Rivenex Studio helps teams research where supported AI answers mention a brand, inspect the cited pages and domains, estimate AI-search topic demand, compare controlled model prompts and explore supported public AI result pages. Save the date, settings and returned evidence; export findings for your team. Four focused workflows, no universal visibility score or ranking promise.
Hi Product Hunt — I’m the maker of Rivenex.Studio. I built it to answer a practical question marketers kept asking: what do supported AI answers actually say about a brand, and which sources are behind that answer?
Rivenex.Studio brings four focused research workflows into one workspace:
- Sightline checks supported brand mentions and source/domain/page evidence.
- DemandMap estimates AI-search demand for keyword groups.
- PromptLab runs controlled prompts against dynamically available models.
- AnswerLens inspects supported public result pages and citations.
Every saved study keeps its settings and collection date with the returned evidence. Results vary by provider, model, location and time; this is research, not a ranking guarantee or a universal “AI visibility score.”
I’d love your feedback on one thing: what would you need to see in an AI-visibility report before using it to make a real marketing decision? If useful, share your industry and a non-sensitive example question and I’ll point you to the best-fit workflow. Thanks for taking a look.