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AI & Branding Trends

We write about brand visibility in the world of language models. Analyses, trends, practical guides and product news.

All AI & Branding Trends Insights & Reports Guides & Best Practices Product News & Updates

Aug 1, 2026 AI & Branding Trends Ethics as a mathematical filter: When an assistant rejects a brand over hidden social costs An ethical filter in AI assistants could decide which products make it into recommendations and which get left out. The mechanism would depend on the precision of the user's rules, the quality of available information and how uncertainty is handled. In all of this, transparent justifications and the ability to control the adopted rules matter. Szymon Kania Read the article →

Jul 17, 2026 AI & Branding Trends The fall of 'above the fold': How AI assistants replaced the homepage first impression A discussion of how AI assistants are changing the first point of brand contact - from replacing 'above the fold' with LLM syntheses to the effects on SEO and social proof. Includes recommendations: canonical endpoints, structured metadata, and fidelity metrics to protect brand identity. Damian Maślanka Read the article →

Jun 29, 2026 AI & Branding Trends The biggest myths about AI optimization (GEO) that beginner marketers believe 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. Damian Maślanka Read the article →

Jun 26, 2026 AI & Branding Trends AI source poisoning: How unethical competition can distort a model's knowledge about your business 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. Damian Maślanka Read the article →

Jun 20, 2026 AI & Branding Trends AI crawlers (AI bots): Definition, types and technical principles of indexing by language models 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. Rafał Krawczyk Read the article →

Jun 10, 2026 AI & Branding Trends LLM model temperature: What AI creativity means and how it affects marketing activities 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. Sławomir Duda Read the article →

Jun 5, 2026 AI & Branding Trends What is a large language model (LLM) and how can it be used in marketing 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. Sławomir Duda Read the article →

May 30, 2026 AI & Branding Trends Context window: what it is and its role in AI assistants 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. Rafał Krawczyk Read the article →

May 23, 2026 AI & Branding Trends Brand digital twins: The future of simulation in GEO An overview of the brand digital twin concept: local AI simulations that enable message testing before publication. The text covers applications in GEO, rapid A/B testing, crisis simulations, calibration challenges, and organisational steps toward a pilot. Rafał Krawczyk Read the article →

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