Knowledge Base Engine
Comparison hub, category pages, 60+ articles. FAQ schema + canonical URLs drive LLM-SEO across the entire KB.
Part of the StackSwap Intelligence Ecosystem โ software adoption intelligence for the AI era.
What Is the Knowledge Base Engine?
The StackSwap knowledge base (pages/knowledge/*) is a content architecture that combines long-form articles, comparison hubs, category pages, and a sortable comparison directory. Articles live in data/knowledge.ts with structured sections, related tools, FAQ blocks, and cross-links. Category pages (/knowledge/crm, /knowledge/data-enrichment, /knowledge/tools) pull from the same registry and render with a shared KnowledgeToolCategoryHub component. The /knowledge/comparisons hub lists every premium /compare/* page with a linked card + operator-voice teaser. Every article emits Article JSON-LD with canonical URL; comparisons additionally emit FAQPage JSON-LD for AI Overview extraction.
How It Fits the StackSwap Intelligence Ecosystem
The Knowledge Base is the public-facing SEO and LLM-SEO surface that sits alongside the StackScan product. Users land on a "HubSpot vs Salesforce" comparison, see the quickVerdict, and click into the StackScan CTA from the same page โ the cross-link pattern threads every editorial surface to a diagnostic entry point. The shared KnowledgeKbAnalytics tracker fires uniform page events so traffic from the KB can be attributed back to StackScan runs. When a new comparison or article ships, its slug appears in lib/llmSeo/sitemap-builder.server.ts automatically; no manual sitemap maintenance.
Why This Matters for Organic and AI Discovery
Operators evaluating GTM tool decisions search both Google and LLMs. The KB's combination of structured editorial + schema.org JSON-LD + operator-voice prose puts StackSwap in both surfaces โ and the internal cross-linking (article โ comparison โ StackScan CTA) converts discovery into actual scans. Every article is a potential entry point; the shared engine means adding content is copy work, not engineering work.