B2B SaaS Organic Growth
Rebuilt a B2B SaaS site's technical SEO and content architecture, growing organic traffic 3.4× and cutting its reliance on paid ads.
The Problem
A B2B analytics SaaS was spending heavily on paid acquisition while organic traffic flatlined. Almost none of their product or comparison pages ranked, and the few that did were buried on page two.
Key issues found in the audit:
- Core Web Vitals failing on 70% of pages (LCP over 4s on mobile)
- No structured data anywhere — zero rich results in search
- Thin, duplicated content across dozens of near-identical pages
- A flat URL structure with no topical clustering or internal linking
The Solution
I led a 10-week SEO rebuild, working alongside the product and content teams.
Audit & strategy (weeks 1–2): Full technical crawl, keyword and SERP-gap analysis, and a topic-cluster map built around the buyer's actual search journey.
Technical fixes (weeks 3–6):
- Cut LCP from 4.1s to 1.6s on mobile by fixing render-blocking resources and image delivery
- Added Organization, Product, BreadcrumbList, and FAQ structured data
- Restructured URLs into hub-and-spoke clusters with a deliberate internal-linking matrix
- Fixed crawl budget waste — canonicals, a clean XML sitemap, and a tightened robots policy
Content (weeks 7–10):
Consolidated thin pages into authoritative pillar pages, and wrote comparison and integration pages targeting high-intent, low-competition queries.
The Outcome
3.4× organic traffic within six months of the rebuild
Core Web Vitals: all green across the site (from 30% passing to 100%)
Paid spend cut by 40% as organic took over top-of-funnel acquisition
The new comparison pages alone drove a steady stream of high-intent demo requests — at a fraction of the cost per lead of the paid channel they replaced.
This is the kind of work my SEO services focus on. For a related build, see the e-commerce performance rebuild, or start a conversation about your site.
Tech Stack
- SEO: Ahrefs, Google Search Console, Screaming Frog, schema.org / JSON-LD
- Frontend: Next.js, TypeScript, structured data, image optimization
- Performance: Core Web Vitals tuning, edge caching, Lighthouse CI