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.
Brand in AI Blog
On the BrandInAI blog, we cover topics related to brand visibility in the world of artificial intelligence and AI-generated answers produced by large language models. We analyze trends, data, and real-world examples to show how AI is reshaping branding, content, and communication strategies. All of this is designed to help brands consciously build their presence in the AI-first era.
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.
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.
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.
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.
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.