Seven-Step Content Audit for Traditional and AI Search Performance
Conduct a seven‑step content audit to identify high‑performing, outdated, and missing content.
Define audit goal, scope, and gather performance data to start the audit.
Summary
A content audit is the process of analyzing existing content to measure performance and support business goals. The guide outlines a seven‑step audit that starts with defining a clear goal and success metrics, then scopes the audit to the relevant pages—usually the website or a specific section like the blog. Performance data is retrieved from Google Search Console, Google Analytics 4, LLM referral traffic, video rankings, and keyword rankings. The audit then evaluates content freshness, relevance, and AI visibility, identifies high‑performing pages to expand and low‑performing pages to update or remove, and consolidates all data into a template. It also includes a review of AI‑generated answers for inaccuracies and a plan to update content, add structured data, and monitor changes over time.
Key changes
- Define audit goal with specific outcomes (e.g., +20% organic traffic, +5% LLM referral traffic).
- Define scope: website, blog, product pages, or all owned media.
- Retrieve performance data from GSC, GA4, LLM referrals, video rankings, and keyword rankings.
- Analyze content freshness, relevance, and AI visibility to spot outdated pages.
- Identify high‑performing pages to expand and low‑performing pages to update or remove.
- Use a consolidated template to track metrics and gaps across all sources.
- Audit AI‑generated answers for inaccuracies and correct brand information.
- Update content, add structured data, and monitor changes over time.