Growth idea action plan
llms discovery headers on every page
Add `Link` and `X-Llms-Txt` headers to normal page responses so an agent can find your machine-readable corpus before it starts crawling blindly.
Why this can grow a startup
A lot of discovery friction happens before an agent reads a single paragraph. When ordinary page responses advertise where the structured corpus lives, the site becomes easier to interpret with fewer wasted fetches. It is a small technical move that makes the content layer easier to find without changing your visible UX.
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
- Define one narrow startup segment where llms discovery headers on every page can create a measurable lift.
- Turn the tactic into one offer, page, campaign, or workflow for the SEO and AI Search channel.
- Use the evidence from mintlify.com to set the first version of the message, format, and audience.
- Launch a small test for 7 to 14 days with one success metric: one measurable growth signal.
- Review the result, keep the winning message, remove weak variants, and turn the learning into a repeatable growth playbook.
Source-backed example
Mintlify adds `Link` headers pointing to `/llms.txt` and `/llms-full.txt`, plus an `X-Llms-Txt` header, on every page response so AI tools can discover the files without prior knowledge.
Source: Mintlify Docs (mintlify.com)
GrowthDex source hub: Mintlify Docs
Last checked: 2026-05-27
Adjacent tactics in the same lane
If this page is close to your problem, these tactic pages usually belong in the same working set.
- Well-known llms aliases for agent compatibility same source · 3 shared channels · 3 shared stages
- llms-full single-file context export same source · 2 shared channels · 2 shared stages
- Reverse-proxy forwarding for agent skill paths same source · 2 shared channels · 2 shared stages
- Explicit AI-bot allowlist in robots.txt 3 shared channels · 3 shared stages
Related GrowthDex essays
- The agent-ready page should announce itself seo, AI discovery, documentation
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GrowthDex starts with tactics that founders, marketers, and product teams have actually tried. Each essay turns the evidence into a practical move you can test without pretending one case study is a guarantee.
Ian Goh has helped grow consumer platforms across Southeast Asia, India, and MENA. His work includes scaling Tiki to 100M+ users, doubling BIGO's MENA revenue in 7 months, and increasing OYO's direct booking share across 6 Southeast Asian markets.
- Helped scale Tiki to 100M+ users.
- Doubled BIGO's MENA revenue in 7 months.
- Raised OYO's direct booking share by 50% across 6 Southeast Asian markets.
Want help turning this into a growth system?
If you want someone to pressure-test this against your real market, Ian works with founders on growth, market entry, and operator-led distribution.
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