AI Citation Source Verification (QA)

AI Citation Source Verification (QA)

1. 01

   Identify all AI models where the client brand appears

   Use a monitoring tool like LLM Pulse to scan ChatGPT, Perplexity, Gemini, and Google AI Overviews for brand mentions. Record which models cite the brand and which do not.

2. 02

   Extract the exact sources cited by each AI model

   For each mention, note the URLs or documents the AI attributes the information to. Cross-reference these with the client's owned content and known third-party sources.

3. 03

   Flag any hallucinated or misattributed citations

   Compare the AI's cited sources against actual content. If the AI references a page that does not exist or misrepresents the content, mark it as a hallucination.

4. 04

   Assess sentiment and accuracy of each brand mention

   Classify each mention as positive, neutral, or negative. Verify factual claims (e.g., pricing, features, reviews) against client-provided data.

5. 05

   Document the gap between brand recognition and AI visibility

   Note if the brand is recognized but never appears in answers, referencing the 89% exclusion rate found in Q2 2026 research.

6. 06

   Prioritize corrections based on traffic and trust impact

   Rank hallucinations or negative mentions by the estimated reach of the AI model and the severity of the error. High-traffic models like ChatGPT get top priority.

7. 07

   Deliver a verified citation report to the client

   Include a summary of all AI mentions, flagged issues, and recommended actions. Attach screenshots or logs as evidence.