CPA Firms
How CPA firms get cited and recommended by ChatGPT, Gemini, and Perplexity.
Clients shortlist firms on trust, and engines now write the shortlist. Thought leadership AI can't read is wasted spend.
“Which firm should we use for a cross-border acquisition?” “Who handles ESOP structuring for startups?” Prospects ask the assistant, and it answers from directories, publications and whatever firm content it can parse. The partner's brilliant PDF whitepaper, the gated webinar, the keynote nobody transcribed, none of it exists to the engines. Authority you can't be cited for is authority you don't have in this channel.
The firms winning AI answers aren't louder. They're more readable: the question stated plainly, the answer given directly, the author named and credentialed. Engines cite what they can parse and attribute.
We turn the thought-leadership archive into a first-party context layer: plain-language answer pages, author schema, llms.txt, shipped with your marketing team and verified live. The pattern is measured, not theorized: documentation-style pages got our anchor client named in 98.9% of their citations, versus 64.5% for conventional marketing pages.
Partners stay in the byline. We don't ghostwrite expertise, we restructure what your practice already knows into pages an engine can quote and attribute to your people.
The first-party-context playbook comes from a measured finding. Across 108,000+ citation sightings, docs-style pages were named in 98.9% of their citations versus 64.5% for the main site. We rebuilt the content program around that gap and watched citation share rise 35% in three weeks. The same structured-answer pattern is exactly what a firm's expertise needs to be cited.
The same playbook, written for the specific buyer: their prompts, their engines, their proof.
How CPA firms get cited and recommended by ChatGPT, Gemini, and Perplexity.
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Book a demo and we run your category's questions live: what the engines say about you today, and what we'd fix first.