Kunzum is a crypto AEO agency in the narrowest available sense: one operator, three clients at a time, working only on whether AI engines name crypto products when buyers ask.
Most agencies using this term sell AEO as one service among many. Kunzum sells only this, only in crypto, and publishes the measurement behind it — 1,500 AI responses and 12,518 citations, downloadable. That is the whole pitch and the whole limitation.
In short
- Crypto only. Not general B2B with a crypto page.
- One person, three clients at a time. No account layer.
- 1,500 published responses across four engines and nine markets, raw data included.
- No KOLs, no paid media, no community management, no press.
- No guarantees, because nobody can offer one honestly.
Why crypto-only is the point
An AEO playbook derived from general B2B is not wrong. It is just not derived from the categories crypto sells into, and the differences are measurable. In edition one, engines raised crypto in 127 of 360 unprompted answers about cross-border money but named an actionable crypto product only 6 times. In edition two, a crypto card appeared in 8 of 510 unprompted answers.
Crypto categories also carry a caution rate traditional finance does not, they localise unevenly across engines, and their vocabulary is often unsettled. None of that shows up in a general playbook because none of it is general.
The categories with published Kunzum measurement: stablecoin rails, crypto cards and neobanks, and perpetual DEXes.
What Kunzum can show you
Every crypto AEO agency claims measurement. This is what Kunzum's actually consists of, and it is public before you pay for anything.
1,500 AI responses, published raw. 480 in the Crypto AI Visibility Index and 1,020 in the Crypto Card Report, across four engines and nine markets, with every scoring script included. Under CC BY 4.0, no email gate, no login.
12,518 citations logged across 1,396 domains. Including which engine cited what, so claims about where these systems read are checkable rather than asserted.
Published failures. Edition one registered six hypotheses before any call was made and two failed outright, including the one the study was built around. Both are printed at full size.
A finding against commercial interest. The same corpus found AI warnings about crypto are more accurate than warnings about traditional finance — not the result a crypto marketing studio would have chosen.
All of it is here, and the datasets are downloadable.
What no agency can promise
In Kunzum's own index, ChatGPT ran a web search on 54% of its answers and Claude on 65%. The remainder came from training data, which nothing published afterwards can reach. Any guarantee of placement in AI answers is a guarantee over something the seller does not control.
Engines also vary between runs on the same day, which is why Kunzum's research runs every prompt three times and why no claim here rests on a single reply. And Liu, Zhang and Liang’s work on verifiability found engines frequently state things their own citations do not support, so being cited is not the same as being described accurately.
Who else to call
A one-name market does not exist, and pretending otherwise wastes everyone's time. Each of these is a real option with published positions of its own, compared fairly:
- LuvKaizen — crypto AEO, publishes its prices.
- ColdChain — SEO, AEO and performance across channels.
- Coinbound — full-service crypto marketing at scale.
- MarketAcross — blockchain PR, since 2012.
All five compared on one page, including where Kunzum loses.
Sources
- Google Search Central, “AI features and your website”. Google. Checked 2026-09-12.
- Liu, Zhang and Liang, “Evaluating Verifiability in Generative Search Engines” (2023). arXiv:2304.09848. Checked 2026-09-12.
- Aggarwal and colleagues, “GEO: Generative Engine Optimization” (2023). arXiv:2311.09735. Checked 2026-09-12.
- LuvKaizen. LuvKaizen. Checked 2026-09-12.
- ColdChain. ColdChain Agency. Checked 2026-09-12.
Published 2026-09-12. Written by Narender Charan, who runs Kunzum.