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Technical SEO

Hire a Technical SEO Expert Who Finds What Tools Can't See

I don't run a crawl and hand you a spreadsheet of errors. I identify the architectural failures, crawlability blockers, and indexation issues that actually suppress your rankings. I deliver a prioritized roadmap and developer-ready tickets your team can act on immediately.

Crawl AuditLog File AnalysisBig Data AnalysisAI WorkflowsJIRA TicketsRoadmap Delivery

Client results

45+
Technical tickets delivered
DeepLogic: multi-brand audit
-90%
Daily crawl requests
Job platform: 500k → 50k

DeepLogic: organic pages and traffic after technical SEO roadmap

Ahrefs chart showing organic pages and organic traffic growth for DeepLogic after technical SEO work

What I find on most sites

Three problems your crawl report won't show you

01
Google stops crawling before it reaches your best pages

Every site has a crawl budget. On large sites, Googlebot burns through it on pagination, filter combinations, and parameter URLs it will never rank. Your core content gets crawled infrequently. New pages take weeks to get indexed. The crawl report shows nothing wrong.

02
Your own pages are competing against each other

When multiple pages target the same query, Google picks one to rank — rarely the one you'd choose. The others pull each other down. Cannibalization is invisible in a standard crawl but shows up immediately when you cross-reference ranking data the right way.

03
Your site structure is splitting authority instead of building it

Topics are scattered across the site with no internal link logic connecting them. Pages that should reinforce each other have no relationship. Google sees isolated pages instead of a site with genuine depth on a subject. Topical clusters fix this — but most sites don't have them.

I don't just do Screaming Frog

Automated crawlers flag the obvious: broken links, missing tags, slow pages. I find the issues underneath those: the ones actually deciding whether your pages rank or disappear.

Silent crawl budget depletion

Your pages look indexable. Google disagrees. Crawl budget is being consumed by faceted navigation, filter combinations, or URL parameters, leaving your most important pages crawled infrequently or not at all. No crawl tool surfaces this without log file data.

Internal architecture failures

PageRank is flowing to low-value pages while critical content sits deep in the site with minimal link equity. Invisible in a crawl report, devastating for rankings. I map exactly where authority concentrates and where it drains.

Duplicate content at scale

Large e-commerce stores and job platforms generate thousands of near-identical URLs through category paths, product filters, and location parameters. Google indexes the wrong versions, dilutes authority across duplicates, or stops crawling the section altogether.

JavaScript rendering gaps

Googlebot renders JavaScript partially or not at all. Content that looks perfect in the browser may be completely invisible to crawlers, particularly on React and Vue-built sites where critical elements are rendered client-side.

Real Googlebot behavior via log files

Screaming Frog simulates a crawl. Log file analysis shows what Googlebot actually did: which pages it crawled, how often, which it skipped, and where it timed out. The difference between these two datasets is where the real problems hide.

Orphaned content with no crawl path

Pages with no internal link path from the homepage. Google discovers them occasionally through sitemaps but never assigns meaningful authority. They exist in the index but never rank. No crawler report tells you why.

How I go further than the standard audit

Log file analysis: real Googlebot behavior, not simulated
Big data analysis for large-scale pattern detection across millions of rows
AI-assisted workflows identifying issues across thousands of page templates
Cross-referencing crawl data with Search Console coverage reports
Manual inspection of critical templates and URL structure logic
Competitor benchmarking on site architecture and indexation

How I approach the audit

Every engagement starts from scratch. I don't apply a generic checklist. I map the specific failure points on your site before building a fix plan that your development team can execute.

Step 01

Crawl & Log File Analysis

I run a full crawl alongside server log analysis to see what Googlebot actually visited, how often, and what it skipped — not what it should have done in theory.

Step 02

Site Architecture Review

I map how URLs are structured, how deep key pages sit, and where internal link equity is concentrating — including orphaned sections with no crawl path from the homepage.

Step 03

Indexability & Crawl Budget

I identify which URL patterns are consuming crawl budget without contributing to rankings, then build a plan to redirect Googlebot toward pages that matter.

Step 04

Duplicate & Thin Content

I surface the near-identical pages generated by filters, pagination, and parameter combinations that Google has either ignored or indexed in the wrong version.

Step 05

Technical Infrastructure

I audit rendering, page speed, schema markup, and redirect integrity — with a focus on issues that directly affect how Google processes and ranks your pages.

Step 06

Roadmap & Ticket Delivery

Every finding becomes a prioritized ticket ready for your development team, with the problem, solution, and implementation requirements written out in full.

What you actually receive

Not a PDF with generic recommendations. A structured roadmap and developer-ready tickets your team can implement without spending hours interpreting what the findings mean.

Technical SEO roadmap with prioritized tickets by impact, owner, status, and resolution date
SEO roadmap: every issue prioritized, tracked, and assigned, click to enlarge
Example JIRA ticket showing a technical SEO issue with description and implementation details
JIRA ticket: each issue documented with full context and solution code, click to enlarge
Detailed technical SEO ticket showing issue, examples, proposed solution, and implementation requirements
Ticket detail: problem, examples, solution, and dev requirements in one place, click to enlarge
SEO roadmap progress chart showing technical issues resolved month over month
Progress tracking: monthly view of completed tickets against the roadmap, click to enlarge

Deliverables included

Full technical SEO audit report
Prioritized implementation roadmap
JIRA-ready developer tickets
Log file analysis report
Crawl budget recommendations
Internal linking strategy
Schema markup implementation plan
Big data analysis (where applicable)
Search Console coverage audit
Monthly progress check-ins

Case studies: real results

Two different sites. Two different root causes. Both resolved with the same approach: find what's actually broken, fix it in the right order, and track the results.

Case Study 01: DeepLogic

Technical SEO Roadmap Across Multiple Brands: 45+ Tickets, Significant Indexation Increase

The Problem

DeepLogic's websites weren't being properly crawled by Googlebot. Certain brands faced recurring penalties in specific countries. Key pages weren't being indexed, and there was no structured process for identifying or fixing technical issues at scale.

What I Did

Built a comprehensive technical SEO roadmap across all brands and platforms. Starting with global metadata generation, followed by broken page resolution, site structure improvements, and Core Web Vitals fixes. Over 45 technical tickets created with full implementation specifications for the development team.

The Result

Significant increase in indexed pages across the targeted brand. Organic traffic grew alongside improved crawl coverage. The structured roadmap protected sites from future penalties and gave the team a repeatable process for ongoing technical health.

Ahrefs chart showing increase in organic pages and organic traffic for DeepLogic after technical SEO roadmap implementation
Ahrefs: organic pages and traffic growth following technical SEO roadmap implementation for DeepLogic
Case Study 02: Large Job Platform

Crawl Budget Optimization: 500,000 → 50,000 Daily Requests, Ranking Growth Across the Entire Site

The Problem

A large job platform was receiving 500,000 daily crawl requests from Googlebot. The site's architecture was generating millions of near-duplicate URLs through job category combinations, location parameters, and filter variants, consuming crawl budget while leaving the most important listing pages crawled infrequently.

What I Did

Conducted full log file analysis to map exactly which URL patterns Googlebot was hitting and how often. Used big data tooling to process crawl data at scale, identifying the parameter combinations driving the most waste. Restructured crawl directives, consolidated duplicate URL variants, and rebuilt the internal linking architecture to concentrate crawl equity on pages that matter.

The Result

Daily crawl requests dropped 90%, from 500,000 to 50,000. With Googlebot now focused on the right pages, the platform saw a significant uptake in rankings across the entire site, including substantial growth in TOP 3 keyword positions.

Organic keywords chart showing TOP 3 ranking growth on a large job platform following crawl budget optimization and technical SEO audit
Organic keywords in TOP 3 positions, growth following crawl budget optimization and site architecture restructuring

Technical issues I find and fix

From the common problems every audit catches, to the architectural failures most consultants never look for.

Standard technical issues
404 errors and broken internal links
Redirect chains and redirect loops
Duplicate and missing meta titles and descriptions
Missing or misconfigured canonical tags
Page speed failures and Core Web Vitals
Mobile usability and layout shift issues
Hreflang implementation errors
XML sitemap inaccuracies and coverage gaps
Robots.txt misconfiguration
Missing or incorrect schema markup
What most audits miss
Crawl budget depletion on large-scale platforms
Internal link equity flowing to the wrong pages
Faceted navigation generating millions of thin URLs
JavaScript rendering blocking content from Google
Log file analysis revealing real crawl behavior
Big data analysis for pattern detection at scale
AI-assisted audit workflows across thousands of templates
Site architecture restructuring for marketplaces and platforms
Orphaned content clusters with no internal link path
Dynamic content that is never properly indexed

Who this service is for

Technical SEO has the highest impact on sites where scale creates complexity. If your site generates URLs dynamically or has grown without systematic technical maintenance, the issues are likely significant and invisible in standard reports.

Large e-commerce stores with thousands of products
Job platforms and marketplace websites
SaaS products with complex web applications
Media publishers with large content archives
Enterprise websites with multiple brands or regions
Sites with unexplained indexation drops
Fast-growing sites with accumulated technical debt
Companies losing rankings without obvious on-page cause
Directors who need a clear fix plan, not another audit PDF
Development teams that need implementation-ready specifications
Sites that have had multiple SEO audits with no lasting improvement
Businesses preparing for major site migrations or redesigns

Frequently asked questions

What does a technical SEO audit actually cover?
A proper technical SEO audit covers crawlability, indexation, site architecture, internal linking, duplicate content, page speed, schema markup, redirect integrity, and log file analysis. Beyond the standard checklist, I look at how Googlebot actually behaves on your site, not just how it should behave based on a simulated crawl.
How is your approach different from running a crawler report?
Screaming Frog and similar tools simulate a crawl. They find broken links and missing tags. They do not tell you why Google is crawling the wrong pages, why your crawl budget is being wasted, or how PageRank is actually flowing through your site. I combine crawler data with log file analysis, big data pattern detection, and AI-assisted workflows to find what automated tools consistently miss.
What is crawl budget and why does it matter?
Crawl budget is the number of pages Googlebot will crawl on your site within a given period. On large sites like e-commerce stores, job platforms, and marketplaces, this budget gets consumed by low-value URLs generated by faceted navigation, filters, and URL parameters. When Googlebot spends its budget on these junk URLs, your important pages get crawled infrequently or not at all. Fixing crawl budget issues directly improves how quickly Google discovers and ranks your valuable content.
How do you work with large-scale data in SEO audits?
Large sites generate data volumes that are simply impractical to analyze in spreadsheets. I work with big data tooling to process log files at scale, cross-reference URL patterns against crawl data, identify which page templates generate the most crawl waste, and detect structural patterns across millions of rows. For large platforms this is essential. You cannot identify systematic problems by manually reviewing crawl reports.
What are the deliverables after an audit?
You receive a prioritized technical SEO roadmap, developer-ready JIRA tickets with full context and solution specifications, a crawl budget analysis, an internal linking strategy, and schema markup recommendations. The goal is that your development team can pick up the tickets and implement without needing to come back to me for clarification on every point.
Do you work directly with the development team?
Yes. I write tickets specifically so developers do not need to interpret vague SEO recommendations. Each ticket includes: the issue, why it matters, examples from your site, the proposed solution, and implementation requirements. I am also available for technical questions during implementation to ensure fixes are applied correctly.

Ready to fix what's actually holding your rankings back?

Book a free consultation. I will review your site, identify the highest-impact technical issues, and outline exactly what needs to be fixed, and in what order.