AI Site Rebuild

Optional · Standardized scope

An optional six-week data engineering sprint. We rebuild your informational surface (landing, product list, certificates, FAQ, insights) as an entity graph AI systems can parse, trust, and cite. Based on existing on-site data. Online purchase, login, and backend systems are never touched.

What's in scope

Landing pages
Product list
Certificates
FAQ
Insights / blog

What's out of scope

Online purchase / checkout
Login / user accounts
Admin panels or dashboards
Workflow automation
Backend business logic

Week 1–2

Model

We map your content as structured entities that AI can resolve back to your brand.

Content ETL
Extract product, team, and docs data from your site into a machine-readable graph.
Entity modeling
Every product, service, and person mapped with verifiable attributes and relationships.

Week 3–4

Deploy

The three layers AI systems actually read, hand-built into your site.

Schema + JSON-LD
Organization, Product, Person, FAQ, and HowTo schemas crafted per key page.
Retrieval-ready content + llms.txt
A crawler-friendly index and verified passages that make source facts easier for AI systems to retrieve.

Week 5–6

Verify

Test the rebuild against the platforms that actually cite you, then patch the gaps.

Internal linking
Topic clusters and link architecture that reinforce every entity's authority.
Scoped multi-platform QA
Calibrated AI search probes measured and patched, with additional platforms added when the engagement scope and calibration allow it.

After the rebuild

You get a turnkey static CMS, fully wired so your team ships product, certificate, FAQ, and post updates whenever you need. Deeper engineering updates are priced as add-ons.

Standardized scope
Weekly demos
Git-auditable
Turnkey static CMS
Scoped platform QA