Getting quoted by AI search.

Ask ChatGPT or Perplexity for the best guide to trading on Hyperliquid, and you get a short answer with a few sources under it. If your page is not one of those sources, the reader never sees you. The Hyperliquid Guide is one of our own products, and getting it picked as a cited source is a goal we chase on it directly. Here is what that looked like.

The asset

The Hyperliquid Guide is an independent, unsponsored reference to a fully on-chain perpetual futures exchange. It runs to 18 chapters, gets a revision every quarter, and has been read by more than 50,000 people. It is written by an active trader and developer rather than a marketing team, which is exactly the kind of first-hand, specific content that both readers and AI engines tend to trust. The stack is Next.js and TypeScript, server-rendered so the words are in the page rather than assembled by script after load.

Ranking is not the same as being quoted

A guide can rank well on its brand terms and still be invisible in AI answers. Classic search gives the reader ten links to choose from. An AI engine reads a handful of pages, writes one answer, and cites the pages it leaned on, and the reader often never clicks at all. So the target is different: you are no longer fighting only for position, you are fighting to be the passage the model lifts into its answer.

What we actually did

We ran the guide through the same Generative Engine Optimization checklist we use for clients. The full version is written up in our GEO methodology article, but the short list is this. We confirmed the AI crawlers, GPTBot, ClaudeBot, PerplexityBot, and Google-Extended, all get a clean response instead of a firewall block. We made sure the real content ships in the raw HTML rather than filling in with JavaScript, because a crawler that fetches an empty shell has nothing to quote. We restructured key sections into self-contained passages that answer one question completely, so a model can drop a paragraph straight into an answer. We added Article schema, lifted the max-snippet cap to unlimited, and published an llms.txt so the engines have a plain-text map of the site.

How we know it moved

AI citations do not show up in a normal rank tracker, which is the exact gap our other product, ConceptSEO, was built to close. It tracks which pages get cited, for which prompts, on which engines, and how that shifts week to week. Watching classic position and citation share together is how we tell the difference between a page that ranks but never gets quoted and one that has started showing up as a source in the answers themselves.

Why this is the proof that matters

Getting cited in AI search is a service we sell. The honest way to demonstrate it is to run it on something we own and can talk about in full, rather than a client site we would have to anonymize. The Hyperliquid Guide is that proof: an independent guide, held to the same checklist we would apply to your pages.