Technical SEO for B2B SaaS & Fintech

Engineering grade organic growth. Foundation first.

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Technical SEO and organic growth for complex platforms

We provide technical audits at the code level from our experience at Oligamy Software, site architecture restructuring, Core Web Vitals optimization, content strategy, and international SEO. We fix the foundation before writing a single blog post.

The Difference: We achieved a 98/100 mobile SEO score (PageSpeed Insights) for a cybersecurity B2B platform: 1.1s FCP, 0ms TBT, 0.001 CLS. We treat SEO as an engineering discipline, not a content farm exercise.

Our SEO Engineering Process

01

Technical Audit

Deep dive into code level, crawlability, and indexation mapping.

02

Architecture & CWV

Restructuring site hierarchy and optimizing Core Web Vitals for speed.

03

Content Strategy

Keyword mapping aligned with technical buyer search intent.

04

Growth & Scale

Ongoing authority building and international SEO expansion.

98/100 Mobile SEO Score

Achieved for a cybersecurity B2B platform using PageSpeed Insights. Each slice of the outer ring represents one specific optimization. Hover to see exactly what we did and how many points it contributed.

Performance

98/100

LCP

1.1s

TBT

0ms

CLS

0.001

Hover over a segment to see each optimization and its contribution to the final score.

PageSpeed

98

/ 100

Deep Tech SEO Solutions

Technical SEO Audit

Comprehensive analysis of code, structure, and crawl performance.

Code Level Optimization

Optimizing HTML, CSS, and JS for crawlers and performance.

Site Architecture Design

Building scalable internal linking and URL structures.

Core Web Vitals Repair

Hardening LCP, TBT, and CLS scores for maximum ranking impact.

International SEO

Correct hreflang implementation and multimarket site architecture.

Authority Content Mapping

Clustering content to dominate high intent technical search terms.

Common questions

A code level crawlability analysis, indexation mapping, rendering analysis for JavaScript heavy sites, Core Web Vitals measurement (LCP, TBT, CLS), mobile first compliance check, site architecture review, and a prioritized remediation roadmap. We treat it as an engineering audit, not a checklist.

We achieved 98/100 mobile SEO score on PageSpeed Insights for a B2B cybersecurity platform: 1.1s First Contentful Paint, 0ms Total Blocking Time, 0.001 Cumulative Layout Shift. The result came from specific optimizations including image conversion, JS bundle cleanup, edge caching, and critical CSS extraction.

Yes. We implement correct hreflang architecture, advise on ccTLD versus subdomain versus subdirectory strategy, and build multi language content architecture optimized for both crawlers and international search intent.

The audit and technical repair phase typically runs 4 to 6 weeks as a one off engagement. Ongoing content strategy and authority building is available as a monthly retainer starting after the foundation is stable.

We audit your rendering strategy end to end. For Next.js applications, we evaluate whether your routes use static generation, ISR, SSR, or dynamic rendering and whether each strategy supports SEO. For other SPAs, we measure Time to First Byte and when your critical content becomes available to crawlers using Chrome rendering simulation. The fix typically involves moving authentication and navigation to the server, implementing dynamic rendering fallbacks for JavaScript heavy pages, or restructuring your URL scheme to reduce JavaScript dependency. One client had 40% of their product pages uncrawlable due to JavaScript interaction requirements. We moved to SSR and dynamic metadata rendering, which enabled indexation of 200+ pages and increased organic traffic 35%.

Structured data (JSON-LD, microdata) tells search engines what your content represents in a machine readable format. A page is not just words to a crawler. It's an Organization with a location, a SoftwareApplication with features and reviews, or a FinancialProduct with terms and APR. Structured data itself is not a ranking factor, but it enables three things. First, it qualifies pages for rich results (ratings, pricing, FAQs, code snippets). Second, it improves crawlers understanding of your content, which indirectly supports rankings. Third, and increasingly important, it improves your chances of being cited in answer engine synthesis. We implement schema for your primary content types and validate correctness using Google's Rich Results Test. We prioritize Question, Answer, and Definition schema for SaaS and fintech companies since those formats improve discoverability in search generative interface results.

Critical. Site architecture determines how efficiently crawlers navigate and prioritize your content. A flat URL structure (all pages at the same level) does not communicate topic relationships and burns crawl budget. A hierarchical structure (category, subcategory, topic) signals importance and improves crawl efficiency. We audit your internal linking, canonicalization, and handling of dynamic content (filters, pagination). For large SaaS platforms with thousands of pages or generated product listings, incorrect canonicalization can create thousands of near duplicate pages that consume crawl budget. We implemented dynamic canonicalization for a fintech client with 500k pricing page variations and freed budget for 5000 new content pages.

Yes. This is our core market. We have managed technical SEO for consumer lending platforms, B2B fintech infrastructure companies, and regulated investment platforms across Poland, Czech Republic, Spain, Mexico, and Latvia. Our audits include compliance mapping against Google Ads and Meta policies, restricted claim screening, and jurisdiction-specific disclosure requirements. We build market-specific technical architecture where needed, including separate country specific implementations when different markets have different compliance requirements. Zero technical compliance violations across all fintech engagements.

JavaScript Rendering and Next.js Site Architecture

Modern SaaS and fintech platforms rely on JavaScript-heavy frontends and single-page applications to deliver user experience. But JavaScript creates a crawlability gap. Google's crawler can render JavaScript, but not all crawlers move as quickly as your site does. The result: indexation lags, dynamic content stays buried, and your real product value doesn't surface in search results.

We audit the full rendering pipeline of your site. For Next.js applications, we evaluate whether you're using static generation, incremental static regeneration (ISR), server side rendering (SSR), or dynamic rendering, and whether each strategy actually serves SEO. A common mistake: over-relying on client side JavaScript when SSR would deliver content immediately to crawlers. For single-page applications built on React, Vue, or other frameworks, we identify rendering bottlenecks that delay content delivery to Google. We measure actual Time to First Byte, First Contentful Paint, and when critical text content becomes available to crawlers using real world Chrome DevTools simulation.

The fix typically involves one or more of: moving rendering server-side where feasible, implementing dynamic rendering fallbacks, optimizing the critical rendering path, or restructuring your navigation to avoid JavaScript dependency for core content discovery. One cybersecurity client had 40% of their product differentiation hidden behind JavaScript interaction. We moved authentication pages to SSR and implemented dynamic metadata rendering, which enabled indexation of 200+ previously uncrawlable product pages.

Structured Data and Answer Engine Optimization

Structured data markup (schema.org JSON-LD, microdata, RDFa) tells search engines and answer engines exactly what your content represents. A page is not just words. It's a Software product with features, a Company with a location, a Question with an Answer. Machines understand your content through schema markup.

We implement structured data for your primary content types. For B2B SaaS, this includes Organization, SoftwareApplication, LocalBusiness, Service, and BreadcrumbList. For fintech companies offering lending or financial products, we implement FinancialProduct schema with correct APR, terms, and regulatory compliance signals. We audit your existing markup using Google's Rich Results Test and validate that your schema is both technically correct and actually reachable by crawlers (a common failure point when schema is hidden in JavaScript).

Answer Engine Optimization is the newer frontier. LLMs and search generative interfaces extract structured data from pages to synthesize answers. Correct, unambiguous schema markup improves your chances of being cited as a source. We map your highest value query clusters (the ones worth owning) to appropriate schema types and ensure that your content structure actually supports extraction. A legal tech SaaS client embedded Definition schema for compliance terms and FaqPage schema for their knowledge base. Within four weeks, their content began appearing in search generative interface answer synthesis.

Crawl Budget and Site Architecture Patterns

Crawl budget is your allocation of crawler bandwidth. Google allocates more crawl budget to large, important sites and less to small ones. Every page on your site competes for that budget. Inefficient site architecture burns crawl budget on non-critical pages, leaving important pages under-crawled.

We design site architecture patterns that maximize crawl efficiency. This starts with URL structure. A well-designed URL hierarchy communicates importance and topic clustering to crawlers. Flat structures (example.com/pages/page1, example.com/pages/page2) waste hierarchy. Hierarchical structures (example.com/products/software/features, example.com/products/software/pricing) signal topic relationships and improve crawl efficiency. We audit your internal linking architecture to ensure authority flows to your highest-value pages. Orphaned pages waste crawl budget. Pages with excessive cross-linking confuse crawlers about which pages matter most.

For SaaS companies with large product databases or filtered product listings, we implement correct canonicalization and handle faceted navigation so that search engine crawlers don't waste budget crawling duplicate content. A fintech lending platform had 500k variations of pricing pages generated by different filter combinations. We implemented dynamic canonicalization that consolidated those variations into 12 definitive pages, freeing crawl budget for new product pages and content.

Technical SEO Audits for Regulated Markets

Financial services, healthcare, and regulated lending face additional technical SEO constraints. You cannot simply optimize for rankings. You must optimize for compliance first, rankings second.

We conduct technical audits specifically for regulated fintech companies. Our audit includes ad policy compliance mapping (Google, Meta, and platform-specific ad policies), financial services keyword restrictions, and restricted claim screening. We identify which pages are eligible for paid traffic and which must be organic only. We audit your compliance with disclosure requirements and ensure that critical compliance information is not hidden behind JavaScript interaction or user interaction requirements.

For consumer lending platforms operating across multiple jurisdictions (Poland, Czech Republic, Spain, Mexico, Latvia), compliance varies by market. We build market-specific technical architecture where needed. This might mean separate subdomains or subdirectories for different regulatory regimes, separate privacy implementations per market, or separate ad policy implementations. A lending client in Latin America required country-specific APR disclosures in the page source (not JavaScript-rendered). We restructured their site to surface those at render time, which improved both crawlability and compliance score.

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