Competitor AI Visibility Benchmark (Onboarding)

Competitor AI Visibility Benchmark (Onboarding)

1. 01

   Define the client's competitive set and priority AI engines

   List 5 to 10 direct competitors based on shared target keywords and market overlap. Confirm which AI platforms matter most, such as ChatGPT, Perplexity, or Gemini, since coverage varies by tool.

2. 02

   Run baseline visibility queries for the client and each competitor

   Use a monitoring platform like KIME or Pallix to capture how often each brand appears in AI-generated answers for the agreed query set. Record visibility scores, share of voice, and cited sources.

3. 03

   Map citation sources to identify which domains shape AI answers

   For every brand mention, note whether the cited source is the brand's own site, a review platform, a forum like Reddit, or a competitor page. This reveals where the client is losing ground.

4. 04

   Compare traditional search rankings against AI visibility

   Pull keyword rankings from a tool like SpyFu and cross-reference with AI visibility data. A client can rank top 3 in Google yet be absent from ChatGPT answers, which signals a content gap.

5. 05

   Quantify the gap in dollar terms for the client

   Estimate the potential traffic and revenue lost by missing AI citations, using current organic conversion rates and average order value. This turns the audit into a business case.

6. 06

   Document findings in a benchmark report with a 30-day action plan

   Deliver a clear summary of visibility scores, citation gaps, and prioritized fixes. Include a timeline for re-measuring to track progress.