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  • 4 questions before implementing AI in event management

    4 questions before implementing AI in event management

    4 questions before implementing AI in event organization

    Implementing artificial intelligence in event organization can free up time for tasks that require human involvement. Katie McPhillips, marketing director at SmarterX, shared practical experience at the MAICON conference: an AI agent compiled a list of top-100 marketers for outreach while she handled other tasks. This is a vivid example of how AI helps without replacing humans.

    Event organization is a complex process that includes planning, promotion, programming, and post-event activities. Each stage requires attention to detail and human judgment. But what if part of the routine could be delegated to algorithms? Let’s break down how the SmarterX team uses AI at each stage and what questions to ask before implementation.

    Planning: AI brings back context for decision-making

    McPhillips’ team tasked AI with gathering competitive data: analyzing websites, creating sponsor and package tables. This freed up time for more important tasks. AI also helped structure pricing and forecasting, despite MAICON lacking a proper history.

    Now you can ask AI for data on past events and understand whether a change is a trend or a forecasting error. AI brings back context for decision-making that was previously unavailable due to unstructured data.

    Promotion: the inbox remains human

    McPhillips clearly defined the boundary: email is the most important channel, and she is not ready to send clients messages that don’t sound like their brand. An experiment with a GPT persona showed that AI recommendations for emails led to a drop in open rates and clicks.

    AI itself diagnosed the problem: the emails stopped answering clients’ questions. This confirms: AI does not replace strategy. It can analyze data, but it doesn’t understand the nuances of human communication that are critical for building trust.

    Programming: client feedback shapes the program

    A few months before the event, the team compares the draft program with feedback from conference evaluations, Slack discussions, webinar chats, and podcast comments. This helps identify strengths and weaknesses.

    4 questions before implementing AI in event management

    One review revealed a gap between beginners and advanced AI practitioners, leading to the creation of two new session formats: a transformation stage with 15-minute interviews and build sessions where participants create a working agent in 30 minutes. Client feedback shapes the program, and AI helps structure it.

    During the event: clips in an hour and speaker kits

    Goldcast connects to main stage recordings, and within an hour after each session, the team receives 10 short clips for social media. This helps attract attendees who missed the first day. By the end of the event, about 150 clips accumulate for announcing the next year.

    The next day, each speaker receives a kit with key moments, audience questions, clips, and graphics, compiled in the Claude project but reviewed by a human. This encourages speakers to return. Automating content creation allows the team to focus on engaging with attendees.

    Post-event: AI finds themes across days of content

    Many teams underestimate the opportunity to turn an event into year-round marketing. AI analyzes three days of sessions, identifying recurring themes and connections between speakers who have never appeared together.

    These themes turn into podcasts, social content, Slack discussions, and webinars. The team also links content to search queries for SEO and answer engines. AI finds themes across days of content, creating the foundation for a long-term marketing strategy.

    4 questions before implementing AI in event organization

    1. Does it eliminate administrative work or replace human relationships?

    Creating lists saves time for communication. Automating the communication itself can weaken relationships. Agent McPhillips enriched the contact list, but she sent the messages personally, with personal notes for 60-70% of acquaintances.

    This is a key distinction: AI should eliminate administrative work, not replace human relationships. If a tool starts interfering with personal communications, that’s a signal to reconsider the approach.

    4 questions before implementing AI in event management

    2. Will someone review the output before sending it to a client, speaker, or sponsor?

    Inaccurate content undermines trust. Speaker kits go through Claude, but every element is reviewed by a human, because a speaker who receives an incorrect review won’t appreciate the speed.

    Human review is not a luxury but a necessity. Even the most advanced AI can make mistakes in interpreting context or tone. Therefore, always assign someone responsible for final control.

    3. Does this process put client data at risk?

    Establish a data policy before experiments, not after an incident. SmarterX removes identifying details from every review before adding it to the knowledge base. “We’ll put anything into AI, even P&L, but not client data,” says McPhillips.

    Protecting client data should be a priority. Before implementing AI, make sure your team understands which data can be used and which cannot. This will protect you from legal and reputational risks.

    4. Can an existing tool handle 80% of the task?

    SmarterX prefers to hire staff rather than buy new software. A new tool should answer the questions: does the team need it, can it be trusted, and is it compatible with HubSpot. Start with the question: “Can the tool you already pay for solve 80% of the task?”

    Often companies buy new solutions without using the potential of what they already have. Optimizing existing tools can save budget and training time. If the current tool handles most tasks, it may not be worth complicating things.

    4 questions before implementing AI in event management

    Frequently Asked Questions

    How does AI help in event planning?

    AI automates the collection of competitive data, price analysis, and forecasting, freeing up time for strategic decisions. This allows the team to focus on creative aspects that cannot be automated.

    Can email marketing be fully automated with AI?

    It is not recommended. A personal approach maintains customer trust; AI can help with analysis, but not in creating personalized messages. Automation can lead to decreased engagement, as shown by the SmarterX experiment.

    How does AI improve the event program?

    AI analyzes participant feedback and identifies gaps, allowing the creation of new formats that meet audience needs. This makes the program more relevant and interesting for different skill levels.

    Conclusion

    The answers to these questions will change as AI evolves, but responsibility for relationships with clients, speakers, and sponsors will remain with people. This is where human contribution is most valuable.

    If you want to optimize event organization with AI, start with these four questions and ensure that technology serves your strategy, not replaces it. AI is a tool, not a replacement for human judgment. Use it to automate routine tasks, but keep control over key aspects of interaction.

    Ready to implement AI in your processes? Start small: choose one task, test the tool, and evaluate the results. Remember that success depends not on technology, but on how you apply it.

  • D+ Research: Brands Expand Marketing Strategies with Content Creators

    D+ Research: Brands Expand Marketing Strategies with Content Creators

    Brands are increasingly engaging influencers not only to boost awareness but also for seasonal campaigns, product launches, and even co-development of products. According to a fresh Digiday+ study based on a survey of 125 professionals from brands and agencies, as well as interviews with marketing directors, marketing with content creators is becoming a key element of growth strategies. In this article, we will explore how companies are moving from one-off promotions to long-term partnerships and what trends are shaping the future of the industry.

    Seasonal campaigns and product launches

    88% of respondents said they collaborate with influencers for seasonal promotions, and 78% for launching new products. For example, in September 2025, Best Buy partnered with the Dude Perfect group for brand exposure during the NFL and holidays. That same month, Albertsons Media Collective, together with agency Linqia, ran a campaign dedicated to the Lunar New Year. The results are impressive: engagement on Instagram was three times higher, and on Facebook four times higher compared to benchmarks.

    Co-development of products

    Some marketers go further, co-developing product lines with creators. Home goods brand Ruggable created a collection with chef and influencer Dan Pelosi after the success of his ShopMy page. Lauren Sherman-Caud, CMO of Ruggable, noted: “ShopMy allowed us to scale our influencer program 20 times. We use this data for deeper collaborations, especially with micro-influencers.”

    Categorization of content creators

    Jeremy Lowenstein, CMO of Milani Cosmetics, divides creators into three groups:

    • Those who shape brand perception.
    • Those who educate consumers (e.g., makeup artists).
    • Affiliate creators focused on sales through livestream shopping.

    This approach helps more accurately select partners for campaign goals and improve influencer marketing effectiveness.

    Creator programs: long-term relationships

    Instead of one-off campaigns, brands are increasingly launching creator programs, offering training, commissions, and early access to promotions. For example, fitness app Strava requires that all partners genuinely use the service. Louise Vee, CMO of Strava, explained: “We work with those who have pro status or are verified. They create content that we use across different channels.”

    YouTube, with over 3 million creators in its partner program, emphasizes the importance of authenticity in marketing. Brian Albert, Managing Director of YouTube, noted: “When brands micromanage the script, the audience senses the ad and leaves. The marketer’s job is to set goals, not dictate words, and trust the creator.”

    In-house influencers

    Some brands use employees as content creators. Ulta Beauty, for example, has a program for both external influencers and its own associates. Kelly Mahoney, CMO of Ulta Beauty, said: “Our employees are already trusted experts; their authentic content deeply resonates with shoppers. And the Ulta Beauty team brings together external creators, helping us stay relevant in cultural and beauty trends.”

    Исследование D+: бренды расширяют стратегии маркетинга с создателями контента — illustration 2

    Milani Cosmetics also engages its own developers for educational content. Lowenstein added: “The influencer world organically and inorganically amplifies the brand’s message. We’ve entered cultural conversations because algorithmically it resonates on platforms.”

    Non-human influencers

    Duolingo uses its mascot—the owl Duo—as an influencer. Manu Orssow, CMO of Duolingo, explained: “We have our own influencer—the owl. Creators want to work with us because they see us not just as a brand, but as a good content creator. This changes the dynamic: we collaborate as two creators, not a brand and a creator.”

    Frequently asked questions

    What types of influencer campaigns are most popular?

    According to the survey, 88% of brands use influencers for seasonal campaigns, 78% for product launches, and many for awareness.

    How do brands select creators for programs?

    Criteria include authentic product use, expertise (e.g., Olympians for Strava), and the ability to create content that can be used across multiple channels.

    Why is authenticity so important in creator marketing?

    YouTube confirms that audiences sense “overproduced” content. Trust in the creator and natural brand integration improve effectiveness.

    Conclusion

    Marketing with content creators is evolving from one-off promotions to long-term programs, including co-development of products and using employees as influencers. Brands should invest in authentic partnerships and trust creators to achieve better engagement and sales. Want to learn how to implement such strategies in your business? Contact us for a consultation.

  • AI in Content Marketing for Agencies: 6 Ways to Stay Competitive

    AI in Content Marketing for Agencies: 6 Ways to Stay Competitive

    Are you wondering what your agency can offer that ChatGPT cannot? Trying to figure out where AI in content marketing should really fit into your workflow? The numbers from late 2025 and early 2026 look daunting. The common explanation is that AI is replacing agency work, but that is not the whole truth. AI has not replaced agencies; it has replaced what agencies traditionally charge for.

    In the past, agencies provided distribution: “We can get attention.” But now anyone can publish anything instantly. Even before AI became mainstream, the oversaturated internet was criticized. Today, audiences want less content, not more. There is no point in publishing what no one needs, yet many agencies have been doing exactly that.

    Why Clients Are Questioning the Retainer

    Client retention over the next 24 months will depend on who knows more and can prove it in every pitch, brief, and call. The retainer is not just a contract for services; it is a contract for relationships. Clients bring business strategy, institutional knowledge about the company, and industry context. Agencies bring expertise, capabilities, and the willingness to answer when the client calls.

    But LLMs are always available. They have infinite productivity and can sound like experts. Unsurprisingly, clients paste a brief into ChatGPT, get a draft in a minute, and ask: “What does my agency give me that ChatGPT cannot?”

    What Clients Truly Value

    When we talk about “relationships,” it sounds vague. But relationships provide tangible benefits. Over time, an agency begins to understand the client’s business at the same level as the client themselves. Research, competitive analysis, and information synthesis become routine tasks done hastily. Every time a client has to bring the agency up to speed, trust erodes.

    Clients hate a blank slate just as much as anyone else. Agencies should treat idea generation as a core service, not preparatory work. Bring strong, market-differentiating ideas. Agencies cannot rely on the client as a guide into their business world — they must independently study that world and connect internal facts with external events.

    AI Content Strategy: What AI Should Do in an Agency

    Most AI strategies treat AI as an execution layer, but it works much better as a source of ideas. However, general LLMs lack the latest knowledge, hallucinate, and operate on the same data as everyone else. This leads to a “gray mass” — AI sludge. Everyone uses the same tools and prompts without unique source material.

    E-E-A-T Still Works: Why Thought Leadership Pays Off More Than Ever

    Demand for thought leadership is returning because it delivers results. Thought leadership content comes from a specific person with authority, providing trust signals for AI search engines. Publishing such content on a regular basis teaches AI systems that the author owns the topic. A generic AI-generated conclusion that could belong to anyone does not carry the same weight.

    Step 1: Use Listening to Find Content Gaps

    Content intelligence ensures the agency learns the news first. This means constantly tracking news, events, and leader opinions to generate a stream of ideas that others don’t have. Marketers look for places where real conversations happen. Traditional channels broadcast information through industry publications, competitors, and RSS feeds. But increasingly, you need to look for unfiltered spaces where real problems live.

    The problem is that finding valuable ideas requires enormous effort. You need to scan the internet, monitor sources, and spend AI tokens on research. Find the most valuable channels. The client may provide direction, but not always. Make this part of onboarding.

    Practical Tip

    Use Chatter to monitor industry updates and what competitors are writing about. Set up a feed for each client, and Chatter will collect and tag stories from industry sources. Over time, it will learn to identify which stories are most relevant.

    Step 2: Identify the Right Signal and Angle

    The more options you have, the better. To recognize the right signal, you need to know the client. High-impact content stands out through contrast. Saying the same thing as everyone else is pointless. The agency earns not only from writing but also from framing. Focus on what makes the client’s perspective or product different from others. What can the client say that no one else can?

    Practical Tip

    By providing Chatter with your services, keywords, personas, preferred publishers, and competitors, you will find content and industry discussions that you or your clients might not have known about.

    AI в контент-маркетинге для агентств: 6 способов оставаться конкурентоспособными — illustration 2
    AI в контент-маркетинге для агентств: 6 способов оставаться конкурентоспособными — illustration 2

    Step 3: Repurpose Content Across Different Formats

    A compelling angle provides enough material to stretch across 3–5 formats: a LinkedIn post, a newsletter, a brief solution, and an outbound email—without losing impact. Good analytics generate strong ideas, and strong ideas generate good distribution. But five formats mean five blank pages. One person takes longer to write, and a team risks inconsistency. Many marketing teams spend weeks on repurposing, and by the time they publish, competitors have already taken the position.

    Chatter supports your momentum. The Content Master allows you to select stories you want to mark as relevant and directly translate your point of view into the desired format. This reduces draft time and allows you to test content in different forms.

    Step 4: Distribute across the content calendar

    Now that the idea is broken down into several formats, you can stretch the publication over several weeks to attract more attention and create opportunities for engagement.

    Step 5: Measure content effectiveness

    Measuring effectiveness by format shows what worked and what didn’t. Preparing diverse formats provides a complete picture of engagement so you know where to start next time. For an agency, this closes the feedback loop and lays the foundation for the next conversation with the client.

    Step 6: Repeat for each client

    Manually repeating this process for each client can be tedious. Use Chatter to track all clients’ industries simultaneously. By adding them as a brand in Chatter, you can add them as users, discuss ideas, and collaborate.

    Pitfalls to anticipate

    In practice, everything can be chaotic. Content intelligence is a full-time job for an internal team, let alone an agency. Marketing analytics usually depends on who saw and remembered what. Notice how much work needs to be done before the content is written. Teams use AI at the draft stage and wonder why it’s still difficult. The problem is that the preparatory work is chaotic. The further upstream you optimize, the greater the effect.

    AI platforms like Chatter provide a central hub for channels where ideas originate, with a feed that learns to identify the right content and the ability to segment by client.

    Agencies that will survive in 2028

    Agencies that lose retainers are not losing because of the wrong AI stack. They are losing because what they charged for has become cheap, and they haven’t replaced it with something the client can’t get elsewhere. Knowledge and its demonstration in every interaction is that something. Agencies that will win will treat industry analytics as infrastructure, not a chaotic Friday task. When content intelligence is continuous and organized, the agency can stay informed and join the client in the moment. This justifies the relationship and the cost.

    Frequently Asked Questions

    What if the client doubts the value of the retainer?

    Never come empty-handed. Always bring ideas based on analytics that the client cannot get from ChatGPT. Demonstrate knowledge in every interaction.

    How AI Can Help, Not Replace, an Agency?

    Use AI as a source of ideas and analytics, not just for execution. Tools like Chatter help track trends and generate unique angles.

    Why Has Thought Leadership Become More Important?

    AI search engines prioritize content with high trust signals. Regularly publishing expert content strengthens authority and improves visibility.

    Conclusion

    Agencies that invest in content intelligence and build knowledge-based relationships will remain in demand. Start implementing these six steps today to prove your value. Try Chatter — a tool that helps you stay one step ahead.

  • Marketing in the Beauty Industry 2026: Channels, Creators, and Budget

    Marketing in the Beauty Industry 2026: Channels, Creators, and Budget

    Marketing in the beauty industry in 2026 is not about long campaigns and static banners. It’s about weekly video releases, constant work with content creators, and a clear understanding of where every ruble goes. This article provides a real 90-day plan, team structure, production economics, and key metrics to show whether your strategy is working.

    Distribution Channels in 2026

    Brand loyalty in the beauty segment is minimal. Therefore, TikTok remains the most effective channel for generating interest in a product. Instagram Reels is the second most important, YouTube Shorts is third, but with potential. Pinterest works for the awareness stage and high-intent search. Retail media platforms (Sephora, Ulta, Amazon Ads) become the final conversion point.

    According to NielsenIQ, video formats deliver 40% higher engagement rates compared to images. McKinsey notes that beauty livestreams in China account for about 12% of all online cosmetics sales, and Western countries are quickly closing this gap.

    TikTok

    Content can range from 3 seconds to 10 minutes. Purchases can be set up via Shopify. In the first week after product launch, plan 5–10 short videos (15–30 seconds) from creators.

    Instagram Reels

    Since 2026, Reels length has been increased to 20 minutes, opening up opportunities for longer tutorial videos. Optimal frequency is 3–4 Reels per week.

    YouTube Shorts

    If you’re already creating content for TikTok, cross-posting to Shorts requires almost no additional cost. Short videos can be used to promote longer tutorials on the same channel.

    Pinterest

    Static pins still deliver good CTR to product pages, especially in skincare and fragrance categories. Example: the brand 100% PURE uses paid campaigns on Pinterest and Instagram Reels to attract audiences.

    Marketing in the Beauty Industry 2026: Channels, Creators, and Budget

    Content Formats That Sell

    In 2026, five formats work: tutorials, transformations, GRWM (get ready with me), founder videos, and comparisons (dupes). Tutorials work because beauty products need to be shown in action. Transformations provide visible results on screen. GRWM creates parasocial connections. Founder videos build trust. Comparisons are effective if you avoid using the competitor’s name or logo and instead compare with a price segment.

    Example: e.l.f. Cosmetics runs live shopping streams with up to 20,000 concurrent viewers, selling thousands of product units per event. Rare Beauty combines UGC tutorials with Selena Gomez’s GRWM routines, boasting 8.4 million Instagram followers and 5 million on TikTok.

    Building a Creator Funnel

    Instead of one-time product mailings, a multi-tier program works. Define four levels:

    • Brand Ambassadors — on a quarterly retainer with category exclusivity.
    • Mid-Tier Creators — paid per post with whitelisting rights.
    • Micro-Creators — gifted product plus performance bonuses.
    • UGC Creators — paid only for assets, content used in paid traffic.

    Technology simplifies management. Archive tracks nearly 100% of Instagram tags and 98% of TikTok tags, saving at least 20 hours per week. GRIN and Upfluence allow paying creators and tracking sales via Shopify. Traackr provides beauty industry benchmarks across 13 platforms. For smaller teams, Modash offers access to 350 million creators. Technology budget ranges from $500 to $5,000 per month.

    Important: all creator posts must include clear disclosure of material connection (#ad, #sponsored) in accordance with FTC 16 CFR Part 255. Violations risk legal consequences.

    Video Production Economics

    There are three ways to organize video production. Each has its own cost curve.

    Marketing in the Beauty Industry 2026: Channels, Creators, and Budget

    In-House Studio

    Hire 2–3 creatives, a part-time videographer, and set up an editing suite. Total costs: $400,000–$700,000 per year. High control, but slow ramp-up and limited by the weakest team member.

    Full-Service Agency

    Retainer of $30,000–$80,000 per month. Suitable for launches or large campaigns, but not for daily content flow.

    External Editing Partner

    Fixed monthly fee for editing services: $3,000–$10,000 per month. Fast, consistent, works from your creative director’s brief. Vidpros is an example: you send raw footage (from iPhone, shoots, or creators) and receive finished videos for paid and organic distribution.

    Metrics to Watch

    In beauty marketing, four key metrics stand out:

    • Hook rate — percentage of viewers who watch the first 3 seconds. Below 30% indicates a problem with the opening; above 50% means scale the budget.
    • View-through rate — percentage who complete a 15–30 second video. For beauty, the norm is 25–35%.
    • PDP attach — percentage of clicks to the product page. For brand awareness creative: 1–3%; for direct response: from 5%.
    • Retail sell-through — weekly sales per store at Sephora, Ulta, or Target. Key metric for retail chains.

    These four indicators help determine which content to scale and which to stop.

    90-Day Action Plan

    1. Days 1–15. Analyze the last 90 days. Select top 5 by hook rate and top 5 by PDP attach. Create a plan for the next quarter.
  • Days 16–30. Recruit 8–12 creators through a four-tier funnel using Modash or Archive. Negotiate content usage rights.
  • Days 31–45. Shoot with the founder (3–5 hours of raw material). Send the material to the editing team — first cuts within 72 hours.
  • Days 46–60. Launch a paid campaign with a test budget of $5,000–$15,000. After 7 days, evaluate the hook rate, cut the bottom third, and scale the top.
  • Days 61–75. Launch a second wave of creators using winning assets. Whitelist the best videos. Add cross-posts to Pinterest and YouTube Shorts.
  • Days 76–90. Summarize results on PDP attach, sell-through, and revenue attributed to creators. Formulate a plan for the next quarter.

    • Brands operating at this pace consistently outperform those that work campaign-to-campaign with three-month gaps.

    Marketing in the Beauty Industry 2026: Channels, Creators, and Budget

    Frequently Asked Questions

    How does beauty marketing differ from branding?

    Branding is long-term work on identity and positioning. Marketing is short-term work on tracking consumer behavior and conversion. Branding drives marketing, but they are not interchangeable concepts.

    Should I choose an agency or a freelancer?

    Agencies are better suited for product launches and large integrated campaigns. Freelancers are better for specific tasks. External editing partners are optimal for a continuous content flow that neither can provide.

    How much should a beauty brand spend on marketing?

    Many DTC brands spend 20–30% of revenue, skewed toward paid traffic and creator work, since beauty is a category with high AOV and LTV.

    Do I need to disclose every paid creator post?

    Yes. FTC 16 CFR Part 255 requires explicit disclosure of material connection within the post itself, not via a link in the profile.

    What is a realistic budget for a creator program in 2026?

    For companies with $10–30 million in annual revenue — $20,000–$80,000 per quarter. This will support a four-tier funnel with 30–50 active creators, content rights, and tools.

    If your team shoots more than it can process, we can help. Send a sample shoot and a brief brief, and we will edit the first video for free so you can evaluate the result before full collaboration.

  • AI video advertising vs traditional production

    AI video advertising vs traditional production

    In modern marketing, AI video advertising is becoming an increasingly popular tool. These are short promotional videos created primarily using generative AI: script, voice, character, image, and scenes. Traditional production uses real actors, a film crew, locations, and editing. AI is usually faster and cheaper for variations but requires disclosure and strict review. Classic filming remains stronger for main brand films.

    Comparing AI and traditional production should not be based on the principle of “new versus old.” They are different tools. AI wins where many variations and quick tests are needed. Filming wins where live emotions, premium visuals, real people, and high trust are important.

    McKinsey shows that AI is already widely used in companies, but scaling remains challenging: most organizations are still experimenting or piloting, while about a third have begun scaling AI programs. Successful companies more often redesign workflows and introduce human review of results.

    Cost per Variation

    In traditional production, the main cost is not just filming. Each new version is expensive: a different actor, different text, different language, different location, new editing.

    Parameter AI Video Advertising Traditional Filming
    First variation Requires brief, generation, editing Requires script, team, filming, editing
    Additional variation Usually cheaper: changes text, scene, voice, character Often requires reshoots or complex rework
    10 variations Feasible in one production cycle Usually significantly more expensive and slower
    100 variations Possible with strict matrix and review Usually economically challenging

    AI reduces the cost not necessarily of the main video, but of each subsequent version. If one expensive video is needed for a big launch, classic filming may be better. If 30 audience approaches need testing, AI is almost always more convenient.

    Where VibeVO Fits in This Model

    VibeVO does not force a brand to choose between “only AI” and “only classic filming.” The practical approach is different: classic filming can be retained for main brand materials, while VibeVO is used for mass production of variations.

    For example, a brand can shoot one main video or create a mascot image, and then through VibeVO quickly produce dozens and hundreds of short promotional materials based on it. These can be different first frames, different texts, different languages, different overlays, different versions for audiences, and different character behavior scenarios.

    This approach is especially useful when you need to:

    • quickly test several advertising hypotheses;
    • produce many short videos;
    • localize materials for multiple markets;
    • use a single character in a series;
    • get cheap options without reshoots;
    • cover a large volume of materials in one production cycle.

    In other words, traditional production creates an expensive foundation, while VibeVO helps scale it into a stream of advertising materials.

    Illustration 1

    Time from Brief to Variant

    Stage AI Video Advertising Traditional Production
    Idea Fast Fast, but requires approvals
    First variants 1–3 days with a ready process Weeks with filming
    Edits Fast Depend on footage shot
    Localization Fast with ready rules Often requires dubbing and adaptation
    New character Can be created in the system Needs an actor, model, or design

    AI is especially strong when the team doesn’t know in advance which variant will work. Instead of one hypothesis, you can prepare several messages, formats, and first frames.

    How Many Variants Can Be Made Per Week

    Team Realistic Volume
    Small team without a process 5–10 variants per week
    Team with templates and review 20–40 variants per week
    Mature process with a variant matrix 50–100 variants per week
    Traditional filming without reshoots Usually fewer variants, but higher production value

    More variants doesn’t mean better. If all variants differ only in button color, that’s not creative diversity. You need different first frames, angles, characters, formats, and promises.

    Requirements for Live Actors

    Traditional production requires people: actors, presenters, models, camera operator, sound, makeup, staging. This provides liveliness and trust but increases cost and complexity.

    AI video advertising can use:

    • a synthetic character;
    • AI voiceover;
    • created scenes;
    • a virtual presenter;
    • product images;
    • additional footage without filming.

    But if the image or voice of a real person is used, rights are needed. The Tennessee ELVIS Act was created as protection against AI deepfakes and voice cloning, showing how important voice and likeness rights are in synthetic production.

    Illustration 2

    Localization Cost

    AI is especially useful for localization.

    AI видеореклама vs традиционный продакшн — illustration 2
    Task AI Video Ad Traditional Video
    Translate text Fast Fast
    Re-voice Fast, if voice is synthetic Need a voice actor or studio
    Change the character Possible Need new filming
    Change the background Possible Need graphics or filming
    Produce in 10 languages Realistic Expensive and time-consuming

    But localization is not just translation. It requires checking cultural context, legal wording, prohibited words, local requirements, and AI disclosure.

    Disclosure Obligations: EU and USA

    In the EU, the key document is the AI Act. The European Commission states that generative AI content must be identifiable, and certain types of AI content, including deepfakes, must be clearly labeled; transparency rules come into effect in August 2026.

    In the USA, there is no single general rule for all commercial AI advertising. There are state laws and platform rules. For example, New York passed a law on the disclosure of synthetic performers in advertising, which is set to take effect on June 9, 2026. California’s AB 2655 concerns deepfakes in electoral contexts and imposes obligations on large online platforms, so it cannot be automatically applied to regular commercial advertising.

    Brand Review Burden

    AI reduces production costs but increases the review burden.

    Illustration 3
    Risk Why It Occurs
    Factual error AI may “invent” a product characteristic
    Resemblance to a real person A character may accidentally resemble a known face
    Incorrect voiceover Synthetic voice may sound like a real person
    Strange facial expressions Reduces trust
    Style violation Material does not look like the brand
    No disclosure Risk of rule violation
    Too “AI-like” appearance Audience notices artificiality

    For classic filming, the risks are different: cost, deadlines, reshoots, actor availability, location rights, and localization complexity.

    Production Quality Ceiling

    Traditional production currently has a higher ceiling in terms of staging value. If you need an expensive car commercial, a cinematic scene, a famous actor, complex lighting, or real emotion, filming is stronger.

    AI is stronger in other areas:

    • mass variations;
    • short advertising videos;
  • quick tests;
  • localization;
  • game characters;
  • product demonstrations;
  • banners and badges;
  • recurring series with an AI hero.

    • When Each Approach Wins

    Situation AI Better Filming Better
    Need 50 variants Yes No
    Need a main brand film Sometimes Yes
    Need localization in 10 languages Yes More difficult
    Need a real founder No Yes
    Need a virtual character Yes Not necessarily
    Need high trustworthiness With caution Yes
    Need a quick test Yes No
    Need a premium image Sometimes More often yes

    Hybrid Strategy

    The strongest approach is hybrid.

    1. Shoot one high-quality main material.
    2. Use it as the foundation of the brand style.
    3. Create dozens of short variants with AI.
    4. Test different first frames and messages.
    5. Localize the best versions.
    6. Keep filming for major moments, and AI for regular production.

    Practical Hybrid: Filming for Main Material, VibeVO for Scale

    For many brands, the best scheme looks like this:

    Illustration 4
    Stage Who is better suited
    Main brand film Classic filming
    Mascot or visual foundation Filming, design, or AI
    50–100 short ad variants VibeVO
    Localization VibeVO
    Badges and short banners VibeVO
    Quick edits VibeVO
    New waves of tests VibeVO

    This way, the brand maintains quality where it truly matters and reduces costs where volume is important. There is no need to reshoot every variant. It is enough to have a strong foundation, a clear brief, and quality rules.

    FAQ

    Can AI replace all traditional production? No. AI can replace part of the tasks: variants, localization, short videos, badges, characters, draft scripts. But for large brand films, complex staging, real people, and high trustworthiness, classic filming remains strong.

    Will viewers understand that the ad was created by AI? Sometimes yes. Especially if there is strange facial expression, unnatural voice, errors in hands, eyes, or movement. But the main question is not whether they will notice, but whether the brand honestly discloses synthetic material where required.

    What works better on TikTok? There is no universal answer. TikTok emphasizes the importance of the first seconds, early value proposition, and creative brand signals. AI can work well if the video looks natural for the platform, quickly grabs attention, and passes brand review.

    Conclusion

    The choice between AI video advertising and traditional production is not a battle of technologies, but a matter of strategy. AI offers speed, scale, and flexibility for testing and localization. Classic filming provides trust, emotion, and premium quality.

  • Best Scripts for AI Video Ads

    Best Scripts for AI Video Ads

    Best Scenarios for AI Video Advertising: Apps, Online Stores, Localization, Mass Testing, Regulated Categories, AI Characters, and Limitations

    AI video advertising works best where the volume of variants directly impacts return on ad spend. Key scenarios include app installs, online stores, localization, mass message testing, and series with an AI character. Bad scenarios are expensive brand films, high-trust categories, controversial promises, imitating real people without consent, and situations where production quality defines brand image.

    AI advertising is not a universal replacement for all production. Its strength is speed, variability, and reducing the cost of each subsequent version. Its weakness is trust, legal limitations, the risk of artificiality, and the need for strict verification.

    McKinsey shows that AI adoption has already become widespread, but value does not appear automatically: companies with the best results more often have redesigned processes, human oversight, and outcome measurement.

    Scenario 1. App Installs

    For apps, AI advertising is especially useful because in this category it is important to quickly test different messages.

    What can be tested:

    • time savings;
    • convenience;
    • benefit;
    • interface simplicity;
    • comparison with the old method;
    • emotion after use;
    • screen demonstration;
    • short video in a user-generated style.

    The plus of AI is that the team can quickly make 20–50 short versions and find which first frame gives the best response. For apps, this is often more important than an expensive staged video.

    Scenario 2. Online Stores and Product Variants

    Online stores rarely need one perfect video. They need dozens of materials for different products, collections, prices, audiences, and occasions.

    Task How AI Helps
    Many products Quickly creates variants for product cards
    Different categories Changes background, presentation, text
    Promotions Quickly updates the message
    Seasons Adapts visuals for holidays or periods
    Overlays Makes short banners for videos and social media
    Voiceover Quickly creates versions in different languages

    The main risk is incorrectly showing the product. Therefore, all images and descriptions must be checked against the actual product card.

    Scenario 3. Localization at Scale

    Scenario 4. Mass Testing of Advertising Materials

    AI is useful when a team wants to test not just one piece of material, but a map of hypotheses.

    For example:

    • 5 angles of presentation;
    • 4 first frames;
    • 5 formats;
    • 2 languages;
    • 2 video lengths.

    TikTok emphasizes that the first seconds of a video are critically important for ad memorability, and the value message needs to be delivered early. For AI video, this is especially important: a bad first frame can ruin even a technically polished piece of material.

    Scenario 5. Regulated Categories — Only with Restrictions

    AI can be used in regulated categories, but with caution. These include finance, medicine, education, gaming, betting, insurance, investments, children’s products, and other sensitive areas.

    Illustration 2

    What is mandatory:

    • a legal list of permitted formulations;
    • a list of prohibited promises;
    • verification of age restrictions;
    • verification of images of people;
    • voice verification;
    • disclosure of AI, if required;
    • final approval by a human.

    AI cannot be used for fabricated reviews, unsubstantiated medical claims, impersonating a doctor without basis, or promising income without disclosing risks.

    Лучшие сценарии для AI видеорекламы — illustration 2

    Scenario 6. Series with an AI Character

    An AI character can become a recurring face of the brand: an assistant, host, salesperson, mascot, game hero, or explaining expert.

    Pros:

    • the character is always available;
    • series can be produced quickly;
    • language can be easily changed;
    • a consistent style can be maintained;
    • no dependence on the actor’s schedule.

    Risks:

    • the character may look artificial;
  • the audience may not trust;
  • verification for similarity to real people is needed;
  • disclosure is required where necessary.

    • For serial content, an AI character is especially useful when the brand does not pretend it is a real person, but honestly uses it as a synthetic hero.

    How VibeVO addresses these scenarios

    VibeVO is best suited for tasks where the brand needs volume: many videos, many banners, many variations of one message, multiple languages, different audiences, and regular new waves of materials.

    Illustration 3
    Situation What can be done through VibeVO
    There is a product Create dozens of videos for different benefits
    There is a mascot Make a series with the character in different scenes
    There is an advertising hypothesis Prepare many variations for testing
    There are multiple markets Localize materials into different languages
    There is a brand style Scale it into different formats
    There is a reach task Create banners and short ads
    There is an installation task Create short videos with different first frames

    The main difference from regular production is scale. VibeVO is not limited to one video. If the brand has a clear brief, production can be quickly scaled up to get a large flow of materials for a specific advertising task.

    For apps, this could be dozens of installation videos. For an online store, variations by category and product. For localization, versions in different languages. For a brand with a mascot, a regular series where the character explains the product, jokes, shows use cases, or hosts short educational videos.

    Where AI video ads are best not used

    Situation Why AI is not better
    Main brand film High production value needed
    Founder’s personal story Real person needed
    Medical claims High risk of errors
    Financial guarantees Legal rigor needed
    Luxury brand Artificiality may reduce perception
    Trustworthy testimonial Real customer is better
    Imitation of a celebrity Rights and reputation risks

    VibeVO should not be used for deceptive imitation of a real person, fake testimonials, or questionable claims. If a real client, doctor, expert, founder, or public figure is needed, a real person and their participation rights are required. AI is best used where the brand honestly creates a synthetic advertising format: a character, a banner, a product video, explanatory material, or a localized version.

    FAQ

    Can AI video advertising ruin brand perception?

    Yes, if the material looks cheap, unnatural, deceptive, or violates the company’s style. The risk is lower if AI is used for clear tasks: variations, localization, overlays, short clips, tests, rather than for simulating a real person without disclosure.

    Illustration 4

    Is AI video advertising safe for regulated categories?

    Only with strict restrictions. Approved formulations, legal review, a ban on fabricated testimonials, control over images, and disclosure of AI where required are necessary. Without this, AI advertising in a regulated category can be dangerous.

    What is the worst-case scenario for AI video advertising?

    The worst-case scenario is presenting a synthetic person as a real expert or client, making unsubstantiated claims, and not disclosing the use of AI. This simultaneously risks trust, legal issues, and reputation.

    Conclusion

    AI video advertising opens up huge opportunities for scaling, testing, and localization. But success depends on choosing the right scenarios and strict quality control. Start small: choose one of the described scenarios, test it on a small volume, and measure the results. Ready to try? Contact us to discuss your first project with VibeVO.

  • How AI Production Works for Brands

    How AI Production Works for Brands

    AI production for brands is not just a set of tools, but a structured eight-step process that turns chaotic generation into a manageable flow of quality content. In this article, we will break down how AI production for brands works: from receiving a brief to returning results for the next cycle. You will learn how to avoid common mistakes and build a system that delivers measurable results.

    AI production for brands is an eight-step process: receiving a brief, human creative direction, AI generation, manual editing, brand and advertising claims review, disclosure and metadata application, placement, and returning results for the next cycle. Quality depends on strong creative management in the second step and rigorous review in the fifth; without this, the result is mediocre AI content.

    For a brand, AI production should look not like a chaotic set of tools, but like a clear workflow. It includes input data, responsible people, review rules, disclosure, metadata, and a connection to advertising results.

    Gartner specifically highlights the risks of generative AI: lack of transparency, accuracy, fabricated facts, biases, unintentional disclosure of intellectual property, copyright infringement, and cyber and fraud risks. Therefore, a brand process should start not with a command to “make it look good,” but with a brief, constraints, and review.

    How It Looks for a Brand in VibeVO

    In VibeVO, a brand can come with a brief, brand materials, examples of the desired style, and constraints — and then production is launched through a large network of creators. If the task requires scale, up to a thousand creators can be involved, working in parallel on variations of videos, banners, images, characters, and other advertising materials.

    This is especially useful when a brand needs not just one video, but a large volume: 100 variations for testing, 500 materials for different audiences, or regular production of new advertising materials every week. The brand does not manage each creator manually. It sets the brief, quality rules, and constraints, while VibeVO organizes production, review, and delivery of finished materials.

    What the Brand Provides What VibeVO Does
    Brief Breaks down the task into production assignments
    Brand Style Ensures materials align with the brand
    Constraints Excludes prohibited topics, words, and claims
    Examples Conveys the desired direction to creators and AI tools
    Target Volume Scales production to the required number of variations
    Review Requirements Organizes selection, edits, and final delivery

    This approach relieves the brand of the main operational pain: there is no need to build a complex production system yourself, find dozens of creators, control deadlines, or manually collect materials from different sources.

    Step 1. Receiving the Brief

    Step 1. Receiving the Brief

    The brief is the foundation of the process. The more precise the initial assignment, the fewer garbage options the AI will create.

    Block What to Specify
    Product What we are advertising and its benefit
    Audience Who should understand the message
    Goal Awareness, installation, purchase, lead
    Style Calm, bold, expert, entertaining
    Restrictions Themes, words, images, visual solutions
    Claims What can be said about the product and what cannot
    Brand Materials Logo, colors, fonts, examples
    AI Disclosure Where and how synthetic content needs to be marked
    Platforms TikTok, Reels, Shorts, apps, website

    In VibeVO, the brief must be specific enough to be quickly handed off for production at scale. The clearer the brand describes the task, the faster authors and AI tools start generating useful options.

    Example:

    Illustration 1

    We need short videos with a mascot for the app. The mascot should explain three benefits: time savings, simplicity, and convenience. We need options for a Russian-speaking audience, without financial promises, in a light conversational style. First volume — 100 materials.

    Step 2. Creative Direction — Belongs to Humans

    Creative direction cannot be fully handed over to AI. A human must decide:

    • what idea the user should grasp in the first seconds;
    • what brand image is needed;
    • what will be the main entry point into the video;
    • what conflict or benefit underlies the message;
    • which options are worth testing;
    • where the boundary of what is acceptable lies.

    McKinsey notes that companies with the best AI results are more likely to redesign workflows and have clear rules for when AI output must undergo human review. For AI production, this is a key principle: value comes not from the tool, but from the process around it.

    Step 3. AI Generation

    After creative direction, generation begins. Here, the following are created:

    Как работает AI-продакшн для брендов — illustration 2
    Как работает AI-продакшн для брендов — illustration 2
    • texts and short scripts;
    • images;
    • backgrounds;
    • characters;
    • talking faces;
    • voiceovers;
    • banner options;
    • scenes;
    • additional footage;
    • versions in different languages.

    At this step, it is important not to try to get the final material immediately. The goal of generation is to provide a set of options from which the editor and creative director will select the strong ones.

    Illustration 2
    Variable Examples
    Angle Time savings, price, simplicity, trust, emotion
    First Frame Face, product, question, problem, comparison
    Tone Conversational, expert, meme-like, calm
    Format Talking head, demonstration, text overlay, mini-scene
    Call to Action Download, try, learn, buy, compare

    Step 4. Manual Editing

    Step 5. Brand and Advertising Claims Review

    AI creates raw material. Humans turn it into advertising.

    The editor checks:

    • editing;
    • rhythm;
    • first frame;
    • lip-sync and voice synchronization;
    • text readability;
    • video length;
    • framing;
    • pauses;
    • platform compliance;
    • final call to action.

    For short videos, the first seconds are critical. TikTok’s advertising recommendations state that most of the impact on ad memorability occurs in the first six seconds, so the value of the message should be delivered early.

    Step 5. Brand and Advertising Claims Review

    This is the main checkpoint. At this step, the material is either approved for placement or sent back for revision.

    Illustration 3
    Area What to Check
    Brand Identity Logo, colors, tone, visual guidelines
    Claims No unsubstantiated promises
    Legal Risks Finance, health, gambling, betting, children
    Rights No third-party image, voice, product, or music
    Accuracy No fabricated facts
    Ethical Risks No deception, manipulation, or discrimination
    AI Disclosure Whether a label is needed and where it is placed

    If the brand is not ready to review materials, scaling AI production is risky. The more variants there are, the stricter the selection rules must be.

    Step 6. Disclosure and Metadata

    Disclosure is not just a “created by AI” label. It also includes an internal record: which tool created the material, when, based on which brief, who reviewed it, and which version was approved.

    A practical set of metadata:

    • brief number;
    • material version;
    • type of AI content;
    • generation tool;
    • creation date;
    • reviewer;
    • legal review status;
    • disclosure status;
    • placement platform;
    • test label.

    For the EU, it is important to consider the transparency rules of the AI Act: the European Commission states that generative AI content must be identifiable, and certain types of AI content, including deepfakes, must be clearly labeled.

    Step 7. Placement

    After approval, materials are sent for placement. It is important here not to lose the connection between the material and the results.

    Illustration 4

    Each variant must have:

    • a unique name;
    • a version number;
    • a clear label for the angle of approach;
    • a separate link or tracking tag;
  • binding to the audience and platform;
  • launch date.

    • Without this, it is impossible to understand which specific material worked. If 30 videos are called “final”, “final2”, and “new_final”, the report becomes useless.

    Step 8. Returning results to the next cycle

    The placement results are returned to production. This is not a report for the sake of a report, but raw material for the next wave.

    Metric What it means
    First-second retention How strong the opening is
    Views Whether there is enough volume
    Clicks Whether there is action
    Cost per action How cost-effective the material is
    Comments Whether there is irritation or trust
    Best formulations Which words are worth repeating
    Worst decisions What needs to be removed

    The best ideas go into the next brief, the weak ones are closed.

    Where everything breaks down

    Error Consequence
    Weak brief AI creates random materials
    No creative director Everything looks the same
    No claim verification Risk of legal claims
    No AI disclosure Risk of rule violations
    No labels Impossible to understand what worked
    Too many options without selection Team drowns in review
    Complete trust in AI Errors end up in publication

    <h2

  • Podcast Slicing into Short Videos

    Podcast Slicing into Short Videos

    How to turn a podcast episode into short videos: choose strong phrases, add subtitles, frame the shot, and hand off the clips to the team. Turning podcasts into short videos is about transforming a long episode into short vertical clips for TikTok, Reels, YouTube Shorts, and LinkedIn. Since a podcast relies on speech, the main focus is on strong phrases, controversial moments, subtitles, and clear delivery. Typically, from a 60-minute episode, you can get three to ten ready-made clips.

    Podcasters don’t have to do the clipping themselves. You can upload the episode to a platform, hand it off to editors, or use services that help find strong fragments. In the VibeVO model, the team can break down the episode themselves, create short clips, prepare them for publication, and work toward results — reach.

    How Podcast Clipping Differs from Stream Clipping

    A stream often has on-screen action: a win, a mistake, a reaction, gameplay, chat. In a podcast, the main action is the thought. Therefore, the clip must make the thought noticeable.

    For a podcast, the following are especially important:

    • a strong opening phrase;
    • large subtitles;
    • a clear topic;
    • the right framing of the hosts;
    • brief context;
    • no long pauses.

    Podcasts are increasingly being watched, not just listened to. Edison Research in The Infinite Dial 2025 reports that 48% of Americans aged 12+ have both listened to and watched a podcast, and YouTube has become the most commonly used service among weekly podcast listeners in the US.

    Which Moments to Choose

    Strong Phrase

    This is a thought that can be used as a headline. Example: “Most creators lose not because of ideas, but because of a lack of a system.”

    Disagreement

    If the host and guest disagree, it’s good material for a clip. Disagreement creates tension. Example: “I disagree. TikTok isn’t killing long formats — it’s bringing people to them.”

    Personal Story

    Stories work if they start quickly. Bad: “Well, it was a long time ago, I’ll try to remember now…” Good: “I realized our podcast wasn’t working when no one finished listening to the best episode.”

    Unexpected Opinion

    Clips hold attention well when a phrase breaks expectations. Example: “Not every podcast needs YouTube.”

    How to Design the Clip

    If there is video:

    • use a close-up shot of the speaker;
    • show the second host if their reaction is important;
    • switch the shot when the speaker changes;
    • don’t leave empty pauses;
    • add large subtitles.

    • If there is only audio:

    Illustration 1

    Even an audio podcast can be turned into short videos, but if regular promotion is planned, it is better to record the episode with a camera.

    How to Make a Strong Beginning

    Two types of beginnings work best for podcasts.

    Start with a quote. “The main mistake of beginner authors is that they wait for inspiration.” After that, you can provide context.

    Start with a question. “Why does one episode get 100 views, while another gets 100 thousand?” The main thing is to give an answer quickly. If a question is asked and the answer starts 30 seconds later, the viewer will leave.

    How to Work with Multiple Hosts

    If there are several people in the episode, the video should be clear. Rules:

    Нарезка подкастов в короткие видео — illustration 2
    Нарезка подкастов в короткие видео — illustration 2
    Illustration 2

    If it is a debate, you can show both. If it is a strong thought, a close-up of one person is better.

    Where to Publish Podcast Videos

    TikTok. Short, emotional, and controversial clips work best.

    Instagram Reels. Personal stories, expert phrases, and visually clean videos perform well.

    YouTube Shorts. Suitable for educational, conversational, and thematic clips. YouTube supports Shorts up to three minutes, but podcast videos are often better kept shorter.

    LinkedIn. Good for business podcasts: entrepreneurship, marketing, career, technology, media, management.

    Illustration 3

    Sensor Tower in the State of Mobile 2025 report states that users spent 4.2 trillion hours in apps over the year. This is another reason to format a podcast so that it works specifically in the mobile feed.

    How Many Videos Can Be Made from One Episode

    Episode Length How Many Moments Can Be Found How Many to Publish
    30 minutes 3–8 2–5
    60 minutes 5–18 3–10
    90 minutes 8–25 5–12
    2 hours 10–30 6–15

    This is an estimate based on internal VibeVO data. A strong episode with a guest can yield more videos. A calm conversation without bright phrases yields fewer.

    Important: Consent of Guests and Co-hosts

    Before publishing short videos, make sure the guest and co-hosts agree to the clips. Especially when it comes to personal stories, controversial topics, business, health, finances, or legal issues. You cannot cut a phrase in a way that changes the meaning of a person’s position.

    Frequently Asked Questions

    Can I cut an audio podcast without video?

    Yes. You can use a cover image, guest photo, sound wave, and large subtitles. But video with a camera usually gives more of a live feel.

    Illustration 4

    How many clips will I get from a 60-minute episode?

    Usually 3–10 good clips. There may be more candidates, but you should only publish those with a strong idea, debate, or story.

    Do I need to make different clips for different platforms?

    Yes. For TikTok, it’s better to be faster and more emotional. For LinkedIn, calmer and more thesis-driven. For Shorts, clearer on the topic. The same fragment can be adapted for different platforms.

    Conclusion

    Repurposing podcasts into short videos is not just a technical task, but a strategic tool for audience growth. Choose strong moments, format clips with the platform in mind, and always check participants’ consent. Start with one episode: find 3–5 standout fragments, adapt them for TikTok, Reels, and Shorts, and evaluate the result. Ready to try? Upload your podcast and make your first clip today!