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.
Analysis shows that AI search compresses the classic Top 10 down to one or two recommendations, undermining the value of the long tail in SEO. Discover GEO, the Share of Recommendations metric, and practical steps to increase brand visibility in generative answers.
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.
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.
An overview of ads in LLMs and paid recommendations in AI: what formats will emerge, how they will affect brand visibility, transparency and measuring effectiveness, and how to prepare your strategy.
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.