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For SaaS companies

Buyers ask AI which software to choose. Are you in the answer?

Laup tracks whether ChatGPT, Copilot and Gemini name your product when buyers ask about your use cases, which vendors get named instead, and which sources the engines read. Per use case, per engine and per Nordic market.

Or start a trial to track your product every day.


What you see

Three answers, per engine, every day

Everything below is measured from real captured answers, reported per engine, never blended into one score.

Named or absent

Your share of the answers in each use case you track, per engine, against the vendors the assistants actually name.

Competitors that are competitors

Every company named in an answer is classified. Software vendors count against you; agencies and the tools you run on are set apart, so the list is not padded with your own stack.

The sources that decide

The exact pages each engine read before it answered, so you know which review sites, directories and comparisons are shaping the recommendation.


Built for how software is bought

Several markets, several use cases, one place to work.

One product, three Nordic answers

A buyer in Sweden gets a different answer from one in Norway. Laup tracks the same product once per market, each with its own country and language, so a use case that wins at home and loses across the border is visible instead of averaged away.

Use cases, not one score

Your questions are grouped into the use cases you sell into, and visibility is scored per use case. A strong core product does not hide a weak new module.

From measurement to work

Gaps become an action plan: evidence-backed cards your team moves through a board, discusses in place, and can hand to its own AI agents through MCP. Every card points back at the answers it came from.


How the team works with it

The same figures for everyone who asks.

Leadership wants one figure and a direction. The team needs the answers behind it. Both read from the same workspace.

One workspace, the whole team

Colleagues join the company workspace as admins or members and see the same answers, the same per-category figures and the same action plan. Nobody is reading a summary of someone else's summary.

Figures that hold up in a meeting

Every number is reported per engine over a 7, 30 or 90 day window, and every captured answer is kept and dated. A share-of-voice figure can always be traced back to the text it came from.

A readiness report you can forward

The free scan of your site produces a report with its own link and a PDF, so the technical findings can go to engineering without a login.


Run the free scan. See what AI can read about your product, and whether it recommends you.

AI visibility for SaaS companies - Laup