What is Answer Engine Optimisation (AEO) for professional services?

Answer Engine Optimisation (AEO) is the discipline of preparing content for AI-generated answers — ChatGPT, Perplexity, Google AI Overviews, Bing Copilot — rather than for the traditional ten blue links. For professional services firms, AEO is now the highest-leverage marketing investment available, because buyers increasingly ask an AI before they ask a human, and the firm cited in that answer wins the discovery moment.

Mechanically, AEO differs from classical SEO in three ways. First, the unit of optimisation is the passage, not the page — AI engines extract 40–60-word answers and credit the source. Second, authorship matters explicitly: pages with named experts and machine-readable credentials are cited 2–3× more often than anonymous prose. Third, brand mentions across the open web (other people's pages, regulator directories, podcasts, news coverage) feed AI engines' authority models directly — your own site is not the only signal.

For regulated professional services — law firms, accountants, financial advisors, healthcare — AEO has an additional layer: trust signal markup. FCA registration, SRA roll numbers, GMC numbers, and ICAEW chartered status should all be present in Person schema via hasCredential. AI engines preferentially cite pages with verifiable credentials when the query is sensitive, which most professional-services queries are.

The content format that wins AEO is the structured answer page: question as H1, 40–60-word direct answer in the first paragraph, then key facts, then expanded prose, then FAQs with FAQPage schema, then citations. This is precisely the structure of an AI Overview itself — the engines reward content that already looks like the answer they would have generated, because it is easier to extract and attribute.

Common mistakes that suppress AEO performance: walls of unstructured prose with no extractable passage; anonymous authorship; missing FAQPage schema; thin content that an AI cannot confidently cite; and no llms.txt to signal which pages are authoritative. Fixing these is mostly editorial and structural work, not new copy — a 6-week AEO retrofit on existing service pages typically lifts AI citation frequency 3–5× without any new content investment.