Why do Google Trends + Glimpse + SimilarWeb + Semrush + Ahrefs + Brandwatch + Talkwalker + Marketmuse + Surfer SEO + ContentKing break at multi-location-DMA-MSA-ZIP-sub-ZIP-multi-vertical scale?

Each search-trends + SEO + content-optimization vendor ships per-account flat trend primitive at single-DMA single-query level. None coordinates per-location per-query trend ingestion across DMA + MSA + ZIP + sub-ZIP + Block Group + Tract + geo-fence geo-resolution + per-location seasonality decomposition (STL + X-13ARIMA-SEATS + TBATS + Prophet) + per-location query-velocity normalization (Google-Trends 5-year baseline) + per-location SERP-feature volatility tracking (PAA + Featured Snippet + Local Pack + Knowledge Panel + AI Overview) + per-vertical trend-class + per-location LLM hallucination-detection simultaneously. None handles per-vendor DPA + per-API rate-limit + per-source ToS scraping doctrine (hiQ Labs + Van Buren + Meta v Bright Data). None gates against replication-crisis statistical discipline + FDD Item 19 financial performance representations when trend shared with franchisees + FINRA + SOX + FASB ASC 280. None writes a per-location per-period WORM trend-ingestion audit trail. The four-skill bundle Ingest + Decompose + Cluster + Audit sits above the search-trends + geo-routing + geo-boundary + Bayesian + warehouse substrate — it does not replace it.

What does Cluster + Audit do?

Cluster runs per-location per-query query-velocity classification: per-query absolute volume + relative volume + growth-rate + acceleration + decay-rate + peakedness + novelty + persistence. Per-location per-query SERP-feature volatility: per-SERP People Also Ask + Featured Snippet + Local Pack + Knowledge Panel + Image Pack + Video Pack + News + Shopping + AI Overview volatility. Per-vertical hyper-local trend-class (Direct-Service-Query + Comparison + Brand + Long-Tail + Emergency + Aspirational + Health + Financial + Legal + Real-Estate). Per-location LLM hallucination-detection (per-query LLM-generated trend signal + per-query Schema.org Validator cross-check + per-query Google Search Quality Rater Guidelines compatibility). Per-trend severity classification: P0 LLM-hallucinated trend signal (immediate block) + P1 replication-crisis robustness fail (E-value < 1.5 + Rosenbaum Γ < 1.5) 72-hour + P2 SERP-feature volatility spike 7-day + P3 query-velocity drift 30-day + P4 docs-only. Gate runs 5 anchors per-location per-query before any trend distributes to content-engine routing. (1) Per-location geo-resolution + seasonality decomposition + query-velocity + SERP-feature volatility + per-vertical trend-class + LLM hallucination-detection + replication-crisis discipline + scraping doctrine. (2) FTC Section 5 + Pfizer 1972 + CFPB UDAAP + Lanham + USPTO + Robinson-Patman + FTC Endorsement Guides + FTC Fake Review Rule + FDD Item 19 financial performance representations when trend shared with franchisees + 15-state franchise + Sherman + Clayton. (3) HIPAA when health/wellness trend + FINRA Rule 2210 when financial-services trend + SEC Regulation FD + FDA OPDP + DEA + alcohol + + per-state professional licensing. (4) EU AI Act Article 50 transparency when AI-ML trend routing + Article 13/14/15 + Annex III when AI-ML trend routing drives content-engine routing + Article 6/27 FRIA + DSA + DMA + GDPR Article 6/7/22/28/30 + LGPD + DPDP + PIPEDA + Quebec Law 25 + CCPA + CPRA + 18-state. (5) WCAG 2.2 AA + ARIA + EAA + ADA Title III + Section 508 + SOX 302/404/906 + COSO + Exchange Act 13(b)(2) + FASB ASC 280 + SEC Reg S-K. Audit writes a per-location per-period WORM trend-ingestion record: per-location per-query snapshot + per-source vendor ingestion + per-location seasonality decomposition + per-query velocity + per-location SERP-feature volatility + per-vertical trend-class + LLM hallucination-detection result + per-anchor gate-pass + AI-ML provenance + EU AI Act FRIA. Retention: 7-year FTC + 7-year IRS + 7-year HIPAA + 7-year state bar + 6-year SEC + 3-year FINRA + 7-year SOX + GDPR Article 30 + EU AI Act Article 12 + SOC 2 CC7/CC8.

What does this skill connect to on the hyper-local-search-trends agent and across the swarm?

On the hyper-local-search-trends agent: per-location per-query trend ingestion + seasonality decomposition + query-velocity + SERP-feature volatility + per-vertical trend-class. Across the swarm: per-location AI-calibrated forecasting (#600 DOWNSTREAM consumer of per-location trend) + root-cause attribution sketch (#604 DOWNSTREAM consumer of per-location trend) + continuous per-market scoring (#609 same per-DMA/MSA + per-state seasonality substrate) + per-location metric ingestion (#616 same per-vendor DPA + per-API rate-limit substrate) + integration-drift-monitor agent (#562 + #569 + #570) + per-state-overlay-composer (#599 UPSTREAM canonical for FDD Item 19 + per-state attorney advertising + FINRA per-state). Commercial-pillar parent: /multi-location-content-engine.

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: per-portfolio per-location per-query per-period trend-ingestion coverage — locations covered + DMAs/MSAs/ZIPs ingested + queries decomposed. Workstream 2: Ingest per-source per-location per-day trend-ingestion flow — per-vendor DPA + per-API rate-limit + per-source ToS scraping doctrine compliance + per-Google-Trends 5-year baseline normalization. Workstream 3: Decompose per-location per-query seasonality decomposition flow — STL + X-13ARIMA-SEATS + TBATS + Prophet + per-location holiday/event/weather/school/fiscal calendar. Workstream 4: Cluster per-location per-query query-velocity + SERP-feature volatility + per-vertical trend-class + LLM hallucination-detection flow. Workstream 5: Regulatory-defense audit coverage — per-DMA/MSA/ZIP geo + seasonality + query-velocity + SERP-feature volatility + per-vertical trend-class + LLM hallucination-detection + replication-crisis + scraping doctrine + EU AI Act Article 50 + FDD Item 19 + FINRA + SOX + FASB ASC 280. Workstream 6: FBC feedback-loop pattern-learning — per-location per-query realized-vs-predicted trend + per-vendor schema-drift retrospective + per-replication-crisis robustness retrospective.

Build pillar · hyper-local-search-trends agent

How to build hyper-local search trends ingestion for multi-location content engines

Q: How does Ingest + Decompose work?

Ingest runs per-source per-location per-day search-trends ingestion: Google Trends API via pytrends + per-Glimpse + per-Exploding Topics + per-SparkToro + per-Brandwatch + per-Talkwalker + per-Meltwater + per-Sprinklr + Google Search Console Performance API + Bing Webmaster Tools + Yandex Webmaster + Naver Search Advisor + SimilarWeb + Semrush + Ahrefs + Moz + Sistrix + SpyFu + iSpionage + KeywordSpy + Keyword Insights + AnswerThePublic + AlsoAsked + Ubersuggest + Marketmuse + Frase + Surfer SEO + Clearscope + ContentKing + Conductor + BrightEdge + Pi Datametrics. Per-vendor DPA + per-API rate-limit + per-source ToS scraping doctrine compliance (hiQ Labs v LinkedIn + Van Buren v United States + Meta v Bright Data). Per-location geo-resolution: per-Nielsen DMA 210-market + per-Census MSA 935-market + per-ZIP 41,000 + per-sub-ZIP + per-Block Group 220,000 + per-Tract 73,000 + per-geo-fence radius/isochrone via Esri ArcGIS + MapBox + Foursquare + SafeGraph + Placer.ai. Per-query Google-Trends 5-year baseline normalization. Decompose runs per-location per-query seasonality decomposition: STL decomposition + X-13ARIMA-SEATS + TBATS + Prophet additive + multiplicative seasonality. Per-location holiday-effect + event-effect + weather-effect + school-calendar + fiscal-calendar. Per-location per-query trend + seasonal + residual decomposition.

Q: What does this skill connect to on the hyper-local-search-trends agent and across the swarm?

On the hyper-local-search-trends agent: per-location per-query trend ingestion + seasonality decomposition + query-velocity + SERP-feature volatility + per-vertical trend-class. Across the swarm: per-location AI-calibrated forecasting (#600 DOWNSTREAM consumer of per-location trend) + root-cause attribution sketch (#604 DOWNSTREAM consumer of per-location trend) + continuous per-market scoring (#609 same per-DMA/MSA + per-state seasonality substrate) + per-location metric ingestion (#616 same per-vendor DPA + per-API rate-limit substrate) + integration-drift-monitor agent (#562 + #569 + #570) + per-state-overlay-composer (#599 UPSTREAM canonical for FDD Item 19 + per-state attorney advertising + FINRA per-state). Commercial-pillar parent: /multi-location-content-engine.

Q: 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: per-portfolio per-location per-query per-period trend-ingestion coverage — locations covered + DMAs/MSAs/ZIPs ingested + queries decomposed. Workstream 2: Ingest per-source per-location per-day trend-ingestion flow — per-vendor DPA + per-API rate-limit + per-source ToS scraping doctrine compliance + per-Google-Trends 5-year baseline normalization. Workstream 3: Decompose per-location per-query seasonality decomposition flow — STL + X-13ARIMA-SEATS + TBATS + Prophet + per-location holiday/event/weather/school/fiscal calendar. Workstream 4: Cluster per-location per-query query-velocity + SERP-feature volatility + per-vertical trend-class + LLM hallucination-detection flow. Workstream 5: Regulatory-defense audit coverage — per-DMA/MSA/ZIP geo + seasonality + query-velocity + SERP-feature volatility + per-vertical trend-class + LLM hallucination-detection + replication-crisis + scraping doctrine + EU AI Act Article 50 + FDD Item 19 + FINRA + SOX + FASB ASC 280. Workstream 6: FBC feedback-loop pattern-learning — per-location per-query realized-vs-predicted trend + per-vendor schema-drift retrospective + per-replication-crisis robustness retrospective.

Google Trends API + pytrends + Glimpse + Exploding Topics + SparkToro + Brandwatch + Talkwalker + Meltwater + Sprinklr Listening + Google Search Console Performance API + Bing Webmaster Tools + Yandex Webmaster + Naver Search Advisor + SimilarWeb + Semrush + Ahrefs + Moz + Sistrix + SE Ranking + SpyFu + iSpionage + KeywordSpy + Keyword Insights + AnswerThePublic + AlsoAsked + KWFinder + Ubersuggest + Marketmuse + Frase + Surfer SEO + Clearscope + ContentKing + Conductor + BrightEdge + Pi Datametrics + Esri ArcGIS + MapBox + Foursquare + SafeGraph + Placer.ai + Near + Nielsen DMA + Census MSA + Prophet + NeuralProphet + StatsForecast + sktime + Darts + statsmodels + PyMC + NumPyro + Stan + brms + Snowflake + BigQuery + Databricks + scikit-learn + XGBoost + LightGBM ship per-account flat hyper-local search-trend primitives. The Ingest + Decompose + Cluster + Audit skill bundle on the hyper-local-search-trends agent sits above the search-trends + geo-routing + geo-boundary + Bayesian + warehouse substrate and writes a per-location per-period canonical search-trend record with named regulatory anchors covering per-DMA + MSA + ZIP + sub- ZIP + Block Group + Tract + geo-fence geo-resolution + per-location seasonality (STL + X-13ARIMA-SEATS + TBATS + Prophet + holiday/event/weather/school/fiscal) + per- location query-velocity (volume + growth + acceleration + decay + peakedness + novelty + persistence + Google- Trends 5-year baseline) + per-location SERP-feature volatility (PAA + Featured Snippet + Local Pack + Knowledge Panel + Image Pack + Video Pack + News + Shopping + AI Overview) + per-vertical hyper-local trend- class + per-location LLM hallucination-detection + replication-crisis discipline (Bonferroni + BH FDR + E- value + Rosenbaum Γ + per-location placebo + reverse causality) + scraping doctrine (hiQ Labs + Van Buren + Meta v Bright Data) + EU AI Act Article 50 + FDD Item 19 + FINRA 2210 + SOX 302/404/906 + FASB ASC 280.

Published January 14, 2027 · 3,200 words

The 4-skill bundle on the hyper-local-search-trends agent

One agent. Four coordinated skills. The Ingest + Decompose + Cluster + Audit bundle runs above the search-trends + geo-routing + geo-boundary + Bayesian + warehouse substrate and writes one canonical per-location per- period search-trend record.

Ingest

Per-source per-location per-day search-trends ingestion (Google Trends + Glimpse + Exploding Topics + SparkToro + Brandwatch + Talkwalker + Meltwater + GSC + Bing + Yandex + SimilarWeb + Semrush + Ahrefs + Marketmuse + Surfer + Clearscope + ContentKing). Per-vendor DPA + per-API rate-limit + per-source ToS scraping doctrine (hiQ Labs + Van Buren + Meta v Bright Data). Per-location geo-resolution (DMA + MSA + ZIP + sub-ZIP + Block Group + Tract + geo-fence radius/isochrone). Per-query Google-Trends 5-year baseline normalization.

Decompose

Per-location per-query seasonality decomposition: STL + X-13ARIMA-SEATS + TBATS + Prophet additive + multiplicative seasonality. Per-location holiday- effect + event-effect + weather-effect + school- calendar + fiscal-calendar. Per-location per-query trend + seasonal + residual decomposition.

Cluster

Per-location per-query velocity (absolute volume + relative + growth + acceleration + decay + peakedness + novelty + persistence) + SERP-feature volatility (PAA + Featured Snippet + Local Pack + Knowledge Panel + Image Pack + Video Pack + News + Shopping + AI Overview) + per-vertical trend-class (Direct- Service + Comparison + Brand + Long-Tail + Emergency + Aspirational + Health + Financial + Legal + Real- Estate) + LLM hallucination-detection (LLM-generated signal + Schema.org Validator cross-check + Google Search Quality Rater Guidelines). Per-trend severity P0-P4.

Audit

Per-location per-period WORM trend-ingestion record: per-query snapshot + per-source vendor ingestion + seasonality decomposition + query-velocity + SERP- feature volatility + per-vertical trend-class + LLM hallucination-detection result + per-anchor gate-pass + AI-ML provenance + EU AI Act FRIA. Retention: 7- year FTC + 7-year IRS + 7-year HIPAA + 7-year state bar + 6-year SEC + 3-year FINRA + 7-year SOX + GDPR Article 30 + EU AI Act Article 12 + SOC 2 CC7/CC8.

The real ecosystem this sits above

Ingest + Decompose + Cluster + Audit does not replace search-trends vendors, geo-routing, geo-boundary data, or Bayesian samplers. It sits above them and writes one canonical per-location per-period search-trend record.

Search-trends + SEO

Google Trends API + pytrends + Glimpse + Exploding Topics
SparkToro + Brandwatch + Talkwalker + Meltwater + Sprinklr
Google Search Console + Bing Webmaster + Yandex + Naver
SimilarWeb + Semrush + Ahrefs + Moz + Sistrix + SpyFu
Marketmuse + Frase + Surfer SEO + Clearscope + ContentKing

Geo-routing + geo-boundary

Esri ArcGIS + MapBox + Foursquare + SafeGraph + Placer.ai
Nielsen DMA 210-market + Census MSA 935-market
ZIP 41,000 + sub-ZIP + Block Group 220,000 + Tract 73,000
per-geo-fence radius/isochrone polygons
Per-source ToS scraping doctrine (hiQ + Van Buren + Bright Data)

Bayesian + warehouse + governance

Prophet + NeuralProphet + StatsForecast + sktime + Darts
statsmodels + PyMC + NumPyro + Stan + brms Bayesian
scikit-learn + XGBoost + LightGBM + CatBoost
Snowflake + BigQuery + Databricks + Redshift + ClickHouse
Iceberg + Hudi + Delta Lake time-travel

Compliance overlay

Five anchors run per-location per-query before any trend distributes to content-engine routing. The first anchor is operationally distinctive: per-DMA/MSA/ZIP geo- resolution + seasonality decomposition + query-velocity + SERP-feature volatility + per-vertical trend-class + LLM hallucination-detection + replication-crisis discipline + scraping doctrine converge on every per- location per-query trend decision.

Anchor 1: Per-DMA/MSA/ZIP geo-resolution + seasonality + query-velocity + SERP-feature volatility + per- vertical trend-class + LLM hallucination-detection + replication-crisis + scraping doctrine (operationally distinctive)

Hyper-local search-trends ingestion (Google Trends + Glimpse + Exploding Topics + SparkToro + Brandwatch + Talkwalker + Meltwater + Sprinklr + GSC + Bing + Yandex + SimilarWeb + Semrush + Ahrefs + Moz + Marketmuse + Frase + Surfer + Clearscope + ContentKing + Conductor + BrightEdge + Pi Datametrics) + per- location geo-resolution (Nielsen DMA 210-market + Census MSA 935-market + ZIP 41,000 + sub-ZIP + Block Group 220,000 + Tract 73,000 + geo-fence radius/ isochrone) + per-location seasonality decomposition (STL + X-13ARIMA-SEATS + TBATS + Prophet additive/ multiplicative + holiday + event + weather + school + fiscal calendar) + per-location query-velocity (absolute volume + relative + growth + acceleration + decay + peakedness + novelty + persistence + Google- Trends 5-year baseline) + per-location SERP-feature volatility (PAA + Featured Snippet + Local Pack + Knowledge Panel + Image Pack + Video Pack + News + Shopping + AI Overview) + per-vertical trend-class (Direct-Service + Comparison + Brand + Long-Tail + Emergency + Aspirational + Health + Financial + Legal + Real-Estate) + per-location LLM hallucination- detection + per-vertical replication-crisis discipline (Bonferroni + BH FDR + E-value + Rosenbaum Γ + per- location placebo + reverse causality) + per-source ToS scraping doctrine (hiQ Labs v LinkedIn + Van Buren v United States + Meta v Bright Data).

Anchor 2: FTC + FDD Item 19 + Sherman/Clayton + Lanham

FTC Section 5 + Pfizer 1972 + CFPB UDAAP + Lanham + USPTO + Robinson-Patman + FTC Endorsement Guides + FTC Fake Review Rule + FDD Item 19 financial performance representations when trend shared with franchisees + 15-state franchise + Sherman + Clayton.

Anchor 3: HIPAA + FINRA + per-vertical

HIPAA when health/wellness trend + FINRA Rule 2210 when financial-services trend + SEC Regulation FD + FDA OPDP + DEA + alcohol + + per-state professional licensing.

Anchor 4: EU AI Act + AI-ML trend routing

EU AI Act Article 50 transparency when AI-ML trend routing + Article 13/14/15 + Annex III when AI-ML trend routing drives content-engine routing + Article 6/27 FRIA + DSA + DMA. GDPR Article 6/7/22/28/30 + LGPD + DPDP + PIPEDA + Quebec Law 25 + CCPA + CPRA + 18-state.

Anchor 5: Accessibility + SOX + FASB + WORM retention

WCAG 2.2 AA + ARIA + EAA + ADA Title III + Section 508. SOX 302/404/906 + COSO + Exchange Act 13(b)(2) + FASB ASC 280 segment reporting + SEC Reg S-K. NIST AI RMF + ISO 42001 + ISO 27001 + SOC 2 Type II. Per-vendor LLM zero-retention + per-source DPA + per-API rate- limit. Storage: AWS S3 Object Lock + Azure Blob immutable + GCS + Wasabi WORM. Retention: 7-year FTC + 7-year IRS + 7-year HIPAA + 7-year state bar + 6- year SEC + 3-year FINRA + 7-year SOX + GDPR Article 30 + EU AI Act Article 12 + SOC 2 CC7/CC8.

6-workstream reporting cycle

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

1. Per-portfolio per-location per-query per- period trend-ingestion coverage. Locations covered + DMAs/MSAs/ZIPs ingested + queries decomposed.
2. Ingest per-source per-location per-day trend- ingestion flow. Per-vendor DPA + rate-limit + ToS scraping doctrine + Google-Trends 5-year baseline normalization.
3. Decompose per-location per-query seasonality decomposition flow. STL + X-13ARIMA-SEATS + TBATS + Prophet + per-location holiday/event/weather/ school/fiscal calendar.
4. Cluster per-location per-query velocity + SERP-feature volatility + per-vertical trend-class + LLM hallucination-detection flow.
5. Regulatory-defense audit coverage. Per-DMA/MSA/ZIP geo + seasonality + query-velocity + SERP-feature volatility + per-vertical trend-class + LLM hallucination-detection + replication-crisis + scraping doctrine + EU AI Act Article 50 + FDD Item 19 + FINRA + SOX + FASB ASC 280.
6. FBC feedback-loop pattern-learning. Per-location per-query realized-vs-predicted trend + per-vendor schema-drift retrospective + per-replication- crisis robustness retrospective.

FAQ

What is hyper-local search-trends ingestion for multi-location content engines — and what is the per-DMA-MSA-ZIP-sub-ZIP-geo-resolution-times-per-location-seasonality-decomposition-times-per-location-query-velocity-times-per-location-SERP-feature-volatility-times-per-vertical-trend-class problem distinctive to this skill?: A multi-location operator with 50-300 stores ships per-location hyper-local search-trends ingestion across 210 Nielsen DMAs + 935 Census MSAs + 41,000 ZIPs + 73,000 Census Tracts + 220,000 Block Groups + per-geo-fence radius/isochrone polygons. Per-week per-portfolio: 10,000-100,000 per-location per-query trend signals requiring decomposition + clustering + velocity scoring + SERP-feature volatility tracking. The four-skill bundle on the hyper-local-search-trends agent — Ingest, Decompose, Cluster, Audit — sits above the search-trends + geo-routing + geo-boundary + Bayesian + warehouse substrate (Google Trends API + pytrends + Glimpse + Exploding Topics + SparkToro + Brandwatch + Talkwalker + Meltwater + Sprinklr + Google Search Console Performance API + Bing Webmaster Tools + Yandex Webmaster + Naver Search Advisor + SimilarWeb + Semrush + Ahrefs + Moz + Sistrix + SpyFu + iSpionage + KeywordSpy + Marketmuse + Frase + Surfer SEO + Clearscope + ContentKing + Conductor + BrightEdge + Pi Datametrics + Esri ArcGIS + MapBox + Foursquare + SafeGraph + Placer.ai + Nielsen DMA + Census MSA + Prophet + NeuralProphet + statsmodels + PyMC + Stan) and writes a per-location per-period canonical search-trend record. The operationally distinctive anchor: hyper-local search-trends ingestion + per-location geo-resolution (per-DMA 210-market + per-MSA 935-market + per-ZIP 41,000 + per-sub-ZIP + per-Block Group 220,000 + per-Tract 73,000 + per-geo-fence radius/isochrone) + per-location seasonality decomposition (STL + X-13ARIMA-SEATS + TBATS + Prophet additive/multiplicative + per-location holiday-effect + event-effect + weather-effect + school-calendar + fiscal-calendar) + per-location query-velocity (absolute volume + relative volume + growth-rate + acceleration + decay-rate + peakedness + novelty + persistence + Google-Trends 5-year baseline normalization) + per-location SERP-feature volatility (People Also Ask + Featured Snippet + Local Pack + Knowledge Panel + Image Pack + Video Pack + News + Shopping + AI Overview) + per-vertical hyper-local trend-class (Direct-Service-Query + Comparison + Brand + Long-Tail + Emergency + Aspirational + Health + Financial + Legal + Real-Estate) + per-location LLM hallucination-detection + per-vertical replication-crisis statistical discipline (Bonferroni + BH FDR + E-value + Rosenbaum + per-location placebo + reverse causality).
Why do Google Trends + Glimpse + SimilarWeb + Semrush + Ahrefs + Brandwatch + Talkwalker + Marketmuse + Surfer SEO + ContentKing break at multi-location-DMA-MSA-ZIP-sub-ZIP-multi-vertical scale?: Each search-trends + SEO + content-optimization vendor ships per-account flat trend primitive at single-DMA single-query level. None coordinates per-location per-query trend ingestion across DMA + MSA + ZIP + sub-ZIP + Block Group + Tract + geo-fence geo-resolution + per-location seasonality decomposition (STL + X-13ARIMA-SEATS + TBATS + Prophet) + per-location query-velocity normalization (Google-Trends 5-year baseline) + per-location SERP-feature volatility tracking (PAA + Featured Snippet + Local Pack + Knowledge Panel + AI Overview) + per-vertical trend-class + per-location LLM hallucination-detection simultaneously. None handles per-vendor DPA + per-API rate-limit + per-source ToS scraping doctrine (hiQ Labs + Van Buren + Meta v Bright Data). None gates against replication-crisis statistical discipline + FDD Item 19 financial performance representations when trend shared with franchisees + FINRA + SOX + FASB ASC 280. None writes a per-location per-period WORM trend-ingestion audit trail. The four-skill bundle Ingest + Decompose + Cluster + Audit sits above the search-trends + geo-routing + geo-boundary + Bayesian + warehouse substrate — it does not replace it.
How does Ingest + Decompose work?: Ingest runs per-source per-location per-day search-trends ingestion: Google Trends API via pytrends + per-Glimpse + per-Exploding Topics + per-SparkToro + per-Brandwatch + per-Talkwalker + per-Meltwater + per-Sprinklr + Google Search Console Performance API + Bing Webmaster Tools + Yandex Webmaster + Naver Search Advisor + SimilarWeb + Semrush + Ahrefs + Moz + Sistrix + SpyFu + iSpionage + KeywordSpy + Keyword Insights + AnswerThePublic + AlsoAsked + Ubersuggest + Marketmuse + Frase + Surfer SEO + Clearscope + ContentKing + Conductor + BrightEdge + Pi Datametrics. Per-vendor DPA + per-API rate-limit + per-source ToS scraping doctrine compliance (hiQ Labs v LinkedIn + Van Buren v United States + Meta v Bright Data). Per-location geo-resolution: per-Nielsen DMA 210-market + per-Census MSA 935-market + per-ZIP 41,000 + per-sub-ZIP + per-Block Group 220,000 + per-Tract 73,000 + per-geo-fence radius/isochrone via Esri ArcGIS + MapBox + Foursquare + SafeGraph + Placer.ai. Per-query Google-Trends 5-year baseline normalization. Decompose runs per-location per-query seasonality decomposition: STL decomposition + X-13ARIMA-SEATS + TBATS + Prophet additive + multiplicative seasonality. Per-location holiday-effect + event-effect + weather-effect + school-calendar + fiscal-calendar. Per-location per-query trend + seasonal + residual decomposition.
What does Cluster + Audit do?: Cluster runs per-location per-query query-velocity classification: per-query absolute volume + relative volume + growth-rate + acceleration + decay-rate + peakedness + novelty + persistence. Per-location per-query SERP-feature volatility: per-SERP People Also Ask + Featured Snippet + Local Pack + Knowledge Panel + Image Pack + Video Pack + News + Shopping + AI Overview volatility. Per-vertical hyper-local trend-class (Direct-Service-Query + Comparison + Brand + Long-Tail + Emergency + Aspirational + Health + Financial + Legal + Real-Estate). Per-location LLM hallucination-detection (per-query LLM-generated trend signal + per-query Schema.org Validator cross-check + per-query Google Search Quality Rater Guidelines compatibility). Per-trend severity classification: P0 LLM-hallucinated trend signal (immediate block) + P1 replication-crisis robustness fail (E-value < 1.5 + Rosenbaum Γ < 1.5) 72-hour + P2 SERP-feature volatility spike 7-day + P3 query-velocity drift 30-day + P4 docs-only. Gate runs 5 anchors per-location per-query before any trend distributes to content-engine routing. (1) Per-location geo-resolution + seasonality decomposition + query-velocity + SERP-feature volatility + per-vertical trend-class + LLM hallucination-detection + replication-crisis discipline + scraping doctrine. (2) FTC Section 5 + Pfizer 1972 + CFPB UDAAP + Lanham + USPTO + Robinson-Patman + FTC Endorsement Guides + FTC Fake Review Rule + FDD Item 19 financial performance representations when trend shared with franchisees + 15-state franchise + Sherman + Clayton. (3) HIPAA when health/wellness trend + FINRA Rule 2210 when financial-services trend + SEC Regulation FD + FDA OPDP + DEA + alcohol + + per-state professional licensing. (4) EU AI Act Article 50 transparency when AI-ML trend routing + Article 13/14/15 + Annex III when AI-ML trend routing drives content-engine routing + Article 6/27 FRIA + DSA + DMA + GDPR Article 6/7/22/28/30 + LGPD + DPDP + PIPEDA + Quebec Law 25 + CCPA + CPRA + 18-state. (5) WCAG 2.2 AA + ARIA + EAA + ADA Title III + Section 508 + SOX 302/404/906 + COSO + Exchange Act 13(b)(2) + FASB ASC 280 + SEC Reg S-K. Audit writes a per-location per-period WORM trend-ingestion record: per-location per-query snapshot + per-source vendor ingestion + per-location seasonality decomposition + per-query velocity + per-location SERP-feature volatility + per-vertical trend-class + LLM hallucination-detection result + per-anchor gate-pass + AI-ML provenance + EU AI Act FRIA. Retention: 7-year FTC + 7-year IRS + 7-year HIPAA + 7-year state bar + 6-year SEC + 3-year FINRA + 7-year SOX + GDPR Article 30 + EU AI Act Article 12 + SOC 2 CC7/CC8.
What does this skill connect to on the hyper-local-search-trends agent and across the swarm?: On the hyper-local-search-trends agent: per-location per-query trend ingestion + seasonality decomposition + query-velocity + SERP-feature volatility + per-vertical trend-class. Across the swarm: per-location AI-calibrated forecasting (#600 DOWNSTREAM consumer of per-location trend) + root-cause attribution sketch (#604 DOWNSTREAM consumer of per-location trend) + continuous per-market scoring (#609 same per-DMA/MSA + per-state seasonality substrate) + per-location metric ingestion (#616 same per-vendor DPA + per-API rate-limit substrate) + integration-drift-monitor agent (#562 + #569 + #570) + per-state-overlay-composer (#599 UPSTREAM canonical for FDD Item 19 + per-state attorney advertising + FINRA per-state). Commercial-pillar parent: /multi-location-content-engine.
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: per-portfolio per-location per-query per-period trend-ingestion coverage — locations covered + DMAs/MSAs/ZIPs ingested + queries decomposed. Workstream 2: Ingest per-source per-location per-day trend-ingestion flow — per-vendor DPA + per-API rate-limit + per-source ToS scraping doctrine compliance + per-Google-Trends 5-year baseline normalization. Workstream 3: Decompose per-location per-query seasonality decomposition flow — STL + X-13ARIMA-SEATS + TBATS + Prophet + per-location holiday/event/weather/school/fiscal calendar. Workstream 4: Cluster per-location per-query query-velocity + SERP-feature volatility + per-vertical trend-class + LLM hallucination-detection flow. Workstream 5: Regulatory-defense audit coverage — per-DMA/MSA/ZIP geo + seasonality + query-velocity + SERP-feature volatility + per-vertical trend-class + LLM hallucination-detection + replication-crisis + scraping doctrine + EU AI Act Article 50 + FDD Item 19 + FINRA + SOX + FASB ASC 280. Workstream 6: FBC feedback-loop pattern-learning — per-location per-query realized-vs-predicted trend + per-vendor schema-drift retrospective + per-replication-crisis robustness retrospective.

Engage Completions

Two ways to engage. The Tier 1 AI Readiness Assessment maps the search-trends + geo-routing + geo-boundary + Bayesian + warehouse substrate + per-DMA/MSA/ZIP + per- location seasonality + query-velocity + SERP-feature volatility + per-vertical trend-class + LLM hallucination- detection surface against the Ingest + Decompose + Cluster + 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 hyper-local-search-trends agent across the swarm.

Tier 1 AI Readiness Assessment Tier 3 Fractional CMO with AI Swarm Not sure which tier? Take the 3-question quiz