AI Visibility Audit for Client Retainers (Onboarding)

AI Visibility Audit for Client Retainers (Onboarding)

1. 01

   Identify the client's top 10 revenue-driving keywords and map them to current content assets.

   Pull the list from the client's existing rank tracking or keyword research tool, then cross-reference each keyword with the URL that currently targets it. This establishes the baseline for AI visibility testing.

2. 02

   Query three major AI platforms with the client's brand name and each target keyword.

   Use ChatGPT, Google AI Mode, and Perplexity to ask for recommendations or answers related to the client's products or services. Record whether the client is mentioned, recommended, or completely absent in each response.

3. 03

   Document every factual inaccuracy or hallucination found in AI responses about the client.

   For each query, note any wrong addresses, phone numbers, product claims, or outdated information. A recent study found that 64% of local business listings contained at least one false fact in AI answers, so expect to find errors.

4. 04

   Score the client's AI visibility using a simple 0-100 rubric based on mention frequency and recommendation rate.

   Assign points for being mentioned, being recommended, and being cited as a source. This score becomes the baseline KPI for the retainer and is tracked monthly.

5. 05

   Compare the client's AI visibility score against their traditional Google ranking position for the same keywords.

   A client ranking #1 in Google but absent from AI recommendations reveals a gap that requires a different content strategy. This comparison highlights where the retainer should focus.

6. 06

   Identify content gaps that prevent AI platforms from citing the client as an authoritative source.

   Look for missing direct answers, lack of named sources, or absence of verifiable data points on key pages. AI systems favor content that provides specific, citable facts.

7. 07

   Create a prioritized action plan that addresses the most critical AI visibility gaps first.

   Rank fixes by impact and effort, starting with the highest-traffic keywords where the client is invisible in AI answers. Include quick wins like updating NAP data and longer-term projects like building entity authority.