AI Visibility Gap Audit (Onboarding)

AI Visibility Gap Audit (Onboarding)

1. 01

   Define the client's core topic clusters and priority queries

   Map the three to five topic clusters that drive the client's revenue, then list the specific queries a buyer would ask an AI assistant about those topics.

2. 02

   Run baseline visibility checks across at least two AI engines

   Use a platform like KIME or Pallix to record whether the client is cited, mentioned, or absent for each priority query in ChatGPT and Perplexity.

3. 03

   Capture competitor citations for the same query set

   For each query, log which competitor domains, Reddit threads, or YouTube videos the AI engine cites, noting the source type and frequency.

4. 04

   Compare AI visibility against traditional search rankings

   Pull the client's current Google rankings for the same keywords from a tool like SpyFu and flag any query where the client ranks on page one but is missing from AI answers.

5. 05

   Identify citation gaps and adjacent topic coverage holes

   Cross-reference the AI citations with the client's content library to find topics where competitors are cited but the client has no relevant page or post.

6. 06

   Document the gap analysis in a client-facing report

   Summarize the visibility scores, competitor benchmarks, and specific content gaps, then prioritize the top five opportunities by revenue potential and effort.