Services

Technical SEO, programmatic SEO, TypeScript implementation, AI-assisted automation, and performance work for Next.js websites.

About

India-based Next.js Technical SEO Engineer specialising in programmatic SEO, AI-assisted automation, and web performance for remote teams worldwide.

Tools

Technical SEO, programmatic SEO, TypeScript implementation, AI-assisted automation, and performance work for Next.js websites.

Writing

Technical SEO, programmatic SEO, TypeScript implementation, AI-assisted automation, and performance work for Next.js websites.

AP / ServicesRemote / India

Programmatic SEO

Programmatic SEO built around useful pages and sound data

I test whether a page set answers a distinct need, trace each output to usable source data, then build the template and release controls around that standard.

Discuss your project
01

A good fit when

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Plan and build useful page sets from structured data. Work can include TypeScript schemas, source provenance, duplicate detection, reusable templates, content-quality gates, and a controlled release pipeline.

  • A repeatable search need maps to a defensible set of page types
  • You have useful proprietary or curated data that can support distinct pages
  • A growing location, category, comparison, or integration library needs better governance
  • Existing templated pages are thin, duplicative, or difficult to maintain
02

What you get

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01

A validated page model

A mapping from distinct user intent to page fields and source records, including data provenance, coverage gaps, duplication rules, and combinations that should not ship.

02

A typed template system

TypeScript data contracts and reusable route templates with clear URL, canonical, metadata, and internal-link behavior. Missing or stale source values have explicit fallbacks rather than invented filler.

03

A release and maintenance pipeline

Validation gates for record quality, duplication, page eligibility, sitemap inclusion, updates, and retirement, with a reviewable process before expanding the page set.

03

How the work moves

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  1. 01

    Validate intent and source data

    Map a proposed page to a real user task, inspect the source and its provenance, and identify records that are incomplete, duplicate, or too similar to justify separate URLs.

  2. 02

    Build the typed page system

    Define TypeScript schemas, transformations, templates, route and canonical rules, internal links, and release checks before scaling generation.

  3. 03

    Release in controlled cohorts

    Publish a representative set, verify rendered output and sitemap membership, review quality and available search evidence, then expand only where the checks remain useful.

04

Relevant capabilities

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Intent-to-page mappingTypeScript data schemasSource provenanceDuplicate and near-duplicate detectionNext.js route and template generationCMS/API data pipelinesContent quality gatesCanonical and internal-link rulesSitemap release controlsIncremental deployment and retirement
05

Common questions

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Can every data combination become a page?

Usually not. Pages should be published only when data coverage and user value are strong enough to create a distinct, useful answer.

How do you prevent thin or duplicate pages?

Define required data and uniqueness checks before release, then keep incomplete, redundant, or low-value records out of published routes and the sitemap. Automated checks support editorial review; they do not replace it.

Can this be built in Next.js?

Yes. I can design route generation, metadata, canonical behavior, sitemaps, and build or runtime data fetching around the chosen publishing model.

Have a defined brief, or just a stubborn problem?

Let's work out the right next move.

Start a conversation rawat@apnatva.dev