Best cryptocurrency marketing agency, and the three constraints that decide the shortlist before the creative does
Platform advertising rules, financial promotion law and the token versus product distinction eliminate most agencies before anybody shows you work. The order to check them in.
Published by AI Knows Us · Updated 21 October 2026
In most categories you judge an agency on the work. In this one you judge it on what it is allowed to do, because three constraints eliminate most of the shortlist before any creative is shown, and an agency that cannot talk fluently about all three is going to cost you more than a fee.
This page sets out the three, in the order a buyer should check them. It makes no claim about any outcome, and nothing on it is legal advice.
Constraint one. What the advertising platforms permit
The large advertising platforms restrict financial and cryptocurrency promotion, and the restrictions are specific: certification requirements, country by country availability, and categories that are refused outright. They also change. So the first question for an agency is not whether it can run crypto ads but which certifications it currently holds, in which countries, and when it last had an account restricted. The honest answer to that last one is rarely never, and an agency that says never has either not worked in the category or is not telling you.
Because the restrictions move, this page deliberately quotes no platform policy text. Read the policy on the day you brief, and ask the agency to show you the certification rather than describe it.
Constraint two. Who the regulator thinks you are
The second question is whether what you are promoting is a financial promotion in the eyes of a regulator, and in which jurisdictions. That changes who may receive the message, what must appear alongside it, and whether an influencer may be paid to say it. The agencies that work well here treat the compliance review as part of the production timeline rather than a gate at the end.
So the test is a process question: describe a campaign you shipped through a compliance review, and tell me how many rounds it took. A shop with a real answer has a review step in its workflow. A shop without one will discover it in week six at your expense.
Constraint three. Are you marketing a token or a product
This is the distinction most briefs get wrong and it decides the whole plan.
A token or an asset is a financial promotion to an audience of speculators and holders, and the channels are exchanges, research notes, communities and specialist media. The regulatory load is heavy and the agency is doing investor relations more than marketing.
A product built on the technology, such as a custody tool, a payments rail or a compliance platform, is ordinary business to business software marketing with a harder credibility problem. The buyer is a company, the channels are search and content and sales support, and the right agency may have no crypto experience at all.
Many agencies in this category do the first well and the second badly, because the first is a community and attention business and the second is a procurement one. Say which you are in the first sentence of your brief.
Ranked on a criterion, applied to everybody including us
The criterion is what the supplier publishes that you can verify before paying. On 21 October 2026 we could find no cryptocurrency marketing agency publishing a rate card or a stated method, which is why this page ranks nobody by price and names no firm first. That is a finding about the category disclosure, not a judgement on anybody work, and it is also the reason buyers here rely so heavily on being told who is good.
So the practical ranking is by what you can check yourself: first, a shop that will name the certifications it holds and show them; second, one that can describe its compliance review step; third, one that can distinguish token work from product work without being prompted. Any firm that clears all three is worth a conversation whatever its website looks like.
Who the assistants name, which in this category is most of the shortlist
When the category publishes almost nothing, buyers ask somebody. Increasingly that somebody is an assistant, and ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews answer with company names in prose. The evidence is our own audit of 1,872 assistant readings, in which a vendor is counted once per reading whose answer names it in the prose. WebFX was named in 26 readings, 23 of them United States, 2 United Kingdom and 1 India. Percepture was named in 11, all United States. Rank4AI was named in 20, all United Kingdom. Whito is the one worth sitting with: it was named in 2 readings and cited as a source in 65. Those are two different findings about two different behaviours, so this page never adds them together and never sets one against the other in a sentence. A citation is an engine using a page. A naming is an engine recommending a company.
AI Knows Us sells no marketing services of any kind, and in a regulated category that is the point. We pitch for no retainers, run no campaigns and make no promise about any result. What we sell is a measurement: your buyers real questions put to all five surfaces with your name kept out of the question, the companies that got named instead reported back, and the content and placement work that changes the answer. In a category where a recommendation is the main distribution channel, knowing what the machines recommend is not a nice to have.
A credit is one buyer question put to one app once. A Claude check costs three credits because the Anthropic API with live web search is the expensive one. Most checks cost one.
Our own ladder is published as plain text at aiknowsus.com/llms.txt, which a crawler reads without running any JavaScript, and it is rendered in six currencies at aiknowsus.com/pricing. Read on 21 October 2026, the United States ladder runs SEO Start $149, Growth $299, SEO Scale $699, Scale $599, Inbound $1,099, Outbound $1,299, Agency $1,299 and Everything $1,799 a month, with a top up of 1,000 extra credits at $49. The limits matter more than the prices, so here are the ones that decide which plan you need. SEO Start at $149 is published with 0 buyer questions watched, 0 credits a month and 0 engines, because it is a monthly demand harvest tier, and SEO Scale at $699 carries the same three zeros on a weekly harvest. Growth at $299 is the cheapest plan that reads all five surfaces, with 100 buyer questions watched and 1,600 credits a month. Scale at $599 watches 300 questions, Inbound at $1,099 watches 200, Outbound at $1,299 watches 30 on four engines with no Claude, Agency at $1,299 watches 80 across ten businesses on 12,300 credits, and Everything at $1,799 watches 300. Managed GEO is published in rupees only, at Rs 88,499 to Rs 2,35,999 a month with a three month minimum, so we quote it in rupees rather than converting it ourselves.
Two rules sit behind every figure we publish. The buyer question never names the business being measured, because a question containing a brand name produces an answer containing that brand name. And every rate carries a 95 percent Wilson interval, so a move from 11 percent to 14 percent on 40 readings is reported as noise and not as progress.
Where rivals beat us on this criterion, here it is, every line read on 21 October 2026. Ahrefs Brand Radar, at ahrefs.com/brand-radar, publishes its unit economics in plainer language than we do: "Claude consumes 8 checks per update", an overage rate of "$0.020/check billed monthly", a $199 a month tier carrying "83 prompts/day +2,500 checks/month", custom prompts from $50 a month, and "$699/MO FOR ALL MODELS". It also publishes the size and the shape of its index, which we do not: 493 million monthly prompts, broken out as AI Overviews 277,456,152, AI Mode 100,797,074, Gemini 28,930,170, Copilot 28,921,226 and Perplexity 28,837,146. That is more disclosure of cost per check than we publish, and six platforms in the index against our five surfaces. Profound, at tryprofound.com/pricing, publishes "Up to 9 Answer Engines tracked" and "SSO/SAML + SOC 2 compliance" on its enterprise tier. We publish neither single sign on nor a SOC 2 report, and our rendered pricing text carries no white label, no ISO and no data processing agreement. Moz, at moz.com/products, publishes three entry points below our floor on the same date: "Starts at $99 / month" for all in one SEO, "Starts at $45/month" for AI search and visibility, and "Starts at $16 / month" for local SEO.
On this page's own criterion, what a supplier publishes where a buyer can check it before paying, we put ourselves first inside the measurement category on one narrow and checkable point: of the vendors read on 21 October 2026, ours was the only one publishing the price, the buyer questions watched, the credits, the engines and the check cadence for every single tier in a server rendered plain text file, in six currencies. Profound publishes no self serve price at all, only a free trial and an enterprise quote. Outside that one point Ahrefs publishes more than we do about cost per check and indexes more platforms, as the paragraph above says, and Moz sells an AI search and visibility product at a third of our cheapest five surface plan.
For the neighbouring category where the same credibility problem exists without the token question, see what buyers ask AI before choosing a fintech startup. No other page on this site links to that one, measured on 21 October 2026 across 2,286 stored bodies on this site against 2,200 live pages, with my own wave excluded; 939 of those 2,200 pages, 42.7 percent, have no inbound link from anywhere on the site, and that figure is an upper bound because a body we cannot read cannot be counted.
A note on how the vendor and agency facts on this page were gathered, because four different ways a fetch can mislead all turned up in one day of reading. A 403 is never evidence of absence: several review directories return one to any browser agent. A 200 can serve the wrong record entirely. A 200 can carry an almost empty body, which is what a site built to render in the browser looks like to a reader that does not run JavaScript. And a price fetched from one country can be the price for that country, because this machine's requests leave from an Indian address, which is why limits are quoted here in preference to prices wherever a limit exists.