Measuring AI visibility, honestly.
A single figure from a single run is a snapshot, not a measurement. These guides cover how to measure it so the number holds up: share of voice with a range, citation decay over time, AI referral traffic, and how to tell whether a change actually worked. Our own method is in how Stellarcast measures AI visibility.
Microsoft Copilot cited our blog 4,000+ times in 90 days. Here is what it cited, and what it did not send.
A three-month-old site, 4,000+ Microsoft Copilot citations, and almost no clicks. What Copilot cited, what those pages share, and how to measure it.
How to measure your brand's share of voice in ChatGPT, AI Overviews and other AI engines
AI share of voice is a sampled, directional index, not a market share. Here is the prompt-panel method to measure whether AI engines name you against competitors, and what it can and cannot tell you.
AI and LLM citation decay: what it is, how to measure it, and how to keep your citations
AI citations aren't permanent. What AI citation decay is, how fast citations turn over, and how to hold your place.
How Stellarcast measures AI visibility
Our methodology in the open: six engines read daily, every result per locale, ranges instead of single numbers, and citations classified as owned, earned or rival. If you'll trust our numbers, see how they're made.
The AI search visibility audit: a self-serve checklist before you buy a tool
A scored, do-it-yourself AI search visibility audit: crawler access, multi-platform prompt testing, citation analysis, content structure, and schema. Run it before you buy a tool.
How to track ChatGPT and AI traffic in GA4
Start with GA4's built-in AI Assistant channel, add a custom AI channel with the regex included, and see why some AI clicks can land in 'Direct'. Plus where Bing Webmaster Tools shows AI citations.
ChatGPT sends 92% of AI search traffic - what 6.77 million sessions reveal
Previsible analyzed 6.77M sessions: ChatGPT drives 92% of standalone-LLM referral traffic. What the July 2026 data means, and the big caveat about AI Overviews.
Google AI Overviews cut clicks 40% - and the lost clicks weren't lower quality
A randomized field experiment found AI Overviews cut organic clicks 39.8%, and the clicks lost were just as valuable as the ones kept.
68% of Google searches now end without a click
SparkToro's 2026 analysis: 68% of Google searches ended with no click, and only 0.34% went to AI Mode. Why the click is disappearing - and what replaces it.
Claude just passed Perplexity in AI referral traffic
Similarweb May 2026: ChatGPT 52.7%, Gemini 27.3%, Claude 8.9%, Perplexity 1.3%. Why the leaderboard reshuffled - and why the studies disagree.
126 million prompts later: the mention-vs-citation gap in AI search
Semrush analyzed 126M AI-search prompts: being mentioned and being cited overlap by as little as 30%, and most teams can't measure either. What to do about it.
Other topics: Comparisons · Getting cited · How AI engines work · Industries · Markets. Or see every post.