clear start and end point, adding subtitles (as many viewers scroll without sound), and using occasional jump cuts. These jump cuts signal to the brain that something interesting is happening, helping to retain viewers.

Pro Tip: Don’t give away the ending at the beginning of the video. Build anticipation by first hinting at the implications, then deliver the reveal in the middle or at the end. For example, instead of starting with “Instagram just launched feature X,” start with “Instagram just made a very big update. This will change how you do X, Y, and Z.” Then explain the implications before finally revealing the specific update. When the answer is given first, viewers have no reason to keep watching.

Conclusion: The Future of AI Production

Melissa Laurie, founder of Oysterly Media, believes that marketing agencies still have an important place in this new landscape. She compares it to flying: economy, business class, and first class all get passengers to the same destination, but some companies prefer the full range of agency services.

What has changed is that the economy option – doing it yourself with AI – is now a viable path for businesses willing to invest time in learning. Want to learn more about how AI writes scripts and edits, and how to use mass generation APIs? Explore new TikTok tools, browse Content Suite, and start experimenting. The future of AI clips with face swapping and AI video factories for e-commerce is already here, and it’s accessible to anyone willing to master these technologies. Start scaling your content production today!

Frequently Asked Questions

What is Agentic Hub and how does it help with TikTok advertising?

Agentic Hub is a TikTok platform that allows the integration of AI tools for creating, managing, and optimizing advertising campaigns. It simplifies marketers’ interaction with Ads Manager, enabling them to ask questions and receive reports in natural language, and automate routine tasks.

Can TikTok AI tools be used for other platforms?

Yes, one of the key advantages of TikTok’s AI skills is their cross-platform compatibility. For example, TikTok’s copywriting skill can be used to create ads for Meta, opening up new opportunities for marketers and changing the paradigm of working with different ecosystems.

How effective is Symphony Creative Studio for video creation?

Symphony Creative Studio allows you to generate videos from text, using TikTok trends, effective ad signals, and brand books. The best results are achieved when creating product videos without people in the frame. Some companies generate up to 100 videos per week, which would be impossible with traditional production. This is an excellent Synthesia alternative for mass production.

Should you use AI avatars in advertising videos?

Currently, AI avatars are not ready for most brands due to issues with persuasiveness and trust. Experts recommend using AI to enhance real videos, for example, by adding visual effects or animated elements, rather than completely replacing human presenters. However, AI avatars with subtitles and AI voiceovers can be useful in other contexts.

How to get started with AI advertising on TikTok?

Melissa Laurie recommends starting by exploring new TikTok tools and reviewing the Content Suite to understand what content other brands in your niche are creating. This will help form the basis for developing original creatives without initial advertising costs.