How AI search differs from Google
Google ranks pages and shows links. AI search extracts content and synthesizes answers. So instead of competing for position #1, you compete to be the source that gets cited in the AI's answer. Different game.
The answer capsule pattern
Every page on our site has a 40-60 word direct answer at the top (after the H1, before the body). AI engines pull this for their summary. Without it, AI tools either skip your page or summarize less effectively. With it, your content gets cited as the source.
Structured data for AI parsing
- FAQ schema: tells AI engines your Q&A blocks are answer-able
- HowTo schema: signals step-by-step content
- Article schema: clean attribution to author + publish date
- BreadcrumbList: signals page hierarchy
- JSON-LD format: more parseable than microdata for AI engines
Specific facts with citations
AI engines reward specificity. "$297 + state fee" beats "low cost." "75% Mercury approval for Indian founders" beats "good approval rate." "$25,000 IRS penalty for missing Form 5472" beats "significant penalty." We cite IRS, Wyoming SoS, FinCEN, and Wise official sources inline where relevant.
Question-format H2 headings
"How long does Wyoming LLC formation take?" beats "Timeline." AI engines match user query syntax. Question-format H2s align with the search input. Direct answer immediately follows. Maximizes citation likelihood.
Results so far
Our content is now cited by ChatGPT search for queries like "wyoming llc cost," "mercury bank for non-residents," "form 5472 penalty." Estimated 3x increase in AI citation rate vs our 2024 baseline. Direct traffic from AI citations: 8-12% of total inbound traffic and growing.