AI Rank GrowLook inside the AI answer.
A research workspace for understanding how brands and sources appear in answers from AI systems.
- My role
- Product design, development & launch
- Built for
- Website owners and marketing teams
- Platform
- Web · Next.js · private beta
The job to solve.
A brand mention alone says little about the question asked, the source cited or the evidence behind it. Useful AI visibility research needs that context to remain inspectable.
The approach
AI Rank Grow starts with a website and a set of questions. The workflow lets an approved user review prompts before collection, inspect answers and citations, and turn saved evidence into research outputs.
Take a closer look.
A 21-second visual tour made from real product screenshots. Captioned, with no audio. Press play when you’re ready.
Screen descriptions
- 0:00Start with the question
The real public website introduces the research workflow and its example prompt set.
- 0:07Review the evidence
The product retains answers and cited sources so a researcher can inspect the basis of a finding.
- 0:14Know the boundaries
This is a public-site overview of a private-beta product, not footage from a customer's research workspace.
What I built.
An evidence-centered workspace that connects research collection, review and reporting instead of reducing everything to an unexplained score.
- Approve the questions
- Topic-based prompts can be edited and selected before an automated search is run.
- Keep the evidence
- Full answers, brand mentions and cited sources remain connected to the research that produced them.
- Carry findings forward
- Page checks, keyword context, content briefs and exports support the next step after collecting an answer.
Out in the world.
Private beta for approved accounts. Provider API answers and imported consumer-app answers stay distinct; neither guarantees a future citation.
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