Monitor Lighthouse performance across every important URL, compare scheduled runs, and get alerts when pages become slower or scores begin to decline.
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Website performance monitoring is the continuous process of testing important pages, storing the results, and tracking how performance changes over time. Unlike a one-time speed test, monitoring creates a historical baseline for every URL and helps teams detect changes that would otherwise remain hidden between occasional audits.
psiLynx runs scheduled Lighthouse audits on mobile and desktop, compares results between runs, and highlights the pages where performance scores or supporting lab metrics have changed. Teams can use this history to investigate regressions, check whether multiple pages are affected, and verify whether a later fix improved the result.
Monitor Lighthouse lab results over time and view available CrUX field data separately. Free to start, with no credit card required.
Website performance rarely fails in one dramatic moment. More often, it changes gradually as new scripts, images, components, tracking tools, fonts, and third-party services are added to the site. A page can remain functional while becoming noticeably slower over several releases.
psiLynx keeps the results of scheduled Lighthouse runs so you can see whether performance is stable, improving, or declining. Instead of relying on a current score without context, you can compare it with previous results for the same URL and device profile.
A performance regression does not always break the website. The build can pass, QA can approve the release, and every page can continue to work while loading or responding more slowly than before.
Without continuous monitoring, the change may remain unnoticed until traffic, engagement, conversion rates, or user complaints draw attention to it. By then, several additional releases may have reached production, making the original cause harder to isolate.
psiLynx repeats Lighthouse audits for the same URLs, stores every run, and compares the results over time. When performance changes, you can see which pages were affected, when the change first appeared, and whether it remained visible in later runs.
Import pages from a sitemap or CSV file, or paste a custom URL list. Monitor the entire site or select representative pages from each important template.
Test the selected URLs on mobile and desktop using a consistent schedule. Repeated audits create a comparable performance history for each page.
Compare current and previous runs to find pages where Lighthouse scores or available lab metrics declined. Review affected URL groups to determine whether the change is isolated or repeated across a template.
Notify the relevant recipients when a monitored result declines. After the problem is addressed, run the audit again to confirm whether performance recovered.
Run Lighthouse audits daily, weekly, or on another available schedule. Regular checks create a consistent history without requiring someone to remember to test the same pages manually. Teams using the psiLynx API can also start a new run from an external workflow.
Select two runs and compare results for the same URLs and device profile. Exact deltas show which pages improved, remained stable, or became slower between the selected checks.
Receive a clear summary of the affected URL, device profile, changed result, and the run where the decline first appeared. Open the comparison to investigate the change in context.
A site-wide average can hide serious problems on individual pages. The homepage may remain stable while product pages, category pages, articles, or localized landing pages become slower after a website change.
psiLynx stores Lighthouse results at the URL level, allowing teams to compare pages individually and review patterns across related URL groups. This makes it easier to identify whether a regression affects one page, one template, or a larger part of the website.
Mobile and desktop Lighthouse results can move in different directions. A change that has little effect under desktop test conditions may create a much larger decline on mobile, where CPU and network constraints are more demanding.
psiLynx stores mobile and desktop results separately for each URL. This allows teams to compare the same page across device profiles and avoid treating one desktop score as evidence that the complete website is performing well.
Lighthouse and CrUX answer different performance questions. Lighthouse provides controlled lab tests that can be repeated for every imported URL. These results are useful for scheduled monitoring, technical diagnostics, and comparisons between runs.
CrUX provides field data collected from real Chrome users. It can include LCP, INP, and CLS for URLs or origins that meet Google's data thresholds. Field data reflects real user experience, but it is not available for every page and does not update like a scheduled Lighthouse audit.
psiLynx keeps Lighthouse monitoring results and available CrUX field data in the same project while presenting them as separate data sources.
| Lighthouse monitoring | CrUX field data |
|---|---|
| Controlled lab testing | Aggregated real-user data |
| Available for every imported, testable URL | Available only when Google has sufficient data |
| Can run on a schedule | Updated according to the CrUX data cycle |
| Useful for detecting changes between audits | Useful for understanding real-user experience |
| Provides lab metrics and diagnostics | Provides field LCP, INP, and CLS |
A monitoring dashboard is useful only when someone remembers to open it. Alerts bring important changes to the team instead of leaving them buried in a report.
When psiLynx detects a qualifying decline, the notification provides enough context to begin an investigation: the affected page or page group, the device profile, the changed result, the size of the difference, and the run where the change first appeared.
If you know when a website update reached production, select the last monitoring run before that release and the first comparable run after it. The comparison shows which monitored pages and Lighthouse results changed during that period.
This does not automatically prove that the release caused every difference. Performance can also change because of server response times, third-party scripts, external resources, dynamic content, or normal Lighthouse variability. Repeated results and affected page patterns provide stronger evidence than a single score change.
A one-time performance test shows how one page performed during one audit. Continuous monitoring repeats comparable tests, stores the history, and helps teams recognize changes that appear after later website updates.
Technical SEO teams often audit performance during a migration, redesign, or release and then move on to other work. The problem is that website performance continues to change after the audit. New templates, scripts, tracking tools, third-party services, and content updates can introduce regressions at any time.
Continuous monitoring gives SEO and development teams a shared performance history for important landing pages. It helps them identify affected URL groups, investigate changes before they remain unnoticed for weeks, and confirm whether technical fixes improved the result.
What teams ask before setting up continuous monitoring.
Import your URLs, run scheduled Lighthouse audits on mobile and desktop, and compare performance over time. Detect regressions earlier and verify whether later fixes improved the result.
Free plan available. No credit card required.