What this solves

A small marketing site usually decays quietly. The offer shifts, old pages keep making old promises, analytics are checked only when someone is already worried, and content becomes a pile of drafts nobody trusts.

This offer turns the site into a maintained operating asset: a backlog, a publishing cadence, proof boundaries, conversion instrumentation, and a review process that lets AI help without inventing evidence.

What we build

  • A site operating map: priority pages, buyer paths, stale claims, content gaps, and conversion points.
  • A reviewable backlog for page fixes, articles, proof assets, SEO hygiene, and technical cleanup.
  • A build-log or decision-log pattern so public changes explain the work and its limits.
  • A privacy-safe measurement loop using page-path analytics, search queries where available, and human-confirmed lead signal.
  • Guardrails for AI-assisted drafting so claims stay sourced, specific, and approved before publishing.

Deliverables

  • Marketing-site audit with the first useful PR-sized changes ranked by impact and risk.
  • Maintained content workflow for articles, offer pages, proof demos, and build-log entries.
  • Conversion and reporting checklist that separates traffic signals from real lead quality.
  • Operating runbook for what the site may change autonomously and what still needs human approval.

The minimum operating loop

The first version does not need an enterprise content machine. It needs a weekly loop: production health, backlog triage, one bounded content or conversion improvement, build checks, production smoke test, and a short decision log. The companion article explains the operating model: The minimum operating loop for an AI-maintained marketing site.

What we need from you

  • Current site repo or CMS access, plus any deploy/build constraints.
  • Search Console, analytics, or exported page-path/query data if available.
  • Approved positioning, proof boundaries, and claims that must not change without review.
  • One human owner for lead quality and sensitive customer proof. The system can maintain the asset; it cannot approve a fake case study for you.

Risks and constraints

This is not a traffic guarantee or content factory. It works when the business wants a tighter operating loop: better pages, cleaner evidence, safer intake, and faster iteration around real buyer behavior. If there is no analytics access or lead feedback, the first slice should fix that before pretending the site is learning.