Control how AI sees your brand. At the edge. In three minutes.

ChatGPT, Claude, and Perplexity are already crawling your site and answering questions about you. ReadyForLLM puts you back in control — ship llms.txt, audit AI bots, and win citations from a single edge worker.

Start in 3 minutes See how it works

The problem

Your website is already serving AI. You're just not in control of it.

Half your traffic now comes from answers, not links. ChatGPT, Claude, Perplexity, and Google's AI Overviews scrape your pages, summarize your brand, and decide what shows up in front of buyers — without telling you, without attribution, and without the rules you'd set if you knew they were watching.

of search shifting to AI answers by 2027: 60%+
control most teams have over what gets cited: 0
is all it takes to take it back: 1 file

How it works

Three steps. One afternoon. Permanent control.

Drop in the edge snippet
One line of HTML or a Cloudflare Worker route. No code changes, no rebuild, no migration. We start serving llms.txt in seconds.
Generate your AI manifest
Tell LLMs how to talk about your brand: facts they can cite, sections they should ignore, tone they should match. Versioned, auditable, deployed at the edge.
Track citations and tune
See which models cite you, which answers you're winning, and which gaps to close. Iterate weekly, just like you would for SEO.

Why teams ship it

Built for the people who own brand and the people who own infra.

Edge-first deployment

Live in three minutes from any stack, with zero risk to your existing site.

For CTOs: Cloudflare Worker route, instant rollback, SOC2-friendly. No SDK, no build step, no new dependency in your bundle.
For CMOs: Ship without filing a ticket. Your site stays exactly the way it is — the LLM layer just turns on.

Machine-readable manifest

A canonical llms.txt for your brand that stays in sync with the rest of your site.

For CTOs: JSON Schema validation, content hashing, diff-friendly — drop it in git and let CI block bad changes.
For CMOs: Lock in the boilerplate that buyers will read inside AI answers — pricing, positioning, proof points — in language you wrote.

Citation analytics

Know which models are quoting you, which queries you own, and which ones you're losing.

For CTOs: Structured event stream, webhook-ready, no vendor lock-in. Export raw data anytime.
For CMOs: Prove that AI traffic is real revenue. Tie citations to pipeline the same way you tie keywords to MRR.

The math

Win the citations that drive the next decade of traffic.

Every brand that ships llms.txt this year locks in answers that compound for years. Every brand that waits is leaving the narrative to whoever moved first — usually a competitor, sometimes a Reddit thread.

to first deploy: 3 min
engineering tickets needed: 0
of LLM traffic, served at the edge: 100%

Ready for the LLM web?

Three minutes from now, your site is talking back to AI — on your terms, in your voice, with your facts.

Start in 3 minutes