AI Visibility use cases

A few common jobs people use AI Visibility for, so you know what to try beyond the first audit.

Tracking competitive position over time

See not just whether you're mentioned, but whether you're gaining or losing ground against named competitors as AI models update. The Brands section (under Analysis) is where this comparison lives day to day, not just at setup.

Finding citation opportunities

Identify which publications and sites AI models trust and reference in your category, so you know exactly who to pitch or partner with.

Spotting content gaps

Find cases where a source is cited as an authority in your category but doesn't mention your brand at all; that's a specific, actionable gap rather than a vague "improve visibility" goal. This is exactly what the Overview dashboard's "10 prompts need content" action surfaces: a concrete count of tracked prompts with no content covering them yet, not just a general suggestion.

Closing a gap by publishing content

Once a gap is identified, AI Visibility can generate content aimed at it directly from the Overview dashboard's Generate content action, styled to your Writing Rules, and pushed live through Publish Content, once your custom domain is connected and verified. This turns "we have a visibility gap" into a shipped article without switching tools.

Teaching it your brand voice

The Overview dashboard also surfaces "Teach Big Head your brand voice" as an action. Adding a writing style here keeps every piece of generated content on-brand, the same role Brand Memory plays for Creative Director and Performance Marketing, but specific to long-form written content.

Preparing for a client or stakeholder update

If you're running GEO for a client or reporting up internally, export a visibility trend view to show movement over a specific period.