Google’s Ranking Formula Has Two Halves — and Most SEOs Ignore One of Them

Most SEOs spend all their time on content quality, backlinks, and technical SEO.

That’s half the equation. Literally half.

Court documents from the DOJ antitrust trial revealed that Google’s ranking architecture runs on two top-level signals: Q* (Quality) and P* (Popularity). Two pillars, weighted together, producing the final ranking.

Quality is the side the industry knows well — content relevance, E-E-A-T, backlink profiles, page speed, crawlability. Thousands of blog posts and conference talks have been devoted to these factors.

Popularity is the side most people ignore. And it’s powered by something very specific.

What feeds the Popularity signal.

According to testimony and documents from the trial, P* draws directly from two sources: Chrome browser visit data and NavBoost user interaction signals.

Chrome visit data means Google is tracking which sites real users actually visit — and how often. NavBoost, as we’ve covered before, processes click-and-query data from search results. Together, these systems measure something straightforward: do real people actually engage with your site?

This isn’t a minor input. It’s a top-level ranking pillar, sitting right alongside everything the SEO industry has been optimizing for years.

Why this blind spot exists.

The SEO industry grew up optimizing for Quality signals because those were the signals Google talked about publicly. Google published guidelines about content quality. Google’s engineers gave talks about E-E-A-T. Google’s documentation focused on crawling, indexing, and content relevance.

What Google didn’t talk about publicly was the Popularity half. For obvious reasons — acknowledging that click behavior influences rankings invites manipulation. But the antitrust trial forced Google to reveal its architecture under oath, and the two-pillar structure was right there in the evidence.

The opportunity.

Think about what this means practically. If you’ve been investing heavily in content quality, link building, and technical SEO but your rankings have plateaued, you may have maxed out your Quality signals. The Popularity side of the equation — the side driven by user engagement and click behavior — might be where the untapped opportunity sits.

This is also why two sites with similar content quality and backlink profiles can rank differently. If one site generates more genuine user engagement — more clicks from search results, more return visits, longer time on site — it scores higher on the Popularity pillar. Same Quality, different Popularity, different ranking.

Where SerpClix fits.

We’ve been saying for years that CTR is a ranking factor. The antitrust trial gave us something better than our own claims: it gave us Google’s internal architecture showing that user engagement is literally half the ranking formula.

When SerpClix’s real human clickers search for your keyword and click on your listing, they’re feeding the Popularity signal directly. They’re generating the Chrome visit data and NavBoost interactions that P* uses to score your site.

You can’t optimize for a signal you don’t know exists. Now you know it exists.

SerpClix uses an army of over 400,000 real human clickers to boost your organic CTR. Get started with a free trial or log in to your dashboard to set up your next click order.

Tenga en cuenta que no existen garantías en la optimización de motores de búsqueda. Hay innumerables factores que pueden afectar las clasificaciones de los motores de búsqueda y, siendo realistas, la mayoría de los sitios deberían centrar sus esfuerzos en el SEO tradicional antes de pensar siquiera en utilizar técnicas no tradicionales como SerpClix. Todos los esfuerzos de SEO pueden implicar un elemento de riesgo. Algunas técnicas son ciertamente más riesgosas que otras. SerpClix emplea clickers humanos reales, por lo que creemos que nuestro servicio es mucho menos riesgoso que intentar utilizar métodos de clics automatizados o robóticos. Pero, como todas las estrategias de SEO, existe un elemento de riesgo porque el algoritmo de Google es desconocido y está sujeto a cambios en cualquier momento. Para obtener más información, consulte nuestras Preguntas frecuentes para compradores.