Trustable Labs functions as an evaluation dashboard that scans how major artificial intelligence models and search engines interpret and recommend specific brands.
The core system audits presence across eight platforms, including ChatGPT, Claude, Perplexity, Gemini, Grok, DeepSeek, Copilot, and Google AI Overviews.
Instead of relying on basic keyword tracking, the software utilizes real customer buying intent prompts to generate an overall visibility scorecard.
The dashboard breaks down performance into 14 distinct metrics that cover technical data structure, content authority, and model trust levels.
An integrated simulation engine allows users to run hypothetical purchase queries to test if the AI recommends their brand or a direct competitor.
When a competitor is favored by the model, the interface outlines the specific reasons and provides actionable content adjustments to close the gap.
For ongoing monitoring, the platform tracks sentiment changes, lost brand mentions, and shifts in competitor AI share of voice over time.
An AI copilot module converts this historical data into structured 14-day action plans, complete with optimization tasks and content templates.
The architecture is built to support white-label agency deployment, offering custom CNAME configurations, branded client portals, and embeddable trust badges.
The entire system operates as a browser-accessible application, allowing marketing teams to manage multiple brand profiles from a single location.
Key Features
Eight-platform AI visibility scanning
Real buyer intent recommendation simulations
Competitor AI share of voice tracking
Fourteen-day automated optimization action plans
White-label agency dashboards and reports
No deal available