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AI visibility and GEO, explained

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

Oct 16, 2026 Product News & Updates See exactly how your brand compares to competitors in AI Understand how your brand stacks up in AI-generated answers using BrandInAI's competitor benchmarking. Compare Visibility Scores, mentions and prompt-level results, inspect actual AI responses, and identify where competitors outperform you so you can prioritize content and SEO actions. Olga Nadaszkiewicz Read the article →

Oct 15, 2026 Product News & Updates Stop guessing which AI prompts matter: find and test them with BrandInAI Learn how BrandInAI helps teams generate, refine and test AI prompts so you can check brand and competitor visibility across models, preview token costs, and add only the most relevant queries to a focused monitoring set that aligns with business goals. Olga Nadaszkiewicz Read the article →

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 29, 2026 Guides & Best Practices Digital Alzheimer's in LLMs: Why established brands vanish from assistants' memory overnight LLM digital Alzheimer's is a metaphor for situations where an established brand does not appear in AI assistant answers. It covers the differences between recognizing a company, describing it correctly and recommending it, possible reasons for omissions, and ways to measure changes without confusing them with market position. Damian Maślanka Read the article →

Jul 22, 2026 Guides & Best Practices Prompt decomposition: how models break down complex queries Prompt decomposition in LLM-based search shows how a complex query can lead to separate sub-queries. It covers combining findings, evaluating sources, and the difference between matching a single feature and recommending an entire offering, taking into account the limits of inferring brand visibility. Rafał Krawczyk 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 →

Jul 12, 2026 Guides & Best Practices How heading structure helps AI bots understand the meaning of text How heading structure affects the way AI bots map and extract information. The text explains the role of H1/H2/H3, common mistakes, and a simple heading skeleton for planning headings that increases the chances of accurate citation by generative systems. Damian Maślanka Read the article →

Jul 7, 2026 Guides & Best Practices Vector database: A knowledge compendium on AI assistant memory This compendium explains what a vector database is and how it serves as the memory of AI assistants. It covers embeddings, indexing methods (HNSW, IVF+PQ), chunking, metadata filters, and update and versioning strategies that determine the quality of system responses. Rafał Krawczyk 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 →

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