Seeno measures how ChatGPT, Perplexity, Gemini, Google AI Overviews and Claude recommend software, across categories, use cases, comparisons and alternatives to the incumbents.
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Real prompts from the live product configuration. This is the clearest proof Seeno is built for your industry, not a generic prompt box.
Buyers ask an assistant for "the best tool for X" and get three names. Landing in that list is the new top of funnel, miss it and you are not evaluated.
When someone asks for alternatives to an incumbent, AI reaches for review sites and comparison content. What lives there decides whether you are the named alternative.
G2, Capterra and TrustRadius disproportionately shape answers. Thin or dated presence there quietly caps your AI visibility.
The same six signals, in the language of b2b saas.
A configured product example. Products shown are illustrative, not a published ranking.
Example category competitor view, labelled product evidence, not a ranking.
The domains AI leans on when answering b2b saas questions. Presence and accuracy here is what moves the recommendation.
Recommendations tie to specific question clusters, competitors and sources — not generic advice.
Publish a structured comparison page for a category prompt you keep losing.
Deepen review-site presence and freshness where AI cites G2, Capterra and TrustRadius.
Build use-case pages mapped to the exact jobs-to-be-done buyers ask about.
Align product and pricing descriptions across the sources AI reaches for.
Managing this for clients? See Agency Mode →
It is a labelled configured example until a public SaaS report ships. Your audit measures your product against its real category set.
Same-category software products only, review platforms, analysts and directories are excluded from the competitor set.
No. It is the AI-answer layer: which products get named when a buyer asks an assistant, not which page ranks on Google.