AEO by Industry

A B2B SaaS company optimizing for “best project management tool” faces entirely different AI retrieval dynamics than a law firm trying to appear in answers to “best divorce lawyer in Austin.” The queries are different, the content formats that get cited are different, and the authority signals that AI engines weigh are different. Generic AEO advice ignores these differences. Industry-specific strategy does not.

Each vertical has its own set of citation triggers. E-commerce brands need product schema, pricing markup, review aggregation, and comparison-ready content that AI engines can parse into structured answers. SaaS companies need feature comparison pages, integration documentation, and third-party validation from review sites like G2 and Capterra. Legal and professional services firms depend on local entity signals, practice-area authority content, E-E-A-T markers, and jurisdiction-specific schema. What works for one vertical often does nothing for another.

The queries matter too. SaaS buyers ask AI engines comparison questions: “Notion vs Asana for small teams.” Shopify shoppers ask product questions: “best wireless earbuds under $100.” Legal clients ask advice-seeking questions: “how to file for custody in Texas.” Each query type activates different retrieval paths inside AI engines, and the content that gets cited for each follows different structural patterns.

GetCited ships industry-specific playbooks and audit checks, with vertical-specific query archetypes. Instead of running generic checks, every audit stage looks for the signals that drive citations in your space. Select your industry below to see the full playbook.