TEARDOWN 34 · REVIEWED 2026-08-20
Diib
Diib connects to a website's analytics, rankings, social accounts, and site-speed data, then rolls them into a single daily 'Health Score' with a prioritized to-do list. It markets the score as an 'advanced predictive algorithm,' but doesn't publish what the algorithm actually is or exactly where every input comes from.
Diib's 'Health Score' combines already-free data — Google Analytics-style traffic, search rankings, PageSpeed, and social platform APIs — into a weighted composite whose formula, model type, and competitor-benchmarking method are never disclosed, meaning the real product is the integration and monitoring, not a proprietary dataset behind the number.
What you lose building it yourself
- ✕The scheduled, all-in-one dashboard pulling traffic, rankings, social, and site-speed data into one login
- ✕Automated day-to-day alerts (RankGuard) when a tracked ranking or metric drops
- ✕Competitor tracking against up to 6 rivals in one view (Pro)
- ✕Live access to a human 'Growth Expert' for strategy questions (Pro plan)
Why people still pay
A one-off script can compute your own version of a health score; Diib's paid product is running that scoring, alerting, and competitor benchmarking automatically every day across a dozen data sources, plus live access to a human 'Growth Expert' for strategy questions — an ongoing service a static script doesn't replicate.
AN ANALYTICS-STITCHED SCORE
An AI coding tool can pull Google Analytics and Search Console data via their free APIs, add a PageSpeed Insights call, and combine them into your own weighted 0-100 score — a realistic weekend build. Diib's own scoring weights, seasonality adjustment, competitor benchmarking, and human Growth Expert access aren't published or replicable from outside.
StackGoogle Analytics Data API (GA4) + Google Search Console API (both free) for traffic/rankings · Google PageSpeed Insights API (free) for speed/Core Web Vitals · SQLite or a spreadsheet to store daily snapshots and compute your own weighted score.
Build a Python script that connects to a site's Google Analytics 4 (GA4 Data API) and Google Search Console API (both free with OAuth) and pulls: sessions, bounce rate, and a 30-day organic click/impression trend. Add a call to Google's free PageSpeed Insights API for the homepage's mobile performance score. Combine the three into a single 0-100 'health score' using a simple weighted average you define (e.g. 40% traffic trend, 30% search visibility, 30% site speed), store one row per day in a local SQLite database, and print a week-over-week delta.
Similar tools
Free alternative: Google Search Console + Google Analytics (GA4) — free and official — gives you the same raw ranking, traffic, and search-visibility data Diib's score is partly built on; it has no composite score, no competitor benchmarking, no social/local monitoring, and no alerting layer, all of which are what Diib actually bundles.
QUESTIONS
Is Diib's Health Score based on a proprietary algorithm or trained model?
Diib markets it as an 'advanced predictive algorithm' but publishes no methodology, weighting, or model type anywhere on its site — treat the underlying scoring as an undisclosed, likely rules-based formula rather than a confirmed machine-learning model.
Is there a free plan?
Yes — Diib's Free plan includes a daily Health Score plus limited monitoring, keyword, and backlink access at $0/mo; the $30/mo Pro plan adds full competitor tracking (up to 6 rivals), weekly snapshots, RankGuard alerts, and live human Growth Expert access.
Where does Diib's Domain Authority figure come from?
'Domain Authority' is Moz's own trademarked metric name, which suggests Diib is pulling this specific number from Moz's data rather than computing an equivalent figure in-house — Diib's own pages don't confirm this directly, so treat it as a reasonable inference, not a confirmed fact.