# One Crypto Watch List Misses Half of the Other Buyer's Answers > Ask ChatGPT or Google AI Mode the same crypto need as a business and as a person, and the answers link different pages. What writing both sides' pages costs two owners, and the agents that find each side's missing pages. By Vlad Shvets, Partner @ Qvery · Published 2026-09-22 · Updated 2026-11-09 · 7 min read Canonical: https://qvery.ai/blog/crypto-vendor-owned-ai-citations/ If your crypto company serves businesses and consumers, one list of the sites you keep an eye on in AI answers can leave either sales team watching the wrong pages. ![What AI answers cite for a business and for a person asking about one crypto need: institutional pages, rival desks and more regulators; or the homepage, fee pages, review rankings and Reddit.](https://qvery.ai/blog/crypto-vendor-owned-ai-citations/illustration-one-site-two-buyers.webp) *Your institutional pages sit beside rivals’ institutional pages and the regulator; your homepage and fee pages sit beside review rankings.* Writing and correcting the pages each side lacks takes two owners, one for the institutional pages and one for the consumer pages, about five hours a week each for some 40 buying needs a side (our example): about **$33,228** a year in pay and benefits. > 👥 At Qvery, we help crypto companies that sell to businesses and consumers spend less of two teams' time writing the pages each buyer is missing and put them back on selling, with custom AI agents that read each side's daily answers, find the needs with no page for that buyer and draft the fixes each owner approves. ## One Side's List Misses About Half of the Other Side's Answers These figures are from our research: the same 40 crypto buying needs asked as a business and as a consumer on ChatGPT and on Google AI Mode, Google's chat-style answers, on 22 September and 20 October 2026. Shares of answers count the answers that linked a source. Take the shortest list of sites that appears in 80% of one buyer's answers, the sites that side would keep an eye on, and check how much of the other buyer's answers it reaches. On ChatGPT in October, the business list reached **55.00%** of the consumer answers and the consumer list 61.25% of the business answers; in Google's chat-style answers, 22.08% and 37.18%. Each side's list also has to be rebuilt every month: September's list for each buyer, applied to October's answers from the same buyer, had already slipped. ChatGPT and Google AI Mode answer each buyer's questions with different pages: GEO Agent: https://qvery.ai/geo-agent/ ## Both Buyers Get Your Own Pages, but Not the Same Ones Every sourced business answer on ChatGPT on 20 October linked at least one crypto company's own site (**100.00%**), and **92.50%** of the consumer answers did. They reach those sites through different pages. When ChatGPT linked one of the two crypto companies it linked most in a business answer, **93.27%** of those pages came from their institutional, Prime (services for large clients), business or developer sections; in consumer answers, 5.88% did. Around those pages the answers split again. On ChatGPT in October, 35.00% of the business answers linked a regulator or government site, against 25.00% of the consumer answers, and publishers, review and comparison sites went the other way, 45.00% of business answers against 73.75% of consumer ones. **Regulators Sit Beside Business Answers, Publishers Beside Consumer Ones** (% of sourced answers) Regulators appeared more in ChatGPT's business answers (35.00% against 25.00%), publishers and review sites more in consumer answers on both engines, and communities more in Google AI Mode's consumer answers (18.18% against 7.69%). | Label | Business wording | Consumer wording | |---|---:|---:| | ChatGPT: regulators | 35.00% | 25.00% | | ChatGPT: publishers and review sites | 45.00% | 73.75% | | ChatGPT: communities | 0.00% | 3.75% | | Google AI Mode: regulators | 0.00% | 3.90% | | Google AI Mode: publishers and review sites | 44.87% | 58.44% | | Google AI Mode: communities | 7.69% | 18.18% | Share of sourced answers citing at least one site of each kind, business and consumer wording of the same needs, October 20, 2026. Source: Qvery research: 40 crypto buying needs asked as a business and as a consumer, ChatGPT (web search) and Google AI Mode, US, UK, Canada and Australia, October 20, 2026 ## What Qvery's Agents Take Off the Two Owners The agents we build read each side's answers every day from your answer records and find the needs where that buyer's answers link no page of yours written for them. They check your page inventory for one, then queue a draft fix for the owner of that side: a page for the missing buyer, a corrected fact, or a question for compliance. The agents change no page themselves, and at first nothing is sent or published until its owner has approved it; what may run without that later is your decision, in writing. What they may read is set in a written agreement, your data is processed where that agreement says, and every finding and draft is logged. That page work is already the two owners' job: a page for a buyer who has none, and a fact that changed. Say each spends about 13% of the week on it, some five hours. Market research analysts and marketing specialists earned a mean $89,490 in May 2025, the Bureau of Labor Statistics reports; with benefits at 30% of what private employers spend, about $127,800 each. The calculator works out what that page work costs today, what it costs with the agents taking half of it (finding the gaps and drafting the fixes), and how fast the build pays back; it opens on this example. (An interactive calculator on the page: roi-buyer-page-upkeep.) On the example, the page work falls from $33,228 to $20,214 a year: $13,014 and 270 hours handed back, and every $10,000 of the build is earned back in about 9.2 months. Running the agents, about $300 a month, is an estimate: a few cents of AI model use an answer read plus hosting and upkeep. The larger cost stays off the calculator: a business buyer an answer sends to your consumer pages meets a homepage and an app fee table instead of your institutional desk's page. ## Bring Your Two Question Lists and Your Page Inventory Bring your institutional and consumer question lists and a list of your pages, with the owners who approve each fix. We agree in writing what the agents may read, and the first version runs on your answers within two weeks of access. Have Qvery Build Your Two-Buyer Page-Check Agents: https://calendly.com/qvery-vlad/30min ## Frequently asked questions ### Does an answer citing our website mean it recommends us? A citation, a page linked as a source under the answer, identifies a page the answer used; it does not establish that the answer recommends your company. Read the answer alongside its sources. ### Should one team own AI search for both sides of a crypto business? One person should see both lists, but each side needs its own owner: the head of institutional sales for the business questions, with compliance, and whoever runs retail growth for the consumer ones, with support. The pages, the outside sources and the questions differ, and each side already has a team that knows its buyers. ### What does Qvery do after measuring our crypto AI citations? We review the answers with your institutional and retail leads, then work on the pages and facts that need correction. Where the job repeats, we build custom AI agents for your systems and train the people who review their work. ### Which pages do business buyers expect from a crypto company? Pages written for them: custody and settlement terms, licenses by country, fees for large orders, the onboarding steps for a company account, and a named contact. A consumer fee table answers few of those questions. ### What do the agents need access to? The two question lists, the daily answer records, and a list of your pages with each one's owner. They need no access to your trading systems or customer data, and what they may read is agreed in writing before they connect. ### Can the agents publish a page or change a fact on our site? No. They draft the page or the correction and send it to the owner of that side; a person approves, edits and publishes it. Any wording about licenses, custody or insurance also goes through compliance. ### How long until the first drafts arrive? About two weeks from access. The first set covers the needs where one buyer's answers link no page of yours written for them, ranked by how often the need appears. ### What does running the agents cost each month? About $300 a month for model usage, hosting and upkeep for two question lists, an estimate that grows with the number of questions. ### How many questions should each list hold? Enough to cover how each buyer really asks, written from sales calls and support tickets and frozen for a quarter so the counts compare month to month. ### What if both buyers need the same fact? Write it once on the page that owns it and link to it from both sides. Two versions of the same fee or license fact drift apart, and an answer can quote the stale one. ### Does compliance need to review every page? Every page that states a license, a custody arrangement, an insurance claim or a fee, yes. Pages that only route a buyer to the right section can go through your usual web review. ### Should the institutional pages sit on a separate site? Not necessarily. What matters is that each page is written for that buyer and reachable from your main navigation; a business section with its own pages gives answers a clear page to cite for business questions. ### How do we know the new pages work? For each side, the agents track the share of answers that link a page of yours written for that buyer, before and after the page goes live, on each engine separately. One week proves nothing; look for a level that holds for a month. ### Who writes the institutional pages if marketing does not know the product well? The institutional desk supplies the facts and reviews the draft; marketing owns the page. The agents' draft starts from your existing documents, so the desk corrects a page instead of writing one from nothing. ### What if one side's buyers ask about a product we don't offer them? Say so plainly on the page for that buyer, with what you do offer instead. Without one, an answer has nothing of yours to cite for that buyer.