The branded search cycle is the piece most small operators miss entirely. I work with independent hotels and destination marketers who are still measuring success by direct traffic from AI platforms. Meanwhile their property name is showing up unlinked in ChatGPT answers and they have no idea it's happening. The real signal is whether more people Google you after the AI conversation, not whether the AI sent a click. That reframe alone would change how most of my audience thinks about visibility.
The branded search cycle point is spot on. We ran audits across 150 B2B SaaS brands recently and found that 67% are completely invisible to at least one major LLM. The scary part: most of them had no idea because they were still measuring success with traditional SEO metrics.
The metrics gap is real. You can't just transplant keyword rankings and organic traffic into the AI visibility world. Citation rate, share of voice across models, sentiment accuracy -- these are fundamentally different signals that require different tooling.
Curious what you think about model-specific strategies. We're seeing brands that rank well in ChatGPT but get completely ignored by Claude or Gemini. Each model has different training data and retrieval preferences.
The branded search cycle is the piece most small operators miss entirely. I work with independent hotels and destination marketers who are still measuring success by direct traffic from AI platforms. Meanwhile their property name is showing up unlinked in ChatGPT answers and they have no idea it's happening. The real signal is whether more people Google you after the AI conversation, not whether the AI sent a click. That reframe alone would change how most of my audience thinks about visibility.
Yes! At least until LLMs learn to link brand mentions! (or let people perform actions without ever leaving)
The branded search cycle point is spot on. We ran audits across 150 B2B SaaS brands recently and found that 67% are completely invisible to at least one major LLM. The scary part: most of them had no idea because they were still measuring success with traditional SEO metrics.
The metrics gap is real. You can't just transplant keyword rankings and organic traffic into the AI visibility world. Citation rate, share of voice across models, sentiment accuracy -- these are fundamentally different signals that require different tooling.
Curious what you think about model-specific strategies. We're seeing brands that rank well in ChatGPT but get completely ignored by Claude or Gemini. Each model has different training data and retrieval preferences.