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AI visibility.
Original research and notes on how AI talks about brands, and how to shape the conversation.
Inside Claude Code: What Leaked Source Code Reveals About AI Search Visibility
Anthropic accidentally exposed Claude Code’s source through an npm source map. We went through 512,000 lines and found a domain whitelist, stricter quoting rules for most sites, mandatory citations, and a hidden blocklist. Here’s what that suggests about AI visibility.
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Why AI Picks Winners: The Research Behind LLM Brand Bias
A growing body of academic research shows that AI recommendations aren’t neutral. They’re systematic, measurable, and surprisingly predictable. Here’s what the science says.
Different Models, Different Favorites
ChatGPT, Gemini, and Claude don’t recommend the same brands. Academic studies across 567K+ samples show systematic model-level preferences, and alignment training makes it worse.
How to Get Recommended: What the Research Actually Says
Princeton researchers found content optimization can boost LLM visibility by 30-40%. Social proof helps. Scarcity signals hurt. Here are the tactics with evidence behind them.
The Fragility Problem: Why AI Visibility Is Unstable
Paraphrasing a prompt can shift brand recommendations by 100%. Cold start biases lock in early favorites. Research shows AI visibility is far more fragile than search rankings ever were.
Answer Bubbles: What Happens When AI Search Engines Disagree
A new study of 11,000 queries reveals that Search GPT and Google AI Overviews draw from fundamentally different sources, flatten uncertainty, and create invisible “information realities” that vary by platform. The implications for brand visibility are significant.
ChatGPT Ads: Why the SEO/SEM Parallel Is Misleading
OpenAI is testing ads in ChatGPT. Everyone’s comparing it to Google’s evolution from organic to paid. They’re mostly wrong, and the real opportunity is something different.
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