Nº 018 / Working with Delphic / Method

How do I know whether my firm is being credited by AI?

Delphic gives the client a reviewable baseline: the buyer questions asked, the answers returned, the roles the firm received and the uncertainty around the result. Repeated observation replaces the favourable screenshot, while preserved evidence lets the client inspect what the measurement means and repeat the same important buyer questions independently.

One answer is not a position

Generated answers vary. A single output can be a useful example, but it cannot establish how a firm is usually treated. Delphic therefore repeats the natural buyer questions that matter and reports the commercial outcomes separately rather than compressing them into one visibility score.

The client can inspect the evidence

A useful baseline cannot depend on a favourable screenshot or hide ordinary variation inside one score. The client can review the questions, underlying answers and source evidence. It can also repeat the questions independently. Uncertainty stays visible rather than being edited out of the story.

Research on AI-search visibility supports the need for repeated measurement: sources selected for the same query can vary across runs. Repetition does not remove that variation. It shows how much confidence a decision deserves.

What a baseline can support

A defensible baseline shows how the firm is repeatedly positioned and how much uncertainty belongs to the result. Its purpose is practical: replace the screenshot with evidence sturdy enough to support a commercial decision.

Related questions

Sources

DISCLOSURE LINE · CORE PARTIALLY DISCLOSED

PUBLIC AT THIS LINE

Repeated observation, preserved evidence, separate commercial outcomes, visible uncertainty and a reviewable result.

HELD AT THIS LINE

How repeated observations are turned into a defensible baseline.

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