Do these 3 things before closing this tab:
1Scan for outdated or missing drivers - takes under a minute2Repair Windows errors before they cause bigger problems3Fix the driver behind crashes, sound loss and screen glitchesFor a quick free check of a public page, start with Google PageSpeed Insights. It reports mobile and desktop results, pairing simulated Lighthouse diagnostics with real-user data from Chrome UX Report (CrUX) when enough data is available. Use Lighthouse to identify possible improvements, Chrome DevTools to investigate what happens during loading, Search Console to spot patterns across groups of pages, and GTmetrix for another view of the loading sequence.
These tools answer different questions, so their scores are not interchangeable. The useful next step depends on whether you need a quick overview, real-user context, hands-on debugging, or a site-wide view.
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Which free website speed tool should you use?
| Tool | Best for | What it shows | Key limitation |
|---|---|---|---|
| PageSpeed Insights | Checking a public page on mobile and desktop | Lighthouse lab diagnostics and CrUX field data when enough samples exist | A URL may have no field data; lab and field results can differ. |
| Lighthouse | Auditing a page and finding potential improvements | Automated performance, accessibility, best-practices, and SEO audits | A simulated audit does not fully represent real-user experience. |
| Chrome DevTools | Investigating page behavior and load activity | Rendering, layout, JavaScript execution, and network activity | Requires more hands-on work than submitting a URL to a hosted test. |
| Search Console Core Web Vitals report | Finding issues that affect groups of pages | Aggregated site reporting and issue tracking | It is not intended to determine the status of one specific URL. |
| GTmetrix | Reviewing a page’s loading sequence and composition | Web Vitals, Lighthouse-powered performance reporting, structure audits, a waterfall, and a visual timeline | Test setup and free-plan features can differ; check current plan details and compare like conditions. |
Pick the tool that matches the question. For a page-level overview, use PageSpeed Insights. For an interaction or a particular network request, use DevTools. For recurring patterns across many URLs, begin in Search Console and then test affected pages individually. If you want another view of page composition and loading order, GTmetrix can help.
How to read PageSpeed Insights without mixing up the data
Field data describes real users over time
PageSpeed Insights gets field data from CrUX, which summarizes real-user experience over a trailing 28-day window. Google’s documentation says the report updates daily. Field data may be available for the exact URL; if that page lacks enough samples, the report may fall back to origin-level data. If the origin also lacks sufficient samples, the report may show no field data.
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Origin-level data describes the broader site origin, not necessarily the individual page you entered. Check whether the report labels the data as URL-level or origin-level before applying it to a specific page.
Lab data is a controlled diagnostic run
PageSpeed Insights uses Lighthouse for lab diagnostics in a simulated environment. Google describes its mobile simulation as a mid-tier device and its desktop simulation as an emulated desktop with a wired connection. The datacenter location can vary among North America, Europe, and Asia. These are test conditions; they do not mean every visitor uses the same device, connection, or location.
Google’s Lighthouse score bands are 90 and above for good, 50–89 for needing improvement, and below 50 for poor. Treat these as lab-score categories, not a direct reading of every visitor’s experience or a guarantee of search ranking or business results.
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Why lab and field results can disagree
Lab data is a simulated run useful for investigating possible causes. Field data summarizes actual users’ experiences across varied devices and network conditions. The two can differ without either being wrong: one is a controlled diagnostic, while the other reflects a changing set of real visits over time.
What each tool adds to a speed investigation
Lighthouse: a shortlist of potential improvements
Lighthouse runs audits for performance, accessibility, best practices, and SEO. You can run it in Chrome DevTools, through PageSpeed Insights, from the command line, or as a Node module. Use its results to find leads for improvement, then verify the change under consistent conditions and consider whether real-user experience supports the same conclusion.
Chrome DevTools: inspect what happens during a load
When a report points to a possible issue but does not explain the page’s runtime behavior, DevTools provides a more direct view of rendering, layout, JavaScript execution, and network activity. It is the hands-on choice for tracing how a page behaves rather than relying only on a summary score.
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Search Console: identify patterns across page groups
The Core Web Vitals report helps identify issues affecting groups of pages and track them across a site. Google’s guidance recommends using an external test to check and debug a particular URL. Use the report to find a cluster worth investigating, then test representative affected pages individually.
GTmetrix: examine composition and loading order
GTmetrix offers Web Vitals, Lighthouse-powered performance reporting, structure audits, page composition, a waterfall, and a visual-load timeline. It advertises free access alongside paid offerings; check the live service for current free-tier limits. Its results are most useful when you record the test setup and avoid treating unlike device, location, or network conditions as a controlled comparison.
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Enter the target public URL in PageSpeed Insights. Review mobile and desktop separately, and note whether field data is available and whether it represents the URL or the broader origin.
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Read Lighthouse lab audits as a debugging shortlist. They suggest areas to investigate; they do not establish how every visitor experiences the page.
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If you need to understand a specific interaction, rendering issue, script, or request sequence, open the page in Chrome and inspect it with DevTools.
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If you are reviewing many pages, use Search Console’s Core Web Vitals report to find broader issue groups. Test affected URLs individually to investigate their status.
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Optionally use GTmetrix to inspect the page composition and loading timeline. Record the test configuration so later runs can be compared fairly.
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After making a change, rerun the tests with consistent conditions. Treat lab and field results separately: field experience reflects a trailing 28-day window, so it does not necessarily change in step with a single test run.
How to make comparisons that mean something
- Keep mobile and desktop separate. They represent different test contexts and can expose different problems.
- Separate lab from field data. A simulated result and an aggregation of real visits answer different questions.
- Record the conditions. Device, network, and test location can affect results, especially when comparing separate runs or services.
- Compare the same scope. A page-level result is not equivalent to origin-level data or a report grouping multiple URLs.
- Use diagnostics, not just scores. A score can flag a concern, but the audit detail or loading sequence is more useful for deciding what to investigate.
Tool interfaces, free-tier limits, account requirements, available locations, and plan features can change. Check the live service for current availability and terms.
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