The citation engine for Crypto brands!

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Buyers now ask AI what to use. Half of US consumers use AI search, but only 16% of big brands track what it says about them. citeOS asks ChatGPT, Perplexity, Gemini, Claude and Google AI Mode the questions your buyers ask, and shows what they say about your brand. Features: - Visibility score for each AI engine - Every answer, question by question - Pages AI cites instead of yours - Competitor comparison - What to fix first - Weekly alerts Watch the demo.
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hot take: devs love the terminal for the same reason they love manual cars. it feels like control, even when the automatic is faster
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the best message you can get in your team's Slack: “they found us through AI.” 👏 a buyer asks AI for a recommendation. AI names your company. and that buyer finds you.
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Pay for what you use, no subscription. Nice idea. But the business still has to get paid in stablecoins, and for that, it has to choose a gateway. So how does a business pick one? More and more of them ask AI. We asked 5 AI engines what they recommend when people ask for the “best crypto payment gateway that settles in USDC or USDT,” across 8 countries. 16 different gateways recommended. One name appeared in 8 out of 8 countries: @NOWPayments_io The gateways in the report: @NOWPayments_io | @coinbase | @CoinGatecom | @TripleAHQ | XFlow | @coinsph | @breetapp | @BitPay | @BVNKFinance | @getTransFi | @stripe | Payzum | @passimpay | Taria Pay | @pymstr_ | Lumx Country by country in the image. #stablecoin
⚡️ NOW: Coinbase CEO Brian Armstrong says, “With stablecoins and x402, businesses can accept usage-based micropayments, and reduce friction to checkout.”
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new crypto card report just dropped. 📃 what AI actually recommends when a new buyer asks AI which crypto card has the "lowest fees for spending USDT or USDC" We asked AI engines what they recommend across 7 countries. < US > ChatGPT: @coinbase Gemini app: @coinbase Google AI Mode: @coinbase < Philippines > ChatGPT: @coca_card Gemini app: @MetaMask Google AI Mode: @BleapApp < Germany > ChatGPT: @okx Gemini app: @coinbase Google AI Mode: @BleapApp < India > ChatGPT: @BleapApp Gemini app: @coinbase Google AI Mode: @BleapApp < Brazil > ChatGPT: @coca_card Gemini app: @KASTxyz Google AI Mode: @BleapApp < Japan > ChatGPT: @coca_card Gemini app: @coinbase Google AI Mode: @JupiterExchange < Nigeria > ChatGPT: @getpluapp Gemini app: @BleapApp Google AI Mode: @BleapApp More crypto card reports coming soon. which card are you using right now to spend your USDT or USDC?
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hot take: the best vibecoders aren’t the best prompters. they’re the ones who can read what the AI wrote.
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your pricing page says $199. a review from 2023 says $99. now a potential new customer asks AI how much your product costs. and AI might give them the old price. they could move on, and you'd never know why. how does this happen? watch this..📺
Made with AI
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trust isn’t a column in a table. in crypto, it gets checked everywhere. plenty of scams have beautiful websites. so buyers learned not to trust a project’s own site. they look at what other people say. AI answers seem to lean the same way. which would you believe: a project’s About page, or three strangers on Reddit?
One good way to show that you have no idea what you’re talking about is to compare SEO to GEO/AEO and put “E-E-A-T” as something that only matters in the GEO column.
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Nobody expected this so early, but we’ve been getting DMs for this report, so here it is. We asked 5 AI engines what they recommend when people ask what to use for "global payouts". 93% of AI answers about crypto payouts name a specific company first. These are the gateways they named first, most often first: 1) @CoinGatecom 2) @BitPay 3) @NOWPayments_io 4) @TripleAHQ 5) @BtcpayServer 6) @BVNKFinance 7) @coinbase 8) @coinsph 9) @breetapp 10) Xflow 11) @getTransFi 12) @Hubpayapp your buyers are not going to read ten comparison posts. they ask once and get a first name. This is one question. More reports, with more buyer prompts, are coming soon. which name surprised you most?
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hot take: it’s not how many machines Bitcoin has today. it’s whether miners can buy new ones later. every machine on the network is getting older, and new ones come from chip factories. AI companies might compete for some of the same ones.
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this is the crowd a buyer walks into when they ask AI for the best crypto card. AI points at a few. which ones depends on the engine, the country, and the day. which card is in your wallet? the cards in this picture: @KoloHub @Nexo @MEXC @_BinanceJapan @BitgetWallet @ether_fi @Bitpanda @Bybit_Official @Gemini @MetaMask @CoinbaseWallet @coca_card @BleapApp @wirexapp @solcard @waldenpay @useTria the reports, with buyer prompts, will be live soon.
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one HACK to send your buyers straight to your competitors: make sure your website blocks ChatGPT💀 after every security scare, crypto sites block bots to keep scammers out. fair. but sometimes that includes the bots that tell BUYERS who you are. check this, so buyers can still find you.
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AI doesn’t know tomorrow. it knows what people said yesterday. ask it the same thing twice, and you can get a different answer. and the more people write something, the more likely it is to come back. that’s popularity, not proof. if you want to know what AI says about you, start with what’s being written about you.
Interviewer: If an LLM can answer questions about the future, does that mean it can predict the future?
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Hot take: a KOL thread reaches the people who already follow you. AI answers reach the buyers who don’t follow anyone yet.
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5 more countries. Another look at what AI recommends. we asked AI engines what they recommend when people ask for the “best crypto card” in India, Pakistan, Nigeria, Japan and Vietnam. < India > ChatGPT: @KoloHub | @Krak Gemini app: @Gemini | @coinbase Google AI Mode: @coinbase | @Bybit_Official < Pakistan > ChatGPT: @MEXC Gemini app: @Gemini | @RedotPay Google AI Mode: @coinbase | @cryptocom < Nigeria > ChatGPT: @ether_fi | @RedotPay Gemini app: @Gemini Google AI Mode: @coinbase | @Nexo < Japan > ChatGPT: @_BinanceJapan Gemini app: @coinbase Google AI Mode: @coinbase < Vietnam > ChatGPT: @BitgetWallet | @RedotPay | @coinbase Gemini app: @Gemini Google AI Mode: @coinbase if your card is on a line, it’s in the pool. which spot do you want to hold every time? *note: we asked 20 buyer prompts, and the lead card changed from prompt to prompt.
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an About page tells your story. other sites tell AI theirs. make sure they match. when both tell the same story, a buyer, or an AI, has less to doubt.
I’m working on an enterprise brand’s website, and something interesting stood out in its Google Search Console Gen AI report: The most cited page on the company’s website in AI Overviews & AI Mode, with 5x more impressions than the homepage, is its “About” page. It’s a comprehensive, detailed page about the company’s history, background, and evolution over time. It’s not a “special page” created for LLMs or AI agents. It’s written for humans, visually appealing, and contains detailed information about the brand in a format that both humans and LLMs can easily understand. So what’s the big “GEO” takeaway here? Create comprehensive “About” pages with detailed, accurate information about your company’s history. In other words, the same recommendation many of us in SEO have been making for years, especially since E-A-T became a bigger part of the conversation in 2017 (and long before that, in many cases). Why do I think this is a more sustainable approach than creating separate pages specifically for LLMs? Because those pages create an easily gameable surface. Notably, Google, OpenAI, and Anthropic haven’t explicitly asked website owners to create separate, LLM-specific versions of their content, use Markdown, etc. I would change my perspective if they did (they won’t.) The problem: it’s inevitable that bad actors (and plenty of brands) will use these pages to inject prompts, exaggerate claims, or give AI agents promotional information that doesn’t match what real users see, with the goal of manipulating what AI says about their brand. My prediction is that as this behavior becomes more widespread (it’s already spreading thru the GEO world like wildfire), the AI companies will increasingly develop ways to ignore, discount, or otherwise treat these pages as untrustworthy. And depending on how these systems evolve, the consequences might extend beyond the individual pages themselves. The unfortunate part is that even well-intentioned companies simply trying to “help” LLMs understand their content better could become collateral damage. Even if their LLM-specific pages contain exactly the same accurate information as their human-facing website, they could still get caught up in broader efforts to crack down on this type of content, or flag the sites using “manipulative” approaches. This is why I’m extremely cautious about employing tactics like this in the first place. Meanwhile, there’s a much simpler way to work on this: Take all that time and effort you’re spending creating special content for LLMs and use it to improve the information available to actual humans on your website. Make your company’s history, expertise, people, products, and reputation easy to find, understand, and verify. You’re still giving LLMs the information they need; you’re just doing it in a way that’s actually useful to your human readers, too. And unlike tactics designed to exploit how AI systems currently work, this is an investment that’s unlikely to become a liability when those systems inevitably start cracking down.
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morning thought: a lot of crypto apps still send you to a separate group chat for support, and another one to talk about what’s happening onchain. what if the chat lived inside the app, right next to your wallet and the contract you’re using? useful, or just extra stuff?
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"hey citeos, what's the proof you're actually good at AI visibility?" the proof: 🫡
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old SEO ranked pages. new SEO picks names. Google showed you ten pages and let you choose. AI gives three names and moves on. so you’re not competing with other pages anymore. you’re competing with other names.
old SEO: get your startup on the first page of Google new SEO: get your startup into the 3 products AI recommends same game, but veeeeeery different rules
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you might be losing potential buyers without knowing why. 😲 because more and more buyers now ask AI about a project to choose. and in our crypto study, only ~8% of the sources AI used came from the brands’ own websites. the other 92% came from elsewhere. if those are old, or don’t mention you, a buyer may be sent to a different project. send this to whoever handles your marketing. ⎙ㅤ
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POV: you run a crypto project in 2026. your advisor: "SEO is dead." your dev: "add an llms.txt file." your community manager: "we need Reddit." your KOL: "everything has changed." a buyer, at 2am: asking AI which project to use. are you in the answer?
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