Services

Technical SEO and Indexing for JavaScript Applications and Modern Front Ends

This is for React and Next.js sites where Google is crawling pages but not indexing them, rendered HTML is too thin, or metadata and crawl signals no longer match what search engines need.

Engineeringled SEO work for JavaScript sites where rendering, crawlability, metadata, or migration changes are keeping important pages out of search.

Short Answer

Your JavaScriptbased website may look fine in the browser, but search engines can still be seeing thin HTML, late links, unstable metadata, or confused canonical signals. I check whether important JavaScript pages can be discovered, rendered, understood, and indexed through crawl analysis, indexation debugging, rendered HTML checks, JavaScript SEO review, Core Web Vitals investigation, structured data validation, canonical signal checks, metadata fixes, and internal link analysis, then turn the findings into engineering fixes rather than a detached SEO report.

Why It Matters

When commercial performance depends on indexable JavaScript pages, I focus on the rendering, crawl, metadata, and migration decisions that protect search visibility and revenue.

Where This Fits

  • Rendering, crawlability, metadata, canonical, and sitemap diagnostics.
  • SEO risk review during platform migrations and redesigns.
  • Engineering changes that preserve discoverability after launch.

What I Look at First

The first pass compares rendered HTML, indexable content, metadata, canonicals, internal links, sitemap and robots signals, crawl behaviour, Search Console data, and recent releases.

Common Engagements

  • Technical audits before a migration or rebuild.
  • Postlaunch recovery when traffic drops, pages disappear from Google, or indexation stalls.
  • Handson debugging with the existing engineering team.

What Usually Changes

  • Rendering, crawlability, metadata, canonical, sitemap, and schema faults are separated into fixable engineering concerns.
  • Affected routes, templates, content signals, and internal links are identified before changes are made.
  • Fixes are prioritised by search exposure, implementation risk, and release effort.
  • The team gets engineeringready actions rather than a detached audit deck.
  • Recovery or migration risk is reduced without promising rankings or traffic.

How This Usually Works

  1. Technical Diagnostic

    A focused review of affected routes, templates, deployment behaviour, crawl signals, CMS behaviour, performance bottlenecks, or code paths, followed by a prioritised fix plan the team can take into delivery.

  2. Recovery Sprint

    A short, concentrated engagement for a defined technical SEO, performance, CMS, Vercel, migration, or production issue where the business needs the cause isolated and the first fixes moved quickly.

  3. Embedded Delivery Support

    Senior handson support inside an existing team where architecture, implementation, review, and delivery judgement all matter, especially when the work cannot be handed over as isolated tickets.

This May Not Be the Right Fit If

  • You only need generic SEO content writing, keyword reporting, or a crawl export without engineering changes behind it. If search visibility is already damaged, Technical SEO Recovery and Debugging is the better route.
  • There is no appetite to inspect rendered HTML, routing, metadata, canonicals, or deployment behaviour as part of the fix. If the problem is a specific rendering or indexing fault, JavaScript SEO Rendering and Indexing Fix may be more useful.

Talk to me about your recovery

A short description of the affected route, Search Console signal, or production symptom is enough. I'll read it and suggest the next step.

Related Case Studies and Project Work

  1. Screenshot of the John Lewis website; part of John Kavanagh's selected project work.

    The Optimisation and Rebrand of johnlewis.com

    On John Lewis, frontend optimisation work on a hightraffic retail platform had to protect searchvisible commercial pages while the brand changed.

    View case study
  2. Screenshot of the Nando’s website; part of John Kavanagh's selected project work.

    A Complete Migration and Replatform for Nando’s

    On Nando’s, the migration tied structured data, restaurantpage improvements, local discovery, and measurable search uplift into one Next.js and Vercel delivery.

    View case study