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Technical SEO and Indexing for JavaScript Applications and Modern Front Ends

This is for JavaScriptheavy sites that need search visibility protected before the problem becomes a recovery job. The page may look complete to users whilst crawlers, indexation systems, and AI retrieval tools receive weaker evidence.

Preventative, engineeringled SEO for React and Next.js sites where rendered HTML, indexable text, metadata, canonicals, links, structured data, and AI extractability have to be reliable before visibility is damaged.

Short Answer

A React or Next.js page can look complete in the browser whilst crawlers receive thin HTML, delayed links, unstable metadata, weak entity signals, or canonical instructions they cannot trust. I check what the rendered page exposes, how it is discovered, and whether the CMS and codebase can keep those signals stable. "Google can render JavaScript" is not enough evidence, but neither is a full rebuild the automatic answer.

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

  • Rendered HTML, indexable text, metadata, canonical, structured data, sitemap, robots, and internallink diagnostics.
  • Preventative SEO and GEO risk review before migrations, redesigns, CMS changes, or JavaScriptheavy templates ship.
  • Engineeringready fixes that preserve discoverability, extractability, and content signals after release.

What I Look at First

Common Engagements

  • Technical audits before a migration, redesign, or template change reaches production.
  • Renderedoutput investigations where pages are discovered, but not indexed or not understood consistently.
  • Handson remediation with the engineering team so SEO fixes survive routing, CMS, schema, and release constraints.

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.

Get in touch about the 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 whilst 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