AI systems perform tasks once limited to human cognition, but major limitations persist, many of them systemic and high-risk. For example, facial recognition error rates can reach 35% for dark-skinned women (Buolamwini, 2019), while 97% of image classifiers fail under adversarial perturbation (Papernot et al., 2015). Large language models like GPT-4 hallucinate information, posing risks
Using ChatGPT to write ad copy can increase creative output by up to 10x, reduce writing time by 50–80%, and improve A/B test velocity with fast, consistent variations. This guide gives you 60 structured prompts to help you generate targeted, testable, and platform-ready ads faster without sacrificing quality.
Traditional SEO is no longer enough to ensure online visibility. Now, AI-driven interfaces determine which content and products users see. To stay competitive, websites must prioritize structured data, natural-language clarity, and consistency so that AI systems can interpret, trust, and surface their content in direct answers and recommendations.
AI doesn’t actually understand language. It predicts words based on patterns in training data not meaning. This leads to misinterpretation of even basic questions or instructions. These same limitations affect AI-powered search tools. To use them effectively, you must write explicitly, test for ambiguity, and verify outputs.
Melan is our science digital marketing hub leveraging artificial intelligence to transform how brands connect, engage, and impact audiences.
Sign up for our newsletter to get updated information, news and free insights.
