Connect the Estate
Every property connected via API, consolidated into one governed dataset. Two weeks.
Grapes Worldwide's Enterprise GSC Analyser reads Google Search Console across every property at once, flagging anomalies the hour they appear and explaining regressions before the monthly report would have noticed.
Read All of GSC, All the TimeSearch engines love us. More importantly, so do clients. From industry leaders to ambitious challengers, we make sure they reach the right audience. For us, SEO isn’t just rankings, it’s real impact.
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Enterprise SEO teams drown in Search Console: dozens of properties, thousands of pages, and insight buried in exports nobody has time to read. Our GSC Analyser agent reads all of it, continuously. It consolidates every property into one governed view, watches for anomalies and regressions per segment, explains likely causes with the data attached, and lands the exceptions on a human desk each morning. The rest stays quietly monitored.
Every country, brand, and subdomain property consolidated into one governed dataset, deduplicated and normalised.
Clicks, impressions, CTR, and position watched per segment, with anomalies flagged the hour they deviate from trend.
When a segment regresses, the likely suspects assembled with evidence: query mix shifts, SERP changes, page-level decay.
Analysis cut the way you actually manage: by market, category, template, funnel stage, or brand, not by whatever the export allows.
What Google sees versus what you ship: coverage, crawl stats, and validation issues tracked per property.
Built on the Search Console API for volume no dashboard copy-paste can match, with data lineage preserved end to end.
The morning brief: what moved, why it likely moved, and what deserves a decision today, in plain language.
Anomalies routed to the human who owns the affected market or property, with severity and evidence attached.
Five stages, one goal: every property watched continuously, every anomaly explained, every owner informed. Run for multi-market estates across five countries.
Every property connected via API, consolidated into one governed dataset. Two weeks.
Seasonality and trend baselines built per segment so anomalies mean something.
Anomaly detection live per market, category, and template, with severity rules agreed.
Alerts routed to owning humans with evidence packs attached, not raw charts.
Daily digests, weekly narratives, and monthly reviews that arrive pre-analysed.
The GSC Analyser runs sub-agents across the data: consolidation agents keep the multi-property dataset clean, anomaly agents watch every segment against its baseline, regression agents assemble likely causes with evidence, and report agents write the plain-language brief a human reviews before it reaches you. At Grapes, every agent workflow ends at a human desk.
Agents keep the multi-property dataset normalised, deduplicated, and current.
Data owners approve property additions.
Agents watch every segment against baseline and flag deviations hourly.
Market owners triage every alert.
Agents rank likely causes for each regression with the evidence attached.
Your strategist owns the diagnosis.
Agents maintain the segment library as markets and templates evolve.
Your PM approves segment changes.
Agents draft the daily digest and monthly review in plain language.
A named strategist reviews before send.
Agents verify data freshness and completeness across every property.
Engineering resolves pipeline issues.
What changes for you
AI multiplies our output. It never replaces our judgment.
The questions CXOs ask us before signing, answered straight.
It reads Search Console across your entire property estate continuously, consolidating everything into one governed view, watching every segment for anomalies, explaining regressions with ranked likely causes, and delivering pre-analysed briefs to the humans who own each market. It replaces monthly export archaeology with a morning exception digest.
Dashboards show you data; the agent shows you meaning. It maintains baselines that respect seasonality, flags only deviations that matter, ranks probable causes with evidence attached, and routes each anomaly to its owning human. You review decisions, not charts.
That is what it is built for. Multi-property, multi-market, multi-brand estates are the core use case: consolidation with deduplication and normalised metrics, API-scale data handling, and per-market ownership so alerts land with the right person, not in a shared inbox.
A deviation from the segment's own seasonal baseline beyond thresholds we agree with you: clicks, impressions, CTR, or position moving in a way that matters, filtered for noise like known weekly cycles and data freshness artefacts. Severity classes decide who gets woken up and who simply sees it in the digest.
By assembling the suspects with evidence: query mix shifts, page-level decay, SERP feature changes, coverage issues, and seasonality, ranked by fit to the observed pattern. Your strategist gets a diagnosis to confirm or challenge, not a blank chart and a shrug.
It replaces their manual exports and first-pass triage, not their judgement. Teams using it spend their time on causes and fixes instead of consolidation, and every insight that reaches you has passed a named human review.
Because enterprise SEO is won in the exceptions: 250% organic traffic growth and 189% install growth came from catching and acting on regressions in hours across five offices, not weeks.