Track and optimize brand visibility across AI search and LLMs

Erlin AI sits in the middle of AI search and content strategy, helping teams understand how their brand shows up inside LLM-generated answers.

It tracks brand visibility across AI systems like ChatGPT, Perplexity, Gemini, and AI Overviews.

Instead of focusing only on rankings, it looks at how often and in what context a brand is mentioned or cited by AI models.

A major part of the platform is prompt research, which surfaces real user questions and intent patterns from AI search behavior.

These prompts can be mapped to content opportunities and gaps in existing pages or topics.

Erlin AI also analyzes competitors to show where other brands are getting visibility that you are not.

From there, it connects insights to content optimization recommendations aimed at improving AI discoverability.

Teams can use these insights to guide briefs, refine messaging, and adjust content structure for better AI recognition.

The goal is not just tracking presence, but understanding why certain brands are being surfaced by AI systems.

Key Features

AI visibility tracking across LLM platforms

AI citation and mention monitoring

Prompt and user intent research

Content gap and optimization insights

Competitor benchmarking in AI search