Monitor what ChatGPT says about your brand.
Your prompts, put to ChatGPT, Claude, Gemini and Perplexity on a schedule, with every answer kept word for word and every brand mention counted.
Whole answers, kept on your schedule.
What you put in front of a client is the answer itself, word for word. Every run comes back as a ledger of full responses you can open, not a percentage you have to defend.
- Prompts
- The questions you track, each with its engines, cadence and last run.
- Responses
- Every answer collected in full, with per-engine mention rates across runs.
- Sentiment
- How each mention reads, traced back to the sentence it came from.
The engines name their sources. Read the list.
Share of voice tells you that you are losing. The citations tell you to whom, on which question, and from which page: the sources the AI used when it mentioned your brand, or your competitor.
- Citations
Every URL an engine linked to, split into your pages, competitors and editorial sources.
- Citation Gap
The prompts where a competitor won the citation, exportable as an outreach list.
- Page Intel
The pages that keep winning, crawled and scored, so you can see what they have that you do not.
Where AI answers meet your search data.
See which of your search wins carry over into AI answers, and which do not. Your prompts are joined to your real Search Console queries on what they mean, not how they are worded.
- Matched by meaning
- Prompts joined to the queries you actually rank for, spelling differences ignored.
- Ranked, never cited
- The queries you already win in search and never get cited on. Usually the cheapest work on the list, because the page exists.
- Needs Search Console
- Connect it to the same property; without it the bridge has nothing to join to.
Monitor AI answers on a schedule, not once.
One check shows what ChatGPT said today. Monitoring shows what it says every week: your prompts run on the cadence you set, every brand mention is counted, and the report is a rate across runs rather than one reply.
- Track brand mentions
- Whether you were named in each answer, how early, and in what terms, across ChatGPT, Claude, Gemini and Perplexity.
- Watch competitors arrive
- Every other brand the engines name, counted, including the ones you were not tracking.
- Start with one free check
- The free brand check runs one question across all four engines with no account, so you can see the shape of an answer before you track anything.
Eighteen reports over the same stored answers.
The whole suite, grouped by what you open each report to find out. Every one of them reads the answers a run collected, so nothing here is a score you cannot trace back to a sentence.
Defined in the glossary: share of voice, citation gap, fan-out.
Where you stand
How often the engines name you, and who they name instead.
- Overview
- Visibility over time, the citation mix, per-engine mention performance for the run, and the funnel from prompts asked through to answers that cite you.
- Visibility Score
- The share of finished answers that name your brand, with its history, split by engine and by topic, and split again between answers the engine searched the web for and answers it wrote from memory.
- Share of Voice
- Your mentions set against every other brand named alongside you, run by run, with your rank plotted as it moves.
- Competitors
- The brand leaderboard, brand against platform appearances, and the brands turning up in your answers that are not on your tracked list.
What the answers said
The answers themselves, kept word for word rather than scored and discarded.
- Responses
- Every prompt and every answer it returned, filterable by platform, by whether you were mentioned, and by whether the engine searched the web to answer.
- Answer Intelligence
- Where in an answer you are first named, your rank among the brands it lists, mention performance per engine, and the competitors named beside you most often.
- Sentiment
- How each engine writes about you, positive against neutral against negative, tracked over runs and set beside the competition, with the negative answers listed in full.
- Fan-Out
- The searches an engine runs before it answers you. Expansion per engine, the queries that repeat across prompts, and the raw search log behind them.
Where the engines got it
The sources behind the answers, and the ones you are missing from.
- Citations
- Every domain the engines cited and its share, the mix of your own pages against competitor and editorial sources, per engine and across runs.
- Citation Gap
- The prompts where somebody else won the citation, the domain that took it, and which competitor domain recurs across the most of them.
- Page Intel
- Your cited pages plotted by AI readiness against citations won, with FAQ schema and direct-answer coverage, and how much of the site has been analysed so far.
- Guest Posts
- Outreach targets drawn from the domains the engines already cite, ranked, with the stage each is at and which of them cite a competitor and not you.
Where the gaps are
The subjects you are absent from, joined back to the search data.
- Topics
- Mention rate by topic, topic against platform, and the topics where you are named on every engine or on none of them.
- Market Gaps
- Gaps on a priority matrix, grouped by topic, each with a content brief consolidated from the answers that produced it.
- AI ↔ SEO Bridge
- Your prompts joined to your real Search Console queries by meaning, on a quadrant that separates where you rank and are cited from where you rank and are never named.
Running it
What gets asked, what it costs, and what the next run will do.
- Prompts
- Your stored prompts and their topics, which are paused, and how much of the plan’s prompt capacity is left.
- Run History
- Every scan: answers collected, credits spent, and the log entry for any run that failed.
- Configuration
- Which engines are enabled for the property, the schedule it is scanned on, and the competitors tracked against it.
- reports over the stored answers
- 18
- reports over the stored answers
- engines asked on your schedule
- 4
- engines asked on your schedule
- credits with every new account, one full scan
- 100
- credits with every new account, one full scan
- a month where answer tracking starts
- $19
- a month where answer tracking starts
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 during training. Perplexity always searches the web.
What does a scan actually store?
The complete answer text, not a summary. From it Prism pulls whether your brand was named and how early in the answer, the sentiment around the mention, every other brand that appeared, every URL the engine cited, and any follow-up searches it ran before it replied.
How many prompts can I track?
Ten on Starter, 50 on Pro and 100 on Enterprise, per property. You choose how often they run, and the credit cost of a run is shown before you schedule it.
What happens if an engine fails to answer?
You get the credits back. Prism refunds the run when every answer fails, and refunds the failed portion when only some do.
The rest of the platform
- Search Performance 17 reports over your Search Console data: queries in striking distance, cannibalised pages, position changes, month on month, and the day Google swapped the page that ranks.
- Site Health Crawl and Lighthouse-score every page, then sort the findings by what each does to traffic: broken while earning, recoverable losses, upside, housekeeping. 14 reports.
Ten prompts is enough to find out where you stand.
Write the questions your customers ask, point them at all four engines, and read what comes back word for word.
Want to check by hand first? How to check whether ChatGPT mentions your brand, and which sources it cites when it does. Both sit in the guides, with two more on how far to trust what comes back.