AI SEO at Scale
Programmatic SEO across niches: keyword research, brief generation, AI-drafting, content modeling, and deploy at scale.
DataForSEO for keyword data, Surfer or Frase for briefs and content scoring, Sanity for the content model, Astro + Cloudflare Pages for the static deploy. Webflow only as the marketing-page layer when needed.
Programmatic SEO works when the pipeline is automated end to end: keyword harvest → cluster mapping → brief → AI draft → editor pass → publish → re-rank. Each step has tools that have shipped this year and integrate cleanly. The stack below is what runs Another live publication — same exact playbook, different vertical.
Direct API access to Google's SERP data. Cheap, fast, and you control the cluster grouping rather than depending on a vendor's opinion of relatedness. Pull volumes, intent, SERP features, and competitors in one call.
Both score drafts against the live SERP. Surfer is more rigid (NLP terms, headings, word count). Frase is more editor-led. Pick whichever your writing flow prefers — for AI-drafting Frase tends to play nicer.
Schema-as-code means every article has a typed shape: keyword, cluster, intent, internal links, FAQ schema, last-tested date. Editors stay in the Studio; the frontend renders structured templates from the schema.
Astro builds 1.000+ pages in seconds. Cloudflare Pages serves them globally for free. ISR is unnecessary at this scale — rebuild on Sanity webhooks (sub-30s for the whole site) and forget about caches.
Pick this when search is your primary distribution and you have at least 6-12 months of runway. Don't pick it if your audience is paid-traffic-driven (the SEO compounding curve takes too long) or if your content is news-cycle-fast (Sanity → static rebuild adds friction; you'd want SSR for that).