SEO Glossary

Largest Contentful Paint (LCP)

Why LCP matters

LCP has been an official ranking factor since 2021. Pages with an LCP below 2.5 seconds show measurably lower bounce rates and higher conversion rates. Studies show that every additional second of load time reduces conversion by up to 7%. For SEO, a poor LCP means not only lost rankings but also less crawl budget, because Googlebot moves through the site more slowly.

What exactly LCP measures

LCP measures the render time of the largest image or text block in the visible area. Typical LCP elements are: hero images, headlines in large type, CSS background images, or video thumbnails. Important: LCP changes while the page loads — the final LCP value is only settled once the DOM is stable.

Optimization: how to get below 2.5 s

Four levers determine your LCP: server response time (TTFB), render-blocking resources, resource load delay, and client-side rendering. Optimize your hosting (EU servers, CDN), inline critical CSS, preload the LCP image, use modern image formats such as WebP or AVIF, and compress images to the exact display size. mekyn does this automatically — Lighthouse 95+ out of the box.

Tools for measuring LCP

Google PageSpeed Insights, Lighthouse (in Chrome DevTools), the Chrome User Experience Report (CrUX), and the mekyn DACH CWV Tracker are the most important tools. For field data, CrUX is the gold standard — lab data from Lighthouse can deviate because it is measured under idealized conditions.

At a glance

  • Google recommendation: LCP < 2.5 s (good), 2.5–4.0 s (needs improvement), > 4.0 s (poor)
  • Introduced: May 2020, ranking factor since June 2021
  • Shown in the Core Web Vitals report in Search Console
  • Always load the LCP image with fetchpriority="high"

Frequently asked questions about Largest Contentful Paint (LCP)

What is LCP?

You can find a detailed answer in the explanation above. For practical application, we recommend our tools.

What is a good LCP value?

You can find a detailed answer in the explanation above. For practical application, we recommend our tools.

How do I improve LCP?

You can find a detailed answer in the explanation above. For practical application, we recommend our tools.

Further Resources

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