
What happened
Itera began offering AI referral conversion measurement on 2026年11月3日, letting a single LLMO Tag track traffic and conversions from ChatGPT, Perplexity, Gemini, Copilot and Claude by engine and by question.
Why it matters
Marketers can now show whether AI citations actually produced inquiries, phone taps, emails or form submissions—something standard analytics could not separate out, though question-level figures are apportioned estimates.
WHO IT HITSMarketing and web analytics teams at companies investing in AI search visibility get a way to tie AI citations to inquiries, with question-level figures presented as estimates rather than proof.
Summaries like this, every morning.
Itera's new feature addresses a gap it describes in its own background section: AI search exposure was growing, but conventional access analytics could not isolate whether visits from AI engines turned into inquiries. By extending its LLMO Tag, Itera says it can show that connection engine by engine, and also estimate which question led to a visit and a conversion.
The company is explicit that parts of the picture are estimates. Question-level results are apportioned, and the numbers are described as reference values for the range that can be captured. Google AI Overview and AI Mode traffic cannot be distinguished by referrer information and is therefore outside the scope of the feature.
The tool is designed without cookies, does not collect or store raw IP addresses or user agents, and respects browsers' Do Not Track setting. Itera's representative director, Takayuki Muto, said companies can already report that they were cited by AI, but what the business side wants to know is what happened after that—whether people actually came and inquired. The feature is available on all plans at no additional cost.
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