Done-for-you offer · Fractional CMO with AI Swarm · review classification
Done-for-you review classification for multi-location franchise, multi-unit service brand, multi-location retail, DTC, multi-channel retail, and PE-sponsored portfolio operators — a 3-skill Ingest + Classify + Route bundle on the review-agent across 12 review sources, 12 classification dimensions, and 7 handler types.
The descriptive industry pattern at 50-1,500 locations producing hundreds-to-thousands of customer reviews weekly across Google, Yelp, Facebook, Apple Maps, TripAdvisor, BBB, Trustpilot, G2, Capterra, Glassdoor, Indeed, and per-vertical platforms: response SLA slips on complaint-category reviews; fake reviews go undetected under the 2024 FTC fake-review rule; FTC Endorsement Guide violations propagate; state-AG enforcement-priority signals get missed; legal-concern reviews route to marketing rather than counsel; HR-concern reviews route to operations rather than HR. Birdeye, Podium, ReviewTrackers, Reputation.com, Yotpo, Trustpilot Business, Bazaarvoice, PowerReviews, Reviews.io, NiceJob, Grade.us, and Rio SEO Review Management ship excellent review- aggregation + response-template + sentiment-tagging primitives. The streaming classification + 7-handler routing layer that handles the full 12-dimension taxonomy with FTC fake-review rule + FTC Endorsement Guide + state-AG enforcement-priority + per- platform TOS overlay is operator-side architecture. Completions builds and operates the 3-skill bundle on the review-agent. Operator owns every artifact and can in-house at any time.
Published September 24, 2026
Frequently asked
What does the done-for-you review classification engagement deliver?
Completions builds and operates a 3-skill bundle on the review-agent: Ingest, Classify, Route. Skill 1 (Ingest) pulls reviews from 12 sources per location: Google, Yelp, Facebook, Apple Maps, TripAdvisor, BBB, Trustpilot, G2, Capterra, Glassdoor, Indeed, and per-vertical platforms. Skill 2 (Classify) classifies each review across 12 dimensions: sentiment, intent, severity, complaint-category, praise-category, staff-mention, product-mention, service-mention, language, fake-review-probability, regulatory-concern, legal-concern. Skill 3 (Route) routes each classified review to one of 7 handlers: respond-immediately, escalate-to-manager, flag-fraud, flag-legal, operations-improvement, marketing, HR; with per-handler SLA and per-handler context attached. The per-vertical compliance overlay covers CCPA + GDPR + FTC Endorsement Guide + FTC Fake Review Rule 2024 + state-AG policy + per-platform TOS. Operator owns every artifact: 3 registries in operator data infrastructure; 3-skill model code aligned with operator CX-engineering team; per-source credentials (12 review platforms) under operator billing; per-vertical compliance overlay rule library in operator repo with attorney-approved updates; classification taxonomy; LLM prompts; audit trail. Completions owns the swarm-orchestration knowledge.
Why is review classification typically operator-side rather than vendor-shipped?
The review-aggregation vendors (Birdeye, Podium, ReviewTrackers, Reputation.com, Yotpo, Trustpilot Business, Bazaarvoice, PowerReviews, Reviews.io, NiceJob, Grade.us, Rio SEO Review Management) ship excellent aggregation, response templates, and built-in sentiment tagging. They do not ship the streaming 12-dimension classification + 7-handler routing layer with the FTC fake-review rule + FTC Endorsement Guide + state-AG enforcement-priority + per-platform TOS overlay because the classification taxonomy reflects operator-specific complaint categories, praise categories, and staff/product/service mention vocabularies; the handler topology routes into operator-owned counsel + HR + marketing + operations workflows; the per-vertical compliance overlay tracks the regulatory frameworks operator legal team has approved; the audit trail integrates with operator data infrastructure. The work that remains operator-side spans three engineering surfaces: API-engineering ingest across 12 review platforms with rate-limit + auth + delta-detection handling; NLP-engineering classification across 12 dimensions with per-language + per-vertical model tuning; routing-engineering across 7 handler types with per-handler SLA + escalation chain + handler-context-enrichment. Completions absorbs all three surfaces under one Tier 3 Fractional CMO with AI Swarm engagement and hands the artifacts back at engagement end.
What does the engagement look like across Tier 1 to Tier 2 to Tier 3?
Tier 1 AI Readiness Assessment (2-3 weeks, diagnostic): audits three axes. Tier 2 AI Swarm Setup Sprint (4-8 weeks): builds 3-skill bundle on review-agent — completing the 20th 3-skill bundle + KD-ceiling 6th borderline-hard-ceiling case + 3-axis review-monitoring canonical pattern 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.
Who owns the registries?
Operator owns 100% of every artifact: 3 registries (in operator data infrastructure), 3-skill bundle model code (operator-owned + operator-CX-engineering-team-aligned), per-source credentials (Google + Yelp + Facebook + Apple-Maps + TripAdvisor + BBB + Trustpilot + G2 + Capterra + Glassdoor + Indeed + industry-specific under operator billing + operator credentials), per-vertical compliance overlay (rule library in operator repo with attorney-approved updates), classification taxonomy, LLM prompts, audit trail. Completions owns the orchestration knowledge.
What measurement and reporting does Completions commit to on Tier 3?
Measured against the operator pre-engagement baseline across five workstreams, reported weekly. (1) Review-ingestion coverage trajectory — share of locations with active ingest across the 12 review sources; per-source ingest latency reported against the pre-engagement aggregator-side delay (typically hours-to-days on free tiers, minutes on enterprise tiers). (2) Classification quality — per-dimension precision + recall + confidence distribution across the 12 dimensions against an operator-labeled validation set; per-vertical and per-language calibration trace; reported against the pre-engagement classification baseline (often the aggregator-side sentiment tag) rather than at a promised precision target because precision depends on the labeled-validation regime operator runs + per-vertical taxonomy operator approves. (3) Routing distribution — share of reviews routed to each of the 7 handlers; per-handler SLA-adherence trajectory; per-handler escalation backlog. (4) Compliance-overlay adherence — FTC fake-review rule + FTC Endorsement Guide + state-AG policy + per-platform TOS rule-evaluation completeness; flagged-for-counsel volume against the pre-engagement baseline. (5) Downstream-cascade preemption — fake-review take-down requests filed; legal-concern reviews caught before public response; HR-concern reviews routed to HR rather than operations; reported as a trace rather than promised as a take-down or recovery percentage because take-down outcomes depend on per-platform review-removal policy operator does not control. Process commitments are firm: weekly per-source ingest health check; weekly per-vertical classification taxonomy refresh; weekly per-handler routing rule sync; weekly per-vertical compliance overlay update; weekly audit-trail emission. Outcome targets are not promised because classification quality + take-down outcomes depend on the labeled-validation regime + per-platform policy enforcement operator and platform jointly control.
How does engagement end and what is the operator transition path?
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 + 3 registries hand-off + 3-skill bundle model code hand-off + per-source credentials hand-off + per-vertical compliance overlay rule library hand-off + classification taxonomy hand-off + LLM prompts hand-off + audit trail hand-off; Completions credentials revoke immediately.
Engage Completions
Start with the AI Readiness Assessment (Tier 1, 2-3 weeks). Hand off to Tier 2 (4-8 weeks). Continue under Tier 3 Fractional CMO with AI Swarm (6-month minimum, 1-2 days/wk embedded).
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