Done-for-you offer · Fractional CMO with AI Swarm · keyword-negative-keyword-library skill
Completions builds per-location negative keyword library management — 2-skill Parallel-Writes pair on local-sem (loops 21+60)
You operate 50-1,500 locations × 4-12 search engines × per -location per-engine SEM spend × per-engine wasted-spend exposure. Per-location negative keyword library management without governance produces wasted spend + irrelevant impression volume + competitor-cannibalization. Your CFO demands per-location per-engine wasted-spend-reduction proof. Your SEM team demands per-library per-term drift detection. Your counsel demands HIPAA + FDA + DEA + Metrc + DISCUS + state-licensing-board + FTC + Lanham + ADA + state -AG + COPPA compliance on every term. Completions builds the keyword-negative-keyword-library skill on the local-sem agent end-to-end with per-location per-engine negative -keyword library generation + per-library per-term drift detection + per-library per-term compliance gating + per -library per-term parallel-write across positive + negative surfaces. This is a 2-skill Parallel-Writes pair on local -sem alongside loop 21 keyword-research-and-positive-keyword. You keep every artifact. You keep the negative-keyword library + drift model + compliance overlay + parallel-write code. You keep the ability to in-house at any time.
Published September 24, 2026
What we operate every week
Per-location per-engine negative-keyword library generation across 50-1,500 locations × 4-12 search engines (Google Ads + Microsoft Ads + Bing Ads + Apple Search Ads + Yahoo Gemini + Yandex Direct + Naver Search Ads + Baidu Search Ads + DuckDuckGo Ads + Brave Search Ads + Ecosia Search Ads + Kagi Ads) × 8 negative-keyword types (broad-negative + phrase-negative + exact-negative + negative-keyword-list + campaign-level-negative + ad-group-level-negative + account-level-negative + MCC-level-negative) with per -location per-engine per-term semantic-extraction via 6 -model LLM-as-judge ensemble + search-term-report analysis + competitor-bid-conflict detection + wasted-spend computation + irrelevant-impression detection + per -vertical-jargon detection + per-trademark-conflict detection.
Per-library per-term drift detection across per-week + per -month + per-quarter cadence with 13 drift-classifications (term-emergence + term-deprecation + term-rank-surge + term-rank-collapse + term-CTR-shift + term-conversion -shift + term-search-volume-shift + term-CPC-shift + term -quality-score-shift + term-competitor-bid-shift + term -seasonality-shift + term-vertical-jargon-shift + term -trademark-conflict-shift) + per-drift severity + per -drift confidence-tier + per-drift explainability + per -drift cross-engine propagation + per-drift cross-location propagation.
Per-library per-term compliance gating via per-vertical compliance overlay covering 13+ regulatory frameworks (HIPAA + FDA + DEA + Metrc + DISCUS + FDA tobacco + state -licensing-board + FTC + Lanham + ADA + state-AG + state lemon law + COPPA) with per-term rule classification + severity tier + explainability + 6-route routing decision (auto-add-to-negative-list + queue-for-human-review + auto-block + escalate-to-counsel + escalate-to-brand -officer + reject).
Per-library per-term parallel-write across 2 surfaces (loop 21 writes per-location per-engine positive-keyword -list + loop 60 writes per-location per-engine negative -keyword-list to per-engine API) with per-write idempotent + deduplicated + cross-surface dependency-resolution (per -positive-term should never appear in per-negative-list + vice versa + per-cross-engine library-sync) + conflict -resolution + rollback-capability.
2-skill Parallel-Writes pair architecture coordinates loops 21+60 as parallel-writes pair on local-sem agent. Per-location per-engine audit-trail with WORM-storage.
Why in-house breaks at multi-location SEM scale
Per-location per-engine negative-keyword library generation across 50-1,500 locations × 4-12 engines × 8 types × 6 -model LLM-as-judge ensemble requires production data + ML infrastructure. Per-library per-term drift detection across 13 classifications requires production analytics infrastructure. Per-library per-term compliance gating across 13+ regulatory frameworks requires legal -engineering capacity. Per-library per-term parallel-write across 2 surfaces requires production parallel-write infrastructure. 2-skill Parallel-Writes pair architecture coordination requires orchestration capacity. Per-engine API maintenance requires vendor-coordination capacity. Per-location per-engine library volume (20k-180k entries) requires production library-management infrastructure.
Completions absorbs all seven axes under one Tier 3 Fractional CMO with AI Swarm engagement.
How the engagement progresses
Tier 1 AI Readiness Assessment ($10k, 2-3 weeks, diagnostic). Audits the current operation across seven axes. Deliverable: gap-pack report with per-location per-engine wasted-spend exposure estimate + per-location per-engine impression-relevance exposure estimate.
Tier 2 AI Swarm Setup Sprint ($25-50k, 4-8 weeks, build with 30-day operating tail). Builds the per -location negative keyword library management stack on operator infrastructure — keyword-negative-keyword-library + per-location-per-engine-negative-keyword-library -generation + per-library-per-term-drift-detection + per -library-per-term-compliance-gating + per-library-per-term -parallel-write on local-sem agent + keyword-research-and -positive-keyword — completing the 2-skill Parallel-Writes pair.
Tier 3 Fractional CMO with AI Swarm ($15-25k/ month, 6-month minimum, 1-2 days/wk embedded). Continues operating the pair with weekly per-location per-engine negative-keyword library generation + daily per-library per-term drift detection + monthly per-library per-term compliance gating refresh + per-event per-library per-term parallel-write across 2 surfaces + per-event 2-skill Parallel-Writes pair architecture coordination + cross -agent swarm coordination.
Frequently asked
What does "Completions builds per-location negative keyword library management — 2-skill Parallel-Writes pair on local-sem (loops 21+60)" actually deliver?
Completions builds and operates per-location per-engine negative-keyword library generation + per-library per-term drift detection + per-library per-term compliance gating + per-library per-term parallel-write across positive + negative keyword loops on the local-sem agent. Per-location per-engine negative-keyword library generation across 50-1,500 locations × 4-12 search engines (Google Ads + Microsoft Ads + Bing Ads + Apple Search Ads + Yahoo Gemini + Yandex Direct + Naver Search Ads + Baidu Search Ads + DuckDuckGo Ads + Brave Search Ads + Ecosia Search Ads + Kagi Ads) × per-engine negative-keyword type (per-location broad-negative + per-location phrase-negative + per-location exact-negative + per-location negative-keyword-list + per-location campaign-level-negative + per-location ad-group-level-negative + per-location account-level-negative + per-location MCC-level-negative) with per-location per-engine per-term semantic-extraction via LLM-as-judge ensemble (GPT-5 + Claude Opus 4.7 + Gemini Ultra + Llama-405B-Instruct + Mistral-Large + Cohere-Command-R-Plus) + per-location per-engine per-term search-term-report analysis + per-location per-engine per-term competitor-bid-conflict detection + per-location per-engine per-term wasted-spend computation + per-location per-engine per-term irrelevant-impression detection + per-location per-engine per-term per-vertical-jargon detection + per-location per-engine per-term per-trademark-conflict detection. Per-library per-term drift detection across per-week per-month per-quarter cadence with per-term drift-classification (term-emergence + term-deprecation + term-rank-surge + term-rank-collapse + term-CTR-shift + term-conversion-shift + term-search-volume-shift + term-CPC-shift + term-quality-score-shift + term-competitor-bid-shift + term-seasonality-shift + term-vertical-jargon-shift + term-trademark-conflict-shift) + per-drift severity classification + per-drift confidence-tier + per-drift explainability + per-drift cross-engine propagation + per-drift cross-location propagation. Per-library per-term compliance gating via per-vertical compliance overlay covering HIPAA per-term PHI handling + FDA OPDP per-term claim + DEA Schedule II-V per-term controlled-substance + Metrc per-term cannabis + DISCUS per-term alcohol + FDA tobacco per-term + state-licensing-board per-term + FTC Section 5 + Lanham Act trademark-conflict + per-vertical state-AG misrepresentation + ADA Title III per-term accessibility + state lemon law per-term + COPPA per-term child-targeting with per-term rule classification + severity tier + explainability + 6-route routing decision (auto-add-to-negative-list + queue-for-human-review + auto-block + escalate-to-counsel + escalate-to-brand-officer + reject). Per-library per-term parallel-write across 2 surfaces (loop 21 keyword-research-and-positive-keyword writes per-location per-engine positive-keyword-list + loop 60 keyword-negative-keyword-library writes per-location per-engine negative-keyword-list + per-engine API emission to Google Ads API + Microsoft Ads API + Bing Ads API + Apple Search Ads API + per-engine API) with per-write idempotent-write + per-write deduplicated-write + per-write cross-surface dependency-resolution (per-positive-term should never appear in per-negative-list + per-negative-term should never appear in per-positive-list + per-cross-engine library-sync) + per-write conflict-resolution + per-write rollback-capability. 2-skill Parallel-Writes pair architecture coordinates loop 21 (keyword-research-and-positive-keyword) + loop 60 (keyword-negative-keyword-library) as parallel-writes pair on local-sem agent — Parallel-Writes pattern: 2 skills emit parallel writes to the same per-location per-engine campaign-spec surface with per-write cross-surface coordination + per-write conflict-resolution + per-write rollback. Per-engine API emission across Google Ads API (campaign-budget-modify + ad-group-modify + keyword-add + negative-keyword-add + negative-keyword-list-modify + shared-set-modify) + Microsoft Ads API + Bing Ads API + Apple Search Ads API + per-engine API. Per-location per-engine audit-trail with WORM-storage. Operator team owns the per-location per-engine negative-keyword library + per-term drift model + per-term compliance overlay + per-term parallel-write code + audit trail. Completions owns the swarm orchestration on the local-sem agent.
Why does in-house per-location negative keyword library management break at multi-location SEM scale?
In-house operation at multi-location SEM scale fails on seven axes: (1) per-location per-engine negative-keyword library generation across 50-1,500 locations × 4-12 search engines × 8 negative-keyword types × 6-model LLM-as-judge ensemble × per-location per-engine per-term semantic-extraction + search-term-report + competitor-bid-conflict + wasted-spend + irrelevant-impression + per-vertical-jargon + per-trademark-conflict requires production data + ML infrastructure unstaffable by internal teams; (2) per-library per-term drift detection across 13 drift-classifications × per-week + per-month + per-quarter cadence × cross-engine + cross-location propagation requires production analytics infrastructure; (3) per-library per-term compliance gating across 13+ regulatory frameworks × per-rule classification + severity tier + explainability + 6-route routing decision requires legal-engineering capacity; (4) per-library per-term parallel-write across 2 surfaces × per-write idempotent + deduplicated + cross-surface dependency-resolution + conflict-resolution + rollback requires production parallel-write infrastructure; (5) 2-skill Parallel-Writes pair architecture coordination across loops 21+60 with Parallel-Writes pattern requires orchestration capacity; (6) per-engine API maintenance (Google Ads + Microsoft Ads + Bing Ads + Apple Search Ads + per-engine APIs change every 3-6 months) requires vendor-coordination capacity; (7) per-location per-engine negative-keyword library volume (50-1,500 locations × 4-12 engines × hundreds of negatives per engine = 20k-180k per-location per-engine negative-keyword entries) + per-library refresh cadence requires production library-management infrastructure with per-engine throughput-management. 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 negative keyword library management operation across seven axes — per-location per-engine negative-keyword library generation coverage + per-library per-term drift detection maturity + per-library per-term compliance gating + per-library per-term parallel-write across positive + negative surfaces + 2-skill Parallel-Writes pair architecture coordination + per-engine API maintenance + per-location per-engine library volume management. Deliverable: gap-pack report with per-location per-engine wasted-spend exposure estimate + per-location per-engine impression-relevance exposure estimate. Tier 2 AI Swarm Setup Sprint ($25-50k, 4-8 weeks, build with 30-day operating tail): Completions builds the per-location negative keyword library management stack on operator infrastructure — keyword-negative-keyword-library + per-location-per-engine-negative-keyword-library-generation + per-library-per-term-drift-detection + per-library-per-term-compliance-gating + per-library-per-term-parallel-write on local-sem agent + keyword-research-and-positive-keyword on local-sem — completing the 2-skill Parallel-Writes pair. Tier 3 Fractional CMO with AI Swarm ($15-25k/month, 6-month minimum, 1-2 days/wk embedded): Completions continues operating the pair with weekly per-location per-engine negative-keyword library generation + daily per-library per-term drift detection + monthly per-library per-term compliance gating refresh + per-event per-library per-term parallel-write across 2 surfaces + per-event 2-skill Parallel-Writes pair architecture coordination + cross-agent swarm coordination.
Who owns the negative-keyword library, drift model, compliance overlay, and audit trail?
Operator owns 100% of every artifact: per-location per-engine negative-keyword library (in operator data infrastructure — Snowflake + Databricks + BigQuery + Redshift + Postgres operator data warehouse), per-engine credentials (Google Ads + Microsoft Ads + Bing Ads + Apple Search Ads + Yahoo Gemini + Yandex Direct + Naver Search Ads + Baidu Search Ads + DuckDuckGo Ads + Brave Search Ads + Ecosia Search Ads + Kagi Ads under operator billing + operator credentials), per-location per-engine negative-keyword library generation model code (in operator repo with operator-controlled deploy pipeline + operator-data-science-team-aligned + operator-SEM-team-aligned), per-library per-term drift detection model code (operator-owned + operator-data-science-team-aligned), per-library per-term compliance gating config (operator-owned + operator-counsel-aligned), per-library per-term parallel-write code (operator-owned + operator-engineering-team-aligned), per-vertical compliance overlay (rule library in operator repo with attorney-approved updates), HIPAA + FDA OPDP + DEA + Metrc + DISCUS + FDA tobacco + state-licensing-board + FTC + Lanham + ADA + state-AG + state lemon law + COPPA disclosure register (operator-owned + operator-counsel-maintained), brand spec (versioned in operator repo), LLM prompts (in operator repo), audit trail (retention infrastructure on operator cloud account with WORM-storage). Completions owns: the orchestration knowledge — how to design per-location per-engine negative-keyword library generation contracts + how to tune per-library per-term drift detection + how to debug per-library per-term compliance gating cascades + how to coordinate the 2-skill Parallel-Writes pair architecture with keyword-research-and-positive-keyword sibling on local-sem agent. The operator can in-house at any time; Completions credentials revoke immediately on engagement-end.
What KPIs will Completions commit to on Tier 3 engagement?
Typical Tier 3 commitments: (1) per-location per-engine negative-keyword library generation coverage at 99-percent target across 4-12 search engines × 8 negative-keyword types; (2) per-library per-term drift detection accuracy at 95-percent target across 13 drift-classifications; (3) per-library per-term compliance gating coverage at 99.9-percent target across 13+ regulatory frameworks; (4) per-library per-term parallel-write success rate at 99.9-percent target with idempotent + deduplicated + cross-surface dependency-resolution + rollback-capability; (5) 2-skill Parallel-Writes pair architecture coordination latency under 2-second end-to-end; (6) per-location per-engine wasted-spend reduction at 25-60-percent target (operator-baseline-dependent); (7) per-engine API health-check cadence adherence at 100-percent target (quarterly); (8) per-location per-engine library refresh cadence adherence at 100-percent target (weekly); (9) per-library per-term audit-trail persistence at 100-percent target with WORM-storage verification; (10) per-location per-engine impression-relevance lift at 15-40-percent target (operator-baseline-dependent). Each KPI measured against pre-engagement baseline.
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 per-location negative keyword library management 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-engine negative-keyword library generation + per-library per-term drift detection + per-library per-term compliance gating + per-library per-term parallel-write across positive + negative surfaces + 2-skill Parallel-Writes pair architecture coordination + per-engine API maintenance + cross-agent coordination + per-location per-engine negative-keyword library infrastructure hand-off + per-engine credentials hand-off + per-location per-engine negative-keyword library generation model code hand-off + per-library per-term drift detection model code hand-off + per-library per-term compliance gating config hand-off + per-library per-term parallel-write code 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). Hand off to Tier 2 ($25-50k, 4-8 weeks) for the build. Continue under Tier 3 Fractional CMO with AI Swarm ($15-25k/month, 6-month minimum, 1-2 days/wk embedded). Operator owns every artifact at every tier. Operator can in-house at any time.