AI answer monitoring that keeps every answer, word for word.

ChatGPT, Claude, Gemini and Perplexity. Three of the four are asked with live web search turned on, so the answers reflect what the engine can find today rather than what it memorised in training. Perplexity always searches the web.

The complete answer text, word for word. From it Prism pulls whether your brand was named and how early, the sentiment around the mention, every other brand that appeared, every URL cited, and any follow-up searches the engine ran before replying.

Four credits for an answer fetched with live web search, two for a cached one. Ten prompts across all four engines is roughly 140 credits, and the cost is shown before you schedule the run. Credits reset monthly and do not roll over.

You get the credits back. Prism refunds the whole run when every answer fails, and the failed portion when only some do.

It gives you the evidence to work from: every answer stored word for word, who was named and how early, and which pages the engines cited. That tells you which questions you are losing, to whom, and which pages are doing the winning, so the work you choose runs on what the engines actually said rather than on guesses.

A single answer is not reliable, and no tool can make it so: the engines are not deterministic, and the ones that search the web find different pages on different days. What holds is the rate across runs. Prism asks the same prompts on a schedule, keeps every answer in full, and reports how often you were named, how early, and by which engine, so a change in the rate is a change in the world rather than noise in one reply. When a number looks wrong, the answers behind it are there to read.

Rank tracking records a position on a results page. An answer has no positions, so monitoring one means keeping the text and reading what it says: whether you were named, where in the answer, in what terms, beside whom, and citing which pages. Prism stores the response rather than a score.