Google editorial preferences: new tool against AI traffic drop

The context: AI search is reshaping traffic flows

Over the last eighteen months, the introduction of AI Overviews on Google Search has structurally changed user behavior. AI-generated answers hold attention within the SERP. Consequently, the number of clicks to editorial sites has significantly decreased for many categories of informational queries.

Organic traffic from informational searches has taken a serious hit across several industries. As Google rolls out more AI features—from Search Labs to built-in Gemini—this trend is only getting stronger. For publishers big and small, the issue is real and urgent.

In this scenario, Google has chosen to respond with a tool that, at least on the surface, gives publishers a certain amount of agency. However, as is often the case with new features in the Google ecosystem, reality is more nuanced than it first appears.

The new feature: how the editorial preference button works

According to reports from TechCrunch , Google is introducing a button that allows readers to tag a publisher as a preferred source. This preference is then applied across three surfaces: Search, Discover, and Google News.

Basically, a user visiting a news site can explicitly state their preference. Google will use this signal to boost that publisher's visibility in personalized search results. So, this mechanism is pretty similar to a subscription or follow system, like the ones you already see on social media.

Three key elements characterize this function:

• Multi-surface reach: the preference works on Search, Discover, and Google News simultaneously, expanding the potential impact.
• Explicit signal: unlike implicit behavioral signals, this is a direct user declaration and therefore potentially carries a different weight in the algorithm.
• Reader-side activation: the initiative starts from the user, not the publisher. This means that the publisher must actively encourage adoption.

What nobody is saying yet: unresolved issues

The feature is interesting, but it has some gray areas worth pointing out. First of all, Google hasn't clarified yet how much weight this signal has on actual rankings. We know a preference exists, but we don't know how much it counts compared to other algorithmic factors.

Furthermore, the issue of scalability remains open. A publisher with millions of loyal readers has the resources to encourage preferences. Conversely, a small and medium-sized publishing company or a brand with a structured content strategy might struggle to systematically mobilize its user base. Thus, the risk is that the tool will primarily benefit large, already established publishers.

Finally, we gotta think about privacy and personalization. Google will have to balance user preferences with its own personalization algorithms, and these two systems won't always match up perfectly. Even so, it's definitely a step in the right direction for the publishing industry.

SEO impact: what changes for online content managers

From the perspective of SEO , this new feature introduces a fresh variable into the organic visibility equation. Up until now, SEO has focused on technical, relevance, and authority signals. Now, an explicit user preference signal enters the picture, which could impact how content is distributed on Discover in particular.

Discover is already a high-potential surface for those who invest in editorial copywriting of quality. In fact, it generates traffic in a non-linear way compared to traditional search: it does not depend on a specific query, but on the perceived relevance for a given user. Therefore, an explicit preference signal could significantly amplify reach on this surface.

For those who manage strategies of Digital marketing content, the operational implications are at least three:

• Brand loyalty as an SEO lever: building a loyal reader base is no longer just an editorial goal; it becomes a measurable organic visibility factor.
• Editorial calls to action: publishers will need to integrate explicit calls to action into their content to set the preference, much like what happens with newsletters or social media follows.
• Monitoring engagement metrics: returning visitors, dwell time, and visit frequency become even more central in evaluating SEO performance.

Outlook for Italian SMEs: opportunities or an extra barrier?

For Italian SMEs with a structured content marketing strategy, this new feature is a real opportunity. Specifically, companies that have already invested in building a loyal audience—through blogs, newsletters, or niche editorial channels—are in a great position to take advantage of this feature.

However, for those starting from scratch or with a weak editorial presence, the risk is widening the gap with more established competitors. So, the time to invest in a solid content strategy is now, not six months from now. We at SHM Studio we’ve been saying it for a while: editorial quality and audience loyalty are strategic assets, not optional extras.

B2B companies, in particular, can find in this dynamic an additional reason to invest in LinkedIn campaigns integrated with an organic content strategy. In fact, the synergy between paid distribution and preferential organic traffic could generate significant compound effects in the medium term.

Similarly, those who manage e-commerce or digital retail should evaluate how to integrate this lever into their strategy of advertising on Google , taking advantage of the complementarity between paid traffic and organic preferences.

The role of AI in the new visibility architecture

It helps to look at this move by Google in a broader context. Generative AI models are reshaping the power dynamics between platforms and content creators. Google is in a tricky spot: it needs to keep making money from search using AI, but it can't afford to wreck the publishing ecosystem that feeds its models.

The editorial preference feature should therefore also be seen as a political balancing act. Google is giving publishers a tool to limit losses, while still keeping control over the distribution algorithm. So, it's a partial concession, not a hand-over of control.

For those working in field of AI applied to marketing , this dynamic confirms that artificial intelligence does not eliminate the need for quality content. On the contrary, it amplifies it: models need high-quality data, and the publishers who produce it have growing negotiating power.

What to do now: practical steps

While waiting for the feature to be officially released globally, there are some actions that marketers can start taking today. First of all, it's advisable to audit your editorial presence: how much content is published regularly? What is the visitor return rate? Are there active loyalty mechanisms in place?

Next, it is advisable to structure or strengthen direct contact channels with the audience: newsletters, push notifications, connected Google accounts. These tools become the natural vehicle to encourage setting the editorial preference once the feature becomes available.

Finally, it is worth reviewing the strategy of web presence in terms of user experience: a site offering a smooth, fast, and frictionless reading experience is the prerequisite for a reader to want to set that source as preferred. To dive deeper into these topics or evaluate a tailored strategy, the team at SHM Studio is available for a consultation .

To stay updated on Google's developments and SEO strategies, you can check out the SHM Studio blog , where we regularly publish analysis and insights.