Does ChatGPT give the same answers to everyone?

A language model writes an answer one token at a time, choosing each from a probability distribution. Unless randomness is turned off, which consumer ChatGPT does not do, the choices vary between runs. Small early differences compound, so two answers to the same question can recommend different products or cite different sources.

Beyond randomness, the context differs.

A single screenshot proves very little. A brand mentioned in one run may be absent in the next, and a competitor that appears once may not be consistently recommended. Visibility is better thought of as a rate: in how many runs of a representative prompt does the brand appear, and how is it described.

Fix 30 to 50 prompts that reflect real buyer questions. Run each three to five times per engine under comparable conditions, preferably logged out or in a clean session. Record mentions, citations, recommendations, and whether the description is accurate. Repeat monthly with the same prompts and report the change in rates, not individual answers.

SerionFlow's own AI visibility checks are sampled in the same spirit and labelled as directional evidence, not a measure of everything every user sees.

You cannot control the model, but you can make consistent answers more likely: describe your product the same way everywhere, publish clear pages that state what you do and do not do, keep facts like pricing current, and earn accurate mentions on sources that search retrieves. Consistency across sources tends to produce consistency in answers. SerionFlow is the wrong tool if you need daily tracking across many prompts and engines; a dedicated AI visibility tracker samples far more answers.