1. Source state
What public content and crawlable evidence existed at the time?
Visibility Evidence records the exact buyer prompt, whether an organisation appeared, what alternatives appeared instead, which URLs were cited, and whether the same result reproduces across repeated observations.
What public content and crawlable evidence existed at the time?
What claims and description did evaluated models extract?
For a fixed buyer prompt, was the target included or omitted and who appeared instead?
Which owned, competitor, directory, media or third-party sources shaped the answer?
SemanticRisk ran that exact category-discovery prompt twice on the OpenAI Responses API web-search surface. SemanticRisk was not surfaced in either independent repetition.
The supporting evidence was not identical: the first observation contained 15 cited URLs and the second contained 10. Neither observation included a SemanticRisk-owned citation. This is the distinction the product is designed to preserve: the target outcome can remain stable while the supporting citation environment changes.
This is a controlled self-test, not a market benchmark. Broader prompt coverage is still being executed before category-level conclusions are published.
This early implementation measures the OpenAI Responses API with web search. It is not presented as equivalent to the consumer ChatGPT interface. Model, prompt version, repetition, timestamp and evidence are retained so results can be audited longitudinally.
The product remains in controlled early access while we validate broader prompt stability, structured competitor extraction and citation classification.
For agencies, communications teams and organisations that want to know not only whether they appear, but who appears instead and what evidence is shaping the result.