Use case

For B2B SaaS marketing teams

You own the pipeline number. A growing share of your category's buying research now happens inside an AI assistant that recommends three vendors and never mentions the rest, and none of it shows up in your analytics.

The problem you actually have

A prospect asks ChatGPT which tools to consider. They get an answer naming four competitors. They evaluate those four. You never appear in a report, because there was no click to attribute and no impression to count.

Traditional search told you where you ranked. AI search tells you nothing at all unless you go and measure it.

What you get

The Share of Model number you take to a board meeting, with the interval that makes it defensible.Product screenshot
The number you take to a board meeting, with the interval that makes it defensible.

A defensible number for the board

Share of Model with a confidence interval, tracked over time against named competitors. When a change isn't statistically real, it says so, which matters more than it sounds the first time someone challenges the chart.

A diagnosis, not just a gap

Whether you are absent because the model doesn't know you, because bots can't retrieve your pages, or because your content can't be quoted. Three different problems with three different owners.

Work your team can actually do

Located findings with generated fixes, structured data, rewritten answer blocks, content briefs, prioritised by impact against effort.

Evidence the work paid off

Re-measure on a schedule and see whether the fix moved your share, with the same honesty about significance applied to the improvement as to the problem.

Questions this answers

"Are we in the consideration set?"

Across your real buying questions, how often you are named and how often you are actually recommended, which are not the same number.

"Who is winning our category?"

The brands assistants name instead of you, ranked by how many answers name them, including ones you had not considered competitors.

"Why aren't we being cited?"

Whether your pages are even retrievable by AI crawlers, and which sources the models are using in your category instead.

"Did last quarter's content work?"

Movement in your share since the change, with an interval, and a plain statement when the movement is not distinguishable from noise.

Where to start

Run the free audit on your own domain. It crawls 25 pages and returns real findings, no card, no call. If the diagnosis is useful, Diagnostic at $99/month adds weekly crawls of 500 pages and monthly measurement.

Find out if you're in the answer

Audit your own domain free, then measure your share of the category.