AI Citation Audit (Delivery)

AI Citation Audit (Delivery)

1. 01

   Define the client's critical brand queries

   List the 10 to 20 questions a prospect would ask an AI assistant before buying, such as 'best [service] for [industry]' or '[brand] vs competitor'.

2. 02

   Run each query across major AI platforms

   Use a monitoring tool like LLM Pulse to capture responses from ChatGPT, Perplexity, and Gemini, noting whether the brand is mentioned, the sentiment, and which sources are cited.

3. 03

   Flag hallucinations and misattributions

   Mark any response that contains false claims, outdated pricing, or incorrect competitor comparisons. Record the exact prompt and output for evidence.

4. 04

   Identify the cited sources driving AI mentions

   Analyze which websites, articles, or reviews the AI models reference. Prioritize those domains for content optimization or outreach.

5. 05

   Compare AI responses to the client's owned content

   Check whether the client's own site, blog, or press releases appear in citations. If not, note gaps in content depth or schema markup that may prevent AI retrieval.

6. 06

   Compile a remediation report with prioritized fixes

   Deliver a document that lists each flagged issue, the affected platform, and a recommended action, such as publishing a corrective article, updating a page, or requesting a review removal.

7. 07

   Schedule a re-audit within 30 days

   AI models update frequently, so re-run the same queries after fixes to measure improvement and catch new hallucinations early.