Is it true that page speed is as crucial a ranking factor as claimed?

Is page speed a ranking signal or a technical prerequisite?

When Martin Splitt claims that page speed is "already an established ranking factor", he is simply reiterating a reality documented since the introduction of the Core Web Vitals and even before that. Page speed was incorporated as a desktop ranking signal as early as 2010, and then for mobile in 2018 with the Speed Update.

What is interesting here is the nuance: Google does not say that speed is the determining factor, but that it contributes to modeling "what constitutes a good answer". In other words, a slow but relevant site can still rank — except that two equivalent pieces of content will see the one that loads faster take the advantage.

What does Google mean by "modeling a good answer"?

Google assesses the quality of an answer through several dimensions: semantic relevance, domain authority, freshness of content, but also user experience. Page speed falls into the latter category, just like visual stability or interactivity.

Specifically, the algorithm does not just measure raw loading times. It analyzes real user metrics (CrUX data): LCP, FID, CLS. A site that quickly displays visible content but causes layout shifts will be penalized differently than a slow but stable site.

Does this statement change the game for SEOs?

No. It confirms what practitioners are already observing in the field. Sites with green Core Web Vitals statistically tend to have a better organic click-through rate and less pogo-sticking — two signals that Google can interpret as quality indicators.

What is missing from this statement is the real weighting of this factor against others like content quality or link profile. Google remains vague on this point, leaving SEOs unclear on the trade-offs between technical and editorial investment.

• Page speed is a confirmed ranking signal, not a rumor or mere UX recommendation.
• Google uses real user data (CrUX) to assess performance, not just synthetic tests.
• A slow but highly relevant site can still rank, but loses a competitive advantage against a faster competitor.
• The impact varies by query and sector — competitive SERPs are more sensitive to performance differences.
• Optimizing speed does not guarantee a rank increase, but deteriorating performance exposes one to the risk of gradual declining.

Is this statement consistent with field observations?

Yes, and this is precisely what makes it not surprising. Since the deployment of Core Web Vitals as a ranking factor, position tracking tools show clear correlations between improved metrics and visibility gains — especially on competitive queries where multiple results vie for the same positions.

However, the impact remains modulated by other signals. An e-commerce site with mediocre product pages but excellent loading times will not outperform a competitor with rich content but average CWV scores. Speed acts as a differentiator at equal relevance, not as an algorithmic bulldozer.

What nuances should we add to this statement?

The first nuance is that Google never specifies the relative weight of this factor. Saying it's "a ranking factor" does not indicate whether it represents 2% or 15% of the overall scoring. A/B tests on large sites show that speed-related rank gains are often marginal but cumulative — a few places gained on hundreds of keywords.

The second point is that the statement talks about "page speed" very generically, without distinguishing different performance metrics. A site can have excellent LCP but a disastrous CLS, or vice versa. Google does not penalize these two scenarios in the same way. [To be checked]: does the algorithm weight each CWV metric equally, or do some weigh more heavily depending on the type of content?

In what cases does this factor matter less or not at all?

On low competition queries, where few pages meet search intent, speed becomes anecdotal. Google will prefer to display a slow but relevant page rather than showing nothing. This is especially true for technical niches or very specific long-tail queries.

Another case: navigational queries where the user explicitly searches for a site (brand search). A slow official site will not be demoted in favor of a fast aggregator, as intent takes precedence over experience. The same goes for certain fresh news queries where the recency of content overrides all other signals.

What should you prioritize when auditing your site?

Start with the Core Web Vitals via Search Console and PageSpeed Insights. Identify the most strategic pages (those that generate organic traffic or conversions) and check if they meet the recommended thresholds: LCP < 2.5s, FID < 100ms, CLS < 0.1. Do not rely solely on synthetic tests — consult the CrUX data that reflects the real experience of your visitors.

Next, prioritize quick technical wins: image compression (WebP, AVIF), browser caching, CSS/JS minification, lazy loading of out-of-viewport resources. These optimizations often provide a favorable effort/impact ratio before tackling heavier projects like code refactoring or migrating to a CDN.

What mistakes should be avoided in speed optimization?

Never sacrifice content quality at the altar of performance. Removing images or text to gain 0.2 seconds of LCP can degrade user experience and conversion rates. The goal is to optimize loading of existing resources, not dilute the page.

Another pitfall: focusing solely on the homepage while Google evaluates each URL individually. A site with a fast landing page but disastrous deep pages will not achieve any overall SEO benefit. Aim for uniform optimization, or at least focus on pages that generate organic traffic.

How do you verify that the optimizations have an SEO effect?

Track the evolution of your positions on target queries before/after optimization using a rank tracking tool. But be cautious: isolating the impact of speed is complex because Google continuously adjusts its algorithms and your competitors are also evolving. Prioritize analysis over several weeks and correlate with organic traffic data.

Also monitor behavioral metrics in Analytics: bounce rate, session duration, pages per visit. An improvement in speed should translate into increased engagement, which indirectly reinforces your SEO through positive user signals. If Core Web Vitals improve but behavior worsens, there is probably a UX issue elsewhere.

• Audit Core Web Vitals via Search Console and PageSpeed Insights on strategic pages
• Prioritize high-impact optimizations: image compression, lazy loading, caching
• Verify CrUX data (real users) rather than relying solely on synthetic tests
• Optimize all traffic-generating pages, not just the homepage
• Track the evolution of positions and organic traffic over several weeks post-optimization
• Cross-check with behavioral metrics (bounce rate, engagement) to validate UX impact