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Guides & Best Practices

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

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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 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 17, 2026 Guides & Best Practices PR in the AI era: How to manage a crisis when LLM models become the ultimate judge of your brand A guide to reputation management in the generative AI era. Explains how GEO, RAG, and provenance affect brand narrative and offers practical steps: source correction, knowledge base synchronisation, reranking, and experimental KPIs for PR, Legal, and ML teams. Sławomir Duda Read the article →

Jun 14, 2026 Guides & Best Practices Entities in the LLM era: Definition, role in GEO and building a conceptual structure A guide to entities in the LLM era: what entities are, why traditional SEO weakens in AI assistants and how to build a coherent, canonicalized brand profile through name control, semantic context and zero-shot testing to increase visibility in language models. Damian Maślanka Read the article →

May 27, 2026 Guides & Best Practices How to optimize PDF files so LLMs can process them A short guide to PDF optimization for language models: why scans and images block extraction, how to use tagged PDF, XMP metadata, Word/Markdown styles, and attach CSV/JSON and plain text to improve indexing and AI response accuracy. Damian Maślanka Read the article →

May 20, 2026 Guides & Best Practices How to check if ChatGPT knows your brand? First steps for marketers Learn how to run a free brand audit in ChatGPT on your own. Step by step: test preparation, sample prompts, sentiment analysis, hallucination detection, and a remediation plan for your marketing team. Simon Stanisz Read the article →

May 15, 2026 Guides & Best Practices How to optimize your 'About us' page so AI models accurately understand your company's uniqueness A guide showing how to transform your 'About us' page from a corporate essay into a machine-readable source of signals: canonical phrases, attribute-value pairs, entity lists, FAQ and Schema.org, so AI models can precisely identify your company's specialization, segment and reach. Damian Maślanka Read the article →

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