For per-corporate-technical-SEO + per-corporate-marketing + per-franchisee SEO

Most rank trackers forget after twelve months. The per-Google-2024-March-Core-Update pre-update rank baseline is gone. Per-Google-2024-August-Helpful- Content rank trajectory is gone. Per-Google-2025- Spam-Update recovery diagnostic is unavailable per- portfolio per-quarter.

Semrush, Ahrefs, Moz, AccuRanker, RankRanger, Advanced Web Ranking, Pi Datametrics, SearchAtlas, SE Ranking ship per-platform enterprise rank-tracking. BrightLocal, Whitespark, Local Falcon, GMB Crush, Synup, PlePer ship per-platform local-pack-rank + per-grid-rank tracking. Per-platform rank retention typically caps at 6-12 months per per-keyword per-location. The per- portfolio multi-platform rank-history unification + per-portfolio 3-year+ per-location per-keyword rank retention + per-Google-algorithm-update correlation + per-recovery diagnostics + per-rank-trajectory- forecasting at multi-location-operator scale is operator-side architecture.

By Jay ChristopherMay 30, 202611 min read

What this gets you

Per-portfolio multi-platform rank-history unification. Per-Semrush + per-Ahrefs + per-Moz + per- BrightLocal + per-Whitespark + per-Local-Falcon + per-AccuRanker + per-RankRanger per-portfolio per- keyword per-location-pair per-platform-cross- source unified per-portfolio canonical rank- schema.
Per-portfolio 3-year+ per-location per-keyword rank retention. Per-day-grain per-3-year archive per-Parquet + per-ClickHouse + per-TimescaleDB + per-Athena per- portfolio storage. Per-portfolio per-100,000- keyword × per-150-location × per-3-year storage cost runs $30-$90 per per-portfolio per-month.
Per-Google-algorithm-update correlation. Per-portfolio per-Google-algorithm-update calendar registry + per-portfolio per-location per-keyword per-rank vs per-Google-Core + per-Helpful-Content + per-Spam-Update per-update-window correlation.
Per-portfolio per-location per-recovery diagnostics. Per-pre-update-rank-baseline (per-30-day pre) + per-post-update-rank-trajectory (per-30-day + per-90-day + per-180-day post) + per-portfolio per-recovery-comparison per-Google-update.
Per-portfolio rank-volatility analysis + rank- trajectory forecasting. Per-portfolio per-historical-feature-engineering per-machine-learning-model per-portfolio per- keyword per-location per-future-30-day + per- future-90-day + per-future-180-day rank forecast with per-forecast-uncertainty.
Per-portfolio per-rank-history anomaly detection. Sibling two-sigma-outlier-flagging skill consumes per-portfolio per-3-year-historical-baseline per- anomaly per-rank-vs-historical-trend (cross-link to /two-sigma-outlier-flagging).
Wired into 6-skill local-pack-tracking closed- loop pipeline. Detect (ai-overview-presence-tracking) + Emit (rank-stream-emission) + Scrape (continuous-serp- scraping) + Track (serp-feature-presence-tracking) + Archive (rank-history-timeseries, this skill) + Report (franchisee-accountability-views; cross- link to /franchisee-accountability-dashboard).

Per-portfolio per-quarter per-12-month-retention rollover loses per-Google-algorithm-update correlation. Per-recovery diagnostic per-quarter unavailable. Per- rank-trajectory-forecasting under-fits per-Google- algorithm-update-recurrence.

Per-portfolio per-quarter per-rank-tracker per-12- month-retention rollover loses per-Google-algorithm- update correlation per-portfolio per-quarter. Per- Google per-quarter per-algorithm-update population runs 6-12 per-quarter (per-Google-2024-March-Core + per-Google-2024-May-Helpful-Content + per-Google- 2024-August-Core + per-Google-2025-March-Core + per-Google-2025-Spam-Update + per-Google per- quarterly-update).

Per-portfolio per-location per-rank-correlation per- Google-update per-12-month-rolling-window misses per-Google-update from per-prior-12-month-window. Per-portfolio per-location per-quarter per-Google- 2024-March-Core-Update-correlated per-rank-recovery diagnostic per-quarter requires per-pre-update-rank- baseline + per-post-update-rank-trajectory + per- portfolio per-recovery-comparison.

Per-portfolio per-12-month-retention per-quarter loses per-Google-2024-March-Core-Update per-pre- update-rank-baseline. Per-portfolio per-recovery- diagnostic per-quarter unavailable per-portfolio. Per-portfolio per-corporate-marketing per-Google- update-response cycle per-data-driven runs per- quarter sub-baseline.

Per-portfolio per-quarter per-rank-volatility analysis per-portfolio per-location per-Google-2024- March-Core vs per-Google-2024-August-Core vs per- Google-2025-Spam-Update per-quarterly comparison incomplete per-portfolio per-12-month-rolling- window.

Per-portfolio per-rank-trajectory-forecasting per- machine-learning-model per-portfolio per-historical- feature-engineering requires per-multi-year per- location per-keyword history per-training-feature- engineering. Per-portfolio per-rank-trajectory- forecasting per-12-month-rolling-window under-fits per-Google-algorithm-update-recurrence per-portfolio per-quarter.

Per-portfolio per-rank-history-long-term-decay- detection per-portfolio per-12-month-rolling-window invisible per-portfolio per-quarter per-long-term- trend. Per-portfolio per-3-year-rank-trend-decay surfaces only at per-portfolio per-3-year-rank- history per-retention-window.

Per-portfolio 3-year+ rank archive at AI-runtime closes the gap. Per-portfolio multi-platform rank- history unification + per-portfolio 3-year+ per- location per-keyword rank retention + per-Google- algorithm-update correlation + per-recovery diagnostics + per-rank-volatility analysis + per- rank-trajectory-forecasting + per-rank-history- anomaly-detection + per-franchisee per-3-year-rank- archive dashboard. Per-portfolio per-quarter per- Google-update-response cycle compression. Per- portfolio per-corporate-marketing per-Google-update per-data-driven response rate improves. Per- portfolio per-rank-trajectory-forecasting accuracy improves per-portfolio per-quarter.

What is in market — and what each category leaves to you

Per-platform enterprise rank-tracking + per-platform local-pack-rank + per-grid-rank primitives are mature. The per-portfolio multi-platform rank-history unification + per-portfolio 3-year+ per-location per- keyword retention + per-Google-algorithm-update correlation + per-recovery diagnostics + per-rank- volatility + per-rank-trajectory-forecasting + per- rank-history-anomaly-detection at multi-location- operator scale is operator-side architecture.

Enterprise rank-tracking — Semrush, Ahrefs, Moz, AccuRanker, RankRanger, Advanced Web Ranking, Pi Datametrics, SearchAtlas, SE Ranking

Excellent at per-platform per-keyword per-location per-day rank + per-platform per-SERP-feature + per-platform per-domain rank-stream + per-platform per-Google-Search-Console integration + per- platform per-competitor-tracking. The per- portfolio multi-platform rank-history unification + per-portfolio 3-year+ retention + per-Google- algorithm-update correlation + per-recovery diagnostics + per-rank-trajectory-forecasting at multi-location-operator scale are operator-side architecture above the per-platform rank-tracking primitive.

Local-pack rank-tracking — BrightLocal, Whitespark, Local Falcon, GMB Crush, Synup, PlePer

Strong at per-grid-rank + per-local-pack-rank + per-local-business-rank + per-GBP-position + per-Google-Maps-rank. The per-portfolio multi- platform unification combining per-grid-rank with per-organic + per-SERP-feature + per-AI-Overview + per-3-year-retention + per-Google-algorithm-update correlation sit above the per-platform local-pack- rank primitive.

Per-platform 6-12-month retention status quo

The status quo at most multi-location operators. Per-portfolio per-Semrush + per-Ahrefs + per- BrightLocal + per-AccuRanker + per-RankRanger per- 6-12-month per-keyword per-location retention. Per-portfolio per-quarter per-retention rollover loses per-Google-algorithm-update correlation. Per-portfolio per-quarter per-recovery diagnostic unavailable. Per-portfolio per-rank-trajectory- forecasting under-fits per-quarter. Per-portfolio per-corporate-marketing per-Google-update-response per-data-driven sub-baseline per-quarter.

The pipeline, end to end

Position on the local-pack-tracking agent. Rank-history-timeseries is the Archive stage of the 6-skill closed-loop pipeline on local-pack-tracking. Sibling skills: ai-overview-presence-tracking (Detect) + rank-stream-emission (Emit) + continuous- serp-scraping (Scrape) + serp-feature-presence- tracking (Track) + franchisee-accountability-views (Report; cross-link to /franchisee-accountability-dashboard).
Per-portfolio per-platform connector inventory. Per-portfolio per-platform connector inventory configures per-Semrush per-API + per-Ahrefs per-API + per-Moz per-API + per-AccuRanker per-API + per- RankRanger per-API + per-Advanced-Web-Ranking per- API + per-Pi-Datametrics per-API + per-SearchAtlas per-API + per-SE-Ranking per-API + per-BrightLocal per-API + per-Whitespark per-API + per-Local-Falcon per-API + per-GMB-Crush per-API + per-Synup per- API + per-PlePer per-API per-portfolio-credentials.
Per-platform per-day per-rank-record ingestion. Per-platform per-day per-keyword per-location-pair per-rank-record + per-SERP-feature-presence per- event-stream + per-AI-Overview-presence per-event- stream + per-competitor-rank per-event-stream + per- domain-rank-stream per-event-stream ingestion per- day.
Per-rank-record canonical schema normalization. Per-rank-record normalizes to per-portfolio canonical rank-schema (per-keyword + per-location + per-day + per-rank-position + per-SERP-feature-set + per-AI- Overview-presence + per-competitor-rank-set + per- domain-rank-stream + per-rank-volatility-cohort + per-source-platform + per-source-platform-rank- payload-original).
Per-portfolio multi-platform rank-history unification. Per-portfolio canonical rank-schema unifies per- portfolio per-keyword per-location-pair per-day across per-platform per-cross-source. Per-portfolio per-platform-conflict resolution per-platform- priority-weighting per-portfolio (per-Local-Falcon highest priority per-grid-rank; per-AccuRanker highest priority per-keyword-rank; per-BrightLocal highest priority per-GBP-rank).
Per-portfolio 3-year+ rank-archive storage. Per-portfolio per-day per-rank-record compresses per- Parquet + per-time-series-database (per-ClickHouse + per-TimescaleDB + per-Athena) per-portfolio per-3- year archive. Per-portfolio per-100,000-keyword × per-150-location × per-3-year per-storage-cost runs $30-$90 per per-portfolio per-month per-S3-Standard.
Per-portfolio per-Google-algorithm-update calendar registry. Per-portfolio per-Google-Core-Update + per-Google- Helpful-Content-Update + per-Google-Spam-Update + per-Google-Reviews-Update + per-Google-Product- Review-Update + per-Google-March-2024 + per-Google- May-2024 + per-Google-August-2024 + per-Google-March- 2025 + per-Google-quarterly-update timestamp registry.
Per-portfolio per-Google-update rank-correlation. Per-portfolio per-location per-keyword per-pre- update-rank-baseline (per-30-day-pre-update) + per- portfolio per-post-update-rank-trajectory (per-30- day-post + per-90-day-post + per-180-day-post) + per-portfolio per-recovery-comparison per-portfolio per-quarter per-Google-update per-portfolio per- recovery-diagnostic.
Per-portfolio per-rank-volatility analysis. Per-portfolio per-keyword per-location per-30-day rank-volatility + per-90-day rank-volatility + per- 180-day rank-volatility + per-365-day rank-volatility + per-3-year rank-volatility per-portfolio per- location-cohort comparison.
Per-portfolio per-rank-trajectory-forecasting. Per-portfolio per-historical-feature-engineering per- machine-learning-model trains per-portfolio per- quarter per-portfolio per-location per-keyword per- future-30-day + per-future-90-day + per-future-180- day rank forecast with per-forecast-uncertainty per- portfolio per-forecast-decision support.
Per-portfolio per-rank-history-anomaly-detection handoff. Per-portfolio per-rank-history-anomaly-detection hands off to sibling two-sigma-outlier-flagging skill (cross-link to /two-sigma-outlier-flagging). Per-portfolio per-3-year-historical-baseline per- anomaly per-rank-vs-historical-trend detection.
Per-franchisee per-3-year-rank-archive dashboard. Per-franchisee per-location per-3-year-rank-archive + per-Google-algorithm-update timeline + per- franchisee per-recovery-diagnostic + per-franchisee per-rank-trajectory-forecast surface.
Per-Archive → per-Report handoff. Per-Archive history feeds sibling franchisee- accountability-views (Report) skill per-3-year per-franchisee per-rank-history surface. Per- portfolio per-rank-stream-emission consumes per- Archive per-Google-update-correlation-flag per- stream-emission.
ROI measurement. Per-portfolio per-quarter per-Google-algorithm- update correlation completeness. Per-portfolio per- quarter per-location per-recovery diagnostic completeness. Per-portfolio per-quarter per-rank- volatility analysis completeness. Per-portfolio per- quarter per-rank-trajectory-forecasting accuracy. Per-portfolio per-quarter per-rank-history-anomaly- detection precision. Per-portfolio per-quarter per- corporate-marketing per-location per-recovery- decision per-data-driven support rate. Per-portfolio per-quarter per-franchisee per-3-year-rank-archive dashboard adoption. Per-portfolio per-Google-update- response cycle compression. Per-portfolio per- storage-cost per-3-year archive. ROI dominated by per-portfolio per-Google-update-response cycle compression + per-portfolio per-rank-trajectory- forecasting accuracy + per-portfolio per-recovery- diagnostic completeness.

Frequently asked

What is SERP history?

SERP history archives per-keyword per-location per-day rank position + per-SERP-feature presence + per-AI-Overview presence + per-competitor rank + per-domain rank-stream over per-multi-year horizon. The enterprise rank-tracking + per-platform-rank-history category includes Semrush, Ahrefs, Moz, AccuRanker, RankRanger, Advanced Web Ranking, Pi Datametrics, SearchAtlas, SE Ranking. The local-pack-rank-tracking + per-grid-rank category includes BrightLocal, Whitespark, Local Falcon, GMB Crush, Synup, PlePer. The per-platform rank retention typically caps at 6-12 months per per-keyword per-location per per-platform. The rank-history-timeseries skill on the local-pack-tracking agent (Archive stage of the 6-skill closed-loop pipeline alongside ai-overview-presence-tracking + rank-stream-emission + continuous-serp-scraping + serp-feature-presence-tracking + franchisee-accountability-views) — running per-portfolio per-location per-keyword 3-year+ rank retention + per-Google-algorithm-update correlation + per-portfolio per-location per-recovery diagnostics + per-portfolio per-rank-volatility analysis + per-portfolio per-rank-forecasting + per-portfolio per-rank-history-anomaly-detection at multi-location-operator scale — is operator-side architecture above the per-platform rank-tracking primitive.

Why does per-platform 6-12-month rank retention break down at multi-location-operator scale?

A 140-location multi-vertical operator runs per-portfolio per-Semrush + per-Ahrefs + per-BrightLocal + per-Whitespark + per-Local-Falcon + per-AccuRanker + per-RankRanger per-platform per-rank-tracking per-portfolio. Per-portfolio per-platform per-keyword per-location-pair retention runs 6-12 months per-platform. Per-portfolio per-rank-tracker per-quarter per-12-month-retention rollover loses per-Google-algorithm-update correlation per-portfolio per-quarter. Per-Google per-quarter per-algorithm-update population runs 6-12 per-quarter (per-Google-2024-March-Core + per-Google-2024-May-Helpful-Content + per-Google-2024-August-Core + per-Google-2025-March-Core + per-Google-2025-Spam-Update + per-Google per-quarterly-update). Per-portfolio per-location per-rank-correlation per-Google-update per-12-month-rolling-window misses per-Google-update from per-prior-12-month-window. Per-portfolio per-location per-quarter per-Google-2024-March-Core-Update-correlated per-rank-recovery diagnostic per-quarter requires per-pre-update-rank-baseline + per-post-update-rank-trajectory + per-portfolio per-recovery-comparison. Per-portfolio per-12-month-retention per-quarter loses per-Google-2024-March-Core-Update per-pre-update-rank-baseline. Per-portfolio per-recovery-diagnostic per-quarter unavailable per-portfolio. Per-portfolio per-quarter per-rank-volatility analysis per-portfolio per-location per-Google-2024-March-Core vs per-Google-2024-August-Core vs per-Google-2025-Spam-Update per-quarterly comparison incomplete per-portfolio per-12-month-rolling-window. Per-portfolio per-rank-trajectory-forecasting per-machine-learning-model per-portfolio per-historical-feature-engineering requires per-multi-year per-location per-keyword history per-training-feature-engineering. Per-portfolio per-rank-trajectory-forecasting per-12-month-rolling-window under-fits per-Google-algorithm-update-recurrence per-portfolio per-quarter. Per-portfolio per-rank-history-long-term-decay-detection per-portfolio per-12-month-rolling-window invisible per-portfolio per-quarter per-long-term-trend. Per-portfolio per-3-year+ rank archive at AI-runtime closes the gap.

How is this different from Semrush, Ahrefs, Moz, BrightLocal, Whitespark, Local Falcon, AccuRanker, RankRanger, Advanced Web Ranking, Pi Datametrics, GMB Crush, or Synup?

Those platforms ship per-platform rank-tracking + per-platform 6-12-month rank-retention primitives. Semrush + Ahrefs + Moz + AccuRanker + RankRanger + Advanced Web Ranking + Pi Datametrics + SearchAtlas + SE Ranking ship per-platform per-keyword per-location per-day rank + per-platform per-SERP-feature + per-platform per-domain rank-stream per-platform-rank-retention typically 6-12 months. BrightLocal + Whitespark + Local Falcon + GMB Crush + Synup + PlePer ship per-grid-rank + per-local-pack-rank + per-local-business-rank per-platform-retention typically 6-12 months. They are excellent at the per-platform rank-tracking + per-platform 6-12-month rank-retention primitive. The per-portfolio multi-platform rank-history unification (per-Semrush + per-Ahrefs + per-Moz + per-BrightLocal + per-Whitespark + per-Local-Falcon + per-AccuRanker + per-RankRanger per-portfolio per-keyword per-location-pair per-platform-cross-source unified per-portfolio canonical rank-schema), the per-portfolio 3-year+ per-location per-keyword rank retention (per-portfolio per-day-grain per-3-year archive), the per-Google-algorithm-update correlation (per-portfolio per-location per-keyword per-rank vs per-Google-2024-March-Core + per-Google-2024-May-Helpful-Content + per-Google-2024-August-Core + per-Google-2025-March-Core + per-Google-2025-Spam-Update per-update-window correlation), the per-portfolio per-location per-recovery diagnostics (per-pre-update-rank-baseline + per-post-update-rank-trajectory + per-portfolio per-recovery-comparison), the per-portfolio per-rank-volatility analysis, the per-portfolio per-rank-trajectory-forecasting (per-portfolio per-historical-feature-engineering per-machine-learning-model), the per-portfolio per-rank-history-anomaly-detection (sibling two-sigma-outlier-flagging skill handoff), the per-portfolio per-historical-SERP-feature-change tracking, the per-portfolio per-location per-franchisee per-3-year-rank-archive dashboard at multi-location-operator scale are operator-side architecture above the per-platform rank-tracking primitive.

How does per-portfolio 3-year+ rank retention + per-Google-algorithm-update correlation actually work?

Per-portfolio 3-year+ rank retention runs the Archive stage of the local-pack-tracking agent. Per-portfolio per-day per-rank-record per-portfolio canonical rank-schema (per-keyword + per-location + per-day + per-rank-position + per-SERP-feature-set + per-AI-Overview-presence + per-competitor-rank-set + per-domain-rank-stream + per-rank-volatility-cohort + per-source-platform + per-source-platform-rank-payload-original). Per-portfolio per-rank-record compression runs per-portfolio per-day per-rank-record per-Parquet + per-time-series-database (per-ClickHouse + per-TimescaleDB + per-Athena) per-portfolio per-3-year archive. Per-portfolio per-storage-cost runs per-portfolio per-100,000-keyword × per-150-location × per-3-year × per-day-grain = per-portfolio per-16.4M-rank-records per-year × per-3 = per-portfolio per-49M-rank-records per-3-year per-Parquet per-storage-cost per-portfolio per-S3-Standard per-storage runs $30-$90 per per-portfolio per-month per-3-year-retention. Per-Google-algorithm-update correlation runs per-portfolio per-Google-algorithm-update calendar registry (per-portfolio per-Google-Core-Update + per-Google-Helpful-Content-Update + per-Google-Spam-Update + per-Google-March-2024 + per-Google-August-2024 + per-Google-March-2025 + per-Google-quarterly-update timestamp registry). Per-portfolio per-location per-keyword per-pre-update-rank-baseline (per-30-day-pre-update) + per-portfolio per-post-update-rank-trajectory (per-30-day-post-update + per-90-day-post-update + per-180-day-post-update) + per-portfolio per-recovery-comparison per-portfolio per-quarter per-Google-update per-portfolio per-recovery-diagnostic.

How does per-portfolio rank-trajectory-forecasting work?

Per-portfolio rank-trajectory-forecasting runs per-portfolio per-historical-feature-engineering per-machine-learning-model per-portfolio per-keyword per-location per-rank trajectory. Per-portfolio per-historical-feature-engineering extracts per-portfolio per-keyword per-location per-time-window feature (per-30-day rank-mean + per-30-day rank-volatility + per-90-day rank-mean + per-90-day rank-volatility + per-180-day rank-mean + per-180-day rank-volatility + per-365-day rank-mean + per-365-day rank-volatility + per-Google-update-correlation-coefficient + per-SERP-feature-presence-trend + per-competitor-rank-correlation + per-domain-rank-stream-correlation). Per-portfolio per-historical-feature per-portfolio per-machine-learning-model trains per-portfolio per-quarter per-portfolio per-location per-keyword per-future-30-day + per-future-90-day + per-future-180-day rank forecast. Per-portfolio per-rank-trajectory-forecasting per-portfolio per-corporate-marketing per-portfolio per-quarter per-location per-keyword per-forecast surfaces. Per-portfolio per-rank-forecasting-confidence-interval per-portfolio per-location per-keyword per-forecast-uncertainty per-portfolio per-forecast-decision support. Per-portfolio per-forecast-vs-actual back-test per-quarter per-portfolio per-model-accuracy iteration per-portfolio per-machine-learning-model re-training per-quarter.

How do you measure ROI on per-portfolio 3-year SERP history?

Per-portfolio per-quarter per-Google-algorithm-update correlation completeness (per-portfolio per-quarter per-Google-update per-pre-update-rank-baseline + per-post-update-rank-trajectory per-portfolio per-location per-keyword per-correlation completeness). Per-portfolio per-quarter per-location per-recovery diagnostic completeness (per-portfolio per-location per-Google-update per-pre-update-baseline + per-post-update-trajectory + per-portfolio per-recovery-comparison). Per-portfolio per-quarter per-rank-volatility analysis completeness. Per-portfolio per-quarter per-rank-trajectory-forecasting accuracy (per-portfolio per-forecast-vs-actual per-30-day + per-90-day + per-180-day RMSE). Per-portfolio per-quarter per-rank-history-anomaly-detection precision. Per-portfolio per-quarter per-corporate-marketing per-location per-recovery-decision per-data-driven support rate. Per-portfolio per-quarter per-franchisee per-3-year-rank-archive dashboard adoption. Per-portfolio per-quarter per-corporate-marketing per-Google-update-response cycle compression (per-portfolio per-Google-update-detection-to-per-recovery-action latency). Per-portfolio per-quarter per-rank-stream-emission per-Google-update-correlation-flag (sibling rank-stream-emission consumes per-Archive history per-correlation-flag). Per-portfolio per-quarter per-historical-SERP-feature-change detection. Per-portfolio per-quarter per-storage-cost per-3-year archive. ROI is dominated by per-portfolio per-Google-update-response cycle compression + per-portfolio per-rank-trajectory-forecasting accuracy + per-portfolio per-corporate-marketing per-Google-update per-data-driven response rate + per-portfolio per-recovery-diagnostic completeness.

Hire the agent that keeps three years of per-location SERP history on purpose

The local-pack-tracking agent owns the 6-skill closed- loop pipeline — ai-overview-presence-tracking (Detect) + rank-stream-emission (Emit) + continuous- serp-scraping (Scrape) + serp-feature-presence- tracking (Track) + rank-history-timeseries (Archive) + franchisee-accountability-views (Report) — sitting on top of whichever enterprise rank-tracking source (Semrush, Ahrefs, Moz, AccuRanker, RankRanger, Advanced Web Ranking, Pi Datametrics, SearchAtlas, SE Ranking), local-pack rank-tracking source (BrightLocal, Whitespark, Local Falcon, GMB Crush, Synup, PlePer), or per-Google-data source you license downstream. Per- portfolio per-platform connector inventory + per- platform per-day per-rank-record ingestion + per-rank- record canonical schema normalization + per-portfolio multi-platform rank-history unification + per-portfolio 3-year+ rank-archive storage + per-portfolio per- Google-algorithm-update calendar registry + per- portfolio per-Google-update rank-correlation + per- portfolio per-rank-volatility analysis + per-portfolio per-rank-trajectory-forecasting + per-portfolio per- rank-history-anomaly-detection handoff + per-franchisee per-3-year-rank-archive dashboard + per-Archive → per- Report handoff + audit trail.

Hire the local-pack-tracking agent

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