Most SEO engagements start with content. We start with the crawl. If Google cannot access, render, and index your pages correctly, content is wasted budget.
We fix the technical foundation, build content architecture that earns authority, and extend visibility into AI-driven discovery channels - Perplexity, ChatGPT, Gemini.
Enterprise sites accumulate technical debt silently. Crawl budget wasted on faceted navigation. Canonicalization errors that split link equity. JavaScript rendering that hides content from Googlebot. Hreflang implementations that contradict themselves across 4 markets.
None of this shows up in a rankings dashboard. It shows up as a ceiling - organic performance that plateaus regardless of how much content you publish.
We audit before we build. Every time. No exceptions.
The foundation. Nothing else starts until this is verified.
We open the containers. Crawl budget waste, orphaned pages, misconfigured robots.txt, noindex leaks, redirect chains, and canonicalization errors - identified and prioritized before any content work starts.
URL structure, faceted navigation, pagination, silo logic, and internal link equity distribution. Architecture decisions that compound over time - not ones you have to undo in 18 months.
LCP, CLS, INP - diagnosed at the infrastructure level. JavaScript rendering issues, server response times, resource loading order. We fix what blocks Google from seeing your pages correctly.
Entity-level schema implementation: Organization, Product, FAQ, Article, BreadcrumbList, HowTo. Structured data that feeds both traditional search and AI-driven answer engines.
Server log analysis to verify what Googlebot actually crawls vs. what you think it crawls. GSC coverage reports cross-referenced with crawl data to surface indexation gaps.
Hreflang implementation, x-default logic, language-specific canonical architecture, and crawl budget management across multi-country, multi-language deployments.
Search behavior is shifting. A growing share of queries never reach a SERP - they are answered directly by AI systems. Visibility in those answers requires a different layer of optimization.
Structured data and entity disambiguation so AI systems can correctly identify and represent your brand, products, and expertise in generated answers.
Content formatted for AI extraction: clear definitions, concise summaries, FAQ schema, and factual claims structured for citation. Not keyword stuffing - information architecture.
Editorial placements, co-citations, and brand mentions in sources that AI training data and retrieval systems treat as authoritative. Visibility in AI answers requires presence in the right places.
We test how your brand, products, and category terms appear in AI-generated responses across major LLM platforms - and identify the gaps between your current presence and where you should be.
Built on top of a verified technical foundation. Content that earns rankings and moves buyers - not content that fills a calendar.
Hub-and-spoke content clusters built around your core service pages. TOFU/MOFU/BOFU structure that signals expertise to search engines and guides buyers through the funnel.
Content written to rank and convert - not fill word counts. Every page has a clear intent, a clear CTA, and a clear role in the funnel.
GA4-connected dashboards tracking organic revenue, not just traffic. Rankings, CTR, and conversion data in one view you can act on.
Crawl analysis, log file review, indexation audit, Core Web Vitals baseline, schema coverage, and architecture assessment. Two days. No assumptions.
Prioritized remediation of crawl and indexation blockers. Architecture decisions locked before content work starts.
Hub pages defined, cluster topics mapped, internal linking logic documented, content calendar built around search demand and funnel stage.
Brief creation, editorial coordination, on-page optimisation, structured data implementation, and monitored deployment.
Entity optimization, answer-formatted content, and authority signal building for LLM-driven discovery channels.
Crawl re-run, coverage drift check, ranking and revenue tracking, AI visibility monitoring. The system stays honest as it compounds.
Two days to understand where you are. Crawl data, indexation coverage, Core Web Vitals, and AI visibility baseline. Then we build the architecture that compounds.
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