AI Bot UA Classifier
Real-time bot classification engine for AI crawler traffic.
Forged from real client work, proof attached. Pick a piece or take the whole system.
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A master architecture standard for AI-friendly modern websites, distilled from real production postmortems. It frames the big decisions, stack choice (Next.js vs Astro vs Hybrid), rendering strategy, AI-bot compatibility, schema graph structure, and performance budget: into 14 rules, 14 anti-patterns, three concrete stack scenarios, and a 90-day roadmap.
Prices include 20% VAT. · Forged on real agency work · one-time, no lock-in
Inside the run · no black box
Architecture mistakes in SEO are the expensive kind; they surface six months after launch. So the decision work happens before scaffolding: stack choice, anti-pattern audit, a written premortem, and a three-layer surface built for humans and AI crawlers alike.
seo-ai-web-architecture-2026 · core
core active · 6 lines
Choosing a stack and rendering strategy before scaffolding a new site
Auditing an existing site for AI-bot compatibility (llms.txt, markdown twin, ai.txt)
Diagnosing why ChatGPT or Perplexity isn't reading or citing your site
Planning a migration from WordPress or a site builder to a modern jamstack
Designing a multi-locale site architecture for 3+ languages
Building a programmatic-SEO content architecture without boilerplate penalties
Drag time forward. Watch what stays.
Forever
That's what owning means.
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Avoid catastrophic indexing collapses by following deterministic locale-routing rules
license: perpetualPrevent boilerplate duplicate penalties by prioritizing pSEO depth over breadth
license: perpetualGet cited 2-4x more by AI engines with a nested schema graph and discovery layer
license: perpetualHit a clear performance budget with SSG-default rendering and edge-first deployment
license: perpetualsubscriptions expire · deeds don't
Pick a piece up. Watch it work.
14 architecture rules across stack, AI-bot, schema, performance, security, and measurement
6 parts · one working system · ships instantly by email
From the field · a real case
Architects and technical leads making stack and rendering decisions for new or migrating sites that need to be fast, indexable, and citable by AI engines.
then this was forged for you.Universal by design: these run in any AI. Delivered in the open Agent Skills + MCP format (native in Claude); ChatGPT, Gemini, Cursor and Copilot adapt the same files their own way.
No. Alongside stack decisions for new builds, it covers auditing an existing site for AI-bot compatibility, llms.txt, markdown twin, ai.txt, and planning migrations from WordPress or site builders. The 90-day roadmap applies either way.
It's framed as 14 rules and 14 anti-patterns distilled from real production postmortems, spanning stack choice, rendering strategy, schema graph structure, and performance budget. The unit of advice is an architectural decision with before/after code, not a page tweak.
No single answer. It gives a decision tree across three full scenarios. Next.js+Vercel, Astro+Cloudflare, and Hybrid, with trade-offs and FinOps notes. The final call depends on your team and constraints; the tree makes that explicit instead of deciding for you.
By email right after purchase: ready to run, downloaded instantly, no setup wait.
A one-time purchase; no subscription or hidden fees. VAT (20%) is included.
As a digital product, it can’t be refunded once downloaded. That’s why we show exactly what’s inside and who it’s for, right here.