SEO data in one connected set
Data-driven SEO fails on plumbing, not on ideas. The Data Hub joins every source to the same pages and queries, so an analysis starts from one data set instead of four exports.
Tools in this part of the platform
What the SEO data set contains
- Search Console: clicks, impressions, CTR and average position by query, page, country and device.
- Google Analytics 4: sessions, engagement and key events for the same landing pages.
- Site crawl: response codes, canonicals, titles, meta descriptions and internal links.
- Sitemap and robots: which URLs you declare important and whether they answer.
- SERP and AI visibility: how the result looks before the click.
- Business metrics: revenue, margin and goals attached to pages and queries.
Why joined data changes the answer
Separately, each source tells half a story. Search Console knows a page lost clicks but not whether the visitors who did arrive converted. GA4 knows the conversion rate but not which query produced the visit. Joined on the same URL, the two answer the question neither can answer alone.
SEO data analysis also depends on knowing what you are missing. Rare queries are filtered out, GA4 drops sessions blocked before the script loads, and a crawl only sees what it can reach. The hub shows coverage and freshness next to the numbers, so an estimate is never mistaken for a fact.
That is the difference between a dashboard and data analytics for SEO: a dashboard restates what each tool already said, while a joined data set lets you attribute a change to a cause.
Getting the data out again
Nothing is locked in. Any view exports to CSV for a spreadsheet, and the same data set feeds Google Data Studio SEO reports, BigQuery or your own notebook through the SEO data API.
Teams that already run a warehouse usually keep it: the hub is where the sources are reconciled, not where your reporting has to live.