GEO / LLM Visibility

The problem

Kanbanq, a project-management SaaS concept in this audit, needed to understand whether it appeared when buyers asked AI tools which project-management software to use, which competitors were surfaced instead and which pages could better answer those questions.

Research & diagnosis

I treated AI visibility as a prompt-level discovery problem. The review considered buyer questions, competitor mentions, answer coverage and the content signals that could make a brand easier for answer systems to understand.

Strategy

I built an actionable visibility review around the questions buyers ask, the alternatives they compare and the evidence or explanations missing from the brand's own content.

What I implemented

1. Mapped 20+ buyer-prompt opportunities for project-management software.
2. Reviewed competitor representation and citation opportunities across relevant prompts.
3. Identified content gaps around entity clarity, questions and answers, comparison content and supporting evidence.
4. Organised findings into practical content and visibility recommendations.

Evidence & outcomes

Independent audit project. Prompt coverage and citation opportunities are audit outputs, not a measured increase in AI visibility.

Project context & my contribution

Independent project. This work demonstrates my approach to evaluating AI-search visibility and turning findings into content recommendations.