Content Audit

A content audit is a systematic review of all the content on your website, measuring how each page performs so you can decide what to keep, update, consolidate or delete. It turns a sprawling, aging site into a deliberate library where every page earns its place.

Done well, a content audit recovers lost traffic without publishing a single new article. This guide shows how to perform a content audit step by step, with a template and a worked example. It is the content layer of our complete SEO audit guide, and it pairs with the technical SEO audit for full-site coverage.

What is a content audit?

A content audit is the process of cataloging every URL on your site, attaching performance data to each one (traffic, rankings, backlinks, conversions), and judging whether it still earns its place. The output is an action plan that assigns every page a fate: keep, update, consolidate-and-redirect, or delete.

Why content audits matter

Content decays. Pages that ranked two years ago slip as information goes stale and competitors improve. A content audit catches that decay, removes thin or duplicate pages that dilute your authority, and concentrates link equity on the pages worth ranking. Pruning weak content can lift the performance of what remains, because Google judges site quality partly at the domain level.

Content audit vs content inventory

The inventory is step one of the audit. You cannot evaluate content you have not catalogued.

How to do a content audit step by step

Step 1: Build your content inventory

Start by listing every URL. Crawl the site with Screaming Frog (or export from your CMS) to pull every page into a spreadsheet in Excel or Google Sheets. Record the URL, title, content type (blog post, landing page, category page), publish date and word count. This content inventory is the backbone of the whole audit.

Step 2: Gather performance data

Next, attach data to each page. Pull organic traffic and engagement from Google Analytics 4, impressions, clicks and average position from Google Search Console, and rankings plus backlinks and referring domains from your SEO tool. Add the HTTP status code (200 versus 404) and, increasingly, any LLM referral traffic or AI citations the page is earning. Now every row tells a story.

Step 3: Analyze each page

With data in place, judge quality and overlap. Check search intent (does the page match what the query wants?), content depth and E-E-A-T signals, and run a technical check for crawlability, indexability and status codes. Flag keyword cannibalization (two pages competing for the same query) and content gaps (topics your audience searches that you have not covered). These three lenses, quality, cannibalization and gaps, drive most of your decisions.

Step 4: Decide each page's fate

Assign every page one of four actions using a simple matrix.

Step 5: Build the action plan and measure

Turn decisions into a prioritized to-do list, ordered by impact versus effort, and get stakeholder buy-in before deleting or redirecting at scale. Ship the changes, then measure: track organic traffic, rankings and conversions over the following weeks so you can prove the audit worked and spot anything that slipped.

Content audit template and checklist

• Inventory: URL, title, type, date, word count
• Data: organic traffic, impressions, clicks, position, backlinks, status code
• Analysis: intent match, quality/E-E-A-T, cannibalization, content gap
• Decision: keep / update / consolidate-redirect / delete
• Action: owner, priority, due date, result measured

Auditing content for AI search

To audit content for AI search, check whether each page answers its core question in the first sentence or two, uses clean headings, lists and tables a model can lift, and carries clear author and source signals. AI engines like ChatGPT, Perplexity, Gemini and Google AI Overviews cite content they can read quickly and trust, so structure and directness matter as much as depth.

Add these questions to every page you evaluate: does it lead with a direct answer, is the key fact extractable without reading the whole page, and is the topic covered completely enough that an AI fanning out into sub-questions finds its answers here? Pages that fail these are invisible to answer engines even when they rank in classic search. This is the generative engine optimization layer, covered fully in our AI SEO guide.

Using AI to run the audit faster

AI also speeds up the audit itself. Use it to cluster your inventory by topic, score pages for intent match and readability at scale, and flag thin or outdated content for review. What took a week of manual reading becomes an afternoon of judgment on top of AI-prepared findings. Members do exactly this with DataWise, which bulk-audits content and surfaces the pages worth your attention first.

Content audit tools

The core content audit tools are free or familiar: Screaming Frog to build the inventory, Google Analytics 4 and Google Search Console for performance data, and a spreadsheet in Excel or Google Sheets to score and decide. Paid SEO suites add rankings and backlink data per URL. For the wider toolset, see the SEO audit tools comparison.

Inside the community, DataWise runs the bulk content audit for you, scoring every page and returning a prioritized keep/update/consolidate/delete list that includes AI-citation readiness. It is free for members.

Run your content audit with the community