Ten scans. One picture of what AI says about you.

Three kinds of scan

Every scan answers one of three questions, and they read best in that order. What are the engines saying about you? What can they actually see when they come looking? And of everything that turned up, what is worth changing first?

Which one do you need?

I do not know whether AI engines mention us at all

Run Visibility first. It asks the questions your customers actually type, across every major engine, and records who gets recommended by name. That is the one measurement the other nine are read against, and it is free to try without a card.

They do mention us, but the description is wrong

PR & Brand shows you what is being said and which sources it is drawn from. Product Strategy then shows where the wrong story comes from: your own positioning, priced and phrased beside your rivals, with every claim traced to the page it was read on.

Our pages never seem to get read

Start with Site Pulse for whether a crawler can reach and parse the page at all, then AI Vision for bot access and entity signals. If the markup itself is the suspect, Schema Audit in the Schema tools package grades it.

I have the findings. I need to know what to fix first

Pick the page that matters most and run Content Tool on it. It scores that one page against what wins AI citations and hands back before and after patches anchored to real published sources.

How they work together

1. Scan. Pick a study and run whichever scan matches the question you have. Every result lands against that study, so nothing has to be re-entered.
2. Compare against competitors. The rival set is taken from the AI answers themselves rather than from a list you typed, so you find out who you are really being measured against.
3. Fix. Product Strategy shows where your own positioning tells the wrong story. Content Tool works a single page down to the sentence.
4. Re-scan on a schedule. A scan is a reading, not a verdict. Put the ones that matter on a schedule and you get a trend line instead of an anecdote.

What a scan costs, and how long it takes

Scans are paid for in credits, not per tool, so a plan is not a list of products you did or did not buy. Credits are spent on the work a scan actually does: the engine queries it runs and the pages it fetches. A broad visibility scan across five engines costs more than a narrow one on two, and a crawl of a 2,000 page site costs more than a crawl of 30. Cached responses are not charged twice. Plans carry 500, 2,500 or 20,000 credits a month and unused credits roll over for up to three months - the numbers are on the pricing page.

Nothing here is instant, because nothing here is a lookup. A scan queues, runs against live engines or a live crawl, and tells you on its own page when the result is ready. Your first visibility scan is free through onboarding, so you can see the shape of the output before you spend anything.

Scans and Google Search Console measure different things

Search Console reports what happened inside Google's index on your own property: impressions, clicks and the queries that led to them. It is the record of traffic you already received. A scan asks an AI engine a question and writes down the answer, and that conversation never touches your site, so no amount of reading Search Console will tell you whether ChatGPT named you. The two are complementary rather than competing. For the other half of the picture - which AI crawlers are actually reaching your pages and what they took away - the AI Traffic view in Your site is where that lives.

Common questions