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Return the raw query/page/clicks/impressions/CTR/position table so you can audit every row.
Unlock GSC Data
Return the raw query/page/clicks/impressions/CTR/position table so you can audit every row.
Bucket positions and average CTR so you can spot performance gaps and prioritized clicks.
Aggregate the same metrics by day, week, or month to compare performance trends.
Summarize which URLs are publishing most often and flag pages losing traction.
Highlight queries where multiple URLs from the same property compete for the same keywords.
Split metrics between branded queries and generic terms to understand voice-of-brand dynamics.
Find missing queries when comparing two time ranges or datasets to spot lost opportunity.
Apply mappings or regex replacements to normalize URLs before aggregating metrics.
Append search volume data from DataForSEO or a CSV lookup for each query.
Flag low-performing pages that may be candidates for consolidation or removal.
Compare two periods and identify pages that lost clicks/positions over time.
List GSC pages that are missing from your sitemap so you can submit them.
Show delta metrics between two periods and sort the pages by winners or losers.
Spot queries with high word counts that may need new content clusters.
Flag queries where CTR is wildly above/below what you would expect for the given position.
Classify URLs into A/B/C/D buckets so you can prioritize work on the worst performers.
Count how many unique pages rank per day and surface volatility in the index coverage.
Track first_seen/last_seen timestamps so you know how long a URL stays visible.
Compare performance by day-of-week to highlight seasonality patterns.
Swap queries for canonical names or tag them for easier reporting.
Count how many unique queries each page ranks for across the dataset.
Group pages by classification rules and summarize the metrics per bucket.
Enrich each row with the first time this query/page showed up in the dataset.
Count the most frequent words in queries or titles while ignoring stopwords.
Return average position per date bucket so you can track editorial progress.