Does Google's Speed Update really favor AMP sites?

What does "agnostic to technology" really mean?

Google measures the speed perceived by the end user, not the technical infrastructure that produces it. Crawling and evaluation focus on actual performance metrics: loading time, interactivity, visual stability.

It doesn't matter if you're using AMP, vanilla JavaScript, React, Vue, WordPress, or pure static HTML. Only the result matters: does your page load quickly on 3G mobile? Does it respond quickly to interactions? The technical question is secondary.

Is AMP losing its relevance for mobile SEO?

AMP remains an effective optimization framework, but it is no longer an algorithmic prerequisite. Before this clarification, many SEOs assumed that AMP provided an intrinsic boost to mobile ranking.

That's not the case. AMP makes it easier to achieve a fast site due to its strict constraints (limited CSS, controlled JavaScript, native lazy loading), but a skilled developer can achieve the same performance without AMP. The real difference lies in the ease of implementation, not in a hidden algorithmic advantage.

How does Google measure this speed "on the user's device"?

Google collects ground-level data via Chrome User Experience Report (CrUX), which aggregates millions of real user sessions from Chrome. These RUM (Real User Monitoring) metrics capture performance in real conditions: variable networks, diverse devices, multiple locations.

This approach sharply contrasts with synthetic lab tests. A site may score 100/100 on PageSpeed Insights but show catastrophic performance in real conditions if the server infrastructure falters under load or if the CDN is poorly geographically configured.

• Backend technology does not directly influence ranking: PHP, Node.js, Java, Python are equivalent if the final speed is the same
• AMP does not provide any hidden algorithmic bonus beyond the speed it enables
• Ground-level CrUX data takes precedence over lab-based synthetic scores
• A poorly optimized static site will be penalized just as much as a slow dynamic site
• Server and CDN optimization matter as much as front-end optimization

Is this statement consistent with real-world observations?

Yes, and CrUX data confirms it. Well-optimized WordPress sites (WP Rocket, Cloudflare CDN, WebP images) consistently outperform poorly implemented AMP setups in mobile SERPs. The correlation between real speed and rankings is observable, regardless of the technical stack.

However, an important nuance: AMP retains an advantage in specific SERP features like the Top Stories carousel (until its gradual opening to non-AMP). Confusing traditional organic ranking with eligibility for rich features remains a common mistake among clients.

What misconceptions does this clarification dispel?

First myth: "AMP is mandatory for mobile SEO". False. Speed is mandatory, AMP is just one of many ways to achieve it. Many e-commerce sites have abandoned AMP after realizing their optimized custom stack performed better.

Second myth: "Modern JavaScript frameworks are inherently bad for SEO". False as well. Well-implemented React, Vue, or Angular (SSR, intelligent lazy loading, code splitting) can deliver excellent performance. The issue comes from poor implementation, not the framework itself.

Where is this statement lacking precision?

Google remains vague about the exact thresholds for penalties. "Slow speed" does not have an official numerical definition, even though the Core Web Vitals have established benchmarks since then. [To be verified]: the exact weighting of speed in the overall algorithm remains unknown.

Another gray area: how does Google arbitrate between an ultra-fast but irrelevant site and a slow but authoritative site? Speed remains one factor among others, and its relative weight varies depending on the query, intent, and competition. Claiming that optimizing from 3s to 1.5s guarantees a ranking gain is overly simplistic.

What should you prioritize auditing in your current infrastructure?

First, measure your real CrUX metrics via Search Console (Core Web Vitals report) or PageSpeed Insights. Synthetic Lighthouse scores are useful for diagnosis, but Google ranking uses ground-level data. A significant gap between the two indicates an infrastructure problem (server, CDN) rather than front-end code.

Next, identify bottlenecks by page type: homepage, product pages, blog articles. A site can perform excellently on static pages but collapse on dynamic pages with heavy database queries. Technological neutrality means no technical excuse will be accepted by the algorithm.

Should you abandon AMP if you've already implemented it?

Not necessarily. If your AMP implementation works and delivers good performance, there's no problem maintaining it. The cost of switching back to a non-AMP version (redirects, testing, redesign) may exceed the benefit.

However, if you are considering AMP solely for a hypothetical SEO boost, save that development time. Instead, invest in optimizing your existing stack: image compression, native lazy loading, code splitting, aggressive caching, efficient CDN. The ROI will be the same or even higher, with fewer technical constraints.

How can you check that the chosen optimization really impacts ranking?

Segment your pages by CrUX performance level (good / needs improvement / poor) and cross-reference with changes in rankings over 3-6 months. Control for other variables: no simultaneous content redesign, no parallel link-building campaigns, stable seasonality.

Let's be honest: isolating the pure impact of speed remains complex in a real environment. Sites that improve speed often simultaneously initiate other optimizations (enhanced UX, reduced bounce rate, increased session time) that also influence ranking. Speed rarely acts alone; it is part of a set of correlated user signals.

• Audit real CrUX metrics via Search Console, not just synthetic Lighthouse scores
• Test performance across various types of devices and real connections (3G, 4G, Wi-Fi)
• Compare performances by page template (homepage vs product pages vs articles)
• Document the current technical stack and identify potential optimizations without redesign
• Monitor the joint evolution of speed/rankings on a representative sample of pages
• Prioritize quick wins (image compression, lazy loading) before heavy redesigns