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Proof & data
Most AI-visibility tools only watch — they report where you are absent and stop there. AI HALO does the work that changes the answer, then re-scans to prove it.
Measured live across ChatGPT · Claude · Gemini · Meta AI · Grok · DeepSeek — we ask the models your buyers’ real questions, before and after.
An llms.txt is a plain-text briefing placed at the root of your domain, written for the language models that now answer your customers’ questions. Where robots.txt says what a crawler may read, llms.txt says what it should understand: who you are, what you offer, the pages that matter, the facts you want quoted. Assistants like ChatGPT, Claude and Perplexity favour sources they can parse with certainty — and punish ambiguity by guessing or omitting you entirely. Most sites publish nothing, so the model reconstructs your business from scattered signals and often gets it wrong. A precise llms.txt removes that doubt: it hands the model a clean, authoritative summary in the exact form it prefers. It is a small file with outsized leverage — and it is one of the first things we author and place when you invest in your AI Halo.
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It is an emerging convention, not a mandate — but the leading answer engines increasingly reward well-structured, machine-legible sources, and llms.txt is the cleanest way to provide one. It costs you nothing to publish and materially reduces the odds a model misreads or omits your business.
At your domain root — yourdomain.com/llms.txt — as Markdown. It states your identity, a one-line description, your core offerings, and links to the canonical pages you want cited, each with a short summary. We author it from your verified facts so nothing in it is guessed.
No. It contains only what you already publish and want AI to repeat accurately. It is a briefing for public consumption — the opposite of a secret — and you approve every line before it goes live.
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