Getting AI to Audit Your Website

AI hugely speeds up scanning a website’s technical SEO, speed, and content issues and summarizing them in plain language. But it isn’t a magic crawler: it can’t visit the site and take measurements on its own. There’s no data for AI to interpret until you provide the raw report from a tool like Google PageSpeed Insights or Search Console. The real value of the work shows up in turning that raw data into a prioritized, understandable action list.

What Issues It Can Detect

When you ask the right question with the right raw data, AI usually produces clear findings in four categories:

• Page speed issues — uncompressed or oversized images, missing browser cache settings, render-blocking CSS/JS files. Give it the “Recommendations” section of a PageSpeed report and AI will rank them by priority.
• Basic SEO gaps — missing or duplicate title/description tags, broken internal and external links, unindexed pages. Search Console’s “Coverage” report is the raw data for this category.
• Content issues — thin pages under a few hundred words, articles untouched for years, discontinued products or stale pricing information.
• Mobile compatibility — buttons with touch targets too small, tables or images that overflow on mobile, a missing viewport setting.

You can take the same raw-data-plus-AI method outside your own site too — for example, as I describe in How to Do Competitor Analysis With AI, you can pull the same reports for competitor sites and compare them.

Step by Step: From Raw Data to an Action List

This process is part of the broader AI Automation Guide; here I’m focusing only on the audit side.

1. Pull the raw data. Paste your page URL into Google PageSpeed Insights, or open the “Page Experience” and “Coverage” reports in Search Console. Copy the report text or a screenshot.
2. Ask AI. Paste the raw data and ask: “What are the 5 most critical issues in this data, ranked by importance?” Just saying “summarize this” isn’t enough — asking for a priority order is essential.
3. Have it translated into plain language. Add “explain this to a business owner who doesn’t know code.” Instead of “LCP is 4.2 seconds,” AI will phrase something like “your main image takes 4 seconds to load, during which a significant portion of visitors leave the site.”
4. Turn it into an action list. Ask “for these 5 issues, who should do what, and roughly how long will it take” to get a task list — one falls to the developer, one to the content team, one lands directly on you.

What AI Can’t Do

Honesty is part of this work, so I need to avoid overselling:

• It can’t crawl the site on its own. You have to provide the raw data; AI only interprets what’s given. Saying “audit my site” isn’t enough, a report is needed first.
• Some fixes still need an expert. Technical interventions like a server setting, a CDN configuration, a theme/plugin conflict need a developer; AI can tell you what needs to be done but usually can’t implement it itself.
• The priority ranking doesn’t know your business. AI might treat the largest numerical deviation in the dataset as “critical” — but if that page is an archive page getting 10 visitors a month, that’s not really your priority. Always filter the ranking through your own business context.

Also, this kind of audit focuses on traditional SEO; visibility in AI search engines (like ChatGPT, Perplexity) is a separate matter — see What Is GEO, Difference From SEO.

A Real Example: An AI-Accelerated Audit

A few months ago I sped up a speed audit on a client site with this method: I gave the PageSpeed report to AI, asked for the “5 most critical issues”; the resulting list was unused font files, a very short cache lifetime, and images that weren’t lazy-loaded. I went through a similar round on my own site — with AI-assisted analysis I noticed the first load with an empty cache went up to 19.6 seconds, cut unused Google Font files, and extended the cache lifetime from 10 hours to 7 days. The audit and prioritization part took minutes with AI; the actual code and server-side implementation was still done by my own hand.

You Can Ask Me for This Work

You can ask me for this: I’ll run the whole process of collecting raw data, prioritizing it with AI, and turning it into an actionable list. Typically a 2 hours to 2 weeks job, fully remote and billed hourly. Check out my technical SEO audit service or write directly.

Frequently Asked Questions

Can AI crawl and audit my website on its own?

No. AI doesn’t have the ability to visit a website and take measurements. You first need to get raw data from a tool like Google PageSpeed Insights or Search Console, then give that data to AI. AI interprets and prioritizes, it doesn’t collect data.

Which tools should I get raw data from?

Google PageSpeed Insights (speed) and Google Search Console (indexing, clicks, coverage errors) are enough to start. If you have an SEO plugin like Rank Math, you can add its report too.

Should I fully trust the priority order AI suggests?

No, only partially. AI prioritizes the biggest technical deviation in the dataset, but it doesn’t know which page your traffic actually comes from or which page drives conversions. Compare the ranking against your own business context and make the final call yourself.

How often should I repeat this audit?

Every 3-6 months is enough for a small, static site. If you’re actively producing content or have high ad traffic, a monthly round prevents small issues from piling up.