What is Lighthouse monitoring?

Lighthouse monitoring runs the same type of audit repeatedly and stores the results over time. Instead of a single score, you get a history that makes regressions and longer-term trends easier to see.

Is this the same as PageSpeed Insights?

NEKTIQA uses Google PageSpeed Insights to run Lighthouse audits. It adds scheduling, project organization, historical charts, run history, and release markers around those results.

Does it measure real visitors?

The monitored Lighthouse results are lab measurements produced in a controlled test environment, not real-user monitoring. That makes repeated tests easier to compare, but they should be interpreted separately from field data collected from real visitors.

Which Lighthouse data can I track?

You can follow Performance, Accessibility, Best Practices, and SEO scores, plus metrics such as LCP, CLS, FCP, and TBT. Recent detailed results can also include the experimental Agentic Browsing pass ratio and its AI-agent checks. Diagnostics, opportunities, manual checks, and passed audits remain available when provided by the report.

How often can automated tests run?

Available intervals depend on the plan. Simple supports daily and weekly schedules. Pro also supports more frequent four-hour and eight-hour schedules. Each project page can have its own setting.

Automated Lighthouse monitoring

Turn Lighthouse checks into a performance timeline

Schedule tests for the pages that matter. NEKTIQA keeps every result together, so you can see when performance changes and what to investigate next.

Run a free Lighthouse test View pricing

Analyticshttps://storefront.example

Example data

Category Score Trends

Latest Run Summary

Latest successful run

Performance

935

Accessibility

Best Practices

SEO

Agentic Browsing

2/3

Experimental

Category Score Trends

Analytics view: the latest standard scores, experimental AI-agent checks, and performance trends across recent runs.

From snapshot to signal

One Lighthouse score tells you how a page performed once. History tells you what changed.

A fast site can become slow one script, image, or release at a time. Scheduled tests create a stable record you can return to when a score moves.

Test automatically

Keep important URLs on a daily, weekly, or plan-based schedule instead of relying on manual checks.

Compare over time

Read mobile and desktop results as a trend, with manual and scheduled runs in one history.

Add release context

Place release markers on the timeline to connect a sudden change with the work that shipped.

What you can monitor

The Lighthouse signals your team already knows, kept in context

Start with the summary, then open the result that needs attention. You do not need to read a raw Lighthouse report to understand where the change happened.

Category scores and Agentic Browsing

Track Performance, Accessibility, Best Practices, and SEO from run to run, then inspect the latest experimental Agentic Browsing pass ratio for AI-agent checks.

Loading and stability metrics

Follow LCP, CLS, FCP, and TBT with their measurement history.

Mobile and desktop baselines

Keep both strategies visible without treating a desktop score as a substitute for mobile.

Diagnostics and opportunities

Open the detailed audit to find the checks and recommendations behind a weak result.

Detail view • / • Desktophttps://storefront.example

Example data

93/100

Aug 17, 2026, 09:00 AM

Performance score

0-49 — critical50-89 — needs work90-100 — excellent

Performance Breakdown

A detailed view of key metrics that show how your site loads, responds, and stays stable for users.

FCP

0.9 s

34/35

LCP

2.0 s

24/25

TBT

100 ms

9/10

CLS

0.03

25/25

2.4 s

12/15

Emulated form factorDesktop

Lighthouse version13.4.1

Localeen-US

Detail view: the metrics and audit findings behind a change in score.

A simple monitoring loop

From a URL to an explainable regression

The setup stays small enough for one person, while the history gives a wider team something concrete to discuss.

Add the pages that matter

Group pages by project and monitor the home page, landing pages, checkout, or any public URL that affects your users.

Choose a testing rhythm

Enable mobile, desktop, or both, then select an available schedule that matches how often the site changes.

Review changes with context

Use history and release markers to narrow down when a regression appeared, then open the detailed audit.

Historyhttps://storefront.example

Example data

Manual testRelease Marker

Date	Status	Perf	SEO	A11y	Best	LCP	CLS	TBT
	Success	93	97	95	98	1980ms	0.030	100ms
	Success	88	97	95	98	2470ms	0.040	160ms
	Success	85	96	94	97	2840ms	0.050	210ms
	Success	82	96	94	97	3110ms	0.060	250ms
	Success	83	96	94	97	3020ms	0.060	240ms
	Success	77	96	93	97	3610ms	0.080	330ms
	Success	70	95	92	96	4320ms	0.100	440ms
	Success	66	95	92	96	4860ms	0.120	520ms
Aug 4, 6:00 PMv2.4.0Checkout image delivery update
	Success	87	96	93	97	2580ms	0.050	170ms
	Success	89	96	93	97	2360ms	0.040	140ms

Run history: automated checks, manual tests, and releases on one timeline.

Who it helps

Useful whenever a website changes often

Product teams

Check whether a release changed the experience before a slower page becomes the new normal.

Agencies

Keep a readable performance history for several client sites and the pages that matter most to each one.

SEO and marketing teams

See technical quality changes without waiting for the next manual audit or translating a raw report first.

Questions

Lighthouse monitoring FAQ

Start with one page

Create your first performance baseline today

Run a free Lighthouse test now. When you are ready for a trend instead of a snapshot, add the page to a monitoring schedule.

Run a free Lighthouse test View pricing

Turn Lighthouse checks into a performance timeline

Latest Run Summary

One Lighthouse score tells you how a page performed once. History tells you what changed.

Test automatically

Compare over time

Add release context

The Lighthouse signals your team already knows, kept in context

Category scores and Agentic Browsing

Loading and stability metrics

Mobile and desktop baselines

Diagnostics and opportunities

Performance score

Performance Breakdown

From a URL to an explainable regression

Add the pages that matter

Choose a testing rhythm

Review changes with context

Useful whenever a website changes often

Product teams

Agencies

SEO and marketing teams

Lighthouse monitoring FAQ

Create your first performance baseline today

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