Agencies managing a large portfolio of brands can navigate between different accounts using the workspace switcher. This menu is located at the top of the sidebar and allows you to jump between client dashboards without logging out or navigating multiple sub-menus. This centralized access ensures that account managers can monitor the AI performance of several brands from a single login.Each workspace remains completely isolated. This means that prompts, competitor lists, and historical data for one client never mix with those of another. Maintaining this data integrity is critical for agencies that serve competing brands within the same industry.
Agency owners can assign specific team members to individual client workspaces to maintain security and focus. Within the Workspace Settings of each account, you can invite account managers or analysts as members. This ensures that staff only have access to the specific data sets required for their assigned projects.Using the member role prevents accidental changes to workspace-level settings while allowing your team to manage prompt libraries and analyze visibility gaps. This internal control helps agency owners maintain high-quality data standards across the entire client roster.
To manage multiple clients at scale, agencies should establish a standardized framework for prompt categories and naming conventions. When every client workspace uses consistent labels such as “Product Category” or “Competitor Benchmark,” your internal team can evaluate results faster. This consistency reduces the time required to onboard new staff and allows for a unified approach to performance analysis.Standardizing your operations also makes it easier to identify broad shifts in AI behavior. By seeing how similar categories perform across different clients, your agency can gain unique insights into how specific LLMs are updating their ranking logic or sentiment classification across various industries.
Managing multiple accounts in KIME allows your agency to build a proprietary benchmark for “good” visibility across different sectors. By comparing the AI Performance Scores of your top-performing clients against new audits, you can provide prospective clients with realistic growth projections. This historical data across multiple accounts becomes a primary asset for proving your agency’s expertise in AI visibility management.
