The biggest GEO obstacle for a law or accounting firm is not a lack of expertise. It is expertise packaged in a form AI cannot read. A legal opinion written for fellow professionals may be rigorous and complete, yet ChatGPT or Perplexity may struggle to extract a concise answer from it. The firm's collective experience remains locked in a format the model cannot reliably use.
Why AI Often Overlooks Professional Firms
Tax and legal questions are YMYL topics involving money and significant rights, so AI engines approach them cautiously. When a user asks whether an overseas ecommerce business must pay tax in Taiwan or whether a post-employment noncompete is enforceable, the model prefers a source with a clear position and a traceable legal basis. Most firm websites sit at one of two extremes: a three-line service description with too little substance, or a 2,000-word legal analysis with a loose structure and the conclusion at the end. The first offers nothing to cite; the second makes the answer difficult to extract.
In an audit for a mid-sized tax firm, we found more than 40 expert articles on its website, yet mainstream AI engines never named the firm in answers about business tax or offshore income. The substance was sound, but the pages were not written in a form the models could extract.
Put the Answer First, Not Last
AI extraction works in the opposite order from a senior lawyer's opinion. A lawyer establishes the facts, explains the issues, cites precedent, and ends with a conclusion. A model wants the answer at the beginning of the passage. To make the expertise citable, each subsection should state the conclusion first and then add its reasoning and exceptions. This does not make the analysis shallow; it simply moves the judgment forward.
- A direct answer to the main question in the first sentence
- The relevant legal authority or provision, such as a specific section of the Income Tax Act
- A concrete threshold, amount, or time limit
- An exception or condition defining when the answer does not apply
State the Authority Signals AI Cannot Infer
Whether AI will cite financial or legal guidance depends partly on whether it can identify a qualified author. A generic article published only under a company name carries less authority than one attributed to a licensed lawyer or accountant with stated credentials and experience. That distinction is especially important for YMYL topics, where models favor sources with accountable authorship and relevant professional backgrounds.
Cite Authorities and Thresholds So the Answer Can Be Verified
Verifiability is the moat around tax and legal content. A sentence that cites Article 14 of the Income Tax Act and identifies a 1 million New Taiwan dollar threshold gives a model something it can cross-check. A vague instruction to proceed “under the relevant regulations” offers little value and makes the surrounding guidance less trustworthy.
- Cite the specific statute, provision, administrative interpretation, or letter
- Give the current year's actual threshold, deduction, or filing deadline and label the applicable year
- Present tiered tax rates or thresholds in a table or concise list
- State honestly which parts depend on individual circumstances instead of using that caveat to obscure the general rule
Use the Questions Clients Actually Ask as Headings
Firm articles often use academic titles such as “A Discussion of Noncompete Clauses” or “Taxation of Overseas Ecommerce.” Clients use different language in AI: “How long after leaving a job can I be barred from joining a competitor?” or “Do I owe tax in Taiwan on overseas freelance work?” When headings match those real questions, a model can connect the passage to the prompt and cite it more readily.
Treat every article as a set of questions. Use the question genuinely on the reader's mind as the heading, then answer it cleanly in the first paragraph.
Track the Firm's Visibility in AI Answers
After restructuring the content, measure whether it works. Traditional rank trackers cannot see citations inside AI answers. Tenten's Brand Radar checks the important questions in your field on a regular schedule and records whether major AI engines mention the firm or cite its articles, revealing which topics are established and which remain absent.
Tax and legal expertise is a firm's strongest asset, but much of it remains locked in formats AI cannot read. Book a 30-minute GEO diagnostic to identify the authoritative answers that are missing from or inaccessible on the firm's website.
