01 / Monitor
NUR AI asks your customers’ questions across ChatGPT, Gemini, Claude, Perplexity and Google’s AI Overviews, on a consistent schedule. You see who is named, who is recommended, who takes your place, and which sources the answers lean on.
One brand. Two perspectives.
What AI says about you is one side. What your website tells AI is the other. NUR AI works on both: it listens to how AI sees your brand, and it prepares what your website tells AI, so the story in the answer is yours.
02 / Prepare
- Narrative ready. Your story, stated plainly, the way you want AI to tell it.
- Agent ready. Products and services, what sets you apart, who you are for, and how to reach you, where an AI agent can find and use them.
What is different about NUR AI
- It tests your site the way an AI agent uses it. Every four weeks, AI agents attempt real customer tasks on your website, and you see where they fail.
- It follows PR coverage by article. For each piece: was it cited by the assistants, and did your mentions move on the same questions, against your competitors.
- It is built around an agency’s month. A plan you approve before your client sees it, tasks and briefs for your team, and a portal your client can open.
- It says what the data cannot show. A measurement is never dressed up as proof of cause, and evidence is labelled apart from general good practice.
Comparing tools? See NUR AI next to the three tools AI names most, row by row, from what each company publishes on its own website.
See both perspectives in practice: how NUR AI works, or a first scan with real numbers.