Website redesigns
A controlled website redesign that improves the experience while protecting useful content, URLs, search signals, analytics continuity, and critical visitor journeys.
Technical SEO audits
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.
Your context travels with you. Technical SEO audit will already be selected in the form. Add the current site, desired outcome, and timing.
Crawlability, indexation, canonical, and status-code review
Templates, metadata, internal links, and structured data
Performance, mobile, accessibility, and rendering signals
Prioritized findings with evidence and implementation notes
Service paths
A controlled website redesign that improves the experience while protecting useful content, URLs, search signals, analytics continuity, and critical visitor journeys.
Local SEO grounded in accurate business information, useful service and area content, connected website signals, review practices, and measurement of real inquiries.
A monthly website and conversion optimization cycle that reviews evidence, maintains a visible backlog, completes bounded improvements, and records what changed.
Discovery and indexation
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.
Meaning and relationships
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.
Experience and action plan
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.
How the audit moves
Each audit is bounded to the site and decisions in scope, with findings checked against more than one source when possible.
Confirm business-critical pages, platforms, recent changes, known concerns, and access to relevant search and analytics tools.
Collect technical evidence across URL discovery, templates, rendering, page signals, performance, and internal relationships.
Reproduce meaningful issues, assess their reach and consequence, and order work by confidence, dependency, and effort.
Walk through the findings, answer implementation questions, and define which fixes PlinthWeb or the existing team will own.
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.
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.
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.
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
A technical SEO audit should explain which pages search engines can reach, understand, and index—and which fixes matter first. Use this sequence to turn crawler output into an accountable action list.
Read guideA bilingual site needs more than translated navigation. Pair equivalent URLs, localize the full page, align hreflang and canonicals, and test every language route as its own experience.
Read guideA redesign changes more than appearance. Preserve the URLs, content intent, internal links, metadata, and technical signals that already help people find the business, then monitor the migration.
Read guideStart with the symptoms
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.