Technical SEO

Technical SEO services that fix what's holding your rankings back

For marketing teams, founders and developers whose sites have outgrown quick fixes. We find the crawl, index, speed and rendering problems that stop good pages from ranking on Google or being cited by AI search, then fix them in your codebase or CMS alongside your developers.

Weeks 1–2full crawl, indexation and Core Web Vitals audit
In your codefixes shipped, not just recommended
35free SEO tools we built and use

Trusted by US teamsin healthcare AI, fintech, AI/ML and B2B software

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The short answer

What are technical SEO services?

Technical SEO services make sure search engines and AI crawlers can find, render, index and understand every page that matters on your site. That covers crawlability, indexation, Core Web Vitals, JavaScript rendering, structured data, site architecture, log files and AI crawler access, with fixes implemented in code rather than left in a report.

Technical SEO is the part of search most teams can't see, and the part many SEO reports stop short of fixing. When it breaks, strong content sits unindexed, product pages compete with their own duplicates and one slow template drags down every page built on it. We find those problems, rank them by business impact and fix them in your stack.

What does a technical SEO agency fix?

A technical SEO agency fixes the infrastructure problems that stop search engines from crawling, rendering, indexing and understanding your pages. That includes crawl waste, indexing gaps, slow Core Web Vitals, JavaScript that hides content, broken structured data, weak site architecture and robots rules that block AI crawlers. The best ones ship fixes, not slide decks.

Crawling and indexing

robots.txt, XML sitemaps, canonicals, noindex rules, redirects, soft 404s and parameter URLs, reconciled against Search Console's Page indexing report.

Core Web Vitals

LCP, INP and CLS diagnosed from real-user field data, then fixed at the template level so every page built on that template improves.

JavaScript rendering

Server-side rendering, static generation or hydration fixes, so content and links exist in the HTML that Googlebot and AI crawlers receive.

Structured data

JSON-LD for Organization, Product, Service, Article, LocalBusiness and BreadcrumbList, validated and matched to what's visible on the page.

Site architecture

Click depth, internal linking, faceted navigation, pagination and URL structure, designed so authority flows to the pages that make money.

Logs and AI crawlers

Server log analysis showing what Googlebot, Bingbot and AI crawlers actually request, plus deliberate allow and block rules for each bot.

Every finding is tied to a page type and a business outcome. A canonical error on a dozen old blog posts is a footnote. The same error on 3,000 product pages is the project.

Why aren't your important pages indexed?

Important pages usually go unindexed for one of four reasons: Google can't reach them, it's told not to index them, it sees them as duplicates of another URL, or it doesn't think they're worth indexing yet. Search Console's Page indexing report gives a reason for each excluded URL, which is where every indexing investigation starts.

We pair that report with a full crawl of your site and compare three lists: URLs in your sitemaps, URLs a crawler can reach through internal links, and URLs Google has indexed. The gaps between them are where problems hide, such as orphaned service pages, staging URLs that leaked into the index, or thousands of filter combinations soaking up crawl attention.

Crawl budget, for what it's worth, is rarely the real issue on small and mid-sized sites. Google's own crawl budget guidance is written for very large or fast-changing sites. For most businesses, indexing gaps come down to duplication, thin templates or weak internal linking, and all of those are fixable.

Our technical SEO checklist lists the checks we run. You can test your own robots.txt with the free robots.txt checker, and if your CMS produces a messy sitemap, the XML sitemap generator builds a clean one from a list of URLs.

How do you improve Core Web Vitals?

You improve Core Web Vitals by fixing what slows real visitors down: a heavy hero image or slow server for LCP, long JavaScript tasks for INP, and late-loading ads, fonts or embeds for CLS. The key is fixing templates rather than individual pages, then confirming the change in field data, not just a lab score.

MetricWhat it measuresGoogle's "good" thresholdFixes we commonly ship
Largest Contentful Paint (LCP)How fast the main content loads2.5 seconds or lessFaster server response, a preloaded and compressed hero image, less render-blocking CSS and JavaScript
Interaction to Next Paint (INP)How quickly the page responds to clicks, taps and key presses200 milliseconds or lessBreaking up long tasks, deferring third-party scripts, trimming tag managers and heavy components
Cumulative Layout Shift (CLS)How much the layout moves while loading0.1 or lessReserved space for images, ads and embeds, stable font loading, no content injected above what's already shown

Google assesses each metric at the 75th percentile of real page loads, and INP replaced First Input Delay as a Core Web Vital in March 2024, according to Google's Core Web Vitals documentation. Lab tools like Lighthouse are useful for debugging, but the field data in Search Console is what counts.

Note: Google treats Core Web Vitals as part of page experience, but it also says good scores alone don't guarantee good rankings. Relevance still comes first. We prioritize speed work when it's clearly holding back conversions or competitive pages, not to chase a perfect score.

Can Google and AI crawlers see your JavaScript content?

Google usually can, eventually. Googlebot renders pages with an up-to-date version of Chromium, but rendering can lag behind crawling, and errors can leave content or links invisible. Many AI crawlers don't run JavaScript at all, so content that only appears after client-side rendering may never reach ChatGPT, Perplexity or Claude.

We test this directly. We compare the raw HTML response with the rendered DOM for every key template, check the output of Search Console's URL Inspection tool, and fetch pages the way AI crawlers do. When content is missing from the raw HTML, the fix is usually server-side rendering or static generation for the affected routes, which frameworks such as Next.js and Nuxt support. This is where technical SEO and AI SEO overlap most.

We avoid dynamic rendering, serving bots a different version than users, as a long-term fix. Google's JavaScript SEO documentation now describes it as a workaround rather than a recommended solution. Links also need to be real <a href> elements, because Google says it can only reliably follow links built that way.

How do schema and site architecture help rankings?

Structured data helps search engines understand what a page is about and makes it eligible for rich results, while site architecture tells them which pages matter most. Neither is a ranking shortcut. Both remove ambiguity, so the right page ranks for the right query and important pages get crawled and refreshed more often.

For schema, we implement JSON-LD, the format Google recommends, generated from your CMS data so it stays accurate as content changes. We focus on types that still earn rich results or clarify entities, like Product, Organization, LocalBusiness, Article and BreadcrumbList, and we remove stale markup. Google limited FAQ rich results to well-known government and health sites in 2023, so FAQ schema is no longer a quick win for most businesses.

For architecture, we map click depth and internal links from a crawl, then restructure navigation, hub pages and contextual links so revenue pages sit within a few clicks of the homepage. On ecommerce and listings sites, we set rules for faceted navigation so filter combinations don't create thousands of near-duplicate URLs. Our schema markup guide covers the markup side in detail.

What do server log files reveal that crawl tools don't?

Server logs show what search engines and AI bots actually request, not what a crawl tool assumes they'll find. They reveal which sections Googlebot visits most and least, how much crawling is wasted on redirects, errors and parameter URLs, and which AI crawlers are hitting your site and how often.

We verify bot traffic before trusting it, because anyone can fake a user-agent string. Google documents a reverse DNS check and publishes its crawler IP ranges, and OpenAI publishes IP ranges for its bots too. Verified logs then tell us whether a new section is being discovered, whether old URLs still soak up crawl activity after a migration, and whether your rules for GPTBot, OAI-SearchBot or PerplexityBot are doing what you intended.

Log analysis matters most for large sites, ecommerce catalogs and anything recently migrated. For a 40-page service business, Search Console's Crawl Stats report usually tells us enough. Either way, the free AI agent readiness check is a quick first look at how your pages appear to AI crawlers.

How does our technical SEO engagement work?

Our technical SEO engagements run in four stages: a full crawl and data review, a prioritized fix list, implementation in your code or CMS, and verification once Google has recrawled. We work directly with your developers or make the changes ourselves, and nothing is marked done until we've confirmed it in Search Console or the live HTML.

  1. Audit. In weeks one and two: a full crawl, Search Console and analytics review, Core Web Vitals field data, rendering tests, a log sample where available, and an AI crawler access check.
  2. Prioritize. Every issue is scored on impact, effort and risk, then grouped into developer-ready tickets with the exact change, the affected URLs and acceptance criteria.
  3. Ship. We implement in your CMS, open pull requests against your repository where you give us access, or pair with your developers, testing on staging before anything goes live.
  4. Verify. We recrawl, check the live HTML and watch Search Console until Google has picked up the change, then move on to the next batch.

Planning a replatform or redesign? Bring us in before launch. Our SEO migration services exist because migration traffic losses are far cheaper to prevent than to repair. If you need a one-time diagnosis rather than ongoing work, start with an SEO audit. And if your site runs on WordPress, our WordPress SEO services cover the platform-specific issues.

Proof

Results for US companies

Outcomes from real engagements in competitive, technical categories.

340xorganic traffic growth for CSSI, a US tax-engineering firm18 months
18.7xorganic traffic growth for RapidClaims, a healthcare-AI platform24 months
$669Kmonthly organic traffic value built for RapidClaimsest. ad-equivalent
45%of Akridata's ranking keywords sit in Google's top 3AI / ML category
CSSITax engineering · B2B
340x
organic traffic growth in 18 months

A US cost-segregation firm with 9 organic visits a month. We rebuilt the site architecture around cost segregation, depreciation and R&D tax-credit silos, then published the explainers CPAs and property owners actually search for.

9 → 3,065monthly organic visits
$364Kmonthly traffic value
FAQ

Technical SEO questions

How long do technical SEO fixes take to affect rankings?
It depends on how quickly Google recrawls the affected pages. Fixes to robots rules, noindex tags or redirects on important pages can show up within days to a few weeks. Template-wide changes like Core Web Vitals take longer to register, because the field data in Search Console reflects a rolling 28-day window of real visits.
Do you need access to our codebase?
Not always. Many fixes can be made in your CMS, tag manager or CDN settings. For framework-level work like rendering or template changes, we either open pull requests in your repository or write developer-ready tickets your team implements. We adapt to your release process, including code review and staging, rather than asking you to change it.
What's the difference between technical SEO and on-page SEO?
Technical SEO covers the infrastructure: whether pages can be crawled, rendered, indexed and loaded quickly. On-page SEO covers the content and HTML elements of individual pages, like titles, headings, copy and internal links. The two meet at templates, which is why we fix them together: one template change can improve thousands of pages at once.
Can you work alongside our in-house developers?
Yes, and that's the most common setup. We write tickets in the format your team already uses, join sprint planning when it helps, review pull requests for SEO impact and test changes on staging. Your developers keep ownership of the codebase; we make sure every change that affects search is done right the first time.
Is technical SEO worth it for a small website?
Usually, yes, though the work is lighter. Small sites rarely have crawl budget problems, but they often have simple issues with outsized impact, such as a stray noindex tag, a slow theme, a missing redirect from an old high-traffic URL or duplicate versions of the homepage. The audit scales to the size of the site, and so does the fix list.
Does technical SEO help with AI search visibility?
Yes. AI search tools can only cite what their crawlers can reach and read. Allowing the right bots in robots.txt, putting key content in the raw HTML instead of client-side JavaScript, and keeping pages fast and well structured all make your site easier to retrieve and quote in ChatGPT, Perplexity and Google's AI features.
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