An AI visibility audit answers a specific question: when potential customers ask AI models the questions that should lead them to your business, does your business appear in the answers? Running this audit reveals your current AI visibility baseline, which models mention you most frequently, what queries you appear in versus which you're absent from, and which competitors are being cited in your place.
Step 1 — Define the Query Set
Identify 20 to 30 questions your ideal customers would realistically ask an AI model when researching your category. For a B2B marketing agency: "What is the best marketing agency for SaaS companies?" "Who are the top cold email agencies?" "What agencies specialize in GoHighLevel?" These should reflect real buyer language — not industry jargon or your own branding.
Step 2 — Query Each AI Model
Run each question through ChatGPT, Claude, Perplexity, and Gemini and record: whether your business is mentioned, the specific language used, where in the answer you appear (first citation, passing mention, or absent), and which competitors are cited. This produces a visibility matrix showing your presence across models and query types.
Step 3 — Identify Gaps and Optimize
Queries where you appear consistently indicate strong coverage in that category. Queries where competitors appear and you don't indicate content gaps — the specific topics and structured content your site needs to become an AI-citable source. The Omni AI Visibility Engine automates this entire process by running queries across all four models simultaneously. The full system is at omnionlinestrategies.com/ai-discoverability-demo.