Awareness starts with listening.
People used to find a company by searching and choosing from a list. More and more, they ask an AI assistant and take the answer. NUR AI exists so that a brand, and the agency that represents it, can hear those answers: who is named, who is recommended instead, and why.
Who is behind NUR
NUR AI was founded by Nital Joseph. We work with brands and with PR, marketing and SEO agencies worldwide, in English and in Hebrew.
What we do
NUR asks the questions a brand’s customers ask, across ChatGPT, Gemini, Claude, Perplexity and Google’s AI Overviews, on a consistent schedule. It keeps every answer and reads them all the same way. Then it checks the brand’s own website the way AI reads it, and turns both into a monthly plan with tasks, briefs and a before-and-after measurement. How it works.
What we hold ourselves to
- A record, not an anecdote. One answer from one model on one day proves little. We report rates across many answers, with the same questions and settings every time.
- We say what the data cannot show. When mentions rise after an article, that is a measurement, not proof of cause, and the report says so.
- No guarantees. Nobody controls what a model says. We measure, explain and show what to change.
- Evidence and best practice are labelled apart. A plan item backed by your own answers is marked differently from general good practice.
- Real answers only. The answers on our homepage are recordings of real ones, dated and labelled.
Talk to us
Write to contact@discovernur.com, or see NUR on your own brand.