We diagnose why a site underperforms in search, fix the technical and architectural causes through the normal release process, and measure the result against query coverage and the work the site is meant to produce.
We examine crawl paths, index coverage, redirect chains, canonical signals and duplicate content against server logs rather than assumptions. Findings are ranked by expected impact so engineering effort goes where it changes something.
URL structure, internal linking and topic grouping decide what a crawler believes a site is about. We design a hierarchy that reflects genuine subject relationships instead of the order pages happened to be built in.
Largest Contentful Paint, Cumulative Layout Shift and Interaction to Next Paint are treated as engineering budgets. We also confirm what a crawler receives, because client-side rendering can hide the content entirely.
Titles, headings and body content are matched to the intent behind a query rather than to keyword density. Pages competing with each other for the same intent are merged or separated deliberately.
Schema.org markup for organisations, products, articles and FAQs is implemented from the underlying data, not hand-maintained. Validation runs as part of the build so markup cannot silently drift from the page.
Redirect maps, parity checks and staged cutovers protect existing rankings during a replatform. Multi-region sites get hreflang and canonical rules that do not contradict each other.
We record current index state, query coverage, technical defects and the commercial goal the site serves. Without a documented starting point, later movement cannot be attributed to anything.
Issues are grouped by cause and ranked by expected effect against implementation cost. The output is a sequenced list an engineering team can actually schedule.
Changes ship through the same review, testing and release path as any other code. Redirects, markup and rendering changes are verified in staging before they reach a crawler.
We track query-level movement with changes annotated on the timeline, so a shift can be traced to a release, a seasonal pattern or an algorithm update rather than guessed at.
A large share of what limits organic performance is not content quality but delivery: pages that return the wrong status code, content that only exists after hydration, parameter combinations that generate thousands of near-duplicate URLs, or redirect chains left behind by an old platform.
These defects are invisible in a keyword tool and obvious in server logs and a crawl. We start there because fixing content on a site a crawler cannot traverse produces nothing, and because these are the changes that need a developer rather than an editor.
Two phrases with similar volume can require completely different pages: one wants a definition, another wants a comparison, a third wants a product. Building one page per keyword produces a set of thin pages that compete with each other and satisfy nobody.
We group queries by the job the searcher is trying to finish, then decide how many pages that genuinely requires. Existing pages are often consolidated rather than supplemented, because a single authoritative page usually outperforms four partial ones covering the same ground.
Rankings move for reasons outside any engagement: competitors change, results layouts change, and core updates reshape entire categories. Reporting that only shows a rising line is not measurement, because it cannot distinguish work that helped from a market that shifted.
We report movement by query group and page, annotate releases and known update dates, and separate impressions from clicks from the outcome that follows. That makes it possible to say which changes earned their cost, and to admit when a decline came from something no amount of optimisation controls.
Technical corrections can register within a few weeks of recrawling, while content and authority work usually takes longer and depends on competition. Any fixed timeline offered before a crawl and baseline is a guess.
No. Ranking is decided by a system we do not control, against competitors who are also working. We commit to diagnosis, implementation and honest measurement, not to a position.
For technical work, usually yes, or a developer who can apply the changes. Rendering, status codes, redirects and structured data live in the application rather than in a marketing tool.
Changes go through the same testing and review as other engineering work, with redirect maps and parity checks on migrations. Risky changes are staged and monitored rather than released together.
Yes, through our content marketing service, or we can specify the requirement precisely enough for an internal team or existing agency to write it.
Share the problem, current system and constraints. We will respond with the questions needed to define a credible next step.