A content audit is a systematic assessment of all pages on a website, with the goal of determining which content performs well, which needs improvement and which pages are better removed or merged.

An audit looks at metrics like organic traffic, ranking positions, click-through rates, bounce rates and conversions. But also at qualitative factors: is the information still accurate? Does the content match the current search intent? Is the page distinctive from competitors? This combination of data and context determines what you do with a page.

A content audit starts with exporting data: a crawl of your website, export data from Google Search Console and potentially data from Google Analytics. That combination can contain hundreds or thousands of rows. AI can help summarise, categorise and prioritise that data.

You can ask an AI model to create a provisional classification based on traffic and ranking data: well-performing pages, moderately performing pages and poorly performing pages. This gives you a starting point for the audit without having to assess every row manually.

AI can help recognise content that is likely outdated. Enter the page title, publication year and URL, along with a brief description of the content topic, and ask the model to assess whether the topic is time-sensitive. Statistics, legislation, product information and market overviews date quickly. Evergreen how-to content does not.

Be aware: AI does not automatically know the current state of your specific niche. Use it as a first filter, not as a final verdict. Verify yourself whether the information on the page is still accurate.

A page can be technically correct but still underperform because the search intent of the target keyword has changed. What Google wanted to show for a particular query three years ago may be different today.

AI helps you quickly assess whether the current structure of a page still matches what the SERP shows. Compare the current layout of the page with an analysis of the current top-10, and identify the gap. That gives direction to the adjustments needed.

Not every underperforming page has the same solution. There are broadly four options: improve, consolidate, redirect or remove.

AI can help structure that decision. Provide the model with a page's metrics, the search intent, the presence of competing internal pages and the strategic relevance to your business. Based on that, the model can make a recommendation. But the final decision is yours, because strategic context cannot be fully transferred to AI.

If you have a large website, it helps to create a standardised audit template. Define which data points you want to collect for each page and which questions you want to ask an AI model per page. Process the output into a spreadsheet with a column for the recommended action.

This makes the audit scalable. Instead of assessing every page individually, you build a process you repeat for each content category. Mach8 helps organisations set up these kinds of structured audit processes.

An audit is only valuable when action follows. Based on the prioritisation, create an update plan with concrete deadlines. Which pages do you tackle first? Who is responsible? What is the desired outcome?

AI can help write improved versions of underperforming pages based on the audit findings. Use the gap analysis as input for the rewrite instructions.

An AI-assisted content audit saves time in data processing and initial categorisation, but does not replace human judgement on strategy and quality. The combination of data-driven analysis and subject matter expertise leads to the best audit results.

Want to know how Mach8 approaches content audits and update processes for organisations with large content volumes? View our SEO content service or get in touch.