AI visibility for software and SaaS
Software choices increasingly start with a question to an AI assistant instead of a longlist. If you are not in that first answer, you do not exist on the shortlist.
An operations manager has to choose a new CRM and no longer starts with ten browser tabs, but with one question to ChatGPT: which CRM suits an SME in the Netherlands? The assistant gives three names with the pros and cons, drawn from review sites and comparison articles. Those three make the shortlist; your package makes it if it is in that answer, and otherwise not.
The questions we measure for your industry
These are four from the starter set; in the app eight are ready for you and you add your own customer questions.
- →“What software is there for project management in English?”
- →“Best accounting software for small businesses?”
- →“How do I choose a CRM system for an SME?”
- →“Have custom software built or take an existing package?”
Why this matters now
AI assistants lean on review sites, comparison sites and documentation. Which sources determine your category differs per assistant, and that is exactly what makes it measurable and influenceable.
Every measurement puts such a question live to ChatGPT, Gemini and Claude, multiple times, because AI answers differ each time. You get percentages with a confidence interval and the sources that determine the answer; that is your worklist straight away.
The sources AI cites in your market
AI assistants do not invent their recommendations, they lean on sources. These are the types that typically appear in this industry; which ones count for you differs per assistant and you measure that in the app.
Review platforms (G2, Capterra, Trustpilot)
Assistants often cite these sites verbatim for pros and cons; your category placement and review score weigh in directly.
Comparison articles and 'best X' lists
Editorial overviews in trade media and blogs form the backbone of many answers; being in them is decisive.
Your own documentation and changelog
Well-structured, up-to-date docs help a model determine what your product does exactly and for whom.
Three steps to start today
- 1
Measure your product on the category questions buyers ask ('best CRM for SMEs'), not just on your own brand name.
- 2
Check your listings on the review and comparison sites that feed the answers in your category; missing or outdated profiles cost you spots.
- 3
Make sure AI crawlers can read your docs and product pages; a SaaS site without server-side rendering is empty to many crawlers.
Frequently asked questions
Do you also measure English-language questions?
Yes. You set your own questions per market and language, and the measurement runs them separately; the same question in Dutch and English produces its own result, because assistants answer differently per language.
We are a niche tool. Do competitors show up that we do not know?
Almost always. The measurement captures every brand that appears in the answers, including foreign players and niche tools you did not have on your radar yet; you add them to your competitor list with one click.
Our site runs on JavaScript. Is that a problem?
Possibly. Many AI crawlers do not execute JavaScript, so a client-side rendered app can be empty to them. The AI Readiness audit in Geony checks this and puts a concrete action on your worklist if something is wrong.
Want to try it first? Do the free AI check with one of these questions and see within twenty seconds whether you are mentioned. Or start right away: the wizard sets up the starter set for software and SaaS companies automatically.
Is your industry just next to these? View all industries; the measurement works anywhere customers ask for recommendations.
Within a day you'll know whether AI mentions or ignores your brand
The first measurement runs on your own prompts, across three assistants, with real figures. No demo data, no sales call first.
Prefer to talk it over first? Book a call