What is rich-result eligibility scoring + revenue-impact estimation — and what is the fake-review-retroactive-enforcement problem when 50+ rich-result classes are in play?

A multi-location retail operator with 80 stores depends on 50+ Google-documented rich-result classes — LocalBusiness + 20+ LocalBusiness subtypes (Restaurant + MedicalBusiness + LegalService + FinancialService + AutoDealer + Plumber + Electrician + Locksmith + RoofingContractor + GeneralContractor + MovingCompany + ChildCare + Notary + Physician + Dentist + Pharmacy + Hospital + RealEstateAgent + ProfessionalService + HealthAndBeautyBusiness) + Product + Offer + AggregateRating + Review + Recipe + Event + FAQ (deprecated except medical/government 2023) + HowTo (mobile-only as of 2023) + Article + NewsArticle + BlogPosting + VideoObject + JobPosting + Course + Dataset + Podcast + SoftwareApplication + Book + Movie + TVSeries + Restaurant-Menu + Sitelinks-search-box + Carousel + QAPage + Speakable + Math-solver + Practice-problems + Vehicle + Estimated-salary + Education-QA + ImageObject-with-License + Subscription-paywall + Discussion-forum + Profile-page + Vacation-rental + Loyalty-program + Breadcrumb. The four-skill bundle on the schema-audit-remediation agent — Catalog, Score, Estimate, Audit — sits above the 50+-class surface and writes a per-page canonical record. The operationally distinctive anchor: Google Rich Results Spam Policy (Q1 2024 fake-review policy with retroactive 24-month enforcement against AggregateRating nodes that cannot tie to verified individual Review nodes) and FTC Fake Review Rule 16 CFR Part 465 (effective October 2024 + $51,744 per-violation civil penalty for fake reviews, undisclosed material connections, review suppression, AI-generated reviews). Per-location AggregateRating with 4.8 stars and 247 reviews is a per-location compliance liability if those individual Review nodes cannot be produced on demand.

How does Catalog + Score work across 50+ rich-result classes?

Catalog maintains a per-portfolio per-banner per-location per-page snapshot of which rich-result classes the page is currently eligible for. Quarterly schema.org draft absorption tracks new types + new properties + deprecations + supersessions. Google policy update tracking watches the structured-data documentation for new constraints (FAQ deprecation 2023 + HowTo mobile-only 2023 + Speakable beta + future deprecations). Per-vertical schema-pack catalogs the LocalBusiness subtype required (Plumber + Electrician + Locksmith + RoofingContractor + GeneralContractor + MovingCompany + Notary need state-professional-licensing schema beyond base LocalBusiness; Physician + Dentist + Pharmacy + Hospital need MedicalBusiness with HIPAA-Safe-Harbor constraint; LegalService needs state bar advertising compliance; FinancialService needs FINRA 2210 + SEC Regulation S-K when public-company). Score evaluates 15 dimensions per page per class: required-field presence + recommended-field presence + field-value compliance (per-Google-documented constraint + per-schema.org property domain-range + per-schema.org type hierarchy) + JSON-LD syntax + schema.org type-matching no-fake-types + image URL accessibility + image dimensions + image aspect ratio + itemReviewed presence for Review + AggregateRating ratingValue/reviewCount/bestRating/worstRating + Offer price/priceCurrency/availability/url + LocalBusiness address-fields/telephone/openingHours/geo coordinates + Restaurant servesCuisine/priceRange/acceptsReservations/menu + render-mode (server-side prerender vs static generation vs client-side hydration vs rich-result detection impact) + mobile-friendly test + Cumulative Layout Shift impact + spam detection (fake review + rating gaming + keyword stuffing in JSON-LD + hidden pricing) + per-Google-policy guardrail.

What does Estimate + Audit do?

Estimate runs a per-portfolio per-banner per-location per-page revenue-impact estimation through a coordinated Bayesian + causal + counterfactual stack. Inputs: baseline organic traffic from Search Console Performance API (last 90 days + last 365 days + 2-year trailing) + CTR uplift by feature (Google published benchmark + internal benchmark from historical deploy + vertical benchmark from Searchmetrics/Sistrix/SEMrush + causal uplift CATE via T/S/X/DR learners on CausalML + DoubleML + EconML) + revenue-per-visit + conversion rate + seasonal adjustment. Outputs: per-page Bayesian revenue impact (PyMC + Stan + NumPyro + bambi + brms + 95-percent credible interval + posterior predictive check) + synthetic control + difference-in-differences + regression discontinuity at Google update cutoff + Monte Carlo distribution + sensitivity analysis + loss-if-drop per page per month + loss-if-drop per vertical per quarter. Routing: 5 tiers (eligible-to-publish-and-monitor + drop-detected-to-CMO-Slack-plus-revenue-impact-plus-remediation-queue + borderline-to-governance-decision-router-five-destination + policy-violation-to-block-and-flag-and-remediation + Google-policy-violation-to-block-and-flag). Audit writes a per-page WORM canonical record covering every dimension above + audit trail of which dimension drove each routing decision + FBC feedback loop (realized vs predicted rich-result presence + realized vs predicted CTR uplift + realized vs predicted revenue uplift + pattern learning + multi-arm-bandit regret + recalibration). Storage: AWS S3 Object Lock + Azure Blob immutable + Google Cloud Storage Bucket Lock + Wasabi WORM. Retention stacks (longest applicable): 7-year FTC substantiation + 7-year IRS + 7-year HIPAA + 7-year state bar + 6-year SEC + 3-year FINRA + GDPR Article 30 + EU AI Act Article 12 + SOC 2 CC7/CC8.

What does this skill connect to on the schema-audit-remediation agent and across the swarm?

On the schema-audit-remediation agent: continuous schema audit (sibling skill — recrawl on N-hour, N-day, on-deploy, on-schema.org-quarterly-absorption, on-Google-policy-update) + per-vertical schema validation (sibling skill — per-MedicalBusiness + per-Restaurant + per-LegalService + per-FinancialService per-AutoDealer + per-Plumber + per-Electrician + per-Locksmith + per-RoofingContractor + per-GeneralContractor + per-MovingCompany + per-ChildCare schema pack) + auto-compose schema (sibling skill — JSON-LD generation from master record) + per-vertical catalog schema validation (sibling skill) + JSON-LD generation (sibling skill + sibling build-pillar at /how-to-build-17-schema-class-jsonld-generation-from-master-record) + schema coverage scoring + schema conflict detection + quarterly schema.org absorption. Across the swarm: governance-decision-router five-destination routing for borderline cases + local-pack-rank-tracking per-market-competitor rank tracking (sibling agent — pairs as eligibility-to-ranking signal cluster) + multi-location-seo-architecture + franchise-local-seo-orchestration + url-hierarchy-authoring + canonical-tag-management + orphan-page-detection + title-rewrite-tracking + ai-overview-tracking + seo-alerts. Build-pillar siblings: tiered pre-filter deterministic gates for AI content compliance + marketing AI autonomy profile configuration + master record + per-jurisdiction compliance multi-state franchise + per-location per-cohort two-sigma anomaly detection + per-market competitor rank tracking. Commercial-pillar parent: /rich-result-eligibility-scoring.

What does the 6-workstream pre-engagement-baseline reporting cycle look like for this skill?

Every two weeks during the Tier 3 Fractional CMO with AI Swarm engagement, six workstreams report against the pre-engagement baseline. Workstream 1: rich-result-class catalog coverage — which classes the page taxonomy is eligible for + which are gated + which are blocked + delta from prior cycle. Workstream 2: eligibility-scoring distribution — per-page eligibility-confidence-tier distribution + dimensions driving block decisions + per-vertical eligibility patterns. Workstream 3: revenue-impact-estimation distribution — per-page Bayesian 95-percent credible interval distribution + per-vertical loss-if-drop estimation + per-page realized-vs-predicted reconciliation. Workstream 4: routing-tier flow distribution — per-tier volume + per-tier latency + per-tier sample of routed decisions. Workstream 5: regulatory-defense audit coverage — FTC Fake Review Rule + Google Rich Results Spam Policy + HIPAA Safe Harbor + FINRA 2210 + state bar advertising + FDD Item 12 + EU AI Act Article 50 + WCAG 2.2 AA. Workstream 6: FBC feedback-loop pattern-learning — multi-arm-bandit regret + recalibration applied + per-vertical pattern shifts + Google-update impact retrospective.

Build pillar · schema-audit-remediation agent

How to build per-location rich-result eligibility scoring + revenue-impact estimation

Schema App + Yoast SEO Premium + RankMath Pro + Schema Pro + Schema Ninja + Google Rich Results Test + Schema.org Validator + Sitebulb + Screaming Frog + OnCrawl ship per-account flat schema-validation primitives. The Catalog + Score + Estimate + Audit skill bundle on the schema-audit-remediation agent sits above 50+ rich-result classes and writes a per-page canonical record with named regulatory anchors covering Google Rich Results Spam Policy + FTC Fake Review Rule 16 CFR Part 465 + HIPAA Safe Harbor + FINRA 2210 + state bar advertising + FDD Item 12 + EU AI Act Article 50 + WCAG 2.2 AA.

Published August 14, 2026 · 3,200 words

The 4-skill bundle on the schema-audit-remediation agent

One agent. Four coordinated skills. The Catalog + Score + Estimate + Audit bundle runs above the schema-audit surface (Schema App + Yoast + RankMath + Google Rich Results Test + Sitebulb + Screaming Frog + OnCrawl + DeepCrawl + Botify + Conductor) and writes one canonical per-page record.

Catalog

Per-portfolio per-banner per-location per-page snapshot of eligible rich-result classes across the 50+ Google-documented taxonomy. Quarterly schema.org draft absorption tracks new types + properties + deprecations + supersessions. Google policy update tracking watches the structured-data documentation for new constraints (FAQ deprecation 2023 + HowTo mobile-only 2023 + Speakable beta + future deprecations). Per-vertical schema-pack catalogs the LocalBusiness subtype required.

Score

15-dimension scoring per page per class: required-field presence + recommended-field presence + field-value compliance + JSON-LD syntax + type-hierarchy alignment + property domain-range + image URL accessibility + Restaurant servesCuisine + LocalBusiness geo coordinates + mobile-friendly + CLS impact + spam detection + per-Google-policy guardrails + per-vertical schema-pack + render-mode.

Estimate

Bayesian + causal + counterfactual revenue-impact estimation. Inputs: baseline organic traffic from Search Console Performance API + CTR uplift by feature + RPV + conversion rate + seasonal adjustment. Outputs: per-page Bayesian revenue impact (PyMC + Stan + NumPyro + bambi + brms + 95-percent credible interval) + synthetic control + DiD + regression discontinuity at Google update cutoff + Monte Carlo distribution + sensitivity analysis + loss-if-drop per page per month.

Audit

Per-page WORM canonical record covering every dimension above + audit trail of which dimension drove each routing decision + FBC feedback loop (realized vs predicted rich-result presence + realized vs predicted CTR uplift + realized vs predicted revenue uplift + multi-arm-bandit regret + recalibration). Retention stacks: 7-year FTC + 7-year IRS + 7-year HIPAA + 6-year SEC + 3-year FINRA + GDPR Article 30 + EU AI Act Article 12 + SOC 2 CC7/CC8.

The real ecosystem this sits above

Catalog + Score + Estimate + Audit does not replace the audit tools. It sits above them, coordinates them, and writes one canonical per-page record with named regulatory anchors.

Schema-validation surface

Schema App + Yoast SEO Premium + RankMath Pro
Schema Pro + Schema Ninja + JSON-LD Playground
Google Rich Results Test + Schema.org Validator
Bing Markup Validator + Yandex + Naver Search Advisor
Search Console URL Inspection + Bing Webmaster

Crawl + audit surface

Sitebulb + Screaming Frog + OnCrawl
DeepCrawl Lumar + Botify + JetOctopus
ContentKing Conductor + Sistrix
Ahrefs Site Audit + SEMrush Site Audit + Moz Pro
PageSpeed Insights + Lighthouse + WebPageTest

Revenue-attribution + causal stack

Search Console Performance API + BigQuery export
GA4 BigQuery + Adobe CJA + Tableau + Looker + Sigma
PyMC + Stan + NumPyro + bambi + brms + RStan
CausalML + DoubleML + EconML + scikit-learn + statsmodels
GeoLift + CausalImpact + Synth + propensity-score + RDD

Compliance overlay

Five anchors run before any per-page eligibility-score commits or any rich-result publish decision routes. The first anchor is operationally distinctive to rich-result schema: Google Rich Results Spam Policy retroactive enforcement intersects FTC Fake Review Rule per-violation civil penalty exposure on AggregateRating nodes.

Anchor 1: Google Rich Results policy + FTC Fake Review Rule (operationally distinctive)

Google Search Essentials + Google Structured Data Policy + Google Rich Results Spam Policy (Q1 2024 fake-review policy with retroactive 24-month enforcement against AggregateRating that cannot tie to verified individual Review nodes + no rating gaming + no auto-generated content claiming human + no misrepresentation + no marked-up content not visible to users + no hidden pricing or availability). FTC Fake Review Rule 16 CFR Part 465 (effective October 2024 + $51,744 per-violation civil penalty + AggregateRating-must-tie-to-real-individual- Review-node + Review-must-tie-to-real-reviewer + no- incentivized-without-disclosure + no-suppression-of-negative + no-AI-generated-fake-reviews). FTC Endorsement Guides 16 CFR Part 255 material-connection disclosure. FTC Act Section 5 + Pfizer 1972 substantiation when Offer/Product schema asserts price/availability/features that cannot be backed up. FTC MARS Made-in-USA / origin claims in schema. Bing Markup Guidelines + Yandex schema policy.

Anchor 2: Per-vertical schema constraint (HIPAA + FINRA + state bar + state licensing)

HIPAA 45 CFR 164.514 Safe Harbor de-identification when MedicalBusiness/Physician/Dentist/Pharmacy/Hospital schema (no-PHI-in-JSON-LD + no-patient-name + no-condition + no- treatment + no-appointment-ID). FINRA Rule 2210 communications with the public when FinancialService schema. SEC Regulation S-K when public-company FinancialService schema. State bar advertising rules when LegalService schema (50-state matrix + ABA Model Rule 7.1-7.5). State professional licensing schema constraints (Plumber + Electrician + Locksmith + RoofingContractor + GeneralContractor + MovingCompany + Notary + Physician + Dentist + Pharmacy + per-state-board). FDA DSHEA when MedicalBusiness promotes supplement. FTC Health Products Compliance Guide when MedicalBusiness/Drug schema asserts therapeutic claims. Cannabis state-board (39 medical + 24 adult-use). Alcohol TABC + CalABC + per-state- SLA when Restaurant/FoodEstablishment schema includes alcohol.

Anchor 3: Franchise territorial + UDTPA + Lanham

FDD Item 12 territorial-protection per FTC Franchise Rule 16 CFR 436 when franchise LocalBusiness schema crosses ADI/protected-territory boundaries. 15-state franchise registration (CA + HI + IL + IN + MD + MI + MN + NY + ND + RI + SD + VA + WA + WI). 30-state Franchise Relationship Rule. State UDTPA enforcement. Lanham Act false-advertising. Robinson-Patman per-location-pricing-discrimination when Offer schema reveals territorial pricing variance. FDD Item 17 + Item 19 financial-performance representation substantiation when Offer schema price/availability claims.

Anchor 4: Accessibility + AI governance

WCAG 2.2 AA + ARIA + EAA EN 301 549 + Section 508 + ADA Title III when schema-driven rich-result rendering must remain accessible. EU AI Act Article 50 transparency + EU AI Act Article 13 + 14 + 15 + Annex III high-risk when AI-ML scoring drives publish/block routing. Digital Services Act Article 30 + Digital Markets Act. NIST AI Risk Management Framework. ISO 42001 AI Management System. ISO 27001. SOC 2 Type II.

Anchor 5: Privacy + crawl-budget honoring

GDPR Article 6 + 7 + 17 + 22 + LGPD + DPDP + PIPEDA + Quebec Law 25 + CCPA + CPRA + COPPA + 18-state comprehensive privacy + per-vendor LLM zero-retention verified per call. Sitebulb + Screaming Frog + OnCrawl crawl-budget honoring + per-source Data Processing Addendum + per-API rate-limit. Policy-as-code via OPA Rego + AWS Cedar + Casbin + Cerbos + Oso + Styra DAS + Permit.io. Storage: AWS S3 Object Lock + Azure Blob immutable + Google Cloud Storage Bucket Lock + Wasabi WORM.

6-workstream reporting cycle

Every two weeks during a Tier 3 Fractional CMO engagement, six workstreams report against the pre-engagement baseline. No forecast accuracy claims. Process commitments only.

1. Rich-result-class catalog coverage. Eligible vs gated vs blocked per page taxonomy + delta from prior cycle.
2. Eligibility-scoring distribution. Per-page eligibility-confidence-tier distribution + dimensions driving block decisions + per-vertical patterns.
3. Revenue-impact-estimation distribution. Per-page Bayesian 95-percent credible interval distribution + per-vertical loss-if-drop estimation + realized-vs-predicted reconciliation.
4. Routing-tier flow distribution. Per-tier volume + latency + sampled routed decisions.
5. Regulatory-defense audit coverage. FTC Fake Review Rule + Google Spam Policy + HIPAA Safe Harbor + FINRA 2210 + state bar + FDD Item 12 + EU AI Act Article 50 + WCAG 2.2 AA.
6. FBC feedback-loop pattern-learning. Multi-arm-bandit regret + recalibration applied + per-vertical pattern shifts + Google-update impact retrospective.

FAQ

What is rich-result eligibility scoring + revenue-impact estimation — and what is the fake-review-retroactive-enforcement problem when 50+ rich-result classes are in play?: A multi-location retail operator with 80 stores depends on 50+ Google-documented rich-result classes — LocalBusiness + 20+ LocalBusiness subtypes (Restaurant + MedicalBusiness + LegalService + FinancialService + AutoDealer + Plumber + Electrician + Locksmith + RoofingContractor + GeneralContractor + MovingCompany + ChildCare + Notary + Physician + Dentist + Pharmacy + Hospital + RealEstateAgent + ProfessionalService + HealthAndBeautyBusiness) + Product + Offer + AggregateRating + Review + Recipe + Event + FAQ (deprecated except medical/government 2023) + HowTo (mobile-only as of 2023) + Article + NewsArticle + BlogPosting + VideoObject + JobPosting + Course + Dataset + Podcast + SoftwareApplication + Book + Movie + TVSeries + Restaurant-Menu + Sitelinks-search-box + Carousel + QAPage + Speakable + Math-solver + Practice-problems + Vehicle + Estimated-salary + Education-QA + ImageObject-with-License + Subscription-paywall + Discussion-forum + Profile-page + Vacation-rental + Loyalty-program + Breadcrumb. The four-skill bundle on the schema-audit-remediation agent — Catalog, Score, Estimate, Audit — sits above the 50+-class surface and writes a per-page canonical record. The operationally distinctive anchor: Google Rich Results Spam Policy (Q1 2024 fake-review policy with retroactive 24-month enforcement against AggregateRating nodes that cannot tie to verified individual Review nodes) and FTC Fake Review Rule 16 CFR Part 465 (effective October 2024 + $51,744 per-violation civil penalty for fake reviews, undisclosed material connections, review suppression, AI-generated reviews). Per-location AggregateRating with 4.8 stars and 247 reviews is a per-location compliance liability if those individual Review nodes cannot be produced on demand.
Why do Schema App + Yoast SEO Premium + RankMath Pro + Google Rich Results Test + Sitebulb + Screaming Frog + OnCrawl break at multi-location 50+-class scale?: Each schema-audit vendor ships a per-account flat schema-validation primitive — an SEO plugs a URL into Google Rich Results Test, gets a green/yellow/red report on whether the page is eligible for one or two features, and re-pastes JSON-LD into a Yoast or RankMath panel. None catalogs the 50+ Google-documented rich-result classes against the per-location page taxonomy. None scores eligibility across 15 dimensions (required-field presence + recommended-field presence + field-value compliance + JSON-LD syntax + type-hierarchy alignment + property domain-range + image URL accessibility + Restaurant-servesCuisine + LocalBusiness geo-coordinates + mobile-friendly + CLS impact + spam detection + per-Google-policy guardrails + per-vertical schema-pack + render-mode). None estimates revenue impact through a coordinated Bayesian + causal + counterfactual stack (PyMC + Stan + NumPyro + bambi + brms + CausalML + DoubleML + EconML + synthetic control + difference-in-differences + regression discontinuity at Google update + Monte Carlo + sensitivity analysis). None enforces the per-vertical compliance overlay covering Google Rich Results Spam Policy + FTC Fake Review Rule + HIPAA Safe Harbor + FINRA 2210 + state bar advertising + FDD Item 12 + EU AI Act Article 50. None writes a per-page audit trail with regulatory-defense retention. The four-skill bundle Catalog + Score + Estimate + Audit sits above the audit-tool surface — it does not replace it.
How does Catalog + Score work across 50+ rich-result classes?: Catalog maintains a per-portfolio per-banner per-location per-page snapshot of which rich-result classes the page is currently eligible for. Quarterly schema.org draft absorption tracks new types + new properties + deprecations + supersessions. Google policy update tracking watches the structured-data documentation for new constraints (FAQ deprecation 2023 + HowTo mobile-only 2023 + Speakable beta + future deprecations). Per-vertical schema-pack catalogs the LocalBusiness subtype required (Plumber + Electrician + Locksmith + RoofingContractor + GeneralContractor + MovingCompany + Notary need state-professional-licensing schema beyond base LocalBusiness; Physician + Dentist + Pharmacy + Hospital need MedicalBusiness with HIPAA-Safe-Harbor constraint; LegalService needs state bar advertising compliance; FinancialService needs FINRA 2210 + SEC Regulation S-K when public-company). Score evaluates 15 dimensions per page per class: required-field presence + recommended-field presence + field-value compliance (per-Google-documented constraint + per-schema.org property domain-range + per-schema.org type hierarchy) + JSON-LD syntax + schema.org type-matching no-fake-types + image URL accessibility + image dimensions + image aspect ratio + itemReviewed presence for Review + AggregateRating ratingValue/reviewCount/bestRating/worstRating + Offer price/priceCurrency/availability/url + LocalBusiness address-fields/telephone/openingHours/geo coordinates + Restaurant servesCuisine/priceRange/acceptsReservations/menu + render-mode (server-side prerender vs static generation vs client-side hydration vs rich-result detection impact) + mobile-friendly test + Cumulative Layout Shift impact + spam detection (fake review + rating gaming + keyword stuffing in JSON-LD + hidden pricing) + per-Google-policy guardrail.
What does Estimate + Audit do?: Estimate runs a per-portfolio per-banner per-location per-page revenue-impact estimation through a coordinated Bayesian + causal + counterfactual stack. Inputs: baseline organic traffic from Search Console Performance API (last 90 days + last 365 days + 2-year trailing) + CTR uplift by feature (Google published benchmark + internal benchmark from historical deploy + vertical benchmark from Searchmetrics/Sistrix/SEMrush + causal uplift CATE via T/S/X/DR learners on CausalML + DoubleML + EconML) + revenue-per-visit + conversion rate + seasonal adjustment. Outputs: per-page Bayesian revenue impact (PyMC + Stan + NumPyro + bambi + brms + 95-percent credible interval + posterior predictive check) + synthetic control + difference-in-differences + regression discontinuity at Google update cutoff + Monte Carlo distribution + sensitivity analysis + loss-if-drop per page per month + loss-if-drop per vertical per quarter. Routing: 5 tiers (eligible-to-publish-and-monitor + drop-detected-to-CMO-Slack-plus-revenue-impact-plus-remediation-queue + borderline-to-governance-decision-router-five-destination + policy-violation-to-block-and-flag-and-remediation + Google-policy-violation-to-block-and-flag). Audit writes a per-page WORM canonical record covering every dimension above + audit trail of which dimension drove each routing decision + FBC feedback loop (realized vs predicted rich-result presence + realized vs predicted CTR uplift + realized vs predicted revenue uplift + pattern learning + multi-arm-bandit regret + recalibration). Storage: AWS S3 Object Lock + Azure Blob immutable + Google Cloud Storage Bucket Lock + Wasabi WORM. Retention stacks (longest applicable): 7-year FTC substantiation + 7-year IRS + 7-year HIPAA + 7-year state bar + 6-year SEC + 3-year FINRA + GDPR Article 30 + EU AI Act Article 12 + SOC 2 CC7/CC8.
What does this skill connect to on the schema-audit-remediation agent and across the swarm?: On the schema-audit-remediation agent: continuous schema audit (sibling skill — recrawl on N-hour, N-day, on-deploy, on-schema.org-quarterly-absorption, on-Google-policy-update) + per-vertical schema validation (sibling skill — per-MedicalBusiness + per-Restaurant + per-LegalService + per-FinancialService per-AutoDealer + per-Plumber + per-Electrician + per-Locksmith + per-RoofingContractor + per-GeneralContractor + per-MovingCompany + per-ChildCare schema pack) + auto-compose schema (sibling skill — JSON-LD generation from master record) + per-vertical catalog schema validation (sibling skill) + JSON-LD generation (sibling skill + sibling build-pillar at /how-to-build-17-schema-class-jsonld-generation-from-master-record) + schema coverage scoring + schema conflict detection + quarterly schema.org absorption. Across the swarm: governance-decision-router five-destination routing for borderline cases + local-pack-rank-tracking per-market-competitor rank tracking (sibling agent — pairs as eligibility-to-ranking signal cluster) + multi-location-seo-architecture + franchise-local-seo-orchestration + url-hierarchy-authoring + canonical-tag-management + orphan-page-detection + title-rewrite-tracking + ai-overview-tracking + seo-alerts. Build-pillar siblings: tiered pre-filter deterministic gates for AI content compliance + marketing AI autonomy profile configuration + master record + per-jurisdiction compliance multi-state franchise + per-location per-cohort two-sigma anomaly detection + per-market competitor rank tracking. Commercial-pillar parent: /rich-result-eligibility-scoring.
What does the 6-workstream pre-engagement-baseline reporting cycle look like for this skill?: Every two weeks during the Tier 3 Fractional CMO with AI Swarm engagement, six workstreams report against the pre-engagement baseline. Workstream 1: rich-result-class catalog coverage — which classes the page taxonomy is eligible for + which are gated + which are blocked + delta from prior cycle. Workstream 2: eligibility-scoring distribution — per-page eligibility-confidence-tier distribution + dimensions driving block decisions + per-vertical eligibility patterns. Workstream 3: revenue-impact-estimation distribution — per-page Bayesian 95-percent credible interval distribution + per-vertical loss-if-drop estimation + per-page realized-vs-predicted reconciliation. Workstream 4: routing-tier flow distribution — per-tier volume + per-tier latency + per-tier sample of routed decisions. Workstream 5: regulatory-defense audit coverage — FTC Fake Review Rule + Google Rich Results Spam Policy + HIPAA Safe Harbor + FINRA 2210 + state bar advertising + FDD Item 12 + EU AI Act Article 50 + WCAG 2.2 AA. Workstream 6: FBC feedback-loop pattern-learning — multi-arm-bandit regret + recalibration applied + per-vertical pattern shifts + Google-update impact retrospective.

Engage Completions

Two ways to engage. The Tier 1 AI Readiness Assessment maps the schema-audit substrate + rich-result-class taxonomy + per-vertical compliance surface against the Catalog + Score + Estimate + Audit bundle. The Tier 3 Fractional CMO with AI Swarm embeds 1-2 days per week for 6+ months and runs the bundle end-to-end against the schema-audit-remediation agent across the swarm.

Tier 1 AI Readiness Assessment — $10k, 2-3 weeks Tier 3 Fractional CMO with AI Swarm — $15-25k/mo Not sure which tier? Take the 3-question quiz