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Technical SEO audits

Turn crawl data into a practical repair order.

PlinthWeb examines how the site can be discovered, interpreted, rendered, and measured, then separates consequential problems from tool noise. The deliverable connects each finding to affected pages, likely impact, supporting evidence, and a realistic next action.

Discuss a technical SEO audit

Your context travels with you. Technical SEO audit will already be selected in the form. Add the current site, desired outcome, and timing.

  1. 01

    Crawlability, indexation, canonical, and status-code review

  2. 02

    Templates, metadata, internal links, and structured data

  3. 03

    Performance, mobile, accessibility, and rendering signals

  4. 04

    Prioritized findings with evidence and implementation notes

Service paths

Choose the scope that matches the problem.

01

Discovery and indexation

Check which pages search engines can reach and trust.

The audit compares navigable pages, XML sitemaps, robots instructions, canonical targets, redirects, status codes, and available search-platform indexing reports. It looks for valuable pages that are hidden or excluded, as well as low-value URL patterns that consume attention or send conflicting signals.

JavaScript rendering, duplicate variants, pagination, parameters, language alternates, and staging artifacts are investigated when the site uses them. Findings are tied to concrete URL examples so a developer can reproduce the issue and understand whether it affects one page, a template, or the entire site.

  • Crawl, sitemap, robots, and status-code analysis
  • Canonical, duplicate, parameter, and redirect review
  • Indexing reports reconciled with site behavior
  • Representative URLs for every material finding
02

Meaning and relationships

Inspect the signals that explain each page.

Templates are reviewed for document titles, descriptions, headings, semantics, image alternatives, internal anchor text, breadcrumbs, and structured data. The goal is not to force one formula across the site, but to find missing, duplicated, contradictory, or misleading signals that make important pages harder to interpret.

Internal linking is examined as a system: which pages receive prominence, which are isolated, how service and supporting content relate, and whether navigation hides valuable routes. Structured data recommendations are limited to information visible and true on the page rather than markup added only to pursue a search feature.

  • Titles, descriptions, headings, and semantic templates
  • Internal link depth, anchors, and orphan pages
  • Breadcrumb and language-signal review
  • Eligible, evidence-based structured data
03

Experience and action plan

Prioritize fixes by consequence, reach, and effort.

Performance analysis combines field data when available with repeatable lab tests and inspection of large images, fonts, scripts, layout shifts, and interaction delays. Mobile behavior, keyboard paths, and accessibility signals are included where they overlap with discoverability and the quality of the landing experience.

The final backlog groups findings by severity, confidence, affected scope, dependency, and approximate effort. Quick corrections are distinguished from architectural work, content decisions, and monitoring items, giving the team a sequence it can implement and verify instead of hundreds of equally weighted alerts.

  • Field and lab performance context
  • Mobile, rendering, and accessibility observations
  • Severity, reach, confidence, and effort labels
  • Verification method for priority fixes

How the audit moves

Four steps from access to an ordered backlog.

Each audit is bounded to the site and decisions in scope, with findings checked against more than one source when possible.

  1. 01

    Set scope and access

    Confirm business-critical pages, platforms, recent changes, known concerns, and access to relevant search and analytics tools.

  2. 02

    Crawl and inspect

    Collect technical evidence across URL discovery, templates, rendering, page signals, performance, and internal relationships.

  3. 03

    Validate and prioritize

    Reproduce meaningful issues, assess their reach and consequence, and order work by confidence, dependency, and effort.

  4. 04

    Review and act

    Walk through the findings, answer implementation questions, and define which fixes PlinthWeb or the existing team will own.

Technical SEO audit questions

What do we receive after the audit?

You receive a written, prioritized backlog with evidence, affected examples, recommended action, dependencies, and a way to verify important fixes. The exact format and depth depend on the agreed site size and access.

Is an automated crawl the same as an audit?

No. A crawler is an important evidence source, but its warnings need context. An audit checks templates and real behavior, reconciles multiple sources, identifies patterns, and orders the work according to the site rather than accepting every default severity.

Can you implement the recommendations?

Yes, when the platform and access make that practical. Implementation can be scoped after the findings are understood, or the backlog can support an existing developer. Large architectural or content changes are estimated separately.

Does fixing technical SEO guarantee higher rankings?

No. Technical repairs can remove barriers and make signals more consistent, but visibility also depends on relevance, competition, authority, content, demand, and search-system changes. The audit makes the controllable technical work clearer.

Related guides

Go deeper before choosing the next step.

Start with the symptoms

Show us the site and the issue you are trying to understand.

Share the domain, platform, recent launches or migrations, priority pages, known warnings, and available tool access. We will define an audit boundary that produces usable decisions.