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.
An analysis of three common B2B website footer mistakes that cause language models to miscategorize your product. Includes practical copy fixes, example phrasings, and a repeatable probe prompt protocol and pilot plan to restore product visibility in AI recommendations.
A practical approach to combining SEO with generative engine optimization (GEO). Shows how to introduce changes in audits, headings, Schema.org and editorial processes to increase citations in AI Search, while avoiding the creation of a separate team and duplication of content.
A practical guide on how to turn webinars and podcasts into citable sources for AI models. You'll learn how to clean transcriptions, add metadata, timestamps, speaker labels, and split text into chunks.
An analysis of how signals from AI assistants (e.g. ChatGPT, Gemini) fill the visibility gap in the B2B purchase funnel. A description of practical methods: mention normalisation, tagging, event schema versioning, conservative lead scoring, and holdout experiments for impact verification.
A practical GEO checklist in five steps: define intent, complete metadata, verify facts, optimize format, and set KPI measurement. A short guide for beginner content managers to improve visibility in AI-based results.
Practical tips for quick GEO optimizations: organizing NAP, simplifying product descriptions, implementing JSON-LD and LLMs.txt, and fixing technical settings. Priority changes that reduce errors in generative responses and improve brand visibility.