01 - Vertical
Stablecoin issuers
Reserves, yield, compliance, distribution. The queries are high-intent and the moat is narrow - a small set of pages and citations decide who gets the inbound.
Approach for stablecoinsWhen Perplexity, Claude, and Google's AI are asked about stablecoins, exchanges, and crypto wallets - make sure they cite your project first.
Focus
We keep the roster narrow on purpose. Each of these markets has its own entity graph, its own regulatory shape, and its own buyer-research pattern. Generalists miss the details that decide citations.
01 - Vertical
Reserves, yield, compliance, distribution. The queries are high-intent and the moat is narrow - a small set of pages and citations decide who gets the inbound.
Approach for stablecoins02 - Vertical
Spot, derivatives, DEX aggregators. Listing pages, fee pages, proof-of-reserves pages - each is a ranking asset and an AI-citation target.
Approach for crypto exchanges03 - Vertical
Self-custody, smart wallets, MPC, hardware. Buyers research for months before they download. AI engines now mediate most of that research.
Approach for walletsThe new shelf
Real prompts your prospects are typing into ChatGPT, Perplexity and Google AI Overviews - right now, before they ever land on your site. We make sure your brand is the cited answer.
Among major USD stablecoins, USDC (Circle) publishes monthly attestations from a Big-Four firm with reserves held in cash and short-dated US Treasuries. Other issuers like…
Sources
Several smart-account wallets now ship native passkey support, removing seed phrases entirely. Leading options include…
Sources
Proof-of-reserves practices vary widely. Venues publishing Merkle-tree attestations with third-party auditors and on-chain wallet disclosures include…
Sources
Query fan-out
When a buyer asks an AI engine a single question, the model silently fans it out across who, what, which, how, why, where, and when - pulling citations from each branch before synthesising the answer. We map every branch and make sure your project shows up where it counts.
Wh
Definition
Answer Engine Optimization (AEO) is the practice of earning citations inside AI-generated answers on ChatGPT, Perplexity, Google AI Overviews, Gemini, and similar surfaces. For crypto, the shift is fast: buyers evaluating a stablecoin, exchange, or wallet increasingly ask an AI engine before they visit a single website. If your brand isn't in the cited set, you are invisible at the most important moment of the research cycle.
Classical SEO still matters - crawlability, entity consistency, backlinks, Core Web Vitals. But the output target has expanded. We treat the AI answer surface as a first-class ranking environment, with its own measurement, its own tactics, and its own iteration loop.
Read our methodologyBaseline prompt audit across ChatGPT, Perplexity, Google AI Overviews, and Gemini. Entity coverage, schema gaps, technical SEO.
Define the canonical graph - brand, products, people, peers, categories. The spine for every page and every schema block.
Ship pages mapped to the entity graph, with schema that mirrors it exactly. Every page has a specific job.
Re-run the same prompt set monthly. Track citation share, referring domains, organic sessions. Iterate on what moved.
Free · 5 business days
We run a fixed prompt set against your brand across four AI engines, map the entity-coverage gaps, and return a top-five prioritized plan within five business days. Free, scoped, no deck.
Request your AEO audit