How Agencies, Accountants and Consultants Win AI Citations

Professional-services firms that sell expertise (agencies, accountants, consultants, clinics) get cited by AI the same way law firms do: with a clear, machine-readable identity, authoritative third-party corroboration, and answer-first content that proves real expertise on the questions clients ask. The buyer’s shortlist now forms inside an assistant, and the firms it names are the ones that did this work.

A law firm became Perplexity’s first-named source in its niche by doing exactly this. There’s nothing law-specific about the method. It transfers to any firm whose product is trust and know-how.

Why do buyers now choose experts through AI?

Because hiring an expert is a high-trust, high-research decision, and AI compresses it. Rather than wade through a dozen near-identical “about us” pages, a buyer asks an assistant “best growth agency for fintech,” “an accountant for a company expanding into Hong Kong,” or “a consultant who’s done X,” and gets a short, reasoned shortlist. The behaviour is already mainstream: 51% of B2B buyers now start research with an AI assistant more often than Google, 73% use AI tools in the purchase journey, and 69% chose a different provider than planned based on AI guidance.

For a services firm, that last figure is the alarm: buyers are switching to whoever the AI vouches for. If that’s not you, you’re losing pitches you were never invited to.

The expert shortlist forms in AI before a buyer reads a single firm’s site, so choosing an expert is a trust decision and the AI’s answer is now where that trust gets assigned. The law-firm playbook transfers directly: entity, authority and answer-first proof, applied to your own discipline. Even referrals get verified in AI now, so an unfindable firm loses warm leads. And demonstrated expertise is the moat, because depth and accuracy are what make you safe to cite.

What gets a firm cited?

The levers are the ones proven across GEO, applied to a practice. First, a clear identity for the firm and its key people, so an assistant can resolve who you are and attribute expertise to you specifically. Second, authoritative corroboration: credible third-party signals that confirm your standing rather than relying on your own claims. And third, answer-first content that demonstrates genuine expertise on the precise questions clients ask, dense with accurate, specific substance the model can quote.

That last point is where most firms fall short and where the opportunity sits: thin “service page” copy doesn’t prove anything an AI can cite. Content that actually answers a client’s real question, with specifics rather than platitudes, does. This is the exact pattern behind how a Hong Kong law firm became Perplexity’s first-named source and how firms get cited by AI; for the foundations, what GEO is.

And referrals don’t exempt you. A referred buyer now checks you in an assistant before calling. If it can’t confirm you, a warm introduction cools. GEO ensures the firm a client was told to trust is the one the AI confirms.

Assembling identity, authority and demonstrated expertise, then maintaining them as engines change, is sustained, specialist work. If you’d rather be the expert the AI names, that’s the work I do.

Frequently asked questions

Why are professional-services buyers using AI to choose firms? Because choosing an expert is a trust decision, and AI makes the shortlist faster and feel neutral. Over half of B2B buyers now start research with an assistant.

What gets a firm cited by AI? A clear firm-and-people identity, authoritative corroboration, and answer-first content that proves real expertise on the questions clients ask.

We rely on referrals, do we still need this? Yes. Even referred buyers verify you in AI before calling. If the assistant can’t confirm you, a warm referral can cool.