Start with the question
The key evaluation question is whether you can reproduce and inspect an observation. Define buyer questions before collecting answers, then store the engine and context. A summary score without the underlying answer is hard to audit when results change.
A workflow you can check
Use the following steps as a small acceptance test. Keep the underlying observations with your notes so someone else can review the conclusion.
- Test a fixed set of branded and unbranded questions.
- Record answer text, citations, engine context and observation time.
- Check how missing answers and unsupported engines are represented.
- Compare mentions, recommendation language and citations as separate measures.
Interpret the evidence
MARqentic’s AI answer research category is available. Inspect each tool’s live schema and costs before a larger sample. Any comparison should disclose its question set and limits; neither one answer nor one composite score establishes universal brand visibility.
A prompt to adapt
Replace the inputs with your own approved examples. Ask the assistant to explain its scope before starting research.
Create an AI visibility connector rubric covering answer evidence, citations, repeatability, missing results and cost. Require a transparent question sample for every reported percentage.