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B2B SaaS SEO & AI Visibility Strategy (Lead Generation Focus)
Led a full SEO and AI visibility strategy for a B2B SaaS platform targeting mid-market companies.
The project started with a technical and semantic audit, identifying gaps in site structure, weak internal linking, and lack of content aligned with high-intent queries.
I developed a content and SEO strategy focused on:
• High-intent keyword targeting (BOFU/MOFU)
• Creation of use-case and comparison pages
• Internal linking and content clustering
• Optimization for AI visibility (structured content, FAQs, entity alignment)
Results
Significant increase in qualified organic traffic
Improved rankings for commercial keywords
Better visibility in AI-driven search tools
Increase in inbound demo requests
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Most developers think their job is to build features.
Forms. Dashboards. APIs.
Ship it. Move on.
A recent project changed that.
We’re building DCB Holistic for canine nutrition expert Dr. Conor Brady.
It looked like a typical SaaS: dashboard, AI tools, subscriptions. But the real problem wasn’t software — it was scaling expertise.
One expert can only help so many dog owners. So we built a system that turns knowledge into a product:
• tracks a dog’s health history
• analyses symptoms and diet
• generates AI health insights
Stack: React · Express · PostgreSQL
Toughest part? Designing the data model, diet, symptoms, gut health, vet reports. Once solid, AI connects the dots.
Software isn’t about shipping features. It’s about scaling knowledge.
How do you approach it: start with features, or the problem that needs to scale?
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