AI Visibility Architecture
AI Visibility Architecture
For organizations that need their semantic structure built from the ground up, not patched together after launch.
This isn't an audit. It's a build. I design the semantic layer underneath your entire site so AI systems can understand, represent, and recommend you accurately, not just crawl past you.
What the Engagement Covers
I start with entity architecture and a site-wide semantic cleanup, since almost nothing else works if that foundation is fuzzy. Then I design the structured data system, content relationships, internal discovery, measurement plan, and the implementation rules your templates need to keep those signals consistent. Optional machine-readable files can support public data discovery or a defined federation protocol, but they are not a substitute for crawlable pages and are not a general requirement for Google AI features.
What Gets Built
- An entity map covering the organization, people, services, products, subjects, and durable identifiers.
- A page-intent map that gives each important question and concept a clear owner.
- A structured data model tied to visible content and reusable template rules.
- Internal links, breadcrumbs, category relationships, and canonical decisions.
- A content contract for definitions, evidence, dates, authorship, and updates.
- A measurement baseline separating search exposure, crawler activity, citations, visits, and inquiries.
How the Work Is Implemented
The sequence follows the dependencies. We resolve identity and page ownership before multiplying schema. We repair crawl and canonical problems before interpreting visibility changes. We update the content model before producing dozens of pages that repeat the same ambiguity. The result is a maintainable system, not a stack of disconnected recommendations.
What This Work Can and Cannot Do
Clear architecture can make a site easier to crawl, interpret, retrieve, and measure. It cannot guarantee a citation, ranking, recommendation, or inquiry. Those outcomes depend on demand, evidence, competition, system behavior, and the quality of the offer as well as the site's technical and semantic foundation.
Who This Is For
Healthcare organizations, professional services firms, SaaS companies, publishers, and enterprise brands that need semantic infrastructure built to last, not a quick patch.
Price
$2,500 to $15,000+ depending on scope. Tell me about your organization and I'll scope it.