Question 1

What does done-for-you per-location JSON-LD auto-generation in a Diagnose-Prescribe closed loop actually deliver?

Accepted Answer

Completions builds and operates a JSON-LD auto-generation closed loop on the schema-graph-orchestration agent for multi-location retailers, multi-unit operators, franchise systems, and regulated multi-location operators running 50-1,500 locations across multiple verticals. Master-record sourcing: every JSON-LD field traces back to a master-record source — per-location NAP record, attribute registry, service-area polygon, entrance coordinates, hours, amenities, services, products, events, jobs, courses, recipes, reviews, person and organization records — with operator-controlled canonical resolution, conflict resolution, freshness validation, and per-field versioning inside the operator data warehouse (Snowflake, BigQuery, Databricks, Redshift, or Postgres). Per-schema-class generation: outputs run across the Schema.org class set the operator uses (LocalBusiness and its specializations including Restaurant, LodgingBusiness, AutomotiveBusiness, MedicalBusiness, HealthAndBeautyBusiness, FinancialService, LegalService; Service; Product and ProductGroup; Offer and AggregateOffer; Review and AggregateRating; FAQPage and QAPage; HowTo; Article, NewsArticle, BlogPosting; Event; Course; JobPosting; Recipe; VideoObject and ImageObject; Person and Organization; BreadcrumbList and SiteNavigationElement; WebSite, WebPage, WebApplication, SoftwareApplication; AboutPage and ContactPage). Generation runs in the operator CMS (WordPress with Yoast SEO, Rank Math, SEOPress, Schema App, or WP Schema Pro; Sanity; Contentful; Strapi; Webflow; Shopify; Next.js) with per-page per-schema-class output, vocabulary-level validation against Schema.org, and rich-result-eligibility validation against the Google Rich Results Test, the Schema Markup Validator, Yandex Microdata Validator, the Bing URL Inspection tool, and the JSON-LD Playground. Diagnose mode: per-page per-schema-class outputs feed Diagnose against vocabulary violations (invalid field, deprecated field, missing required), Google rich-result eligibility criteria, Bing and Yandex eligibility criteria, AI-search vendor expectations where the operator scrapes AI-Overview surfaces, cross-page consistency, and master-record drift. Diagnose output carries the problem identification (missing field, invalid field, deprecated field, cross-page drift, vocabulary violation, eligibility violation, entity mismatch, cross-source conflict), the impacted page set, and the projected impact tier. Prescribe mode: prescriptions route through eight remediation outcomes (auto-generate, auto-correct, auto-replace, auto-merge, auto-deprecate, queue-for-human-review, escalate-to-counsel, reject) based on confidence tier, impact projection, and operator-counsel-approved rules. Closed-loop feedback: post-publish rich-result capture from Google Search Console and Bing Webmaster plus traffic and CTR signals feed back into the eligibility scoring model and the generation prompt library. The operator workflow engine (Temporal, Inngest, Trigger.dev, or Vercel Queues) routes the loop. The operator crawler stack (Screaming Frog, Sitebulb, JetOctopus, ContentKing, Oncrawl, Botify) runs scheduled audits against the page surface where the operator runs one. The per-vertical compliance overlay covers HIPAA where healthcare schema applies, FDA OPDP where pharma schema applies, DEA where controlled-substance products surface, state- Metrc and DISCUS and FDA tobacco where the relevant vertical applies, state-licensing-board where regulated services apply, FTC Section 5, Lanham Act, state-AG UDAP, ADA Title III, WCAG 2.2 AA accessibility annotations, COPPA where applicable, and FTC Franchise Rule plus FDD Item 19 financial-performance-representation rules where the operator is a franchisor sharing performance data through schema. The LLM-as-judge ensemble (OpenAI GPT-5, Anthropic Claude Opus 4.7, Google Gemini Ultra, Mistral Large, Cohere Command R+, Meta Llama-3.1-405B) annotates borderline Diagnose-Prescribe decisions with explainability trace. Audit trail: every Diagnose finding, Prescribe routing, master-record snapshot, JSON-LD version, rich-result-capture event, and feedback event persists to operator-controlled WORM storage (AWS S3 Object Lock, Google Cloud Storage retention, Azure Blob immutable, or Snowflake Time Travel) at per-statute retention windows reviewed by operator counsel. Operator owns the master record, the per-schema-class library, the generation and Diagnose-Prescribe code, the closed-loop feedback model code, the per-vertical compliance overlay rule library, the LLM prompts, the orchestration code, and the audit trail. Completions owns the orchestration knowledge.

Question 2

Why is per-location JSON-LD auto-generation typically operator-side rather than schema-validation-vendor- or CMS-vendor-shipped?

Accepted Answer

Six engineering surfaces sit between operator data infrastructure and a working per-location JSON-LD auto-generation closed loop, and they sit outside the design center of the schema-validation, CMS, schema-plugin, crawler, SERP-data, and LLM ecosystems that own the upstream primitives. Surface 1 — Master-record sourcing: the operator data warehouse (Snowflake, BigQuery, Databricks, Redshift, or Postgres) holds the master record, but the canonical-resolution and conflict-resolution logic from disparate operator data sources is operator data-engineering work. Surface 2 — Per-schema-class generation: WordPress with Yoast SEO, Rank Math, SEOPress, Schema App, or WP Schema Pro, plus Sanity, Contentful, Strapi, Webflow, Shopify, and Next.js, ship strong schema-emission primitives but the multi-location per-schema-class coverage matrix is operator-side. Surface 3 — Diagnose against eligibility criteria: Google Rich Results Test, Schema Markup Validator, Yandex Microdata Validator, Bing URL Inspection, and JSON-LD Playground ship strong validation primitives but operator-side modeling ties them to per-location workflow; Google Search Console, Bing Webmaster, and Yandex Webmaster ship strong rich-result-eligibility signals but per-location aggregation is operator-side. Surface 4 — Prescribe routing: Temporal, Inngest, Trigger.dev, and Vercel Queues ship strong durable-workflow primitives but the routing policy from Diagnose finding to operator-team or counsel queue is operator-side. Surface 5 — Closed-loop feedback: Screaming Frog, Sitebulb, JetOctopus, ContentKing, Oncrawl, and Botify ship strong audit primitives but operator-side modeling ties them to post-publish capture aggregation and feedback into the generation prompt library and eligibility scoring model. Surface 6 — Per-vertical compliance overlay: Schema.org vocabulary, Google + Bing + Yandex rich-result eligibility criteria, AI-search vendor terms-of-service, HIPAA, FDA OPDP, DEA, state- Metrc, DISCUS, FDA tobacco, state-licensing-board, state-financial, FTC Section 5, Lanham, state-AG UDAP, ADA Title III, WCAG 2.2 AA, COPPA, FTC Franchise Rule, and FDD Item 19 are operator-counsel-side. Completions runs orchestration across all six surfaces under one Tier 3 Fractional CMO with AI Swarm engagement; operator owns the artifacts and can in-house at any time.

Question 3

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

Accepted Answer

Tier 1 AI Readiness Assessment (2-3 weeks, diagnostic): audits the six surfaces above against the operator stack — what master-record discipline lives in the warehouse today, which CMS and schema-plugin layer ships JSON-LD now, which validators and crawlers run, what SERP-data ingestion exists, which LLM-as-judge models are accessible, and where the per-vertical compliance overlay needs counsel review. Tier 2 AI Swarm Setup Sprint (4-8 weeks): builds the JSON-LD auto-generation closed loop on the schema-graph-orchestration agent, with the per-schema-class library reviewed by operator SEO and data-engineering teams, the Diagnose-Prescribe decisioning reviewed by operator catalog-ops, and the per-vertical compliance overlay rule library reviewed by operator counsel per vertical. Tier 3 Fractional CMO with AI Swarm (6-month minimum, 1-2 days/wk embedded): continues operating the bundle end-to-end and coordinating with the adjacent rich-result-eligibility-scoring, schema-validation, schema-auto-remediation, per-vertical-catalog-schema-validation, master-record-canonicalization, and compliance-overlay-manager siblings.

Question 4

Who owns the master-record registry, schema-generation model, per-schema-class library, and audit trail?

Accepted Answer

Operator owns 100% of every artifact. The master record sits in the operator data warehouse (Snowflake, BigQuery, Databricks, Redshift, or Postgres). The per-schema-class library lives in the operator repo with operator-controlled per-schema-class per-field versioning and per-search-engine eligibility-criterion versioning. The per-schema-class generation model code lives in the operator repo with operator-controlled deploy pipeline aligned with the operator data-science team. The Diagnose-Prescribe decisioning configuration lives in the operator repo aligned with the operator SEO team and operator counsel. The master-record sourcing model code is aligned with the operator data-engineering team. The closed-loop feedback model code is aligned with the operator data-science team. The CMS, schema-plugin, crawler, validator, and SERP-data credentials (WordPress, Yoast SEO, Rank Math, SEOPress, Schema App, WP Schema Pro, Sanity, Contentful, Strapi, Webflow, Shopify, Next.js, Screaming Frog, Sitebulb, JetOctopus, ContentKing, Oncrawl, Botify, Google Search Console API, Bing Webmaster API, Yandex Webmaster API, Google Rich Results Test, Schema Markup Validator, Yandex Microdata Validator, Bing URL Inspection, JSON-LD Playground) sit under operator billing where the operator runs them. Workflow-engine credentials (Temporal, Inngest, Trigger.dev, Vercel Queues) sit under operator billing. LLM API credentials (OpenAI, Anthropic, Google, Mistral, Cohere, Meta) sit under operator billing. The compliance overlay rule library lives in the operator repo with attorney-approved updates and tracks Schema.org vocabulary, Google + Bing + Yandex rich-result eligibility criteria, AI-search vendor terms-of-service, HIPAA, FDA OPDP, DEA, state- Metrc, DISCUS, FDA tobacco, state-licensing-board, state-financial, FTC Section 5, Lanham Act, state-AG UDAP, ADA Title III, WCAG 2.2 AA, COPPA, FTC Franchise Rule, and FDD Item 19. The brand spec is versioned in the operator repo. The LLM prompt library lives in the operator repo. The audit trail persists to operator-controlled WORM storage (AWS S3 Object Lock, Google Cloud Storage retention, Azure Blob immutable, or Snowflake Time Travel) at per-statute retention windows reviewed by operator counsel. The attorney relationship is operator-owned and operator-counsel-maintained; Completions accesses attorney work-product under operator-controlled attorney-client privilege. Completions owns the orchestration knowledge — how to design per-schema-class generation contracts, how to tune Diagnose-Prescribe decisioning thresholds, how to debug master-record sourcing cascades, how to close the feedback loop from rich-result capture back to the generation prompt library and eligibility scoring model, and how to coordinate with the rich-result-eligibility-scoring, schema-validation, schema-auto-remediation, per-vertical-catalog-schema-validation, master-record-canonicalization, and compliance-overlay-manager siblings. The operator can in-house at any time; Completions credentials revoke immediately on engagement-end and the attorney relationship continues unbroken.

Question 5

What does Completions commit to on a Tier 3 engagement?

Accepted Answer

Completions commits to a 6-workstream pre-engagement-baseline reporting cycle on the schema-graph-orchestration agent: (1) Master-Record-Sourcing workstream — pre-engagement baseline of which master-record sources are wired to JSON-LD generation today and at what freshness cadence, then weekly reporting on per-source canonical-resolution outcomes and field-versioning state. (2) Per-Schema-Class Generation workstream — pre-engagement baseline of which Schema.org classes the operator emits today and at what coverage, then weekly reporting on per-schema-class per-field generation completeness and vocabulary-validation pass distribution. (3) Diagnose-against-Eligibility workstream — pre-engagement baseline of which Google + Bing + Yandex rich-result eligibility criteria the operator currently meets, then weekly reporting on Diagnose-mode problem-identification volume, impact-projection distribution, and cross-page-drift events caught. (4) Prescribe-and-Routing workstream — pre-engagement baseline of how remediation flows today and which queues exist, then weekly reporting on Prescribe-mode routing (auto-generate, auto-correct, auto-replace, auto-merge, auto-deprecate, queue-for-human-review, escalate-to-counsel, reject) and per-route SLA adherence. (5) Closed-Loop Feedback workstream — pre-engagement baseline of how post-publish rich-result capture currently informs the generation pipeline, then weekly reporting on Search Console + Bing Webmaster + Yandex Webmaster capture events, traffic/CTR delta annotation, and feedback into the generation prompt library and eligibility scoring model. (6) Compliance-Overlay + WORM-Audit workstream — pre-engagement baseline of which frameworks in the rule library are attorney-approved today, then weekly reporting on overlay completeness across Schema.org vocabulary, Google + Bing + Yandex eligibility criteria, AI-search vendor ToS, HIPAA, FDA OPDP, DEA, state- Metrc, DISCUS, FDA tobacco, state-licensing-board, state-financial, FTC Section 5, Lanham Act, state-AG UDAP, ADA Title III, WCAG 2.2 AA, COPPA, FTC Franchise Rule, and FDD Item 19, plus per-statute retention-window coverage. Caveats: Schema.org vocabulary, Google rich-result eligibility criteria, Bing and Yandex eligibility criteria, and AI-search vendor terms-of-service can change without notice and require Completions to update generation and Diagnose-Prescribe logic on detection; CMS and schema-plugin vendor API and pricing changes are vendor decisions outside Completions control; crawler vendor API and pricing changes are outside Completions control; Google Search Console + Bing Webmaster + Yandex Webmaster API rate limits and data lag are outside Completions control; LLM-vendor API rate limits, model deprecation, and pricing changes are outside Completions control; per-vertical regulator policy can change without notice; FDD Item 19 thresholds + disclosure rules are FTC + state franchise-administrator policy + can change; per-statute retention windows are operator-counsel-policy decisions; WORM-storage retention is operator-counsel-managed; rich-result outcomes depend on search-engine algorithm updates outside Completions control; per-vertical compliance overlay shared with franchisees under FDD Item 19 is operator-counsel-policy; the audit trail persists to operator-controlled storage on the operator cloud account.

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 across 3-5 operator team members covering master-record sourcing, per-schema-class generation, Diagnose-against-eligibility, Prescribe-and-routing, closed-loop feedback, per-vertical compliance overlay management, and WORM-audit discipline + CMS and schema-plugin credentials hand-off + crawler vendor credentials hand-off + validator credentials hand-off + Google Search Console + Bing Webmaster + Yandex Webmaster credentials hand-off + workflow-engine credentials hand-off + LLM API credentials hand-off + master-record registry hand-off + per-schema-class library hand-off + generation model code hand-off + Diagnose-Prescribe decisioning config hand-off + master-record sourcing model code hand-off + closed-loop feedback model code hand-off + LLM prompts hand-off + compliance overlay rule library hand-off + audit-trail hand-off with WORM-storage operator-account-ownership confirmation; Completions credentials revoke immediately on engagement-end and the attorney relationship continues unbroken.

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