Prism
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AI answer monitoring

Keep every answer, word for word.

Prism stores the complete response, not a score. When a report says a rival was named ahead of you, you can open the answer and read the sentence.

Prism's AI Visibility prompts report: a list of tracked prompts with the engines each one runs on, how often it runs, when it last ran and whether the brand was mentioned in the answer.
Stored answers

Asked live. Stored whole.

You get the answer a customer would get today, not last year's training data — the engines are asked with live web search on wherever they support it.

The whole response
Kept word for word, so every number on every report traces back to the sentence it came from.
Taken apart
Whether you were named and how early, the sentiment around it, every rival that appeared, every URL cited, and the searches the engine ran first.
Priced before you run
The credit cost of a schedule is on screen while you are choosing it, and an engine that does not come back is not charged for.
Prism's AI Visibility responses report: 32 answers collected with none failed, 22 mentioning the brand at 69% of answers, 11 answers that searched the web and 5 where search was requested but not run, above a table of eight prompts with per-engine mention dots, answer counts, mention counts and mention rates.
AI Visibility → Responses

What a run does, in order.

“best running shoes for flat feet”

Your prompt, worded the way a customer types it.

  • ChatGPT
  • Claude
  • Gemini
  • Perplexity

Asked on the schedule you set.

The whole answer stored, word for word.

  • Named, and how early
  • Sentiment around it
  • Brands beside you
  • URLs cited
  • Searches it ran first

Parsed from the stored text, so every fact traces back.

One run: prompt → four engines → stored answer → parsed facts.

Prompt templates come from your brand vocabulary rather than a generic list, and because the text is kept, a brand-alias merge made later re-counts the answers you already hold.

Frequently asked questions

Which engines does Prism ask?

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.

What gets stored from a run?

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.

What does a run cost?

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.

What happens if an engine fails to answer?

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

How does this help me rank in ChatGPT?

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.

Read one real answer first.

Write the question your customers would ask, point it at all four engines, and read what comes back word for word — your first scan is covered by the 100 credits every new account carries.