SEO Services
Technical SEO Services
Technical SEO is not a growth channel. It is a constraint-removal exercise. A page that cannot be crawled cannot rank, a page that renders differently for a crawler than for a human ranks for the wrong thing, and a page that takes six seconds to become interactive loses the visitor before the content matters at all.
Remove the ceiling before you spend another dollar on content
The reason technical SEO gets sold badly is that it produces no visible artefact. Nobody screenshots a resolved redirect chain. So it gets replaced by a hundred-item audit report generated by a crawler, delivered as a PDF, and prioritised by nothing — every item flagged red, no distinction between a genuine indexation blocker and a missing meta description on a thank-you page. The client pays for a document rather than an outcome.
We work the opposite way, in a fixed order of consequence. Can Googlebot reach the page. Once reached, does it render the same content a human sees. Once rendered, is it eligible for indexing and is the right canonical URL chosen. Once indexed, does it load fast enough to hold the visitor. Every item is triaged by that sequence, because a Core Web Vitals problem on a page that is noindexed by accident is not a priority, and treating both as red items of equal weight is how audits waste months.
The most expensive technical problems we find are almost never the ones a crawler flags loudest. They are the JavaScript-rendered content that Googlebot times out before seeing, the canonical tag pointing at a staging domain, the parameter-generated crawl trap consuming most of a site's crawl budget, and the redirect chain four hops long that quietly drops the signal it was meant to carry. None of those appear as urgent in a generic audit score. All of them cap the site.
What's included
What technical seo actually involves
Deliverables, not a feature list. Each of these is something you can point at and ask about in a monthly review.
- Crawl and log-file analysis
- A full crawl mapped against how search engines actually behave on your site: which URLs get hit, how often, and where crawl budget is being consumed by pages with no commercial value. Log data turns crawl budget from a theoretical concern into a measured one.
- Rendering and JavaScript SEO
- We compare the raw HTML response against the rendered DOM to find content that only exists after script execution. This is the most consequential and least detected technical problem on modern sites, and it matters more now that AI retrieval systems frequently do not execute JavaScript at all.
- Indexation and canonical hygiene
- Canonical conflicts, self-referencing errors, noindex directives on pages that should rank, sitemap entries that contradict canonical choices, and parameter handling. We reconcile every signal so you are not sending Google three different instructions about the same URL.
- Core Web Vitals remediation
- LCP, INP and CLS diagnosed against field data rather than lab scores, because a perfect Lighthouse run on a fast connection tells you very little about what real users on real devices experience. We fix causes — unsized images, render-blocking resources, layout-shifting fonts and ads — rather than chasing a score.
- Site migration and redesign protection
- Pre-migration URL inventory, redirect mapping, and post-launch verification. The single most common cause of catastrophic traffic loss we are called in to diagnose is a redesign that shipped without a redirect map, and it is entirely preventable with two days of planning.
- Structured data validation at template level
- Schema tested per template rather than per page, so a markup error affects one fix rather than four hundred pages. We validate against both Google's requirements and the visible content, since markup describing content a user cannot see is a manual-action risk rather than a win.
Problems this fixes
Symptoms you might recognise, and what is actually causing them
If any of these describe your situation, the cause is usually not the one people assume — which is why the fix column matters more than the symptom column.
- The symptom What is actually causing it What we do about it
- Search Console reports pages as "Discovered — currently not indexed" for months. Google has found the URLs but does not consider them worth the crawl, typically because of crawl budget consumed elsewhere, thin or near-duplicate content, or almost no internal links pointing at them. We free crawl budget by closing the traps consuming it, then improve the internal linking and distinctiveness of the affected pages so they become worth fetching.
- Your site looks fine to visitors but Google seems to see a different page. Client-side rendering. Content injected by JavaScript after load may not be seen if rendering times out or fails, so the indexed version can be close to empty. We compare raw against rendered HTML per template and move critical content into the server response, via server-side rendering or static generation depending on your stack.
- Rankings dropped sharply after a site launch or platform change. Missing or chained redirects, a changed URL structure, or a staging-environment canonical or noindex directive that shipped to production. The last one is more common than anyone admits. We audit the live environment for inherited staging directives, reconstruct the old URL inventory, and restore a clean one-hop redirect map.
- Core Web Vitals fail in the field but pass in Lighthouse. Lab tests run on a fast connection and a powerful machine. Field data reflects real devices on real networks, and the gap is usually image weight, third-party scripts, or layout shift from late-loading fonts and embeds. We work from field data, prioritising the specific templates failing for real users and fixing causes rather than optimising toward a lab score.
- Crawl stats show enormous activity on URLs you have never seen. A crawl trap: faceted filters, calendar pagination, session parameters or sort orders generating effectively infinite URL permutations. We identify the generating pattern and close it at the source with the correct instrument per case, then verify through log data that crawl activity redistributes to pages that matter.
How it runs
Our technical seo process
Four stages in this order. The sequence matters — doing these out of order is how engagements produce activity instead of results.
- 01
Crawl, render and log baseline
Full crawl, rendered-versus-raw HTML comparison across every template, log-file review where available, and a Search Console indexation reconciliation. The output is a triaged list ordered by consequence, not a colour-coded dump of everything a tool can detect.
- 02
Blockers first
Anything preventing crawling, rendering or indexing is fixed before anything else, because every other improvement is worthless on a page that cannot enter the index. This phase is usually short and produces the largest movement.
- 03
Efficiency and performance
Crawl traps closed, redirect chains flattened, canonical signals reconciled, and Core Web Vitals addressed against field data. This is where the work becomes iterative, because performance regressions arrive with every future deployment.
- 04
Monitoring and regression defence
Ongoing indexation and performance monitoring with alerting, plus a pre-deploy checklist your development team can actually use. Technical health is not a state you reach; it is a state you maintain against your own release cycle.
Best practices we hold ourselves to
These are the rules we apply on every technical seo engagement. If we ever break one, ask us why.
- Fix in order of consequence: crawl, then render, then index, then speed. Never in the order a tool lists them.
- Compare raw HTML against rendered DOM on every template — this is the highest-value fifteen minutes in any technical audit.
- Keep redirects to a single hop. Every additional hop is an opportunity to lose the signal you are trying to preserve.
- Never let a canonical or robots directive from staging reach production; add it to the deploy checklist as a hard gate.
- Judge Core Web Vitals on field data. A lab score is a debugging tool, not a measure of user experience.
- Set explicit width and height on every image — unsized images are the most common single cause of layout shift.
- Ensure XML sitemaps contain only canonical, indexable URLs; contradicting your own canonicals wastes crawl budget and trust.
- Export a full URL inventory before any migration, and treat the redirect map as a launch blocker rather than a follow-up task.
Proof
What we can stand behind
One documented client result, plus the market data that explains why technical seo matters right now. Each figure is labelled with what it actually is.
- of Google queries now return an AI Overview
- 40%+ of Google queries now return an AI Overview HubSpot, 2026
- fewer businesses shown in AI-generated local packs than classic map results
- 68% fewer businesses shown in AI-generated local packs than classic map results Industry research, 2026
- of "near me" searchers visit a business within 24 hours
- 76% of "near me" searchers visit a business within 24 hours Shopify Local SEO Statistics, 2026
- better conversion from fully optimised Google Business Profiles
- 1.8x better conversion from fully optimised Google Business Profiles Whitespark, 2026
The 84% figure is a documented result for one client, not a projection of typical performance. The figures beneath it are published market statistics from the sources named — included because they explain the conditions this service operates in, never presented as our own results.
By market
Technical SEO in the markets we cover
Each of these pages is written around that market's actual conditions — real neighbourhood search behaviour, the industries that dominate demand there, local cost pressure. None of them is this page with the place name swapped in.
- Technical SEO in St. Petersburg, FL St. Petersburg, Gulfport, Pinellas Park View
- Technical SEO in Tampa, FL Tampa, Temple Terrace, Brandon View
- Technical SEO in Florida Tampa, St. Petersburg, Orlando View
- Technical SEO in Texas Houston, Dallas, Austin View
- Technical SEO in California Los Angeles, San Francisco, San Diego View
- Technical SEO in Illinois Chicago, Naperville, Aurora View
- Technical SEO in New York New York City, Buffalo, Rochester View
- Technical SEO in Georgia Atlanta, Savannah, Augusta View
- Technical SEO in Washington Seattle, Spokane, Tacoma View
Related services
What usually runs alongside this
Not an upsell list. These are the services that genuinely interact with this one, and the interaction is worth understanding before you buy either.
- Website SEO Structure, content and internal linking rebuilt so your pages stop competing with each other and start ranking. View
- AI SEO Get named in AI Overviews and chat answers — the surface where high-intent queries increasingly resolve without a click. View
- Website Redesign A rebuild that keeps every ranking, redirect and conversion path you already earned. View
Find out what is actually capping your site
We will run a crawl, render and indexation audit and send you a triaged list ordered by consequence — blockers first, cosmetics last. Not a hundred red items with no priority attached.
Technical SEO questions
Technical SEO, answered properly
Why is the raw-versus-rendered HTML comparison the first thing you check?
Because it detects the failure mode that costs the most and shows the fewest symptoms. If your content is injected by JavaScript after page load, there is a real possibility Google indexes something close to an empty shell — the site looks perfect to every human who visits, so nobody suspects it, and conventional audit tools that crawl rendered output will not flag it either. The comparison takes minutes: fetch the raw HTML response, fetch the rendered DOM, and diff the actual body content. It has become more consequential rather than less, because AI retrieval systems frequently do not execute JavaScript at all, so content that Google eventually renders may still be invisible to the generative surfaces you are now trying to appear in. When we find a gap, the fix is architectural — server-side rendering or static generation for critical content — which is exactly why it needs to be found early rather than after a content programme has been commissioned.
What is crawl budget, and does it genuinely matter for a site of my size?
Crawl budget is the finite number of requests search engines will make to your site in a given period, determined by your server capacity and how much demand Google perceives for your content. For a well-structured site under a few thousand URLs it is usually not a limiting factor, and agencies that raise it as a concern for a fifty-page brochure site are inventing a problem. It becomes genuinely limiting when something is generating URL permutations at scale — faceted ecommerce navigation, calendar pagination, session or sort parameters — because crawl requests spent on worthless permutations are requests not spent recrawling the page you just rewrote. The diagnostic is log data rather than speculation: if the majority of crawl activity is hitting URLs with no commercial value, you have a measurable problem, and if it is not, crawl budget is not your constraint and we will tell you so.
How do I stop a redesign from destroying my organic traffic?
Treat the redirect map as a launch blocker rather than a post-launch task, and build it before the new site is finished. Concretely: export every indexed URL from Search Console plus a full crawl of the current site, map each one to its closest equivalent on the new site, and identify pages that are being removed so a deliberate decision is made about each rather than a default 404. Then verify three things on launch day — that redirects resolve in a single hop, that no staging canonical or noindex directive shipped, and that the XML sitemap reflects the new canonical URLs. The most common catastrophic version of this is redirecting everything to the homepage as a catch-all, which Google treats as a soft 404 and effectively discards, so equity that could have been preserved is lost. Two days of mapping prevents six months of recovery.
Which Core Web Vitals problems actually affect rankings, and which are just score-chasing?
The vitals are a genuine ranking input but a comparatively light one, and they act mainly as a tiebreaker between otherwise comparable pages — so moving from poor to good is worth real effort, while moving from good to marginally better is usually score-chasing. What matters far more than the ranking effect is the conversion effect, which is where the money actually is: interaction delay and layout shift directly cost you completed forms and calls. That is why we work from field data rather than lab scores, and why we prioritise by template traffic rather than by which page has the worst number. A failing vital on your highest-traffic service template is worth a week; the same failing vital on an archive page nobody lands on is worth nothing, and treating them as equivalent red items is precisely how generic audits waste budget.
What does "Discovered — currently not indexed" mean, and how do I resolve it?
It means Google knows the URL exists, usually from your sitemap or an internal link, but has decided not to spend a crawl request on it yet. It is a judgment about expected value rather than a technical error, which is why resubmitting in Search Console rarely helps for more than a day. Three causes account for nearly all cases: crawl budget being consumed by low-value URLs elsewhere on the site, content that appears thin or near-duplicate relative to pages already indexed, and almost no internal links pointing at the page, which signals that even you do not consider it important. The fix follows that order — free the crawl budget, make the page genuinely distinct, and link to it from an authoritative parent within two clicks of the homepage. If a page is still not indexed after those three, the honest conclusion is usually that the page does not merit its own URL.
How do staging directives end up on production sites, and how do I prevent it?
Staging environments are routinely protected with a site-wide noindex header or a robots.txt disallow so unfinished work does not get indexed, and the deployment then copies that configuration to production because it lives in the same config file or environment template. It is a genuinely easy mistake, it is invisible to everyone reviewing the visual site, and it can de-index an entire domain within days — we have diagnosed it as the root cause of complete traffic collapses more than once. The prevention is procedural rather than technical: make the production robots.txt, the X-Robots-Tag header and a canonical spot-check explicit gates on the deploy checklist, and add automated monitoring that alerts on any site-wide noindex appearing in production. It costs almost nothing and it protects against the single most expensive technical failure available.
Find out what is actually capping your site
We will run a crawl, render and indexation audit and send you a triaged list ordered by consequence — blockers first, cosmetics last. Not a hundred red items with no priority attached.
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