AI Visibility Audit and Remediation (QA)

AI Visibility Audit and Remediation (QA)

1. 01

   Inventory client content by topic cluster and flag clusters with fewer than five substantial pieces

   Use the platform's content mapping or export to group pages by topic. Clusters below the threshold are citation risks in AI overviews.

2. 02

   Run an accessibility tree audit on key pages using Chrome DevTools

   Check heading structure, ARIA labels, and landmark roles. AI overviews intercept clicks, so click-worthiness now matters more than rank position.

3. 03

   Verify that pricing, feature comparisons, and use-case descriptions are machine-readable

   Avoid gated PDFs or image-based content. Forrester reports 88% of B2B marketers face foundational gaps as AI agents reshape buyer discovery.

4. 04

   Test how ChatGPT, Claude, and Gemini describe the client's brand

   Use a monitoring tool like Pallix or manually prompt each model. Track recommendation share and flag any negative or missing mentions.

5. 05

   Identify direct, citable answers to the client's top customer questions

   AEO draws higher-intent traffic than traditional search. Prioritize pages that answer direct questions with concise, structured responses.

6. 06

   Check for Top Stories inclusion opportunities in AI Overviews

   Editorial content now competes for visibility inside AI Overviews. Audit whether the client's newsroom or blog can target this placement.

7. 07

   Document findings and prioritize fixes by impact and effort

   Deliver a remediation roadmap to the client, separating quick wins like schema markup from structural changes like content cluster expansion.