Crypto brand name validator. Check name and ticker collisions across 9 registries.
Avoid the post-launch rebrand. Check your proposed project name and token ticker against CoinGecko, CoinMarketCap, Etherscan, Solscan, BSCScan, BaseScan, Arbiscan, OP Etherscan and Snowtrace. One-click search URLs for each, side-by-side collision matrix, exportable assessment. Pre-TGE due diligence in under 5 minutes.
Free · No signup · 9 chains and registries checked
Enter your name and ticker. Check each registry.
No API calls. We generate direct search URLs to each registry so you can scan results manually in seconds.
// Run checks Check the box once you have visually scanned each result
// Assessment Click each row to mark Clear or Collision
Run a free Crawlux audit of your live domain
You validated the naming. Crawlux is our free audit tool — it scans your full domain once you launch and gives you a complete report covering token schema, AI visibility, technical SEO, backlink quality and 4 more areas. Takes about 4 minutes. No signup, no credit card.
200+ Web3 brands audited · No credit card · No setup
Three steps. Under 5 minutes end to end.
No signup. No data leaves your browser. Just direct search URLs to each registry.
Enter project name and ticker
Type your proposed project name and token ticker (3 to 5 characters recommended). The validator auto-generates search URLs to the 9 registries where collisions matter most.
Open each registry check
Click each registry tile to open the direct search URL in a new tab. CoinGecko, CoinMarketCap, Etherscan, Solscan, BSCScan, BaseScan, Arbiscan, OP Etherscan, Snowtrace. Scan visually for collisions.
Mark and export your assessment
Mark each registry as Clear or Collision. The matrix builds a side-by-side view. Export as plain text to share with legal, marketing or the founding team before TGE.
The post-launch rebrand is the most expensive mistake in crypto.
Six things that go wrong when a crypto project skips pre-launch naming due diligence.
Ticker collision = price feed chaos
If your ticker is already listed on CoinGecko or CoinMarketCap, your price data may be pulled into the wrong project's feeds, or vice versa. Trading bots, portfolio trackers and tax software all break. The damage compounds the longer it goes unfixed.
Brand confusion in AI engines
ChatGPT, Claude, Perplexity and Gemini have a harder time disambiguating projects with similar names. AI engines may answer queries about your project with stale information from a different project entirely. The lower your project's authority signals, the worse the confusion.
SEO competition for branded queries
If "yourbrand" is already ranking on Google for a different project, you compete against them for your own brand name searches. Branded query SEO is the cheapest traffic. Losing it because of a name collision is paying full price for traffic that should have been free.
Trademark and legal exposure
Crypto naming overlap can trigger trademark claims even without formal trademark registration on either side. The earlier-launching project has stronger legal position. Post-launch rebrand under threat of legal action is a brutal experience the founder will never want to repeat.
Exchange listing rejection
CEXs and DEX aggregators run their own due diligence before listing. A name or ticker that collides with an existing listed token may get rejected or delayed for months while disambiguation is sorted. This is a real listing blocker for serious exchanges.
Scam-token impersonation magnet
Projects with weak naming distinctiveness attract scam impersonators on every chain. The cost is reputational and ongoing. Strong, distinctive names make impersonation harder and faster to flag. This is partly a naming choice made pre-launch.
Common questions about crypto naming due diligence
Patterns from TG3 pre-launch client onboarding calls.
Why does crypto naming matter so much?
Three reasons. First, ticker collisions break price feeds and create user confusion. Second, name overlap with existing projects opens you to impersonation accusations and legal action. Third, AI engines mix up similarly-named projects, hurting your citation rate and reputation. Pre-launch naming due diligence is much cheaper than post-launch rebrand.
What registries does the validator check?
CoinGecko, CoinMarketCap, Etherscan, Solscan, BSCScan, BaseScan, Arbiscan, OP Etherscan, Snowtrace. These cover the major chains where over 95 percent of crypto trading volume happens. The validator generates direct search URLs so you can quickly scan each registry without manual typing.
How likely are ticker collisions on a new launch?
Very. Three-letter tickers are mostly taken. Four-letter tickers have collisions roughly 40 percent of the time across major registries. Five-letter tickers are safer but reduce memorability. Most successful projects use 3 to 4 character tickers, accepting some collision risk in exchange for brevity. The validator surfaces the collisions so you know what you are signing up for.
What if my name is taken on one chain but not another?
You can still launch, but the risk profile changes. AI engines will increasingly confuse the two projects. Search engines may rank the older project ahead of you for branded queries. CoinGecko and CoinMarketCap may require additional verification before listing. Better to know before TGE than to learn during it.
Does this tool check for trademark conflicts?
No. This tool only checks crypto registries. For trademark conflicts you need legal counsel or services like TMHunt and USPTO TESS. Trademark conflicts are separate from crypto registry conflicts and equally important; check both.
What about scam tokens using my name?
Scam tokens impersonating real projects are common, especially after popular project launches. The validator surfaces these too because they appear in block explorer searches even if they are not officially listed on CoinGecko or CoinMarketCap. Be ready to flag them post-launch with the relevant chain explorers and registries.
How does naming affect AI citation?
AI engines have a harder time disambiguating projects with similar names. If your project shares a name with another crypto entity, AI engines may answer queries about your project with information about the other one, or vice versa. The fix is partly mechanical (clear contract addresses, schema markup, llms.txt files) and partly avoidable upstream by picking a more distinctive name.
What is the safest naming approach for crypto?
Distinct invented names with no English-language equivalents (think Aave, Curve, Lido, Pendle). Avoid generic descriptive names (CoinSwap, TokenLend, etc.) because they collide with everything. Avoid hyper-trendy substrings (AI, MEME, FROG) because they collide with new launches every week. Pre-launch validation here catches the obvious collisions.
Pre-launch naming due diligence costs 30 minutes. Post-launch rebrand costs 6 months.
Of all the pre-launch decisions a crypto project makes, naming gets the least disciplined process and has some of the largest downstream consequences. Founders pick names in a Slack call, register the domain, and never check the chain explorers or registries. Then they launch. Then they discover that the ticker is already taken on three chains, the name is identical to a 2021 abandoned project that still has trending tweets, and CoinGecko has flagged the listing for manual review.
The cost of fixing this post-launch is roughly 6 months of marketing time, all the SEO and AI citation work you have done getting reset to zero, and significant team morale damage. The cost of catching it pre-launch is 30 minutes with this tool.
The three failure modes
Ticker collision. The most common and most damaging. Three-letter tickers are 80 percent taken. Four-letter tickers are 40 percent collision rate. The validator surfaces this immediately. If your first-choice ticker is taken, picking a slightly different variant before launch is far cheaper than rebranding after.
Name overlap with an older, lower-quality project. Especially painful because the older project's reputation flows backwards into yours. If "Helix Protocol" was a 2021 rug pull on Ethereum and you launch "Helix Protocol" on Solana in 2026, you inherit search results, social media mentions and AI engine confusion that you cannot easily disclaim.
Name that AI engines confuse with something popular. If your project name sounds like a more famous project, AI engines will sometimes answer questions about your project using data from the famous one. Or worse, route users from queries about your project toward the famous one. This is partly fixable downstream but mostly avoidable upstream.
What this tool catches and what it does not
The validator catches naming collisions on the 9 major crypto registries (CoinGecko, CoinMarketCap, plus the 7 main chain explorers). It does not catch trademark conflicts (that is a separate legal exercise), domain availability (use Namecheap or similar), social handle availability (Twitter, Discord, Telegram), or government securities registrations. Use this tool plus those checks together; none alone is sufficient.
Where to use this in the pre-launch checklist
Naming due diligence is one of the 32 items in the Token Pre-Launch Checklist. Do this validator check first because if naming changes, everything else (whitepaper, schema, llms.txt, brand assets) needs to reflect the new name. Best to lock the name early, then build downstream artifacts.
The compounding penalty
The longer you wait to catch a naming collision, the more downstream artifacts you have to rebuild. Logos, smart contracts, schema markup on every page, JSON-LD references, social handles, partnership announcements. Most of these can be redone, but each one is friction. The single 30-minute validation here prevents the 6-month rebrand cycle.
Validated the name. Now audit your live domain with Crawlux.
Naming locked in. Crawlux is our free audit tool — once you launch, it scans your full domain and gives you a complete report on token schema, AI visibility, technical SEO and 5 more areas. Takes about 4 minutes. No signup, no credit card.