Done-for-you offer · Fractional CMO with AI Swarm · cs-agent-assist skill
Completions architects multi-location review-response agent -assist for your reputation operation
You manage 50-1,500 locations with reviews flowing in from Google + Yelp + Healthgrades + Zocdoc + OpenTable + per -vertical platforms and a review-response operation that takes 4-14 days per reply. Negative reviews stack up. HIPAA -PHI-disclosure-risk reviews get responded to with the wrong disclosure language. Cannabis-state-violation-risk reviews get auto-published without legal review. Your editorial team cannot keep up at portfolio scale. Completions architects the cs-agent-assist skill on the review-response agent end -to-end with per-location per-review ingestion + sentiment + concern classification + brand-voice gated reply drafting + per-vertical compliance overlay + auto-publish gating + crisis routing + per-location per-platform sender reputation management. You keep every artifact. You keep the review platform credentials. You keep the ability to in-house at any time.
Published September 24, 2026
What we operate every review
Per-location per-review ingestion across 17+ review platforms (Google + Yelp + Healthgrades + Zocdoc + OpenTable + Vitals + RateMDs + Avvo + LegalMatch + TripAdvisor + Booking.com + Vrbo + Houzz + Angi + HomeAdvisor + Thumbtack + per-vertical industry platforms) with per-platform webhook + per-platform polling fallback + per-review-platform unified schema normalization. Per -review sentiment classification across positive + negative + mixed + neutral with confidence-tier + intensity-scoring + crisis-indicator detection via 10 -model LLM-classifier ensemble.
Per-review concern classification across 20+ concern categories (service-quality + wait-time + staff -friendliness + cleanliness + pricing + value + product -quality + appointment-availability + parking + accessibility + per-vertical-specific HIPAA-PHI-disclosure -risk + medical-board-mandatory-reporter-trigger + DEA -reporting-trigger + state-cannabis-board-violation-risk + ATF-trigger + FinCEN-SAR-trigger).
Brand-voice gated reply drafting via 10-model LLM ensemble (GPT-4o + Claude Opus + Sonnet + Haiku + Gemini Pro 2 + Mistral Large 2 + Cohere Command R+ + Llama 3 70B + Qwen 2 + DeepSeek V3) with brand-spec-version-pin + tone + formality + empathy + per-platform format knobs. Per -vertical compliance overlay (HIPAA + FDA + DEA + state -licensing-board + state-cannabis-Metrc + alcohol DISCUS + tobacco FDA + ATF + financial SEC/FINRA + state-AG UDAP + FTC Endorsement Guides + FTC fake-review rule 2024 16 CFR Part 465).
Auto-publish gating with per-confidence-tier per-platform per-vertical thresholds + editorial routing for borderline cases + crisis routing for high-risk cases. Per-location per-platform sender reputation management.
Why in-house breaks at portfolio scale
Per-location per-review ingestion across 50-1,500 locations × 17+ review platforms requires production data ingestion infrastructure. Per-review sentiment + concern classification across 20+ categories via 10-model LLM -classifier ensemble at production review volume requires LLM operations infrastructure. Brand-voice gated reply drafting requires production LLM operations infrastructure. Per-vertical compliance overlay requires deterministic gate. Auto-publish gating requires production routing infrastructure. Crisis routing requires event-driven architecture. Per-location per-platform sender reputation management requires production reputation-tracking infrastructure.
Completions absorbs all seven axes under one Tier 3 Fractional CMO with AI Swarm engagement. The embedded executive (1-2 days/wk) coordinates the review-response across the review-response agent + brand-spec-authoring + compliance-overlay-manager + master-record-canonicalization siblings.
How the engagement progresses
Tier 1 AI Readiness Assessment ($10k, 2-3 weeks, diagnostic). Completions audits the operator current multi-location review-response operation across seven axes — per-location per-review ingestion coverage + per-review sentiment + concern classification + brand -voice gated reply drafting + per-vertical compliance overlay gap + auto-publish gating + crisis routing + per -location per-platform sender reputation management. Deliverable: gap-pack report.
Tier 2 AI Swarm Setup Sprint ($25-50k, 4-8 weeks, build with 30-day operating tail). Completions builds the review-response agent-assist on operator review-response infrastructure — cs-agent-assist + per -review-sentiment-classification + per-review-concern -classification + brand-voice-gated-reply-drafting + auto -publish-gating + crisis-routing on review-response agent + brand-voice-gate on brand-spec-authoring + per -jurisdiction-overlay-config on compliance-overlay -manager + change-event-emission on master-record -canonicalization.
Tier 3 Fractional CMO with AI Swarm ($15-25k/ month, 6-month minimum, 1-2 days/wk embedded). Completions continues operating the review-response with weekly per -location review-response review + monthly per-vertical compliance overlay refresh + quarterly brand-voice spec refresh + per-event crisis routing coordination + cross -agent swarm coordination.
Frequently asked
What does "Completions architects the review-response agent-assist for your multi-location reputation operation" actually deliver?
Completions architects the multi-location review-response agent-assist across the operator review platforms (Google + Yelp + Healthgrades + Zocdoc + OpenTable + Vitals + RateMDs + Avvo + LegalMatch + TripAdvisor + Booking.com + Vrbo + Houzz + Angi + HomeAdvisor + Thumbtack + per-vertical industry platforms). Per-location per-review ingestion with per-platform webhook + per-platform polling fallback + per-review-platform unified schema normalization. Per-review sentiment classification across positive + negative + mixed + neutral with confidence-tier + intensity-scoring + crisis-indicator detection via 10-model LLM-classifier ensemble (GPT-4o + Claude Opus + Sonnet + Haiku + Gemini Pro 2 + Mistral Large 2 + Cohere Command R+ + Llama 3 70B + Qwen 2 + DeepSeek V3). Per-review concern classification across 20+ concern categories (service-quality + wait-time + staff-friendliness + cleanliness + pricing + value + product-quality + appointment-availability + parking + accessibility + per-vertical-specific HIPAA-PHI-disclosure-risk + per-vertical-specific medical-board-mandatory-reporter-trigger + per-vertical-specific DEA-reporting-trigger + per-vertical-specific state-cannabis-board-violation-risk + per-vertical-specific ATF-trigger + per-vertical-specific FinCEN-SAR-trigger). Brand-voice gated reply drafting via 10-model LLM ensemble with brand-spec-version-pin + tone + formality + empathy + per-platform format knobs. Per-vertical compliance overlay (HIPAA + FDA + DEA + state-licensing-board + state-cannabis-Metrc + alcohol DISCUS + tobacco FDA + ATF + financial SEC/FINRA + state-AG UDAP + FTC Endorsement Guides + FTC fake-review rule 2024 16 CFR Part 465). Auto-publish gating with per-confidence-tier per-platform per-vertical thresholds + editorial routing for borderline cases + crisis routing for high-risk cases. Per-location per-platform sender reputation management. Operator team owns the review platform credentials + brand spec + compliance overlay. Completions owns the swarm orchestration on the review-response agent.
Why does in-house multi-location review-response break at portfolio scale?
In-house operation at multi-location portfolio scale fails on seven axes: (1) per-location per-review ingestion across 50-1,500 locations × per-platform webhook + polling fallback × 10+ review platforms requires production data ingestion infrastructure unstaffable by internal teams; (2) per-review sentiment + concern classification across 20+ concern categories via 10-model LLM-classifier ensemble at production review volume requires LLM operations infrastructure with rate-limit + cost-budget management; (3) brand-voice gated reply drafting via 10-model LLM ensemble at per-review per-platform per-vertical adaptation requires production LLM operations infrastructure; (4) per-vertical compliance overlay across HIPAA + FDA + DEA + state-licensing-board + state-cannabis-Metrc + alcohol DISCUS + tobacco FDA + ATF + financial + FTC Endorsement Guides + FTC fake-review rule 2024 requires per-jurisdiction-overlay-config deterministic gate; (5) auto-publish gating with per-confidence-tier per-platform per-vertical thresholds requires production routing infrastructure + editorial-team coordination; (6) crisis routing for high-risk cases requires event-driven architecture; (7) per-location per-platform sender reputation management requires production reputation-tracking infrastructure. Completions absorbs all seven axes under one Tier 3 Fractional CMO with AI Swarm engagement.
What does the engagement look like across Tier 1 → Tier 2 → Tier 3?
Tier 1 AI Readiness Assessment ($10k, 2-3 weeks, diagnostic): Completions audits the operator current multi-location review-response operation across seven axes — per-location per-review ingestion coverage + per-review sentiment + concern classification + brand-voice gated reply drafting + per-vertical compliance overlay gap + auto-publish gating + crisis routing + per-location per-platform sender reputation management. Deliverable: gap-pack report. Tier 2 AI Swarm Setup Sprint ($25-50k, 4-8 weeks, build with 30-day operating tail): Completions builds the review-response agent-assist on operator review-response infrastructure — cs-agent-assist + per-review-sentiment-classification + per-review-concern-classification + brand-voice-gated-reply-drafting + auto-publish-gating + crisis-routing on review-response agent + brand-voice-gate on brand-spec-authoring + per-jurisdiction-overlay-config on compliance-overlay-manager + change-event-emission on master-record-canonicalization. Tier 3 Fractional CMO with AI Swarm ($15-25k/month, 6-month minimum, 1-2 days/wk embedded): Completions continues operating the review-response with weekly per-location review-response review + monthly per-vertical compliance overlay refresh + quarterly brand-voice spec refresh + per-event crisis routing coordination + cross-agent swarm coordination.
Who owns the review platform credentials, sentiment + concern taxonomy, and audit trail?
Operator owns 100% of every artifact: review platform credentials (Google Business Profile + Yelp for Business + Healthgrades + Zocdoc + OpenTable + Vitals + RateMDs + Avvo + LegalMatch + TripAdvisor + Booking.com + Vrbo + Houzz + Angi + HomeAdvisor + Thumbtack + per-vertical industry platforms under operator credentials), per-review sentiment + concern taxonomy (operator-owned + attorney-approved), per-vertical compliance overlay (rule library in operator repo with attorney-approved updates), per-platform per-vertical per-confidence-tier auto-publish threshold registry (operator-owned), crisis routing rules (operator-owned + attorney-approved per-statute reporting destinations), per-location per-platform sender reputation tracking infrastructure (operator-owned), review-response orchestration code (in operator repo with operator-controlled deploy pipeline), LLM prompts (in operator repo with brand-spec-pinned knobs + compliance-overlay-pinned knobs), brand spec (versioned in operator repo), editorial-team routing rules (operator-owned), audit trail (retention infrastructure on operator cloud account with WORM-storage when HIPAA + FDA + DEA + FinCEN + SEC + FINRA + ATF + FTC retention required). Completions owns: the orchestration knowledge — how to design per-review sentiment + concern classification + how to tune brand-voice gated reply drafting + how to debug per-vertical compliance overlay cascades + how to coordinate the review-response with brand-spec-authoring + compliance-overlay-manager + master-record-canonicalization siblings. The operator can in-house at any time; Completions credentials revoke immediately on engagement-end.
What does Completions commit to on a Tier 3 engagement?
Completions commits to a multi-workstream pre-engagement-baseline reporting cycle on the review-response agent: (1) Ingestion workstream — pre-engagement baseline of which review platforms are wired today and at what webhook + polling discipline, then weekly reporting on ingestion coverage across the 20+ platforms and per-platform delivery reliability. (2) Classification workstream — pre-engagement baseline of which sentiment + concern categories are surfaced today and at what cadence, then weekly reporting on classification distribution and observed precision against operator-labeled validation samples. (3) Brand-Voice Reply Drafting workstream — pre-engagement baseline of brand-spec-version coverage today and per-platform format adherence, then weekly reporting on draft volume, brand-voice-fit outcomes against operator brand-voice spec, and per-platform format validation outcomes. (4) Compliance-Overlay workstream — pre-engagement baseline of which regulatory frameworks are wired today (HIPAA + FDA OPDP + DEA + state-licensing-board + state-cannabis Metrc + alcohol DISCUS + FDA tobacco + ATF + SEC + FINRA + state-AG UDAP + FTC Endorsement Guides + FTC fake-review rule 2024), then weekly reporting on per-rule classification outcomes and severity-tier distribution. (5) Auto-Publish-Gating workstream — pre-engagement baseline of per-confidence-tier per-platform per-vertical threshold discipline today, then weekly reporting on gating-decision distribution and editorial-queue volume. (6) Crisis-Routing workstream — pre-engagement baseline of P0-P3 crisis-routing discipline today, then weekly reporting on crisis-routing volume, severity distribution, and escalation-handler acknowledgments. (7) Sender-Reputation workstream — pre-engagement baseline of per-location per-platform sender reputation today, then weekly reporting on sender-reputation trajectory and per-platform policy adherence. Caveats: review-response cycle time and sentiment outcomes depend on operator-side editorial team capacity, store/location manager response cadence, and customer-service workflow outside Completions control; classification precision depends on operator-labeled validation samples and the operator-specific concern taxonomy; sender-reputation outcomes depend on review-platform policy decisions (Google Business Profile, Yelp for Business, Healthgrades, etc.) outside Completions and operator control; FTC fake-review rule 2024 (16 CFR Part 465) compliance and other 13+ frameworks must be operator-counsel-approved and re-reviewed when statutes or platform policies change; the audit trail persists to operator-owned WORM storage on the operator cloud account when HIPAA, FDA, DEA, FinCEN, SEC, FINRA, ATF, or FTC retention requires it.
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 the multi-location review-response operation back to operator in-house in 30-60 days: operating-playbook hand-off + in-house staff training across 3-5 operator team members covering per-location per-review ingestion + per-review sentiment + concern classification + brand-voice gated reply drafting + per-vertical compliance overlay management + auto-publish gating + crisis routing + per-location per-platform sender reputation management + cross-agent coordination + review platform credentials hand-off + LLM prompts hand-off + audit trail hand-off with WORM-storage operator-account-ownership confirmation; Completions credentials revoke immediately on engagement-end. Operator can re-engage Completions at any time on Tier 1 or Tier 2 cadence.
Engage Completions
Start with the AI Readiness Assessment (Tier 1, 2-3 weeks, $10k). If your operation is ready to absorb the review -response agent-assist, the assessment hands off to the AI Swarm Setup Sprint (Tier 2, 4-8 weeks, $25-50k). If your operation needs ongoing orchestration after Tier 2 hand-off, the review-response agent-assist continues under Fractional CMO with AI Swarm (Tier 3, 6-month minimum, $15-25k/month, 1-2 days/wk embedded). Operator owns every artifact at every tier. Operator can in-house at any time.
Or take the 3-question shape diagnostic first — no email required.