LLMOcheki substantially strengthens competitor and outcome analysis for AI search, with per-question win/loss judgement and GA4 primary conversion analysis

Itera, Inc. has strengthened the competitor analysis and outcome analysis features of LLMOcheki, its tool for measuring and improving LLMO. The aim of this release is to answer two questions in AI search work: what to do next, and whether it moved the business. All of it is available on every plan at no additional cost.

“Which questions am I losing on, and to which competitor?” and “did the traffic from AI turn into business results?” can now be judged on a single screen.

1. Per-question win/loss judgement — so you can set priorities

For each question (prompt), the single competitor with the highest appearance rate is identified automatically and compared directly against your own, producing a verdict of win, draw or loss. Because it is a relative assessment that does not depend on how many competitors you have registered, the standard does not drift; the list is ordered from the questions where you are weakest. Your own rank, the change from the previous period and the citation rate are all shown alongside, so you can decide which question to tackle first without hesitating.

2. Outcome analysis via a GA4 “primary conversion” — judged on business results, not exposure

Designate one of your GA4 key events as the “primary conversion” and every metric in the AI traffic analysis aligns to that business outcome. Cross-analysis of landing page against AI service, and a breakdown of the key events generated via AI, are both supported. You can judge on “did AI search produce results?” rather than “did traffic from AI search increase?”.

3. AI service traffic identification extended past 20 services

In addition to ChatGPT, Gemini, Claude, Perplexity and Copilot, traffic arriving via more than 20 AI services — Grok, DeepSeek, Felo, Genspark and NotebookLM among them — is identified service by service.

4. Strict entity matching — preventing overcounting for brands whose name is an ordinary word

For brands whose company or service name is identical to an ordinary noun, an option has been added that judges from the context of the answer whether a mention is specific to the brand, preventing the overcounting that simple string matching produces. To preserve continuity in the measured values, it is offered on an opt-in basis for customers to enable at their discretion.

Editor improvements shipped alongside

In the AI article creation feature, heading colours can now be specified freely by colour code with a history of previous choices, numbered headings are numbered automatically, and the article list supports status management (in progress / approved / published).

About LLMOcheki

LLMOcheki is a SaaS product that continuously measures how a brand appears and is cited in AI search across eight engines: ChatGPT, Gemini, Perplexity, Claude, Google AI Overview, AI Mode, SearchGPT and Copilot. Its “n-shot statistical measurement” runs the same question multiple times and expresses appearance as a probability with a 95% confidence interval, making the highly variable output of AI answers visible in a statistically dependable form. It covers measurement, competitor comparison, and content generation and improvement informed by the analysis — all in one place.

LLMOcheki https://llmocheki.com/