juma-geo-audit

To audit brand visibility in AI search, you need to test brand mentions, category relevance, and problem-solution queries across LLM platforms. This process captures accuracy, sentiment, and citation sources to quantify visibility gaps and establish a baseline for AI search optimization.

A GEO audit evaluates your visibility and citation frequency in AI-powered search and LLM outputs like ChatGPT, Claude, and Perplexity. Unlike traditional SEO, it addresses the growing visibility gap where buyers use AI for product research and decision-making, mapping content readiness for AI algorithms.

Tracking competitor citations across LLM platforms involves building a competitive GEO matrix that maps where your brand and competitors are referenced. This inventory captures source citations, accuracy, and sentiment across ChatGPT, Claude, Gemini, Perplexity, and Bing Chat queries.

Yes, a GEO audit onboards clients by establishing an AI search visibility baseline and producing a phased implementation roadmap. This deliverable justifies ongoing retainers by outlining quick wins, content optimization priorities, and authority-building actions tailored for AI platforms.

A GEO audit works across ChatGPT, Claude, Gemini, Perplexity, and Bing Chat to assess AI search visibility. It applies a structured framework across these LLM platforms to test problem-solution queries and quantify brand mention accuracy, sentiment, and citation sources.

A GEO visibility score quantifies your structured assessment across multiple LLM platforms, while a citation inventory maps competitor source references. Together they form a baseline deliverable that guides content optimization priorities and a phased implementation roadmap for improving AI search presence.