AI-powered creatives have become the standard in iGaming faster than anyone could blink. Yesterday, we were paying production companies thousands of dollars for a single video; today, we generate dozens of variations in five minutes. It's no longer a "gimmick" or an "innovation"—it's the basic infrastructure of performance. But with this widespread adoption comes another reality: AI-powered videos don't always deliver results. Many teams believe that writing a strong prompt is enough for the creative to "work" on its own. Mike Wiseman reveals a much harsher truth: a strong prompt is only 50% of success. The other 50% is in the details. And that's where things get interesting. The prompt can be perfect: the style is cinematic, the lighting is dramatic, the emotions are vivid, the offer is powerful. But the video can still fail. Why? All seven mistakes we'll...

A few years ago, choosing creative was like a game of chance. Marketers intuitively bet on “favorite” images, team chats exploded with arguments, and budgets burned through tests faster than coffee in a thermos. Today, everything is different. In place of emotions and “eyes,” algorithms have come, cold, systematic, and unbiased. They see what we miss: the pace of editing, the model’s angle of view, an overly bright background, or colors that don’t inspire trust. AI is no longer just an “assistant,” but a tool that decides the fate of an advertising campaign before it even starts. But do all algorithms really work? And which ones help find the very “golden” creative that flies off the first test? How did AI learn to “see” creativity? What used to be called “creative’s sense” has today turned into a set of measurable...

AI video no longer looks like a technological miracle. It is a daily routine. While in 2023 we were still enthusiastically testing how the neural network "guesses" the camera and light, in 2025 Pika turned it into a conveyor belt. Short videos are no longer made by video makers, but by prompt engineers. And the speed at which new formats appear resembles a content factory rather than a creative studio. Pika 2.2 is now like ChatGPT in the video world: stable, accurate, already able to keep style and movement, picks up text scripts, and works directly with Discord or API. But there's a caveat: most users are still drowning in updates, unnecessary parameters, and hours of YouTube tutorials that "show everything but the point." What's new in Pika 2.2 and why is it worth paying attention to? Version Pika 2.2...

Creatives burn out faster than you can update the tracker, traffic becomes more expensive, and landing pages look exactly the same, only with different fonts and buttons. In such a situation, even the juiciest offer may not "work": the page simply does not hold attention, does not pass moderation, or crashes after a few days of display. This is where AI-SEO comes into play - not as another hype, but as a survival tool. Neural networks help arbitrageurs optimize landing pages faster than any freelancer: they analyze competitors, select keys for GEO, create texts with 100% uniqueness, and even test different page structures. AI sees what we often ignore - behavioral signals, content relevance and even emotional tone of the CTA. So forget the old idea of SEO as a "long game". Today AI-SEO is not about search traffic, but...

Just imagine: you commission ChatGPT to write a post for Instagram. And instead of a lively and recognizable "brand voice," you get a dry message like "Dear users, in today's digital marketing world...". The text seems to be correct, but it is colorless, devoid of emotion and intonation that keep the audience's attention. This is the main risk of working with neural networks in SMM: they are great at generating words, but they don't understand how to sound like a brand. As a result, your posts turn into a generic corporate template that gets unsubscribed from faster than emails with banal greetings. How to teach AI to speak your language: to convey your brand's character, emotional tone, and unique style. We will show you how to create a simple Tone of Voice guide, how to formulate queries to neural networks...

Back in 2023, AI texts seemed like an experiment: "look, a machine wrote an article". In 2024, they were already starting to push human copywriters in SEO and advertising. And in 2025, artificial intelligence became a full-fledged player in the content market - from memes to corporate strategies. The market has changed radically: the speed of text production has increased significantly, budgets have been redistributed, and the requirements for human authors have become different. AI copywriting is no longer a "gimmick for tests" but a daily tool for marketers, agencies, and businesses. At the same time, a new question has arisen: is it really important to be able to distinguish between human and machine-written text today? Does the user not care if the text is catchy and sells? And most importantly, aren't we trying to solve a problem that has...

Buyers, creatives, and content specialists sing love songs to ChatGPT. Today, artificial intelligence saves time, helps to find fresh ideas and test advertising hypotheses, but it is important to know how to set tasks for it to make this love 100% justified. In this guide, you will learn how to write effective prompts to get useful insights and cool results. What ChatGPT can do for creatives and offers Artificial intelligence is able to quickly analyze advertising creatives, generate new ideas, and create convincing offers for your target audience. For example, if your old creatives have stopped working, a clear promo to ChatGPT can help you look at the product in a new way and find another "key" to the audience. Mini-case study: Imagine that your CTR for banners advertising a detox tea has dropped. You enter: "Evaluate this banner and...

Let's be honest: if in 2025 you're still manually writing Telegram posts, reformatting offers for pre-launch, and making reports in Google Sheets from scratch, you're not a hero, you're just overworked. We at Leadpanda have seen dozens of cases where smart, experienced arbitrageurs and marketers burn out not because of the market, but because of the routine burn out. Because every morning they start with "rewrite this headline in three versions" and "make a report for the partner, but make it beautiful". And so on every day. And then - bam - someone shows you how to do the same task in 30 seconds in ChatGPT. Without water, with instructions, with examples, with the tone of voice you ask for. Simply because they know how to set the right prompt. In this article we have collected: the most effective GPT...

"Hello, friends! Today I'll tell you how I lost 14 kg thanks to this incredible product..." -if you have read this far and haven't closed the tab, then you either have iron endurance or nostalgia for 2020. The fact is that in 2025, such reviews do not work. Classic UGC - with a smile for the camera, good lighting, and a "nice girl from Instagram" - has turned into white noise. There's so much of it that it's simply no longer credible. Moreover, it has become frightening. Instead, I started working with voices in the morning, slightly hoarse, sounding like "listen, I don't know if this will work for you, but I really tried." Stories where the heroine says: "I was scared - I thought it was a scam. But then..." And then there are screenshots of the screen, recorded...