Top 10 Technical SEO Fixes You Can Automate with AI

Note: “AI automation” here means using smart crawlers, LLM-assisted validators, and rule-based scripts to detect issues and propose or apply fixes. We still recommend human review for sensitive templates.

1) Core Web Vitals (LCP, INP, CLS)

What it is: Google’s UX metrics for load speed, interactivity, and visual stability.

Automate with AI: Pull real-user field data (CrUX), have an AI agent correlate slow LCP elements (hero images, above-fold JS) and propose fixes (preload key assets, compress/resize hero, critical CSS extraction). Generate per-template optimisation tickets.

• Quick win: Preload the largest above-the-fold image, inline critical CSS, lazy-load below-the-fold images.

2) JavaScript Defer/Async & Render-Blocking

Pain: Blocking JS/CSS delays first paint.

Automate with AI: AI classifier groups scripts by dependency and safely applies defer/async to non-critical assets. It can also suggest splitting vendor bundles and moving non-essential scripts to post-interaction load.

<script src="/assets/app.js" defer></script>

3) Crawling & Indexing Controls

Goal: Prevent index bloat and direct bots to revenue pages.

Automate with AI: AI detects thin/duplicate/system pages, recommends noindex or canonicalisation, and validates robots.txt rules vs live coverage.

Disallow: /search?
Disallow: /cart
Noindex: faceted URLs (append meta robots via template logic)

4) XML Sitemaps & Coverage

Automate with AI: Diff live URLs vs sitemap entries, remove 404/redirected items, and split large sitemaps into logical sets (products, posts, locations). AI can schedule resubmits when significant diffs appear.

5) Redirect Health & Canonicals

Automate with AI: Crawl for chains/loops, enforce 301 over 302 where permanent, and verify canonical tags match final destination. AI proposes a bulk .htaccess / Nginx ruleset patch.

6) Structured Data (JSON-LD)

Automate with AI: Generate schema per template (Article, Product, LocalBusiness, FAQ). Validate against the Rich Results Test patterns and your content fields. AI can flag missing required/“recommended” properties.

<script type="application/ld+json">{ "@context":"https://schema.org","@type":"FAQPage", "mainEntity":[...] }</script>

7) Image Optimisation (Format, Size, ALT)

Automate with AI: Convert to next-gen (WebP/AVIF), resize to container width, add descriptive ALT from captions, and lazy-load. AI can map ALT patterns to product titles/categories safely.

8) Internal Linking & Orphan Pages

Automate with AI: LLM builds a topical map, identifies orphan/underlinked URLs, and proposes internal links using anchor text variations. Auto-inject links in non-sensitive templates, queue manual review for money pages.

9) Security & Protocol (HTTPS, HTTP/2, HSTS)

Automate with AI: Verify TLS, mixed-content issues, and HSTS policy. Suggest CSP baseline and flag insecure third-party assets that block performance.

10) Server Logs & Crawl Budget

Automate with AI: Parse access logs to see where Googlebot spends time. Identify parameter traps, infinite calendars, or filters wasting crawl budget. Propose disallow rules or canonical strategies.

What AI Should Fix vs. What Humans Should Review

90-Minute AI Technical SEO Sprint (Checklist)

1. Run AI audit: CWV, blocking JS/CSS, index bloat, sitemap diffs.
2. Auto-patch: lazy-load images, next-gen formats, defer non-critical JS.
3. Apply schema templates (Article/Product/FAQ/Local).
4. Generate internal link plan for top 50 revenue URLs.
5. Validate with a second crawl and field data snapshot.

FAQs

Is AI-generated schema safe?

Yes, if it mirrors the page content and passes Google’s structured data guidelines. We validate before publishing.

Will deferring scripts break features?

AI groups scripts by dependency to minimise risk. We still test key templates before global rollout.

How quickly can we see gains?

Technical fixes can improve CWV and crawlability within days; rankings typically respond as Google recrawls (2–8 weeks).