Pain Points & Solutions
Pain point 1: AI answers are a black box
Symptom: You don’t know how models describe your brand, so you can’t tell if there’s perception bias.
Solution: Compare platform metrics on the overview, then open model answer records to inspect brand descriptions answer by answer.
Pain point 2: Lots of tactics, opaque results
Symptom: You change prompts or content but can’t quickly verify impact.
Solution: Build a closed loop: add monitoring prompts → review data changes → review metrics. Use group views to track rank and exposure trends by topic.
Pain point 3: Cross-team collaboration is fragmented
Symptom: Marketing, content, ops, and engineering lack clear ownership and permissions.
Solution: Use team management for member roles (admin/member) and brand management for brand + competitor setup. Support multi-team, multi-brand, and quota controls.
Pain point 4: Insights don’t turn into execution
Symptom: Insights and action are disconnected; optimization work isn’t tracked continuously.
Solution: In Optimization Center, generate articles from citation insights, pick highly cited references, publish with AI, and track results.
Recommended rollout order
- Build the monitoring board first — Create team & brand, add monitoring prompts (overview + insights)
- Then manage strategy — Group prompts by topic and track performance (Tracked Prompts)
- Finally close the loop — Generate optimization articles from insights and validate after publish (Optimization Center)
Go to Workspace → and start monitoring your brand.