Then they open three tabs. If AI did not name you, those tabs are your competitors. We do the search work that gets you into the answer, and the search work that gets you the ranking underneath it. The two are the same job.
Free. We look you up first, so you are not explaining your product to a stranger.
If you are not one of those names, you are not losing the deal. You are not in it. Nothing in your analytics will tell you this is happening.
Models pull from pages that already rank, from sites they already trust, and from places other people already talk about you. That trust is built, not bought. So we do the ordinary search work as well as the new work, because the new work does not hold without it.
Crawling, indexing, site structure, internal links, speed. Boring, and it still decides whether anything else you do can be found. We fix it once, properly, and then leave it alone.
→ a clean site and a fixed listWe set up the pipeline: what to write, how each post is built, where it lives in your repo or your CMS, and how it ships. Then we hand you the controls. You should not need us to publish a post.
→ a working pipeline and the keysModels weigh who you are far more heavily than how your page is marked up. That reputation comes from other sites, communities and coverage. We go and earn it. No link farms, no paid placements dressed up as press.
→ real coverage, named and trackedGoogle AI Overviews, ChatGPT, Claude, Grok. We track what they say about you every month, work out who is holding the citations, and rewrite your pages so a model can quote them without needing the rest of the page.
→ a monthly report on real numbersWe work where three or four names decide a whole market and the buyer is spending real money. Crypto and B2B software, because that is where we have spent the last six years.
Six years marketing crypto products. We know these buyers because we have been selling to them the whole time.
Perp DEXs, stablecoins, payment rails, custody. We already know the venues, the vocabulary and the people who write about them, so we are not learning your category on your budget.
B2B SaaS and fintech work the same way: a handful of names, a buyer spending real money, and a decision that now starts inside an answer engine instead of a search box.
We stay out of broad consumer markets. Getting named there does not pay.
Velar runs perpetual futures on Bitcoin itself. The category was new enough that models had no fixed idea of what it was, or who belonged in it. So we wrote the definition, published the pages that hold it, and made Velar the name attached to it.
“world’s first bitcoin perpdex”
Asked live, 26.08.2026. The recording at the top of this page is that question, run on all four in one sitting.
“[Velar CEO quote. Two or three sentences. Ask for something specific about the result, not about the experience of working together.]”
Most people selling this have never shipped a product and watched it get found. We run two. Everything we do for clients was tried on these first, on our own money.
A remote job board we built and took from nothing to steady visibility in AI search. The blog pipeline, the page structure, the way posts are grouped: all of it started here. When something does not work, it fails on our site rather than yours.
Our own measuring tool, built because nothing on the market told us what we needed to know. It records which AI crawlers visited, what they took, and which clicks came back from ChatGPT, Perplexity and Claude. Every client report runs on it.
Schema markup, FAQ blocks, page speed. Two million AI citations later, most of that advice stops mattering once you account for how well known a brand already is.
What holds up is plain: say things the way your buyers say them, and make every paragraph stand on its own.
We run your buyers’ real questions past four engines and write down who gets named. That first list never changes, so every number after it is measured against the same start.
Sales calls, support tickets, Discord. We collect how your buyers actually talk, then compare it to what your site says. That gap is the biggest thing you can fix.
Models judge one paragraph at a time. So we cut your pages up the same way and read each piece cold: does the claim still stand alone, and is your name in it?
We rewrite, restructure, and go earn the mentions off your site. Then we ask the same questions every month in kymo, against that first measurement.
Everything we tell a client comes from something we measured. If it does not survive our own data, it does not go in a pitch.
We took [00] pages, split them the way a model would, and read every piece on its own. How many claims still stand? How often does the proof end up somewhere else? The failure rate is much higher than anyone expects, and the fix is almost never to write more.
[00] of [00] pages done[00] buying questions across perp DEXs, stablecoins and custody, asked every week, on four engines. Which sites hold the answers, how often the list changes, and what the names that stay have in common.
running weekly since [month]Most reporting in this field guesses. Our server logs do not. We match every AI crawler visit to the citations that showed up afterwards, so we can say which pages were read, by which bot, and how long the wait was.
collectingWe look you up before the call, so you are not spending the time explaining your product to a stranger.
You will be talking to Narender, who does the work. There is nobody else here.
Leave your site and we will run it ourselves, then send you what we found. No deck, no call booked, no follow-up sequence. If it is useful you will get in touch.