Will AI Recommend Your CPA Firm? The Problem Is Your Site Never Told It You Exist

Ask ChatGPT, Claude, or Perplexity "who is a good CPA for equity compensation in California," and you will get an answer. It will name firms. The uncomfortable question for most accounting practices is simple: how does it decide who to name, and why is it never you?

The answer is usually not that your competitors are better. Often they are not. The answer is that their sites told the machine who they are in a format it can read, and yours did not.

AI does not read your website the way a person does

When you land on a firm's team page, you see it instantly: names, credentials, headshots, a short bio for each partner. One person is the trust and estate specialist. Another handles pre-IPO equity. Your brain connects a person to an expertise in about a second.

A language model does not do that. It reads structured data, the machine-readable facts a site publishes about itself, and it reads content written to directly answer a question. If your CPA's name and specialty exist only as styled text on a page, the model has no reliable signal that this person exists, is credentialed, and knows this topic. It sees words, not facts.

So when a user asks for a recommendation, the firms that get named are the ones whose expertise was published as fact. Not the best firms. The most legible ones.

The fix is called Person schema, and almost no firm uses it

Person schema is a small block of structured data that states, in a format every search engine and AI crawler understands, that a specific named human exists, holds specific credentials, works for your firm, and knows specific topics. Paired with your firm's Organization data, it draws a line the machine can follow: this person, at this firm, is an expert in this thing.

We have looked at a lot of accounting firm sites. The pattern is nearly universal: rich, real expertise sitting on the team page and the service pages, and zero Person schema marking any of it up. The credentials are right there for a human to read and completely invisible to a machine.

That gap is the opportunity, because it is both high-impact and almost entirely uncontested. Adding Person schema does not require writing a single new page. It makes the expertise you already have machine-readable.

Why this matters more every quarter

The AI assistants behind these answers do not run JavaScript, and they increasingly answer questions before anyone opens a results page. In our study of 368 sites, one in four hid answer-critical content from exactly these crawlers. For a business whose entire value is expertise, being invisible to the tools that recommend experts is the most expensive miss there is.

Classic Google ranking still matters and is not going away. But a second front has opened, and it rewards the firms that make their people and their knowledge legible first. Right now that is a short list.

What legible actually looks like

Three things, in order:

1. Mark up your named CPAs with Person schema, including their credentials and the topics they handle, tied to your firm's Organization.
2. Shape your key pages like answers, not brochures. A page that directly answers "how are RSUs taxed at IPO" in a clean, quotable paragraph is a page an AI can cite. A page that says "we offer equity compensation planning" is not.
3. Publish the machine-readable basics, like an llms.txt file, so AI agents can find and parse you at all.

None of that is a gimmick. It is the same move technical SEO has always been: telling the machine, precisely and in its own language, what a human already understands at a glance.

If you want the full version of this built for an accounting firm, that is exactly what our SEO for CPAs work does. But even if you never talk to us, do the Person schema. It is the single highest-leverage change most firms have never made.