The Wild West of web scraping is changing, due in large part to OpenAI\u2019s deal with Disney. The deal allows OpenAI to train on high-fidelity, human-verified cinematic content \u2013 intended to combat AI slop fatigue.\u00a0<\/p> This deal opens up new opportunities to reinforce your brand\u2019s visibility and recall. AI models are hungry for high-quality data, and this shift turns video into an essential asset for your brand. <\/p> Here\u2019s a breakdown of why video is the new source of truth for AI and how you can use it to protect your brand\u2019s identity.<\/p> When a large language model\u2019s training set lacks data on a specific brand, the LLM doesn\u2019t admit that it doesn\u2019t know. Instead, it interpolates, filling the gaps in your brand\u2019s story. It makes guesses about your brand identity based on patterns from similar brands or general industry information.\u00a0<\/p> This interpolation can lead to brand drift. Here\u2019s what it looks like when an AI model narrates an inaccurate version of your business.<\/p> Say you represent a SaaS company. A user asks ChatGPT about one of your product\u2019s features. But the model doesn\u2019t have information about that specific feature.<\/p> So, the model constructs elaborate setup instructions, pricing tiers, and integration requirements for the phantom feature. <\/p> This has surfaced for companies like Streamer.bot, where users regularly arrive with confidently wrong instructions generated by ChatGPT \u2013 forcing teams to correct misinformation that the product never published.\u00a0<\/p> AI brand drift happens to local businesses, too. As one restaurant owner told Futurism, Google AI Overviews repeatedly shared false information about both specials and menu items.<\/p> To correct brand drift and prevent AI from distorting your brand message, your company must provide a canonical source of truth.<\/p> Your customers search everywhere. Make sure your brand shows up<\/span>. <\/p> The SEO toolkit you know, plus the AI visibility data you need. <\/p> <\/p><\/div> Start Free Trial<\/span> <\/p> Get started with<\/p> By producing authoritative videos (e.g., a demo that explicitly clarifies pricing), you provide strong semantic information through the transcript and visual proof. The video becomes the canonical source of truth that makes things clear, overriding opinions from Reddit and other sources.<\/p> In contrast, a text file contains low entropy. A statement like \u201c50% off\u201d is identical whether it was written in 2015 or 2025. Text often lacks the timestamp of reality, making it easy for AI to manipulate or lose the context of the real world.<\/p> To fix this, you need a medium with more data packed into every second. A five-minute video at 60 frames per second contains 18,000 frames of visual evidence, a nuanced audio track, and a text transcript.<\/p> Video enables LLMs to capture non-verbal, high-fidelity cues, creating a validation layer that preserves the visual evidence often flattened or lost in written content.<\/p> Creative studios like Berlin-based Impolite specialize in high-production-value video that provides the chaotic, non-repetitive entropy that AI needs to verify. The studio\u2019s work for global brands serves as the high-density data source that prevents brand drift.<\/p> For example, Karman\u2019s \u201cThe Space That Makes Us Human\u201d project is a masterclass in creating a canonical source of truth, using high-fidelity, expert-led video to anchor brand identity.<\/p> How AI brand drift happens<\/h2>
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<\/div> <\/p><\/div> <\/p> Video as a source of truth<\/h2>