The Foundation
AI Search
Is Built On.
Crawl budget. Core Web Vitals. Schema architecture. JavaScript rendering. Log-file forensics. International hreflang. The engineering layer that decides whether an LLM sees your content at all — and whether it trusts what it sees.
If the crawler can't fetch it, the LLM can't learn it.
There's a persistent fantasy that AI search has made technical SEO obsolete. It has done the opposite. Every answer engine in the market — GPTBot, ClaudeBot, PerplexityBot, Google-Extended, Applebot-Extended — is fundamentally a crawler sitting on top of a render pipeline sitting on top of an index. If any of those three layers is broken on your site, your content never enters the LLM's training or retrieval graph.
What has changed is the stakes. When a misconfigured canonical drops a page from classical Google, you lose some clicks. When it drops the same page from the LLM corpus, you lose the citation — which is the shortlist — which is the deal. Technical SEO is no longer a hygiene layer. It is the gate.
Our technical SEO engagement.
Five phases. Every finding is reproducible. Every fix is a ticket your engineering team can actually ship.
-
01
Full-Site Crawl & Render Audit
Large-scale crawl with server-side and client-side rendering comparison. We see what Googlebot and GPTBot each see — and where they diverge. Discovery of orphan pages, crawl traps, infinite parameter loops, and JavaScript SEO failures.
-
02
Log-File Forensics
We analyze 30–90 days of server logs to see which crawlers actually fetch your site, how often, and which URLs are wasting crawl budget. Most clients learn, for the first time, that half their Googlebot budget is being burned on faceted filter URLs nobody should index.
-
03
Core Web Vitals & Performance
Real-user and lab measurement of LCP, INP, CLS across templates. Render-blocking resource elimination, font strategy, image pipeline, third-party script triage. Shipped as a prioritized set of engineering tickets with budgets and acceptance criteria.
-
04
Schema & Entity Architecture
A unified JSON-LD architecture across the site: Organization, Service, Product, Article, FAQPage, HowTo, BreadcrumbList — with stable entity IDs that resolve across pages and link into external knowledge graphs. Schema is where most sites ship noise. We ship signal.
-
05
International & Migration Safety
For multilingual and multi-country sites: hreflang audit, canonical consistency, per-market entity disambiguation. For replatforms and redesigns: pre-migration mapping, staging validation, post-launch monitoring. Migrations are where rankings die. We make sure yours doesn't.
Every layer of the pipeline.
Crawl & Indexability
robots.txt, meta robots, canonicals, sitemaps, noindex audits, parameter handling, faceted navigation.
Core Web Vitals
LCP, INP, CLS optimized at template level. Real-user monitoring. Per-route performance budgets.
JavaScript SEO
SSR, ISR, partial hydration, client-only pitfalls. Frameworks we work with daily: Next.js, Nuxt, Astro, Remix, SvelteKit.
Schema & Structured Data
Unified JSON-LD, stable entity IDs, validation against Google and Schema.org specs.
International & hreflang
Multi-country, multi-language architecture. Country selectors, canonical strategies, entity-per-market modelling.
Log-File Analysis
Crawl budget forensics. What Googlebot, GPTBot, PerplexityBot and ClaudeBot actually fetch.
Migration Safety
Pre-migration mapping, staging validation, post-launch monitoring. The least glamorous work. The most protective.
Internal Link Graph
PageRank flow modelling, orphan page discovery, topical cluster reinforcement.
Concrete, shippable, actionable.
- Full technical audit, prioritized by impact and effort.
- Reproducible tickets in your team's issue tracker (Jira, Linear, GitHub).
- Log-file analysis report with crawler-by-crawler breakdown.
- Core Web Vitals dashboard — per template, per device.
- Unified schema architecture, documented and validated.
- hreflang & canonical map for multilingual setups.
- Migration safety plan if you're replatforming or redesigning.
- Direct engineering channel — no account manager in the middle.
- Monthly technical health report, automated where possible.
Technical SEO — common questions.
Do I still need technical SEO if I'm focused on GEO and AEO?
Yes — arguably more than ever. AI search engines rely on the same crawl, render and indexing pipeline as classical search. If pages are slow, blocked, poorly structured or broken in JavaScript rendering, the LLM never sees them.
What does a technical SEO audit actually include?
Full-scale crawl, render-path analysis, Core Web Vitals, log-file forensics, schema validation, internal link graph, hreflang integrity, canonical consistency, JavaScript SEO and migration-safety review.
Can you work with our developers, not replace them?
That's how we prefer to work. We ship prioritized, reproducible tickets in your team's issue tracker with acceptance criteria. No black-box reports nobody can action.
Do you handle international and multilingual sites?
Yes. Multilingual DACH architecture, full hreflang implementation, per-country canonical strategies and language-aware entity modelling are some of our most common engagements.
How do you handle site migrations?
Pre-migration URL mapping, staging validation, launch-day monitoring, post-launch recovery plan. Migrations kill rankings when they're treated as a pure dev project. We make sure yours doesn't.
Complete the picture.
Fix the foundation. Everything else compounds.
Free technical audit. Reproducible findings. Response in one working day.