Be Visible

Ido Navarro and Ben Cohen break down findings from an Ahrefs study of 66.6 million ChatGPT responses to explain how AI search models find, quote, and compare brands.

They explore the split between official brand citations and third-party sources, covering practical infrastructure like clean markdown, schema, and llms.txt.

Hosts Ido and Ben break down Generative Engine Optimization into two distinct challenges: factual retrieval on brand sites and third-party comparisons. They explore how AI search engines pull information, the role of clean markdown and schema, and how to prepare websites for autonomous agents.

Ido Navarro and Ben Cohen explore how AI search, generative engines, and autonomous agents are reshaping online visibility beyond traditional blue links. They break down recent research on AI citations and fan-out queries while sharing practical strategies for clean markdown, schema, and machine-readable content.

Hosts Ido Navarro and Ben Cohen break down Generative Engine Optimization (GEO) and what it means to build websites for AI search systems, crawlers, and autonomous agents.

They explore practical site infrastructure—including clean markdown delivery, schema, and emerging conventions like llms.txt—along with key steps to ensure machines can discover, understand, and interact with your brand.

Ido Navarro and Ben Cohen explore the technical infrastructure of AI visibility, breaking down how models crawl raw HTML, the role of clean markdown and llms.txt, and why sites must be built for both search engines and autonomous agents.

Ben Cohen and Ido Navarro break down how AI search and generative answer engines are reshaping online brand visibility, contrasting traditional SEO with Generative Engine Optimization (GEO). They explore the importance of entity clarity, third-party validation, and structuring extractable content that models can accurately summarize and recommend.

Hosts Ido Navarro and Ben Cohen explore how generative search and autonomous agents are reshaping web visibility beyond traditional SEO blue links. They break down practical Generative Engine Optimization, the role of llms.txt files, clean markdown, and how to build websites ready for machines to read and act on.

Ben and Ido explore how AI Overviews and answer engines reshape brand visibility, looking at data on citations, brand mentions, and website clarity. They break down practical audit steps, examine the real evidence behind llms.txt, and discuss how to prepare your site for AI discovery.

Hosts Ido Navarro and Ben Cohen break down how generative search engines synthesize information, why official brand websites and third-party mentions matter for AI discovery, and how new research sheds light on AI fan-out queries.

Ido Navarro and Ben Cohen explore how AI search is changing online visibility—from being found in search results to being understood, trusted, cited, and recommended by AI systems. They unpack SEO versus GEO, clean markdown, schema, llms.txt, and the shift from crawlers that read websites to agents that may act on them, then share practical steps for checking whether AI gets your brand right.

They also separate useful practices from emerging ideas, discuss common GEO mistakes, and offer a grounded look at what may come next. Start with one small test: ask several AI systems the same important customer question and compare their answers.