Category
AI & Search Engines
AI systems increasingly answer the question that used to be a search query. This category collects the pieces on how those answers are formed: which sources a model consults, what it already assumed about your brand before it looked anything up, and why being present is not the same as being recommended.
Articles in this category
What an AI sees when it reads your page — and what I found when I audited my own site
I put my own site through an AI audit: 63 out of 100, three fundamental gaps and one lesson no validator catches. What an AI really sees when it reads your page.
Your citations are collapsing. Your visibility isn't.
Since May 2026, AI models have been showing fewer sources while brand presence in their answers holds steady. Why citation trends should never be read without mentions.
Everyone looks at citation. Nobody looks at bias.
AI visibility is measured in citations. But before the model consults your source, it already has an opinion about you. On the two mechanisms behind every AI answer.
Why AI visibility is a different game for financial brands
Almost half of all AI answers about financial products contain no brand name. Not because the brand is unknown — but because it loses its attribution. Here's why.
From keyword to entity: how GEO is rewriting the rules of SEO
AI answers show no ranking — they show a selection of knowledge. Discover how Generative Engine Optimisation (GEO) is rewriting the logic of SEO and why entities, structured data and topical authority are the new keys to visibility in AI.
How visible are you in AI? The rise of LLM Visibility as a new marketing metric
AI models are shaping buying decisions before people even open Google. LLM Visibility measures whether your brand shows up in those answers — and why that matters now.