How AI engines decide which brands to recommend. What the signals are. What's changing. What CMOs should do about it. Not a newsletter, not content marketing. Writing we want to be read.
Google says a new wave of AI users is changing how people search. They're right. But the part they left out is the part that matters most to your brand. Search itself is being unbundled.
Read the piece →It's not random. It's not based on ad spend. There are specific, measurable signals that determine whether ChatGPT, Claude, Gemini, or Perplexity puts your brand on the shortlist. Citations, schema, brand consistency, use-case clarity, and remediation content all play a role.
Read the piece →AI engines don't crawl and rank. They synthesize and recommend. Your SEO playbook isn't transferable. Here's why the tactics that win in search fail in AI recommendations, and the new playbook that actually moves the needle.
Read the piece →Recommendation Share (RS%) measures how often AI engines pick your brand over competitors when a buyer asks a category question. It's the metric replacing search rankings as the thing that matters. Here's what it is, how it's measured, and why it matters now.
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There's a score most CMOs don't know their brand has. It measures how often the four biggest AI engines pick your brand over your competitors when a buyer asks a category-defining question. Here's what it is, why it matters, and how to move it.
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