AdMarkupTechnical SEO that removes the ceiling on everything else
Technical SEO is the work that makes a website easy for search engines and AI systems to crawl, render, understand and index. It covers server responses, rendering, internal architecture, structured data and page experience. It does not create demand on its own — it removes the barriers that stop good content from earning it.
The problem
Most sites do not have a content problem first; they have an access problem. Templates block rendering, faceted URLs consume crawl capacity, canonical signals contradict each other, and pages that matter sit five clicks from anything authoritative.
How we approach it
We diagnose how search engines actually experience the site — server logs, rendered DOM, index coverage, internal link graph — and then fix causes in the template layer rather than patching individual URLs. Every recommendation is written so an engineering team can implement it without translation.
Business outcomes
- Important pages are discovered, rendered and indexed reliably
- Crawl capacity spent on pages that can earn traffic
- Consistent canonical, hreflang and pagination signals
- Faster, more stable page experience on real devices
- A prioritised backlog engineering can actually ship
What's included
Crawl and log analysis
We crawl the site as a search engine would and compare that with server log data to see which templates bots actually request, how often, and where requests are wasted on parameters, redirects and error responses.
Rendering and indexation review
We compare raw HTML with the rendered DOM to confirm headings, body copy, links and structured data exist without JavaScript execution, then reconcile that against index coverage patterns by template.
Site architecture and internal linking
We map the internal link graph to find orphaned and weakly linked pages, over-diluted hubs and click depth problems, then design a linking model that matches commercial priority.
Canonicalisation and duplication control
Parameter handling, trailing slashes, protocol and host variants, pagination, faceted navigation and near-duplicate templates are resolved into one deliberate set of signals.
Structured data implementation
Schema is specified to describe what is genuinely visible on the page, wired as a connected graph across organisation, service, article and breadcrumb entities rather than isolated snippets.
Core Web Vitals and delivery
We profile field and lab data, set performance budgets, and specify fixes across images, fonts, third-party scripts, caching and render-blocking resources.
Engineering handover and QA
Each item ships as a ticket with reproduction steps, acceptance criteria and a verification method, and we re-test after release.
What you receive
- Full technical crawl with issue classification by template
- Log-file findings and crawl-budget recommendations
- Rendering and indexation report
- Internal link graph analysis and orphan page list
- Structured data specification
- Core Web Vitals diagnosis with performance budgets
- Prioritised engineering backlog with acceptance criteria
- Post-release verification report
How we work
- 1
Baseline
Record current index coverage, crawl behaviour, performance data and rankings so change can be attributed later.
- 2
Diagnose
Crawl, log, render and architecture analysis to isolate causes rather than symptoms.
- 3
Prioritise
Rank fixes by expected impact against implementation cost, with commercial templates first.
- 4
Specify
Write implementation-ready tickets your developers or ours can execute.
- 5
Implement and verify
Ship in stages, then re-crawl and re-test each release against acceptance criteria.
- 6
Monitor
Track coverage, crawl stats and vitals over the following weeks to catch regressions.
How we measure it
- Indexed versus submitted URLs by template
- Crawl requests and response codes from log data
- Rendered-content parity between HTML and DOM
- Core Web Vitals field data by page group
- Impressions and clicks for previously non-indexed templates
Honest limitations
Technical work removes constraints; it rarely creates demand by itself. If a site has no content or authority for a topic, fixing crawling will not produce rankings for it. Implementation speed also depends on your release process, and some platform limitations cannot be engineered around without replatforming.
Frequently asked questions
- How is this different from an SEO audit?
- An audit is a scoped diagnostic that ends with a report. Technical SEO as a service continues through specification, implementation support and verification, and keeps monitoring for regressions after each release.
- Do you implement the fixes or just recommend them?
- Both models work. We can hand engineering-ready tickets to your team, or implement directly when we also build or maintain the site.
- Will a JavaScript framework hurt our SEO?
- Not inherently. The requirement is that important content and links exist in the server response and that URLs are stable and crawlable. Server-rendered or pre-rendered output satisfies that; client-only rendering usually does not.
- How long before technical fixes show up in search?
- Recrawling and reindexing of affected templates typically takes days to weeks, and the visible effect depends on how many pages were previously blocked and how competitive their queries are.
- Do you need access to server logs?
- Log data makes crawl analysis far more accurate, but we can work from crawl data, search console coverage and rendering tests when logs are not available.
Related services
- SEO Services
- SEO Audit A fixed-scope diagnostic that tells you what is wrong, what it is worth fixing, and in what order.
- On-Page SEO Make existing pages match intent, cover the topic properly and link to each other with purpose.
- web development
- Enterprise SEO Programme management, template governance and forecasting for sites where change is slow and expensive.
Let's build your growth system.
Tell us where you are now and what you need to reach. We'll come back with scope, sequencing and what we'd do first.