
Articles by Michał Grzebyk
AI crawlers are not one thing: how to make better decisions about your content
AI crawlers do more than one job. Learn how to distinguish search, training and agents, then use brand-representation data to make better access decisions.
Facts instead of self-presentation. How to describe a brand before researching LLM responses? | 3
Part three of a three-part Semantio series on preparing reliable AI visibility research. Learn how to define decision personas, connect them with relevant products and identify genuine competitors.
Facts instead of self-presentation. How to describe a brand before researching LLM responses? | 2
Part two of a three-part Semantio series on preparing reliable AI visibility research. Learn how to describe a brand’s offer factually and organise products, services and solutions around real decision situations.
Facts instead of self-presentation. How to describe a brand before researching LLM responses? | 1
Part one of a three-part Semantio series on preparing reliable AI visibility research. Before testing what LLMs say about your brand, define the entity, market, scope and facts that the research is meant to assess.
Mention vs recommendation in AI responses
A brand mention is not always a recommendation. Learn how to distinguish these AI response events, measure them consistently and interpret them in context.
What Is a Brand Hallucination in AI Responses?
AI systems can generate convincing but false claims about brands. Learn how to distinguish hallucinations from outdated information, omissions and other brand representation issues.
What is LLM brand monitoring?
LLM brand monitoring reveals how ChatGPT, Gemini, Claude and other AI systems mention, recommend and represent your brand over time. Learn what to measure, how to distinguish real trends from response variability and how Semantio turns AI brand visibility into actionable evidence.
What is AI brand visibility?
AI brand visibility is more than appearing in a chatbot answer. Learn how to measure prompted and spontaneous mentions across systems, distinguish visibility from recommendation and interpret the results without turning a research sample into a universal score.
What is brand representation in large language models?
A brand may be visible in an AI-generated answer and still be represented inaccurately. This guide explains how LLMs identify, describe, compare and recommend brands – and how to investigate the sources, omissions and errors behind those answers.
GenAI Silences the Megaphone: The Era of Conversational Advertising Begins
GenAI is transforming the nature of advertising. It's shifting from a more intrusive form into a conversational experience, where the conversation itself becomes an advertising signal.