--- title: "How to Find a Great .eth Name with AI Search" description: "Learn how to find the perfect .eth name using AI Search on ens.tools. Describe what you want in plain English and search a 200,000+ name curated catalogue." published: "2026-06-20" author: "ENS.Tools" canonical: "https://ens.tools/blog/how-to-find-a-great-eth-name-with-ai-search" readingMinutes: 6 tag: "Guide" --- # How to Find a Great .eth Name with AI Search Learn how to find the perfect .eth name using AI Search on ens.tools. Describe what you want in plain English and search a 200,000+ name curated catalogue. Finding the right **.eth name** used to mean staring at a search box, typing guesses, and hoping something was available. You already know the name you want is taken. The interesting question is what you'd want instead — and that's exactly the problem keyword search is bad at solving. **AI Search on ens.tools** flips the workflow. Instead of typing exact strings, you describe what you're looking for in plain English and let the search do the pattern-matching across a curated catalogue of more than 200,000 names. ## Why plain-English search beats keyword guessing Traditional ENS search is a lookup: you type **vault.eth**, it tells you it's registered, and you're back to square one. That's fine when you know the exact name. It falls apart when you're exploring — when you have a vibe, a theme, or a use case in mind but not a specific string. AI Search is built for that exploratory mode. You can type things like: - "short punchy names for a DeFi protocol" - "three-letter names that sound like a wallet" - "names related to gaming or esports" - "palindromes under six characters" The search interprets intent rather than matching literal characters, then surfaces candidates from the 200,000+ name catalogue that fit the description. You're browsing possibilities, not just confirming what's gone. ## How to run a good AI Search The quality of your results scales with the clarity of your prompt. A few practical habits help. ### Start with the use case, not the word Rather than searching for a single keyword, describe what the name is _for_. "A memorable name for a crypto newsletter" gives the search far more to work with than "crypto." Context lets it weigh tone, length, and theme together. ### Layer in constraints If you care about length, digits, or a particular pattern, say so. "Four-character names, letters only" or "names with a double letter" narrows the field fast. The catalogue already includes structured collections — 3-letter names, the 999 Club, palindromes — so pattern-based prompts land cleanly. ### Iterate Treat the first result set as a starting point. If everything skews too generic, add a constraint. If it's too narrow, loosen one. Because you're describing intent, small wording changes can meaningfully reshape what comes back. Two or three passes usually gets you to a shortlist worth saving. ## From search result to shortlist Once names start looking promising, you don't have to hold them in your head. Add candidates to your **watchlist** so you can compare them side by side and check back later. This matters because availability and status change: a name might be registered now but heading toward expiry, or already listed on the marketplace. That's where AI Search connects to the rest of the platform. A name you like might be: - **Available to register** directly on Ethereum mainnet. - **Listed for sale** on the non-custodial marketplace, where you can see the asking terms in the live Activity feed. - **Approaching expiry**, which you can track in the Expiry Explorer. The point isn't to rush a decision. It's that AI Search feeds naturally into tools that show you the full state of each name, so your shortlist is grounded in real, current data rather than a stale snapshot. ## Searching by theme and collection One underused move: let AI Search pull from the platform's **Collections**. If you ask for "names in the 10k Club" or "three-letter dictionary words," the search can lean on those curated groupings. Collections are essentially pre-organised slices of the namespace — numeric clubs, dictionary words, palindromes — and describing them in your prompt gives the AI a clean structure to draw from. This is handy when you care about a name's category as much as the name itself. Membership in a recognised collection is part of what makes a name legible to other people in the ecosystem, and searching by collection theme surfaces those names without you needing to memorise every club's rules. ## Common mistakes that weaken your search A few habits quietly limit what AI Search can do for you, and they're easy to avoid once you're aware of them. ### Searching for a single word Typing one keyword throws away most of the search's advantage. A single word carries almost no context, so the results tend to be broad and generic. The more you describe the purpose, tone, and constraints, the sharper the results. ### Front-loading every constraint at once Piling five requirements into the first prompt often over-narrows the field before you've seen what's possible. Start slightly broad, look at what comes back, then tighten. You'll usually discover a direction you hadn't considered — which is the entire reason to explore rather than look up. ### Not saving anything It's easy to run a great search, spot two names you like, then lose them by refining the prompt. Add promising names to your watchlist _before_ you iterate, so each pass builds your shortlist instead of replacing it. ## A quick workflow to try Here's a repeatable loop that works well: - **Describe the goal** — one sentence about what the name is for and any hard constraints. - **Scan the results** — note two or three that feel right. - **Add them to your watchlist** — so nothing gets lost. - **Check status** — is each one available, listed, or expiring soon? - **Refine and repeat** — adjust the prompt and run it again to widen your options. Fifteen minutes of this usually beats an afternoon of typing guesses into a plain search box. ## Where AI Search fits the bigger toolkit AI Search is the front door, but it's most powerful as part of a loop. The catalogue it draws on is curated rather than a raw dump of the entire namespace, which is why the results tend to be usable rather than noisy. Once you've found candidates, the **Expiry Explorer** tells you which are approaching renewal, the **Activity feed** shows whether any are currently listed or attracting offers, and **Collections** let you jump sideways into the club or category a name belongs to. Search finds the name; the surrounding tools tell you its full story. Getting comfortable moving between them is what turns a one-off search into a genuinely fast way to explore ENS. ## Try AI Search on ens.tools The fastest way to understand AI Search is to use it. It's **free to explore**, it runs over a curated 200,000+ name catalogue, and it turns "I'll know it when I see it" into an actual search you can run. Head to **ens.tools**, open AI Search, and describe the .eth name you're picturing — then let the catalogue do the work.