Enterprise SEO |Scale · Governance · Global Search
Tens of thousands of URLs, several teams shipping into the same templates, and markets that compete with each other for the same query. We work at template and process level across the whole estate, then ship the changes with your release cycle rather than filing them as recommendations.
Full crawl · log analysis · prioritised roadmap, yours to keep either way
Crawl budget › Architecture › Templates › Entities › GovernanceAt scale, every one of these is a place growth quietly stalls.
What we solve
None of these are visible on a 200 page site. All of them decide how much of a large estate is eligible to rank at all. They are also connected: an architecture problem wastes crawl budget, wasted crawl budget hides an indexation problem, and a template published without an owner recreates both next quarter.
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Content and links still decide where you place. At this scale, the work above decides how much of your site is in the race in the first place. On a large estate, the fastest available growth is usually in pages you already own.
Governance & workflows
Enterprise SEO fails in a predictable way. The audit is accurate, the fix list is correct, and then it enters a development backlog, gets sized against product priorities, and waits. Meanwhile a release ships a noindex, a plugin rewrites a canonical, and a new template goes live with no owner.
So we install the process alongside the work: an owner per template, a definition of done that includes indexation, pre-release SEO checks in your pipeline, and alerting that surfaces a regression in days rather than at the next quarterly review. Our engineers ship the changes into your codebase or CMS directly, which is why there is no handoff between finding a problem and correcting it.
Same finding. Different ending.
Scope of work
Grouped the way the dependencies run rather than alphabetically. Not every estate needs every item, and the audit says which ones yours does before anything is scoped or priced.
Deciding what search engines spend their requests on across a very large URL set, then confirming what they actually do.
Routing crawl paths and authority toward the pages with commercial intent behind them, and keeping it routed as pages are added.
Making each market earn its own visibility instead of competing with the versions of itself.
Hundreds or thousands of location pages that stay distinct, indexed and locally visible rather than duplicated.
Telling machines what your brand, products, locations and authors are, in the same terms everywhere they appear.
Measurement built by segment, and the repetitive enforcement work handed to scheduled jobs rather than to people.
Tooling
Not a performance claim, just the software behind the work, so you know what is running against your estate. Findings from any of these are cross-checked against your own Search Console and analytics data before they reach the roadmap.
AI search readiness
Answer engines and AI assistants now sit between a question and your website, and they read it under stricter conditions than Google does. At enterprise scale the problem is not writing for them, it is making sure the templates already carrying your traffic are readable at all.
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This is not a separate discipline sold as an add-on. It is the same crawl, render and index work, held to the tolerance the newer crawlers require. A page that is easy for one machine to parse is easy for all of them to parse.
Our process
Five stages, run in that order. The order carries the work: prioritising before the crawl and the logs are in produces a list of the problems that were easiest to find rather than the ones costing the most traffic.
Every reachable URL crawled rendered and raw, cross-referenced against Search Console coverage by segment, CrUX field data, analytics revenue and your server logs. On a large site the logs are the only source that shows where crawl budget is genuinely being spent, and they usually contradict the assumption.
A crawler will flag tens of thousands of items and most of them do not matter. Findings are grouped to the template that causes them and scored on blocked traffic against effort, so the roadmap opens with what moves the numbers and states plainly which items are safe to leave alone.
Fixes shipped into your codebase or CMS by engineers, through your review process, branch conventions and release calendar, with every change documented. Template-level problems are corrected at the template so they stay corrected across every page it generates.
An owner per template, a definition of done that includes indexation, pre-release SEO checks in the pipeline, and documentation your team keeps. This is the stage that decides whether the engagement compounds or has to be repeated in eighteen months.
Scheduled crawls, log ingestion, hreflang and canonical validation and schema checks run as jobs. Indexation, rankings and revenue are reported by segment in Looker Studio, with alerts on regressions so a bad release surfaces in days rather than at the next quarterly review.
Want to see what a full crawl and log analysis turns up on your estate?
The audit and the prioritised roadmap are yours to keep, whether you implement them with us, with your own team, or on your own schedule.
Track record
The team behind Wegile DGTL has worked together for over a decade, running the complete marketing engine at its parent company, a software development company, and delivering campaigns for its clients before that. The results below were earned by this team across those years, on accounts where the technical, content and paid work were run together rather than in isolation.
Digital Products & eCommerce · Paid Social Launch
Books sold
Time to sell out the run
A digital recipe book with hundreds of high-protein recipes built for weight-loss and GLP-1 audiences. Our team ran the paid social strategy behind the launch, testing hooks and formats against a cold audience, selling 2,000 copies in under three months.
"I've been working with them for nearly 10 years, and they've been an incredible partner every step of the way. From developing my fitness app and nonprofit app, to helping maintain and grow my website, their team has consistently delivered with professionalism and precision. They're responsive, reliable, and deeply knowledgeable, always guiding projects with care and expertise. I trust them fully and plan to continue working with them for years to come."★★★★★5.0 · Chris Powell, Deliciously Fit
Enterprise SEO questions
The questions heads of digital, in-house SEO leads and engineering managers ask before commissioning enterprise work, answered plainly and in full.
Strategy and roadmap, crawl budget and indexation management across the full URL set, site architecture and internal linking, scalable content architecture for templated pages, international and multi-location search, and entity optimisation.
Alongside that sits the part most engagements leave out: the governance workflows, automation and segmented reporting needed to keep all of it in place while your teams keep shipping releases.
Scale changes what the constraints are. A 200 page site has no crawl budget problem and one publishing owner. A 50,000 page estate has sections search engines rarely request, several teams shipping into the same templates, and rules that have to hold across thousands of pages at once.
So the work is mostly template level and process level rather than page level. Fixing one page is rarely the deliverable. Fixing the thing that generated 4,000 of them is.
Server log files first, because they show which URLs search engines actually request, and that is rarely the set a site owner assumes. From there, faceted navigation, sort parameters, internal search and pagination traps get closed off and low value templates are deprioritised.
Sitemaps are then segmented so indexation can be measured by section rather than as one site total, which is what makes the next change measurable at all.
Yes. On the international side that covers domain and subdirectory strategy, hreflang generation and validation at scale including return tag errors, and market level canonical rules so regional versions stop competing with each other.
On the multi-location side it covers templated location pages built to stay genuinely distinct across hundreds of branches or service areas, profile and NAP consistency maintained programmatically, and visibility reported per location.
We work to your ticketing process, branch conventions and release calendar, and document every change. In-house teams typically keep content, keyword strategy and stakeholder ownership, and use us for engineering capacity, template level fixes and the governance layer.
Definitions of done, pre-release SEO checks and ownership per template are handed over, so your team keeps the visibility after the engagement rather than losing it with us.
Entity optimisation means stating what your brand, products, locations and authors are in structured data consistently across every template, and keeping the facts that reference them aligned. On a large estate that is a template and data problem, not a copywriting one.
AI search readiness adds server rendered HTML rather than content that only appears after hydration, a deliberate access policy for crawlers such as GPTBot, ClaudeBot and PerplexityBot, and self contained answers a model can quote without distorting them.
Reporting is built by segment rather than as a single site total, so indexation, impressions, rankings and revenue can be read by template, market, brand or business unit. Search Console, GA4 and crawl data are joined in BigQuery and surfaced in Looker Studio.
Alerting matters more than the dashboard. A noindex shipped in a release, a canonical rewritten by a plugin or a Core Web Vitals regression should reach you in days, not in the next quarterly deck.
Parts of it should be. Scheduled crawls, log ingestion, hreflang and canonical validation, sitemap generation, schema output at template level and regression alerts are all better run as jobs than as manual checks.
Automation handles detection and enforcement at scale. The judgement calls, the prioritisation and the trade-offs stay with people, because that is the part that is actually hard.
One last thing
A full crawl of your estate, log analysis showing where crawl budget is actually going, the findings that matter ranked against the ones that do not, and an honest view of how much of your current traffic ceiling is structural. Implement it with us, hand it to your own engineers, or keep it on file. The document is yours regardless.
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