How does iDBQuery help an SEO analyst?
An SEO analyst can use iDBQuery to analyse Search Console, analytics and crawl data in plain language and get cited answers in seconds, without exporting to spreadsheets. It joins those exports into one live model, so tracking rankings, clicks and content performance no longer means wrestling with row limits and pivot tables.
SEO data is big, messy and split across Search Console, analytics and crawl exports — which is why so much of the job is spreadsheet wrangling. iDBQuery connects those sources into one live model and answers in plain language, citing every figure back to the source.
Questions an SEO analyst asks iDBQuery: - Which pages lost the most organic clicks month over month, and for which queries? - What is the average position and click-through rate for our top 100 landing pages? - Which URLs get impressions but almost no clicks, sorted by opportunity?
Search Console and analytics exports load as CSV or through iDBQuery's API connector, and folders of exports can be ingested together, so you're not capped by spreadsheet row limits. Every answer cites the exact rows, and iDBQuery shows the SQL it wrote so you can verify the logic. Ask a follow-up and it keeps context, letting you go from a traffic-drop headline straight into the affected queries. Turn recurring checks into a live dashboard and export findings to a shareable report — so you spend your time on strategy, not on VLOOKUPs.
Updated 2026-06-22