Practical guides, proven strategies, and expert recommendations for building stronger brand visibility in AI. From step-by-step tutorials and implementation methods to real-world insights and optimization techniques, this section focuses on approaches that deliver measurable results in practice.
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.
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.
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.
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.
A complete guide to E-E-A-T: learn how to build experience, expertise, authority, and trustworthiness for your brand - qualities that improve SEO rankings and increase your chances of being cited by generative AI tools. Includes practical steps and measurable metrics.