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 Rank 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 Rank 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, and 9 others?

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 Rank 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 Rank 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.

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