AI Visibility Audit (QA)

AI Visibility Audit (QA)

1. 01

   Query each client brand name across three AI answer engines.

   Use ChatGPT, Google AI Mode, and Perplexity to search for the client's brand and top product terms. Record whether the brand appears in any generated answer.

2. 02

   Document every factual inaccuracy found in AI responses.

   For each false or misleading fact, note the exact AI output, the correct information, and the source engine. A 64% inaccuracy rate in local data means most clients have errors.

3. 03

   Compare AI citation frequency against organic search rankings.

   Pull the client's top 10 organic pages from a rank tracker like SE Ranking or Sitechecker. Check if those same pages are cited in AI answers. Content that ranks but is not cited needs structural reformatting.

4. 04

   Identify gaps in direct, citable answers to top customer questions.

   List the 5 most common customer questions from sales or support. If the client's site lacks a clear, data-backed answer to any of them, flag it as an AEO content gap.

5. 05

   Audit YouTube presence and map video assets to top written content.

   Google AI Overviews now pull video content. For each major client, check if they have a YouTube channel and whether existing videos cover the same topics as their top-ranking blog posts.

6. 06

   Verify local business data across Google, Apple Maps, and Bing.

   Use a tool like SEOptimer or manually check name, address, phone, hours, and categories. AI Overviews dominate local searches, so incorrect data directly harms visibility.

7. 07

   Score each client page against AI citability criteria.

   Criteria include: specific answers (not generic), named sources, verifiable data points, and structured formatting (lists, tables, bold key terms). Pages scoring below 3/5 need revision.