Work focused on helping a business become easier to understand, crawl, find, and trust across traditional search engines and newer AI-powered search experiences. No promises of magic rankings—just cleaner signals, stronger structure, and fewer technical obstacles.
Page titles, descriptions, canonicals, crawlability, internal structure, broken links, schema, content hierarchy, and the technical details that help search engines understand a site.
Clear business information, service-area signals, location consistency, Google Business Profile support, and local content that reflects what the business actually does and where it serves.
Making the business easier for AI systems and answer engines to interpret by improving entity clarity, structured information, accessible content, useful FAQs, and machine-readable site signals.
Objective checks for technical problems before jumping to recommendations. The goal is to separate what was actually measured from what is only a possible opportunity.
STNY uses a hybrid website-audit workflow that combines fast page-level checks with deeper crawling so technical findings can be reviewed before making recommendations. The same principle applies to SEO and AI visibility: measure first, establish whether a finding actually applies, then decide what is worth fixing.
AI search visibility is still evolving. STNY can improve the clarity and accessibility of a site's information, but no agency can guarantee that a specific AI assistant, search engine, or answer engine will cite or recommend a business.