Implementation-first technical SEO for indexing, crawl, speed, Cloudflare, migrations, and SEO ops systems
Implementation-first technical SEO for indexing, crawl, speed, Cloudflare, migrations, and SEO ops systems.
Most projects sit in WordPress or mixed-stack environments where the real fix lives in redirects, templates, cache, routing, rendering, or rollout behavior, not in another generic audit.
Direct with Niko. No agency handoff. One bounded sprint at a time.
Clear scope. Implementation-first. Written verification.
Best fit
Selected proof
Public proof on this site is strongest in SEO ops, crawl/index cleanup, and WordPress technical execution. Broader stack work is real, but I only surface it publicly when the example is clean to show.
Proof note
Built a live multi-site SEO command center across three sites using SEMrush, GA4, GSC, ClickUp, Zapier, and Looker. The first sync layer later had to be rebuilt so the backlog stayed aligned with the live audit state instead of dropping items between runs.
Proof note
Handled a selective crawl and index cleanup where the client explicitly wanted safe fixes only: no blanket redirects, no mass cleanup, and no broad changes without approval. The work focused on priority URLs, crawl waste, canonical conflicts, internal linking, and a clear action path.
Proof note
Executed a defined WordPress technical SEO brief involving redirect imports, internal 404 cleanup, WP-CLI and database replacements, sitemap checks, canonical review, and structured 404 or 5xx investigation with written proof after each task.
Additional implementation examples
Not every implementation example belongs in the public proof stack for a technical SEO site. Some work sits in verticals that are not a fit for a general B2B homepage, so the public version stays anonymized and focused on the engineering layer: routing, taxonomy, filters, archive behavior, discovery flow, and large content footprints.
Private example
Built Laravel and Vue application work around searchable directory-style browsing where users move through location and category paths quickly without losing context. The real complexity sat in taxonomy shape, browse paths, internal relationships, and keeping large inventories usable.
Private example
Built archive-style discovery flows around featured items, latest entries, related paths, and tag pages so users can keep opening the next relevant page fast instead of falling into generic archive clutter or dead-end browse paths.
Private example
Worked on large catalog structures with heavy tagging, multilingual UI, and filter-driven browsing. The important work sat in routing, page generation, taxonomy consistency, and keeping the system usable at scale.
Direct references are shared privately when the context is relevant and the vertical is appropriate.
What I usually fix
Service sprint
TTFB, LCP, INP, caching, CDN behavior, rendering bottlenecks, heavy scripts, and implementation-level speed issues.
Service sprint
Robots, sitemaps, canonicals, duplicates, noindex conflicts, crawl waste, internal linking paths, and GSC cleanup.
Service sprint
403 or 1020 errors, WAF rules, bot handling, SSL or DNS issues, cache behavior, origin communication, and crawl conflicts.
Service sprint
Redirect gaps, canonical mistakes, sitemap problems, rollout regressions, broken templates, and recovery after launches.
Service sprint
Multi-site SEO command centers connecting SEMrush, GSC, GA4, ClickUp, dashboards, sync layers, weekly SOPs, and execution-friendly issue routing.
How work starts
Step 1
A short description, site URL, stack or CMS, what changed, and what looks broken.
Step 2
Clear scope, clear deliverable, and a verification path before implementation starts.
Step 3
The sprint is meant to move the actual bottleneck, not just expand the theory around it.
Step 4
What changed, what was verified, and what should happen next if more work is needed.
Implementation range
Most public proof here is WordPress and mixed-stack execution. The work usually sits in indexing, crawl, speed, Cloudflare, migrations, and SEO ops systems. When the failure path lives in routing, rendering, deployment, or cache behavior, the same implementation-first approach can extend into Laravel, Next.js, Shopify, and private custom environments.
CMS & commerce
WordPress, WooCommerce, Shopify
Theme, plugin, template, redirect, and rollout issues that affect visibility or speed.
Edge & access
Cloudflare, cache, SSL/DNS
WAF rules, cache behavior, bot access, origin communication, and crawl conflicts.
App layer
Laravel, Next.js
Routing, rendering, middleware, deployment, and response-time issues where the app is the bottleneck.
Ops & reporting
SEMrush, GSC, GA4, ClickUp, Looker
Issue visibility, task routing, dashboards, and handoff systems that keep SEO work actionable.
Custom stacks
Implementation-first work across mixed environments
Best fit when search, speed, access, or migration problems cut across more than one layer.
Notes, fixes, and breakdowns
On Laravel, Next.js, and mixed-stack sites, the failure often sits in routes, middleware, rendering, or environment behavior before it sits in titles, schema, or meta descriptions.
After a migration, this coverage state usually points to structural conflicts in templates, canonicals, internal links, or sitemap quality before it points to content quality.
Most SEO systems do not fail because nobody can find problems. They fail because the problems never turn into the right next action.
Final CTA
Send the URL, what changed, and what looks wrong. If the issue is bounded enough, the first reply should suggest a clear sprint instead of a vague SEO package.