Is this public measurement methodology a certification or rating?
No. It explains measurement conditions, scope, and limitations; it is not a certification, rating, or recommendation guarantee.
Public measurement methodology
This public measurement methodology explains how GrayRhino AI presents fixed questions, explicit sources, same-condition evidence, failures, and retest limitations across public pages, product reports, and customer communication.
This page states the public measurement rules, scope, and limitations. It is not a certification, rating, or guarantee.
These rules constrain public wording and report interpretation. They define how evidence is created, how comparisons are made, and which conclusions must not be overstated.
01
Each measurement should show the actual questions, model/API surface, measurement source, and time instead of selecting questions after the fact.
02
Brand mentions, competitor mentions, and citation judgments should use the same rules for every entity.
03
Reports should retain question-level answers, citations, missing states, failures, and unavailable states instead of presenting failures as success.
04
When the question set, measurement-source version, model, or API surface changes, the report should state that the data is not directly continuous instead of stitching it into a false trend.
05
Original answers and citations are facts; findings are analysis; Actions are follow-up work. The three layers should remain distinguishable.
06
When no completed answer exists, or the evidence cannot be linked to a specific question, measurement source, and answer, the system does not generate Actions or advice. A completed answer with no displayable citations is treated only as a checkable “missing verifiable sources” fact and links back to that answer.
07
Retests should describe observed before/after changes under the same method, not claim that an Action necessarily caused an AI answer to change.
08
Payment status, plan tier, or customer relationship should not change Provider results, mention judgments, or evidence presentation.
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Review current API measurement sources and consumer-side boundaries.
No. It explains measurement conditions, scope, and limitations; it is not a certification, rating, or recommendation guarantee.
Fixed questions and explicit measurement sources reduce methodology drift, so brand, competitor, citation, and missing-evidence changes can be reviewed under the same method.
No. Retests only describe observed changes under the same method; they do not claim that an Action necessarily caused an AI answer to change.
No. Plans and customer relationships do not change measurement results, mention judgments, or evidence presentation.