SEO · Core Web Vitals & site speed
Turn a slow template into three numbers everyone can act on.
Surgbly tracks LCP, INP, and CLS by template, prioritizes speed issues by traffic and conversion value, and verifies the numbers actually moved after a fix ships.
Prioritized by template, affected pages, traffic, and conversion value — not a generic speed score.
3 render-blocking resources found on this template.
A speed score isn't a fix — or a priority.
PageSpeed tools hand you a number and a pile of suggestions. They don't tell you which template is actually losing traffic, what's safe to change, or whether the fix worked after it shipped.
One page, but every template
A slow product page usually means every product page is slow — the fix belongs at the template level.
Suggestions without priority
Dozens of speed opportunities, no sense of which one actually affects revenue.
Field data vs. lab data
Lab scores can look fine while real users on real connections still wait.
No before/after proof
A fix ships, but nobody reruns the same measurement to confirm it actually helped.
How this feature works
From a slow template to a verified fix.
Measure by template
Track LCP, INP, and CLS for priority pages and templates, on both mobile and desktop.
Product template measured
Prioritize by business value
Speed issues ranked by template, affected pages, traffic, and conversion value — not a flat severity score.
High priority
Find the exact cause
Render-blocking scripts, oversized images, uncompressed fonts, and slow server response identified per template.
3 causes found
- Hero image serves an uncompressed 2.4MB file.
- 2 render-blocking scripts load before first paint.
- Web font loads without a fallback, causing layout shift.
Generate the fix
An implementation brief for developers, or a supported deployment for safe, validated optimizations.
Fix drafted
- 1Compress and lazy-load the hero image.
- 2Defer non-critical render-blocking scripts.
- 3Add a font-display fallback to prevent layout shift.
Verify with real data
Re-measure LCP, INP, CLS, lab diagnostics, and field data after the change — not just a rerun of the lab score.
Verified improvement
Explore it yourself
Explore the speed workspace.
Key capabilities
Everything a speed fix needs to be worth shipping.
Measurement
- LCP, INP, and CLS by template and device
- Mobile and desktop differences
- Field data preferred, lab data as diagnostic context
Prioritization
- Ranked by template, affected pages, and traffic
- Weighted by conversion value
- Slow-template detection across the site
Optimization
- Image, script, CSS, font, and render-blocking opportunities
- Cache and server-response opportunities
- Developer briefs or verified deployment for safe fixes
Business outcomes
What changes once speed work is prioritized.
Fix the template, not one page
A slow product template gets one fix that reaches every page built from it.
Work the issue that matters
Prioritized by traffic and conversion value, not a flat severity label.
Trust field data
Real-user data takes priority over a synthetic lab score that can look fine and still be wrong.
Proof the fix worked
The same measurement reruns after deployment — improvement is confirmed, not assumed.
Why Surgbly does it better
A verified fix instead of a one-time score.
Traditional
- 1Run a speed test and get a score.
- 2Get a list of generic suggestions.
- 3Guess which one actually matters.
- 4Ship a change and hope it helped.
Surgbly
- 1Measure by template and device.
- 2Prioritize by traffic and conversion value.
- 3Generate a developer brief or safe deployment.
- 4Rerun the same measurement to confirm it worked.
Use cases
Built for the moment speed becomes a business question.
Integrations
Built on the same signals Google measures.
- Google PageSpeed Insights
- Chrome UX Report
- WordPress
- Webflow
- Shopify
Questions
Answers before you have to ask.
Does this replace Lighthouse or PageSpeed Insights?
No. Surgbly uses the same underlying signals, prioritized by template and business value instead of shown as a raw score.
What’s the difference between field data and lab data?
Field data comes from real users on real connections. Lab data is a synthetic test. Surgbly prefers field data where available and uses lab data as diagnostic context.
Can speed fixes deploy automatically?
Only safe, validated optimizations under your approval policy. Anything higher-risk stays a developer brief.
How is verification different from the initial score?
Surgbly re-measures LCP, INP, and CLS with both lab and field data after the change, instead of assuming the fix worked.
Turn a slow template into a fix, not a score.
Check your Core Web Vitals by template and see the first prioritized finding.