Question 1

What does the done-for-you JSON-LD schema audit engagement deliver?

Accepted Answer

Completions builds and operates a 4-skill bundle on the schema-graph agent: Schema-Discovery, Schema-Validation, Drift-Detection, Continuous-Reaudit. Skill 1 (schema discovery) discovers JSON-LD across 15 schema types per page: Service, Product, LocalBusiness, Organization, BreadcrumbList, FAQPage, Article, HowTo, VideoObject, Review, AggregateRating, Offer, Person, Event, CreativeWork. Skill 2 (schema validation) validates per-page JSON-LD against 4 spec bodies — Schema.org, Google rich-results, Bing, Yandex — and the per-vertical required-property set. Skill 3 (drift detection) detects 6 drift types per page: schema-removed-from-page, property-missing, property-value-changed, schema-spec-version-changed, Google-rich-results-eligibility-changed, per-page-traffic-impact. Skill 4 (continuous reaudit) re-emits the audit cycle continuously across 4 trigger types — weekly cycle, on-demand cycle, post-deploy cycle, post-content-update cycle — with A/B cohort and rollback-trigger semantics. The per-vertical compliance overlay covers FTC-disclosure schema + health-claims schema + financial-disclosure schema + CCPA schema + GDPR schema + ADA + WCAG accessibility schema. Operator owns every artifact: 4 registries in operator data infrastructure; 4-skill model code aligned with operator SEO-engineering team; per-vertical compliance overlay rule library; schema spec library; LLM prompts; audit trail. Completions owns the swarm-orchestration knowledge.

Question 2

Why is continuous schema audit + drift-detection + rollback trigger typically operator-side rather than validation-vendor-shipped?

Accepted Answer

The validation vendors (Google Rich Results Test, Bing Webmaster Tools, Yandex Webmaster, Schema.org Validator) ship excellent per-page validation against their respective spec bodies. The schema-authoring vendors (Schema App, WordLift, Schema Pro, Rank Math, Yoast SEO, All in One SEO, Merkle Schema Markup Generator, Schema Markup Generator, Hall Analysis SEO Pro) ship excellent generation primitives. The crawl vendors (Sitebulb, Screaming Frog, Botify, Lumar, OnCrawl) ship excellent periodic site crawls with schema reporting. None of them ships the continuous 4-skill pipeline that fires on weekly + on-demand + post-deploy + post-content-update triggers with A/B cohort + rollback trigger semantics because the schema-type taxonomy reflects operator-specific catalog modeling; the per-vertical required-property-set integrates operator brand voice + claims-allowlist + per-vertical compliance rules; the drift-detection thresholds reflect operator SEO + product team policy; the rollback trigger integrates with operator CMS + deploy pipeline + content-update event stream. The work that remains operator-side spans four engineering surfaces: schema-engineering for 15-type discovery at thousands-of-pages scale; spec-engineering for 4-spec-body validation with per-vertical required-property-set; monitoring-engineering for 6-drift-type detection with per-page traffic-impact correlation; runtime-engineering for 4-trigger-type continuous-reaudit with A/B cohort + rollback. Completions absorbs all four surfaces under one Tier 3 Fractional CMO with AI Swarm engagement and hands the artifacts back at engagement end.

Question 3

What does the engagement look like across Tier 1 to Tier 2 to Tier 3?

Accepted Answer

Tier 1 AI Readiness Assessment (2-3 weeks, diagnostic): audits four axes. Tier 2 AI Swarm Setup Sprint (4-8 weeks): builds 4-skill bundle on schema-graph agent — completing the 19th 4-skill bundle + Continuous-audit-cycle signature + 20th closed-loop orientation architecture. Tier 3 Fractional CMO with AI Swarm (6-month minimum, 1-2 days/wk embedded): continues operating end-to-end + cross-agent swarm coordination.

Question 4

Who owns the registries?

Accepted Answer

Operator owns 100% of every artifact: 4 registries (in operator data infrastructure), 4-skill bundle model code (operator-owned + operator-SEO-engineering-team-aligned), per-vertical compliance overlay (rule library in operator repo with attorney-approved updates), schema spec library, LLM prompts, audit trail. Completions owns the orchestration knowledge.

Question 5

What measurement and reporting does Completions commit to on Tier 3?

Accepted Answer

Measured against the operator pre-engagement baseline across six workstreams, reported weekly. (1) Schema-discovery coverage trajectory — share of pages under active discovery across the 15 schema types; per-type ingest health. (2) Schema-validation pass-rate trajectory — per-spec-body (Schema.org, Google, Bing, Yandex) + per-vertical required-property-set pass-rate; per-spec-body failure trace. Reported against pre-engagement baseline rather than at a 99-percent target because validation pass-rate depends on the schema generation regime + per-vertical required-property set operator approves. (3) Drift-detection quality — per-drift-type precision + recall across the 6 drift types against an operator-labeled validation set; per-type calibration trace. Reported against pre-engagement baseline rather than at a 95-percent precision target because precision depends on the labeled-validation regime + drift thresholds operator approves. (4) Continuous-reaudit cycle latency — end-to-end cycle time per trigger type (weekly, on-demand, post-deploy, post-content-update); reported against pre-engagement quarterly-manual-audit baseline rather than at sub-N-hour targets. (5) Google rich-results eligibility trajectory — share of pages with rich-results eligibility against the operator pre-engagement baseline; reported as a trace rather than promised at a 15-percent uplift because rich-results eligibility depends on Google ranking + display algorithms + competitor SERP activity + macro search behavior outside the schema layer. (6) Rollback-trigger trace — share of detected regressions routed to rollback within per-trigger SLA; per-rollback-trigger downstream outcome trace. Reported as a trace rather than promised at a sub-15-minute target because rollback time depends on operator CMS + deploy pipeline + content-update event stream + downstream-team response cadence. Process commitments are firm: weekly per-schema-type discovery health check; weekly per-spec-body validation queue; weekly drift-threshold recalibration; weekly post-deploy + post-content-update trigger sync; weekly per-vertical compliance overlay update; weekly audit-trail emission. Outcome targets are not promised because rich-results eligibility depends on Google + Bing + Yandex algorithms operator does not control, and rollback time depends on operator deploy pipeline + downstream-team response cadence.

Question 6

How does engagement end and what is the operator transition path?

Accepted Answer

Tier 3 engagements are 6-month minimum with 90-day notice. At engagement end, Completions transitions back to operator in-house in 30-60 days: operating-playbook hand-off + in-house staff training + 4 registries hand-off + 4-skill bundle model code hand-off + per-vertical compliance overlay rule library hand-off + schema spec library hand-off + LLM prompts hand-off + audit trail hand-off; Completions credentials revoke immediately.

Done-for-you JSON-LD schema audit for multi-location franchise, multi-location retail, DTC, multi-channel retail, and PE-sponsored portfolio operators — a 4-skill Schema-Discovery + Schema- Validation + Drift-Detection + Continuous-Reaudit bundle on the schema-graph agent.

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