Resell technical SEO, schema, and structured data engineering under your agency's brand. Enterprise-grade infrastructure your clients see as yours.
Most SEO is guesswork dressed up as strategy. We approach search optimization as an engineering discipline — systematic, measurable, and reproducible.
Every recommendation is backed by data. Every implementation is tested. Every result is measured against clear KPIs. This is search infrastructure, not SEO services.
Deep crawl analysis, rendering audits, and indexation strategy. We diagnose every technical barrier between your content and search visibility.
Organization, Product, FAQ, How-To, Article — we implement the full spectrum of structured data that search engines and AI models consume.
Programmatic internal linking systems that distribute authority and create clear topical hierarchies search engines can follow.
Performance optimization at the code level. We don't just measure Core Web Vitals — we engineer the infrastructure to ace them.
Ensure search engines spend their crawl budget on your most valuable pages. Smart robots.txt, sitemap strategy, and canonical management.
Hreflang implementation, geo-targeting architecture, and multi-language content systems for global search visibility.
Start with a comprehensive technical audit. We'll identify every opportunity and build the infrastructure to capture it.
A systematic, measurable, repeatable process — from crawl audit to structured data to Core Web Vitals — that builds search visibility you can compound on.
We run a full crawl with Googlebot, Bingbot, and AI bot user agents, audit how your pages render with and without JavaScript, and document every indexation, canonical, redirect, and rendering issue blocking your visibility.
We restructure site hierarchy, URL patterns, breadcrumbs, and internal linking so every page has a clear topical role, distributes authority efficiently, and forms a graph search engines can confidently traverse.
We design and deploy a full JSON-LD schema layer — Organization, Article, Product, FAQPage, HowTo, BreadcrumbList — engineered for both Google rich results and AI model consumption, with validation and ongoing monitoring.
We optimize at the code and infrastructure level — server-side rendering, edge caching, image and font delivery, JavaScript hydration — so LCP, INP, and CLS pass on real-user data, not just lab tests.
We build topic clusters around your highest-value queries, engineer hub-and-spoke linking, and align on-page content with both keyword and entity signals so search engines treat you as the authoritative source for your category.
We deploy programmatic sitemaps, real-time indexation monitoring, and a measurable KPI dashboard, then iterate monthly based on log files, Search Console data, and rank movement — engineering, not guesswork.
Most SEO agencies sell deliverables. We engineer search infrastructure. Here's the honest, line-by-line comparison.
| Dimension | Novus AEO | Typical Agency |
|---|---|---|
| Discipline | Treat SEO as an engineering discipline — systematic, measurable, and reproducible at the code and infrastructure level. | Treat SEO as marketing opinion — checklists, vibes, and quarterly "audits" with no engineering rigor. |
| Technical Audit | Full crawl with Googlebot, Bingbot, and AI bot agents plus rendering, log file, and indexation analysis. | Screaming Frog scan exported to a spreadsheet with no rendering, log, or AI bot coverage. |
| Structured Data | Engineered JSON-LD layer — Organization, Article, Product, FAQPage, HowTo, BreadcrumbList — validated and monitored. | Plugin-default schema, often broken, rarely validated, never monitored. |
| Core Web Vitals | SSR, edge caching, and hydration tuning at the code level so LCP, INP, and CLS pass on real-user data. | Lab-only Lighthouse scores and "install a caching plugin" advice that never moves field metrics. |
| Internal Linking | Programmatic hub-and-spoke linking and topic clusters that distribute authority where it converts. | Manual contextual links added when someone remembers, with no architecture behind them. |
| Reporting | Live KPI dashboard tied to Search Console, log files, and revenue — engineering, not vanity. | Monthly PDF of keyword positions disconnected from indexation, rendering, or business outcomes. |
Treat SEO as an engineering discipline — systematic, measurable, and reproducible at the code and infrastructure level.
Treat SEO as marketing opinion — checklists, vibes, and quarterly "audits" with no engineering rigor.
Full crawl with Googlebot, Bingbot, and AI bot agents plus rendering, log file, and indexation analysis.
Screaming Frog scan exported to a spreadsheet with no rendering, log, or AI bot coverage.
Engineered JSON-LD layer — Organization, Article, Product, FAQPage, HowTo, BreadcrumbList — validated and monitored.
Plugin-default schema, often broken, rarely validated, never monitored.
SSR, edge caching, and hydration tuning at the code level so LCP, INP, and CLS pass on real-user data.
Lab-only Lighthouse scores and "install a caching plugin" advice that never moves field metrics.
Programmatic hub-and-spoke linking and topic clusters that distribute authority where it converts.
Manual contextual links added when someone remembers, with no architecture behind them.
Live KPI dashboard tied to Search Console, log files, and revenue — engineering, not vanity.
Monthly PDF of keyword positions disconnected from indexation, rendering, or business outcomes.
Technical architecture audits, JSON-LD schema markup systems, internal linking architecture, Core Web Vitals engineering, crawl budget optimization, server-side rendering audits, and programmatic sitemap generation. Everything is implemented as systems, not one-off fixes.
Yes. We implement hreflang at scale, geo-targeting architecture, and multi-language content systems for brands that need global search visibility across regions and languages.
We treat search optimization as an engineering discipline rather than a marketing service. Every recommendation is data-backed, every implementation is tested, and every result is measured against clear technical KPIs — not vanity metrics.
Yes. We routinely deliver implementation specs, schema templates, and technical guidance for in-house engineering teams. We can also implement directly when that is faster.