When an investor asks ChatGPT for a crypto tax CPA, whose name comes back?
In our runs, the same two or three firms take the answer nearly every time — and specialist practices doing deeper work on DeFi, staking, and cost-basis reconstruction rarely appear at all.
What the answers look like in this niche
Ask an assistant "who handles crypto taxes for DeFi investors" or "best CPA for staking and NFT income" and you get a shortlist of four or five names with a short description each. One firm with a large content operation dominates the category; the rest of the answer usually fills with generalist directories and a couple of software vendors. Practices with genuine on-chain expertise — reconciliation across dozens of wallets, lot-level cost basis, 1099-DA readiness — are frequently absent from the answer that decides who gets contacted.
Why it happens
Models don't evaluate technical depth. They assemble answers from what the internet repeats: category listicles, review platforms, directory taxonomies, community threads, professional registries, and vendor comparison pages. Roughly 85% of AI citations point at third-party sources rather than a firm's own website. A practice can be the most capable in the niche and still be invisible if those sources never mention it.
What we do about it
- Measure — a frozen panel of real crypto-tax buyer questions run across ChatGPT, Perplexity, Gemini and Google AI. Your appearance rate, your named competitors', logged and screenshotted.
- Map — the specific pages the answers cite in this niche, ranked by citation frequency, plus an audit of your third-party footprint: IRS credentialed-preparer directory, AICPA verification, Clutch and G2 taxonomies, review platforms.
- Move — profile corrections, placement in the sources AI cites, and rewriting your own pages into claims a model can extract and repeat: who you serve, which chains and protocols, at what engagement size.
Read the benchmark research → · Ovrenn vs AI visibility software → · Sample audit →
Questions buyers in this niche ask us
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