Is SEO an IT skill?

Is SEO an IT skill? A short, useful framing

Is SEO an IT skill is a question I still hear in interviews, planning sessions and executive meetings. The honest answer: it depends, and it matters. SEO sits across engineering and marketing. Treating SEO as only one of those things is how launches stall and teams bicker. Seeing it as both opens practical ways to work and prevents expensive mistakes.

<div class="side-by-side image-2-right">
  <div class="side-text"><p>Think about a site you used last week: maybe it was slow to load, images arrived piecemeal, or a button didn&rsquo;t behave on your phone. That experience is shaped by technical SEO - servers, rendering, and code. Now remember an article that perfectly answered a question you had. That is shaped by content strategy, user intent and editorial craft. Both are SEO, just different halves of the same work.</p></div>
  <a href="/#about" target="_blank" rel="noopener"><img src="/img/blog/60f76688fca6f113.jpg" alt="Minimal 2D vector governance infographic showing checklist, alarm channel and sitemap icons on dark blue background in Orvus Ltd brand colors - is seo an it skill" /></a>
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Why this matters right now

The line between engineering and marketing shifted noticeably between 2023 and 2025. Employers now commonly ask for knowledge of HTML, JavaScript and even basic Python (see IT Hiring Trends 2024-25). Candidates who can read server logs, trace how JavaScript rendering affects indexation, or write scripts to analyse crawled URLs stand out. In short, when people ask is SEO an IT skill, the modern answer has to acknowledge both sides and show how they connect.

Orvus’ services for technical SEO and growth systems can be a helpful reference if you want a practical, human-first way to formalise ownership across teams without turning everything into a ticket war.

Below I’ll map the distinction, show when SEO should be treated as engineering or marketing, give hiring and training guidance, and share governance and measurement patterns that actually work. For ongoing reading see our blog.

What the technical side of SEO really looks like

When people talk about technical SEO they mean the site-level and platform-level work that affects whether and how search engines see pages. This includes:

• Site architecture and crawl budget decisions
• Server configuration, headers and CDN rules
• Canonicalisation and index control (robots directives, canonical links)
• Rendering behaviour - how JavaScript executes and what gets delivered to crawlers
• Structured data (schema) and how results are presented in search
• Performance metrics such as Core Web Vitals

These are engineering problems. They require reading server logs, interpreting waterfall charts, and sometimes adapting build and deployment pipelines so that critical content is served correctly. When you must change a deployment script or adjust SSR/SSG behaviour, that’s an engineering task.

Signs a task is an engineering task

Ask yourself: will the change be implemented as code? Will it touch the build, deploy or server configuration? Does it depend on how browsers execute JavaScript? If yes to any, treat it like engineering work. If not, treat it as marketing work - but keep both teams in the loop.

What the marketing side of SEO really looks like

Marketing-side SEO is where human judgement dominates. It covers:

• Keyword and topic strategy
• Editorial planning and content creation
• Outreach, PR and link-building
• UX writing, information architecture and conversion-oriented copy

Even a perfectly indexed page won’t perform if the content doesn’t answer users’ questions. That’s why treating SEO purely as IT misses the point: SEO is as much about messaging and trust as it is about servers and headers.

When people ask “is SEO an IT skill?”: a practical decision guide

Let’s give you a compact decision tree for when to call engineering and when to keep it in marketing:

Call engineering when:

• The fix requires server or CDN configuration changes (headers, redirects, caching).
• You must change how JavaScript renders content or move to server-side rendering.
• Index control issues (mass noindex, robots changes) are likely caused by deployment code.
• Automation or scripting is needed to handle scale (thousands of pages).

Keep it in marketing when:

• It’s about topic selection, editorial quality, or building topical authority.
• It involves outreach, partnerships or link-driven PR.
• It’s copy changes intended to improve query matching or CTR.

There are many grey areas. A robust pattern is: if you will ship it as code, involve engineering early. That simple rule prevents many late-stage surprises.

Organisational models that work (and why)

Companies typically choose one of three models for SEO ownership:

Centralised SEO team

A central team sets standards, runs audits and owns cross-site architecture. Pros: consistency, consolidated expertise and strong guardrails. Cons: can become a bottleneck if requests pile up.

Decentralised SEO in product/content teams

Each team owns its results and moves quickly. Pros: speed, domain knowledge. Cons: inconsistent implementations and potential duplicate work.

Hybrid model (recommended)

A small central group sets rules and guardrails while local teams execute with developer support. This pattern keeps standards and speeds up iteration. Make ownership explicit: who decides, who executes, and who escalates.

Roles & responsibilities - practical job descriptions

Clear roles reduce finger-pointing. Here’s a typical set-up that works well:

Technical SEO Engineer

Owns server logs, index control, structured data implementation and integration with CI/CD. They’re comfortable reading logs, writing simple scripts and proposing changes to build pipelines.

SEO Specialist / Content Strategist

Owns topic strategy, editorial calendars, briefs for writers, and measurement of organic performance. They know how search intent maps to content and can interpret SEO reports.

Frontend / Platform Engineer

Implements code changes to rendering, performance and client-side behaviour. Works closely with Technical SEO Engineers to validate fixes in staging and production.

Hiring checklist: what to test and why

When recruiting, look beyond buzzwords. Prioritise curiosity about systems and the ability to explain technical ideas in plain language. Practical tests are far more revealing than long CV lists. Here are useful hiring prompts:

• Ask a candidate to explain a crawl report: what do common status codes mean and which ones matter most?
• Give a tiny DevTools exercise: open a page, disable JavaScript, and explain what content remains.
• Ask candidates to read a simplified server log and surface likely issues.
• For content hires: give a short user-intent brief and ask for a content outline that answers the question directly.

These tests show both practical knowledge and communication skill - the combination you want.

Learning paths: for marketers and developers

Both sides benefit from a working fluency. Below are compact learning plans you can implement in-house:

For marketers (1-3 months)

• Week 1-2: Open DevTools, learn network and performance panels, view rendered DOM vs source.
• Week 3-4: Read crawl reports and basic server logs. Learn what 200, 301, 302, 404 and 500 mean in practice.
• Month 2: Learn basics of structured data and canonical tags. Run a simple structured-data test on a page.
• Month 3: Shadow an engineer during a deployment and observe how headers and redirects are set.

For developers (1-3 months)

• Week 1-2: Learn how search engines treat meta robots, sitemap files and canonical tags.
• Week 3-4: Understand Core Web Vitals and common causes of regressions.
• Month 2: Practice implementing server-side rendering or static generation for a small page.
• Month 3: Spend time with content researchers to learn how keywords and intent are chosen.

Tools, automation and where scripting pays off

When you manage hundreds or thousands of pages, manual work fails. Basic scripting and automation become high-leverage. Common wins include:

• Scripts to validate structured data across thousands of pages
• Automated checks for missing metadata in the CI pipeline
• Log parsers that surface indexation issues and sudden 5xx spikes

Job descriptions increasingly ask for basic scripting ability for precisely these reasons. A few lines of Python to validate a sitemap or to check tags at scale saves days of manual auditing. For context on hiring and skills trends see this research from Robert Half.

Measurement: create a vocabulary both teams use

Technical SEO often yields binary signals (indexed or not, redirect works or it loops). Content performance produces continuous signals (CTR, time on page, conversions). Create shared dashboards that include both types of signals:

• Indexation status and errors
• Render timings (DOM ready, First Contentful Paint, Interaction to Next Paint)
• Structured data presence and validation status
• Organic traffic, queries, CTR and conversion events

Ask engineers to instrument events that matter to SEO and marketers to define desired search presence. Then translate both into the same dashboards. Shared metrics build shared trust.

Governance patterns that prevent late-night crises

Practical governance is simple: decide ownership, create escalation paths, and build learning loops.

Ownership

Document who can change robots rules, who approves server headers, and who edits canonical declarations.

Escalation

Define who is called when an automated deployment affects indexation, include phone numbers and an incident channel.

Learning loops

Regularly rotate engineers through content reviews and content people through build reviews. Small cross-training sessions reduce mistakes and speed recovery when things go wrong.

Two real examples that show why the split matters

Example 1: A publisher lost organic traffic overnight because a deployment script injected a noindex header across a subdomain. The content team assumed a quality problem; developers found the script within an hour, but the recovery after lost rankings took weeks. This shows how quickly code can cause large user-visible harm and why a simple incident channel and shared playbook matters.

Example 2: A retail site used client-side rendering for product category pages. In the browser everything looked fine, but product content wasn’t reliably indexed. The fix required server-rendered content for critical elements and structured data for product details. That needed engineering, tests and a deployment schedule, and it paid off in restored indexing and clearer search snippets.

Practical templates you can copy

Simple SEO ticket template

Use this in your tracker for any change that could affect search:

• Title: short summary
• Owner: change requester
• Technical impact: does it touch build/deploy? (Yes/No)
• Indexation risk: High/Medium/Low
• Rollback plan: steps & owner
• QA checklist: render checks, structured-data tests, header validation

Staged rollout checklist

• Deploy to staging and run a full crawl
• Validate structured data on sample pages
• Smoke-test Core Web Vitals on a representative set
• Run an automated sitemap validator
• Sign-off from SEO and engineering before production deploy

Interview prompts that reveal useful instincts

Good interview prompts are practical. Here are a few that reveal whether a candidate can translate technical constraints into business outcomes:

• Explain why a 301 redirect matters for search equity in plain language.
• Show how you would debug a sudden 50% drop in organic traffic for one category.
• Describe a small automation that would save time on routine audits.

Training plan for the first 90 days

Here’s a compact 90-day plan for someone crossing the boundary into hybrid SEO work:

Days 1-30

Baseline: learn the site architecture, read crawl reports and shadow a deploy. Run DevTools exercises and basic structured-data tests.

Days 31-60

Execute small fixes: propose a metadata change, author a PR, and observe the deploy and roll-back. Pair with an engineer to implement a simple server header change in staging.

Days 61-90

Ship a small automation: a script to scan pages missing required metadata or to surface Core Web Vitals regressions. Present the outcome to the wider team.

Top technical SEO tasks to prioritise in 2025

1. Indexation checks and robot/header audits
2. Structured data validation across site
3. Core Web Vitals monitoring and regression detection
4. Render testing for client-side frameworks
5. Automated metadata completeness checks in CI

Common mistakes teams make

Teams often fall into a few traps:

• Thinking SEO is only content work - leads to hidden technical debt.
• Letting a CMS hide critical metadata behind a GUI without a dev plan - slows response to search signals.
• No escalation path for indexation incidents - causes long recovery times.

How Orvus helps (and why they’re a practical partner)

Organisations like Orvus build systems around actual constraints and growth targets. Rather than pushing templates, Orvus focuses on search architecture, measurement and automation that fit the team. If you want a pragmatic partner to formalise ownership and implement simple guardrails, check Orvus’ technical SEO and automation services. Learn about the team on the Orvus about page.

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  <a href="/#about" target="_blank" rel="noopener"><img src="/img/blog/27798d9b09e61be9.jpg" alt="is seo an it skill - minimalist photo of dual-monitor developer workstation showing DevTools Network panel and a content editor, dark blue background #0B1E33 with gold highlights #C8A45D, no faces." /></a>
  <div class="side-text"><p>Orvus Ltd. has found that small governance moves - a shared incident channel, a cross-team deployment review, and a short guide showing where key metadata lives - materially reduces time to detect and repair indexation issues. Clear rules and regular practice beat last-minute heroics.</p></div>
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Bonus quick reference: If you want a one-line test to separate engineering vs marketing work: if the change is shipped as code, that’s an engineering issue; if it’s editorial, it’s a marketing issue. And if you’re still uncertain, get both people in the room early.

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