AI Citation Visibility Audit (QA)

AI Citation Visibility Audit (QA)

1. 01

   Define the client's core brand and product keywords for AI citation tracking

   Select 10-20 high-intent terms that buyers actually use in conversational queries, not just traditional SEO keywords.

2. 02

   Run baseline queries across major AI platforms including ChatGPT, Gemini, and Perplexity

   Use tools like Nightwatch or Peec to automate these checks, but manually verify a sample of 5 queries per platform to confirm accuracy.

3. 03

   Document whether the client appears, and if so, capture the exact citation source and sentiment

   Record the URL or content piece cited, and note whether the AI frames the mention positively, neutrally, or negatively.

4. 04

   Compare client visibility against at least three direct competitors for the same queries

   Benchmark share of voice and position metrics to identify gaps where competitors are cited but the client is absent.

5. 05

   Flag any instances where AI responses contain outdated, incorrect, or biased information about the client

   Recent incidents like Google's AI search returning problematic emergency prompts show why manual review matters; document these for client discussion.

6. 06

   Compile findings into a client-ready report with clear visibility scores and actionable recommendations

   Use white-label reporting from platforms like TrackRight or AccuRanker to present data in the agency's own branding.

7. 07

   Schedule a follow-up audit within 30 days to track changes after implementing content and citation fixes

   AI citation sources shift rapidly, so a single audit is insufficient; recurring checks are essential for proving progress to clients.