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.

[3 most expensive footer mistakes on B2B sites that make language models ignore your product](/content/blog/b2b-footer-mistakes-llm "3 most expensive footer mistakes on B2B sites that make language models ignore your product"/index.html)

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.

[Ads in LLMs: Are paid recommendations in AI the future?](/content/blog/ads-in-llms-paid-recommendations "Ads in LLMs: Are paid recommendations in AI the future?"/index.html)

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.

[How to combine SEO and GEO: Expanding existing processes without doubling the work](/content/blog/combine-seo-geo "How to combine SEO and GEO: Expanding existing processes without doubling the work"/index.html)

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.

[Video transcriptions as a GEO hack: make AI models cite your webinars](/content/blog/webinar-transcriptions-geo "Video transcriptions as a GEO hack: make AI models cite your webinars"/index.html)

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.

[Using AI assistant signals in B2B purchase funnel monitoring](/content/blog/ai-signals-b2b-funnel "Using AI assistant signals in B2B purchase funnel monitoring"/index.html)

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.

[From LLM to SLM: Will brands need to optimize visibility for local models?](/content/blog/local-models-ai-visibility "From LLM to SLM: Will brands need to optimize visibility for local models?"/index.html)

Local models (SLM) move AI processing onto users' devices, reducing telemetry and the impact of traditional marketing. The article explains Share of Model Voice, visibility estimation methods (simulations, opt-in, partnerships), and when it's worth investing.