Alloy BotsAI

By Alloy · · Markdown

Why agent-friendly sites win

Answer first: if agents cannot fetch clean facts, they invent them — or skip you. Ship /llms.txt, markdown twins, and a for-agents entry.

The problem

HTML is for humans. Navigation, chrome, and scripts waste tokens and blur the product card. Agents need a short map, then deep markdown on demand — the pattern formalized at llmstxt.org (v2).

What “agent-friendly” means here

Curated overview at /llms.txt (H1 + blockquote + H2 link lists to markdown). Twins at page.md (or index.md). Link relations: rel="alternate" type="text/markdown" and rel="describedby" href="/llms.txt". Robots that allow GPTBot, ClaudeBot, PerplexityBot, Google-Extended — and never block llms.txt.

GEO is just accuracy under a new name

Generative-engine answers reward sites that state prices, SLA, and ownership without fluff. Fake testimonials and vague “we’re a team of experts” copy lose. Exact SKUs and agent cards win.

What Alloy Bots shipped

This parent site implements the stack end-to-end: llms.txt, AGENTS.md, for-agents, markdown twins, sitemap including .md, JSON-LD, and agents.json. Explorer #1 (Briefcase) keeps the transactional product card on its own domain.

Practical checklist

  • One sentence answer at the top of every page
  • Machine card that agents can copy verbatim
  • Markdown twin for every key HTML page
  • Articles dated, authored, and answer-first