
<Image src="seo.jpg" alt="Ahrefs SEO audit dashboard showing website health score and issues" priority={true} />

I've been putting off an SEO audit of my blog for months. With **30+** articles and **20+** code snippets, the task felt overwhelming. Reviewing each meta description, checking for broken links, validating alt text — it's the kind of work that's *easy to procrastinate* on indefinitely.

Then I tried something different: I used AI as my editorial assistant. In a single afternoon, I audited and improved **56 files**. Here's how it went.

## The Boring Work Nobody Wants to Do

Let's be honest — SEO maintenance is *boring*. It's not the exciting part of running a developer blog. You know you should do it, but there's always something more interesting to work on.

My blog had accumulated typical SEO debt over time. Generic meta descriptions that said nothing specific, like "Learn about X" instead of actual summaries. Broken external links because MDN reorganized their docs and Git changed their download URL. Empty alt attributes on images where I'd rushed through posts and left `alt=""`. The usual mess.

Fixing this manually would mean opening each file, reading the content, rewriting descriptions, and validating every link. For 56 files? That's a full weekend I'd *never* actually spend.

## Teaching AI What I Need

The key insight was treating AI not as a magic "fix everything" button, but as a *focused assistant* with clear constraints. I use [Cursor](https://www.cursor.com/) as my editor, and it supports [project-specific rules](https://docs.cursor.com/context/rules) — markdown files that act as persistent instructions for the AI.

I created a rules file (`.cursor/rules/seo.mdc`) that defined exactly what I needed:

```markdown
SEO responsibilities:
- Propose 2–5 realistic, developer-focused keyword phrases for each article
- Suggest an SEO-friendly title (50-60 characters) and meta description (110-160 characters)
- Naturally integrate the main keyword into title, first paragraph, and conclusion
- Never sacrifice clarity or honesty for SEO
```

This file acts as persistent context. Every time the AI reviews an article, it knows who I am (a senior software engineer), who my audience is (developers from junior to senior level), my writing style (conversational, direct, technical), and what to avoid (inventing experience, adding buzzwords, breaking code).

That last constraint — *"never sacrifice clarity for SEO"* — is crucial. I've seen AI-generated content stuffed with keywords that reads like garbage. That's not what I wanted.

## What the SEO Audit Found

<Image src="ahrefs-audit.png" alt="Ahrefs Site Audit results showing SEO issues to fix" />

**Before:**
```text
description: Polymorphism and Dispatch Tables in JS
```

**After:**
```text
description: Replace messy switch statements with dispatch tables in JavaScript. 
Learn this clean code pattern for handling multiple conditions with maintainable code.
```

The first one tells you nothing. The second *explains the benefit*, uses action words, and includes relevant keywords naturally.

MDN restructured their documentation URLs at some point too. Links that worked a year ago now 404. The AI flagged these:

```diff
- [CSS Grid](https://developer.mozilla.org/en-US/docs/Web/CSS/CSS_grid_layout)
+ [CSS Grid](https://developer.mozilla.org/en-US/docs/Web/CSS/Guides/Grid_layout)
```

Same for Flexbox and other external resources. Small fixes, but broken links hurt both SEO and user experience.

Then there was alt text. In my React re-renders article, I had multiple images with *empty* alt attributes:

```diff
- <Image alt="" src="rerender.png" />
+ <Image alt="Diagram showing React component tree re-rendering when state updates" src="rerender.png" />
```

The AI suggested appropriate descriptions based on the surrounding content in seconds.

## Wrapping Up

The goal here isn't to automate away quality control. It's to make the tedious parts *fast enough* that you actually do them.

By the end of the afternoon: **56 files** updated, **50+ meta descriptions** rewritten, **6 broken links** fixed, **12 empty alt attributes** filled.


I used Cursor AI to audit SEO across 56 blog posts in one afternoon. Meta descriptions, broken links, and alt text — all fixed systematically.

I Ran an AI SEO Audit on 56 Blog Posts in One Day


Small tasks that we put off can accumulate and ultimately consume much more of our time and energy. One such small yet important task is unsubscribing from annoying email newsletters and notifications.

When you receive a new email with an unnecessary newsletter, it's better to decide to unsubscribe from it right away. Yes, it may take a couple of minutes, but in the future, you'll save yourself a lot of time and nerves by getting rid of constant distractions.

Just like with task automation: when you set up a project once, the time invested in that process will pay off in the future by reducing routine tasks and increasing productivity.

Don't forget that small tasks, if postponed, can turn into a big to-do list. And then you'll have to spend much more time and effort to deal with them. This can become a cause of procrastination and worsen your efficiency.

So, don't procrastinate unsubscribing from newsletters. Take a couple of minutes [[atomic habits](https://jamesclear.com/atomic-habits)] now and get rid of unnecessary distractions in the future.

To make it easier for you to deal with unnecessary newsletters and notifications, here are a few useful resources:

- **[Unroll.me](https://unroll.me/):** This service helps you quickly unsubscribe from multiple newsletters simultaneously, saving you time and effort.

- **[Mailstrom](https://mailstrom.co/):** Allows you to quickly and efficiently manage your email inbox by helping you sort and delete unwanted emails.


Stop letting unwanted emails pile up. Learn why unsubscribing from newsletters immediately saves time, reduces distractions, and keeps your inbox focused.

Opt-Out of Email Newsletters Now for a Clutter-Free Inbox

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SEO Audit with AI: 56 Posts, One Afternoon

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