Four popular myths about AI optimization (GEO) and practical tips: why paid campaigns or one-off tricks are not enough and how to build credible brand visibility through external sources.
AI & Branding Trends
The latest insights on how artificial intelligence is transforming the world of brands. We analyze trends in LLMs, generative AI, and conversational assistants, showcasing their impact on brand visibility and recognition. This section highlights the direction in which the market is heading and provides inspiration for leveraging AI in branding.
How malicious publications and content farms can falsify AI model knowledge and damage a company's reputation. This guide explains data poisoning mechanisms, risk areas, and practical tests and defensive strategies for immediate implementation.
What AI crawlers are, their main types and how the indexing pipeline works: chunking, tokenisation and vectorisation. We also explain control tools (robots.txt, LLMs.txt, metadata) and practical steps to protect your brand from misattribution.
What is LLM model temperature and how does it affect AI creativity and brand consistency in generated content. Learn when to set a low vs. high temperature and how it influences company name usage and control over marketing communication.
What a large language model (LLM) is, how it works (tokens, attention, parameters), and how a marketer can use LLMs for personalisation, automation, sentiment analysis, customer service scaling, and marketing activities.
We explain what the context window of language models is and why key information can disappear from AI assistant responses. We cover tokens, the sliding window effect, and practical techniques that help maintain coherent context.