Skip to main content

Design Thinking + Technical SEO

Technical SEO Consulting: Crawlability, Speed, and Structured Data That Actually Get Fixed

Most sites have the same set of problems: pages that should be indexed are not, Core Web Vitals fail on the templates that matter most, and GA4 event data does not reconcile with what the dev team thinks is firing. We audit each layer specifically, then fix the issues that affect organic performance and revenue reporting.

Crawl and indexation issues diagnosed and fixed, not just reported
Design Thinking + GA4 & Tag Manager insights
Fixes validated against CrUX field data and GSC before the engagement closes
Performance dashboards and Core Web Vitals improvements

What’s Holding Your Rankings Back

These three problems appear in the majority of accounts we audit. Each suppresses organic performance independently. When all three are present, they also corrupt the analytics data used to measure everything else.

  1. Crawl & Indexation Gaps

    Thin/duplicate pages, broken canonicals, and poor sitemap hygiene stop the right URLs from being discovered and indexed.

  2. Core Web Vitals

    Slow LCP, layout shifts (CLS), and interactivity delays drag down UX scores and search performance.

  3. Tracking Chaos

    Messy GA4/Tag Manager setups, missing events, and fragmented data layers make it impossible to trust what the numbers are telling you.

Our Approach: Audit Every Layer, Fix in Priority Order

A site can have strong content and still not rank because Googlebot cannot reach the right pages, Core Web Vitals fail on the templates that generate most traffic, or the GA4 data used to make decisions is recording the wrong events. We audit each of those layers in sequence, set a measurable baseline, and fix the issues in the order that produces the fastest improvement in crawl coverage and organic sessions.

Our Methodology

The Design Thinking SEO Loop

These three problems appear in the majority of accounts we audit. Each suppresses organic performance independently. When all three are present, they also corrupt the analytics data used to measure everything else. This loop keeps SEO work moving from user insight → clear diagnosis → focused execution → measurable impact.

  1. 1

    Empathize

    Understand user behavior & search intent via GA4, Search Console, and heatmaps.

  2. 2

    Define

    Diagnose technical & structural gaps; set baselines for CWV and crawl.

  3. 3

    Ideate

    Generate potential fixes and opportunities, prioritised by business value.

  4. 4

    Prototype

    Implement controlled changes: schema, dataLayer, architecture & CWV.

  5. 5

    Test & Scale

    Measure outcomes, automate monitoring, and scale what proves effective.

  6. 6

    Diagnostics and Coordination

    Automated crawl alerts, GSC anomaly monitoring, and a coordination brief for paid, CRO, and content teams so technical changes do not conflict with active campaigns.

AI-First SEO

AI-First Technical SEO: Entity Coverage, Schema, and Answer Block Structure

Google AI Overviews select content based on entity clarity, structured schema, and answer block structure. A site that ranks well in traditional search but has no FAQ schema, incomplete entity definitions, and no summary content rarely appears in AI Overviews for the same queries. This work sits on top of the technical foundation and addresses those specific gaps. It integrates entity strategy, clean tracking, and answer-focused content patterns.

🤖

Answer Engine Optimization (AEO)

FAQ sections, summary paragraphs, and definition blocks structured to match the content patterns AI Overviews extract when building a direct answer for a query.

🔗

Entity & Schema Expansion

Strengthen entities with schema, internal links, and contextual signals so AI systems connect your brand confidently.

📌

Generative Engine Optimization (GEO)

Template and cluster structure designed so generative AI tools can find, cite, and summarise your content when a user asks a category or comparison question.

Client Outcomes

Proof and Results

Each result below traces to a specific technical fix: a canonical correction, a Core Web Vitals improvement on a high-traffic template, or a schema implementation that increased rich result impressions.

“The technical SEO overhaul cut bloat, clarified site architecture, and unlocked steady discovery without adding content for the sake of it.”

Head of Marketing, Real Estate, Dubai, UAE +21% AOV • +18% CR

★★★★★

“Clear dashboards and prioritised issue lists made budget decisions straightforward. We could show leadership exactly which fixes moved organic sessions and which were maintenance. That distinction changed how the team planned its sprint backlog.”

COO, E-commerce, Pune, India +21% AOV • +18% CR

★★★★★

What You Get

What Every Technical SEO Engagement Produces

Four documented outputs, each owned by your team before the engagement closes. Every fix recommendation includes the before-state metric, the implementation spec, and the GSC or CrUX signal used to validate it.

GA4 & Tag Manager Verification

Event validation, dataLayer checks, and consent-safe tracking so technical fixes connect to reliable analytics and outcomes.

Full Technical Audit

Crawl and indexation review, internal linking, sitemaps, robots, hreflang, rendering, and Core Web Vitals analysis to uncover every blocker.

Schema & Content Operations

Structured data, reusable templates, and scalable on-page patterns that improve search understanding and crawl efficiency.

Roadmap & Sprint Plan

Prioritised backlog with timelines, effort levels, and estimated lift so teams know exactly what to deploy first.

Start With a Technical Audit

We review crawl coverage, Core Web Vitals, schema implementation, and GA4 event accuracy, then deliver a prioritised fix list within 72 hours with estimated impact on organic sessions for each item.

Insights for Technical SEO & Organic Growth

Practical guides on crawl auditing, Core Web Vitals diagnosis, schema implementation, internal linking, and GA4 event verification drawn from client work across B2B SaaS, e-commerce, and real estate.

Help Center

Technical SEO: Common Questions

Short, practical answers to common questions about audits, timelines, and implementation.

A Technical SEO audit evaluates how efficiently search engines can crawl, index, and understand your website. It includes crawl and indexation analysis, Core Web Vitals assessment, site architecture and internal linking review, canonical and robots validation, structured data checks, and analytics integrity verification using GA4 and Tag Manager. For a step-by-step checklist, see our Technical SEO checklist.

Technical SEO improvements typically produce the first measurable signals within 30 to 45 days: crawl-to-index ratio improves, GSC errors drop, and Core Web Vitals move in CrUX data. Ranking and traffic changes follow, with timing depending on site authority and how frequently Googlebot visits your templates. See our Technical SEO and Analytics framework for the full measurement methodology.

Yes. We collaborate directly with in-house or external development teams and support WordPress, Shopify, headless CMS, and custom stacks. Our recommendations are delivered as implementation-ready tickets, code snippets, and QA checklists. Tracking alignment during implementation is handled via Tag Manager & Analytics Architecture.

We fix them, not just report them. The team diagnoses Core Web Vitals issues and works through the fix with your development team: image sizing, JavaScript execution order, critical CSS delivery, CDN configuration, and template changes. Improvements are validated against CrUX field data before the engagement closes. Practical background is in our Core Web Vitals for marketers guide.

We measure success in two stages. Leading indicators confirm the technical fix worked: crawl-to-index ratio, GSC error count, Core Web Vitals in CrUX. Outcome metrics confirm it translated to organic performance: qualified sessions, conversion rate from organic, and assisted revenue attributed to SEO changes in GA4. Schema implementation is tracked separately via rich result impressions. See our Schema markup guide for the full structured data methodology.

Yes. Ongoing programs include scheduled crawl runs, GSC anomaly alerts, Core Web Vitals tracking in CrUX, and quarterly roadmap reviews that reprioritise fixes as the site evolves. When AI Overview visibility is also a goal, this work connects directly to our AI-First SEO (AEO and GEO) service.