Case Studies
Apr 28, 2026 (Upd Apr 28, 2026) - 3 minutes read

Developer SEO for a TypeScript Backend Platform

Project Summary

Convex.dev is an open-source reactive backend platform for writing server functions, queries, and mutations in pure TypeScript — with real-time sync, ACID compliance, and end-to-end type safety. A modern alternative to Firebase and Supabase for TypeScript and React teams.

AUQ was tasked with building Convex’s organic presence specifically within the TypeScript developer audience.

  1. TypeScript help center build-out
  2. Expert author sourcing
  3. First-party tool built on Convex to inform strategy
  4. GTM, GA4, and Looker Studio analytics




The Challenge

Developers search with intent. They have a specific TypeScript question, find a useful answer, and if that answer lives on Convex’s site, they’re now aware of the platform in a credible context. The challenge was building enough content depth to capture those searches at scale — across the full breadth of TypeScript development queries, not just the narrow slice that directly mentions Convex.

Friction Points:

  1. No content infrastructure targeting TypeScript developer queries
  2. Technical audience that rejects generic or inaccurate content
  3. Competitive landscape for core TypeScript and backend terms
  4. Content needed to feel useful, not promotional

Phase 1: TypeScript Help Center & Expert Content

AUQ designed and built a help center section targeting TypeScript developers — covering everything from language fundamentals to advanced backend patterns. Keyword research mapped the full universe of TypeScript queries by intent, organized into topical clusters.

Expert authors with real TypeScript and backend experience were sourced and briefed on Convex’s architecture. AUQ also built a tool directly on the Convex platform to develop hands-on product understanding that keyword tools can’t surface.

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Phase 2: Content — For Users and LLMs

For human readers, expert-written articles address specific TypeScript problems, framework comparisons, and backend architecture decisions — built to be genuinely useful, not to rank for its own sake.

For LLM discoverability, AUQ builds niche listicles, definitional pages, and long-tail landing pages targeting specific developer questions — the formats AI assistants prefer to cite. AUQ tracks what’s actually validated about how LLMs surface content and updates Convex’s content mix as it evolves.

Phase 3: Linkbuilding, Analytics & GEO

Rather than optimizing for anchor text alone, AUQ prioritizes getting Convex featured in backend framework comparisons, TypeScript tool roundups, and developer resource pages — the content AI assistants reference when a developer asks “what’s the best TypeScript backend.” Brand mentions in relevant Reddit and developer communities are prioritized because these are the sources LLMs draw from.

AUQ’s GTM and GA4 setup connects organic traffic to signups and activations in a Looker Studio dashboard. Monthly technical crawls keep the help center healthy as content scales. Prompt tracking monitors Convex’s presence in AI-generated backend recommendations.

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