Product 2 · After the audit
AI Discovery Implementation Sprint
Implement the highest-confidence changes identified by the audit, with a verifiable release trail and a comparable re-measurement at pre-agreed windows.
What you get
- Entity foundation: canonical descriptors, Organization schema, profile consistency, disambiguation, factual corrections
- Owned-source quality: answer-first pages, evidence-backed FAQs, authorship and review dates, structured data
- Citation readiness: original data assets, methodology pages, statistics, comparison criteria, downloadable evidence
- Third-party credibility plan: legitimate directories, review surfaces, partner references, trade media, analyst and association opportunities
- Technical accessibility: robots/crawler policy, canonicalization, metadata, structured-data validation, page extractability
- Measurement and attribution: baseline lock, release ledger with checksums and rollback references, AI-referral tracking where observable
Not included
- Guaranteed mentions, rankings, citations, traffic, leads, or revenue
- Regulated insurance claims published without your compliance approval
- Unbounded scope — additions are written change orders
Three delivery modes
Advisory
We supply specifications and acceptance criteria; your team implements. Lowest cost, your pace.
Co-delivery
We produce the assets — pages, schema, data assets, briefs — and work with your marketing and web teams to release them.
Managed
We implement approved changes inside explicitly granted repositories or CMS accounts, under a separate access matrix with least-privilege credentials, staging, approvals, backups, and named rollback ownership.
Every release is recorded in a ledger — artifact, checksum, approval, date, environment, rollback reference — and re-measurement happens only at pre-agreed comparable windows, never by chasing daily model noise. Regulated insurance claims are published only with your compliance approval.