SaaS & software

Are AI models recommending your product?

Software buyers ask AI to compare tools, shortlist vendors, and make purchasing decisions. If your product isn't in those recommendations, you're not on the shortlist.

AI is shaping the software buying process

"Best project management tools for remote teams", "CRM alternatives to Salesforce", "Which analytics platform should I use for a startup?" — these are the queries that create shortlists. And increasingly, people ask AI instead of reading G2 reviews or Googling comparison posts.

The challenge for SaaS companies: AI models have strong opinions about well-known tools and may overlook smaller or newer products entirely. If you're not in the training data — or not represented well — you don't get recommended.

Prompts that matter for SaaS

"Best [your category] tools for [target audience]"
"What's a good alternative to [market leader in your space]?"
"Compare [your category] options for [use case]"
"Which [your category] has the best API?"

These are the questions that determine whether a potential customer discovers your product or goes straight to a competitor.

Why SaaS companies need AI monitoring

AI shapes the shortlist

Buyers who ask AI "best X for Y" often go with one of the recommendations. If you're not listed, you're not considered.

Developer-focused tools need visibility too

Developers ask AI for library and tool recommendations constantly. Being mentioned in those responses drives adoption.

Competitors may already be tracking this

If your competitors are optimising their AI presence and you're not monitoring it, you're flying blind.

Content strategy feedback

See whether your blog posts, docs, and landing pages are being cited by AI. Understand what content drives AI visibility.

Check if AI recommends your product

14-day free trial. 13+ models. Your own API keys.