Aeloria
Aeloria is an AI reputation training system that helps brands become the companies AI engines recommend when buyers ask questions. The platform runs Discovery Trails across ChatGPT, Gemini, and Perplexity to detect where competitors are cited instead, then provides ranked, evidence-backed fixes and re-measures results against the same prompt set. It also offers an agency plan with prospect audits that require no access to a target's systems.
- Artificial Intelligence
- Data & Analytics
- Marketing Technology
- Software Only
Funding
Founders
Product
Problem
Traditional SEO tools measure website rankings on search engines, but they cannot see where AI assistants like ChatGPT, Gemini, and Perplexity cite brands in their answers. As buying decisions increasingly move to AI-driven conversations, companies lack visibility into why they are being overlooked and what specific actions would change those outcomes.
Solution
Aeloria provides an AI reputation training system that runs Discovery Trails—questions real buyers ask—across multiple AI engines and languages, recording every answer where a competitor is cited instead of the client. The platform diagnoses root causes by showing what the AI engine cited and where it pulled that information from, then prioritizes findings into specific, ranked actions based on expected impact versus effort. After fixes are shipped, Aeloria re-runs the identical prompt set to measure movement, closing the loop between diagnosis, action, and proof. The system also includes a Content Optimizer that validates content before publishing, ensuring it is structured to be cited by AI engines.
Target Audience
Primary customers are marketing teams and brand leaders at companies whose buyers consult AI assistants, as well as agencies that need to diagnose, pitch, and manage AI visibility for multiple client brands.
Features
- Discovery Trails that run buyer questions across ChatGPT, Gemini, and Perplexity, in multiple languages, capturing every answer where competitors are cited
- Root-cause diagnosis per gap, showing exactly which source the AI engine cited instead and what content it lifted from that page
- Ranked fix pipeline that converts findings into specific, written actions ordered by expected impact against effort
- Re-measurement against the identical prompt set on a schedule, with analytics refresh rates from every 3 to 7 days depending on plan
- Brand AURA score consolidating discovery, narrative, sentiment, and review analytics into one metric with per-engine breakdowns
- Content Optimizer that validates content before publishing to maximize AI citability
- Prospect audits for agencies that require no access to a target's systems, since AI answers are built from public third-party sources
- Multi-brand consolidated dashboard with white-label reporting for agencies managing multiple clients