AI Citation Source Audit (Delivery)

AI Citation Source Audit (Delivery)

1. 01

   Define the client's core brand and product queries for AI platforms

   Compile a list of 10 to 20 prompts that mirror how buyers ask about the client's offerings, including competitor comparisons and category questions.

2. 02

   Run the query set across major AI search engines

   Execute the prompts on ChatGPT, Perplexity, Gemini, and at least one other platform such as Claude or Copilot, recording the full response text for each.

3. 03

   Extract every source citation from each AI response

   Identify which domains, articles, or datasets the AI references, noting whether the client's own site appears and how prominently it is positioned.

4. 04

   Score visibility and sentiment for each client mention

   Classify each appearance as positive, neutral, or negative, and assign a visibility score based on whether the client is named, described, or merely implied.

5. 05

   Compare client citation share against two or three direct competitors

   Run the same query set for competitors to establish a baseline, then calculate the client's share of voice in AI-generated answers.

6. 06

   Document citation gaps and content weaknesses

   Flag queries where the client is absent or poorly represented, and trace the cited sources to understand what content the AI favors.

7. 07

   Deliver a prioritized action list to the client

   Present the findings with specific content or technical recommendations, such as adding structured data, publishing authoritative guides, or earning mentions on high-citation domains.