SEO recommendations backed by your real data
The Learning Engine turns repeated Search Console uploads into a compounding profile of your site — so every recommendation is evidence-based, not a generic checklist.
Aggregated performance data
Every report adds to your site's profile — keywords, pages, CTR patterns, and content gaps compound over time.
Evidence-based recommendations
Suggestions are grounded in your real Search Console numbers, not generic SEO checklists.
Anomaly detection
The engine flags keywords ranking well but underperforming on clicks, and pages leaking impressions.
Privacy by design
Benchmarking uses anonymized, aggregated signals — never your identity or raw URLs shared publicly.
How it works
Upload your export
Drop in a Google Search Console Performance CSV or ZIP export.
AI parses every dimension
Keywords, pages, CTR, position, lost clicks — all computed from your actual data.
Patterns are learned
Opportunities and content gaps are aggregated into a living profile of your site.
Recommendations sharpen
Each new report refines what the engine recommends next.
Frequently asked questions
What data does the Learning Engine use?
Only the data inside your Search Console export: queries, pages, clicks, impressions, CTR, and position. Nothing leaves your account.
How is this different from a normal SEO audit?
A normal audit is a snapshot. The Learning Engine accumulates insight across reports, so recommendations improve as your site generates more data.
Will it work for a brand-new site?
Yes. Even a single export produces a full prioritized backlog; the engine gets smarter as you add more.
Find your biggest SEO opportunities in minutes
Upload your Google Search Console export and AI hands you a prioritised roadmap — lost clicks, CTR gaps, revenue leakage, and exactly what to fix first. Your first analysis is free.