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Optional · Standardized scope

AI Site Rebuild

AI Site Rebuild is an optional, fixed-scope data engineering engagement for public informational pages. Inputs are the approved page inventory, current source content, brand entities, canonical URLs, and measurement baseline. Outputs are server-readable pages, structured entity data, source-linked passages, internal links, crawler controls, and an auditable handover. Checkout, accounts, private tools, workflow automation, and backend business logic remain outside scope.

Our Methodology
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

The modeling input is the approved in-scope page inventory plus the customer's existing product, service, team, certificate, FAQ, and insight sources. The output is a traceable content and entity map with canonical URLs, ownership, attributes, relationships, and source references. Modeling is accepted when every in-scope item has a declared source and destination, while missing or conflicting facts remain flagged instead of being invented.

  • 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

Deployment turns the approved map into server-rendered public pages, page-specific Schema.org JSON-LD, canonical metadata, source-linked answer passages, internal links, crawler routing, and an llms.txt index when appropriate. Deployment is accepted when the intended HTML is readable without client interaction, canonical URLs resolve consistently, structured data matches visible content, and every factual claim retains its approved source. Visual redesign and private application behavior are not deployment outputs.

  • 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

Verification re-fetches the deployed public URLs and repeats the same readiness checks that established the baseline. Crawl, canonical, language, structured-data, authorship, source, and passage findings must clear on re-measurement before handover; any unmeasured signal remains unknown. Scoped AI-answer probes may be repeated only for the declared questions, markets, languages, and calibrated platforms. Verification does not promise a citation, ranking, or delivery date from a third-party platform.

  • 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
Start with the AI Visibility Check