# Onboarding discovery bundle for AI-native sites

> Provision every new content surface with its crawl files from day one: sitemap, llms.txt, robots.txt, and a machine-readable install or query endpoint.

- Canonical HTML: https://growth.iangoh.com/growth-ideas/onboarding-discovery-bundle-for-ai-native-sites/
- Source: [vercel.com](https://vercel.com/blog/how-waldium-made-a-blog-platform-work-for-humans-and-ai-alike)
- GrowthDex source hub: [Vercel Blog](/sources/vercel-blog-vercel-com/)
- Last checked: May 24, 2026
- Rarity: epic
- Budget: medium
- Channels: AI Search, SEO, Website
- Stages: ai-discovery, content-ops, platform
- Key metric: Discovery bundle live in under 5 minutes; 500+ blogs on one deployment with AI query latency under 50ms

## Why this can grow

The discovery layer works best when it ships with the content, not as a cleanup project months later. Bundling those files into onboarding makes machine readability default behavior and keeps new surfaces from becoming invisible to agents. It turns operational discipline into compound discoverability.

## Ian's take

From scaling consumer platforms across MENA and Southeast Asia, my default is to distrust growth work that only looks good in a slide. For SEO and AI search, I care less about clever keyword tricks and more about clarity. A buyer, crawler, or answer engine should quickly understand who this is for, why it works, what proof backs it, and what page deserves to be cited. I would run it small enough to learn quickly, then only scale the parts that real users repeat, save, reply to, or buy from. For this tactic, I would watch one clear growth signal before putting more time or budget behind it.

## Action plan

1. Define one narrow startup segment where onboarding discovery bundle for ai-native sites can create a measurable lift.
2. Turn the tactic into one offer, page, campaign, or workflow for the AI Search and SEO channel.
3. Use the evidence from vercel.com to set the first version of the message, format, and audience.
4. Launch a small test for 7 to 14 days with one success metric: one measurable growth signal.
5. Review the result, keep the winning message, remove weak variants, and turn the learning into a repeatable growth playbook.

## Source-backed example

Waldium gives each new customer blog a sitemap, LLMs.txt, robots.txt, an MCP install page, and a live MCP endpoint in under five minutes, while serving 500+ blogs from one deployment with AI query latency under 50ms.

## Adjacent tactics in the same lane

- [llms.txt plus MCP content corpus for AI discovery](/growth-ideas/llms-txt-plus-mcp-content-corpus-for-ai-discovery/) - same source, 2 shared channels
- [AI-agent auto-detected markdown fallback](/growth-ideas/ai-agent-auto-detected-markdown-fallback/) - 2 shared channels, 2 shared stages
- [Content-negotiated markdown on canonical URLs](/growth-ideas/content-negotiated-markdown-on-canonical-urls/) - 3 shared channels, 1 shared stage
- [sitemap.md semantic discovery map](/growth-ideas/sitemap-md-semantic-discovery-map/) - 3 shared channels, 1 shared stage

## Read GrowthDex essays

Browse the plain-English essay index at [GrowthDex Blog](/blog/).

## Related GrowthDex essays

- [The machine reader is part of the audience now](/blog/the-machine-reader-is-part-of-the-audience-now/) - SEO, AI discovery, content systems

## Advisory

If you want help turning this into a working growth system, Ian Goh offers advisory at https://iangoh.com/advisory.