Most tools tell you what your content looks like. Prism goes out to the answer surfaces on every scan and brings back what is actually happening there — AI Overviews, People Also Ask, rankings, query variants, long-tail intents and verified demand.
Plenty of platforms will show you a confident figure for how visible you are. Ask where it came from and the answer is often a model, a sample, or a number bought from someone else and rounded. Prism fetches live, every scan, and labels anything that is not directly measured.
Each one is pulled fresh and scored into the Prism Score — and competitor scores and publishing velocity are fetched live alongside them.
Which of your keywords trigger an AI Overview, who is quoted inside it, and whether that citation is yours or a competitor’s.
Question-level ownership — the PAA boxes your pages hold today and the open questions still available to claim.
Where each page actually sits, refreshed per scan, so movement in the score can be read against movement in the results.
An engine expands one question into many. Prism fetches those variants and maps the ones your page has to answer to stay in the result.
The unusual phrasings and long-tail intents where answers swing — fetched rather than guessed at, so wins there are deliberate.
Keyword-level volume behind every recommendation, never an inflated grouped total.
Answer surfaces move week to week. A recommendation built on a three-month-old export can send a writer to rework a page that is already winning, or leave one that quietly lost its citation.
It is fetched directly from the answer surfaces on each scan — AI Overviews, People Also Ask, search results and the query variants those surfaces expose — alongside verified keyword-level demand.
On every scan. You set the cadence, and each run produces a what-changed report against the previous one.
Anything the platform derives rather than observes is labeled as modeled wherever it appears. The distinction is visible in the app and carried through into the audit report.
Grouped totals inflate the apparent opportunity. Keyword-level volume is smaller, less flattering and defensible when someone checks it.
A live walkthrough on your own site — your pages, your citations, your gaps across every AI surface.
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