The Web Filter and &udm=14: Ranking in Traditional Blue-Link Results
In the SEO landscape of 2025, a new concept came to the fore: the “Web filter”, technically known as the &udm=14 parameter. It lets Google users view classic web results instead of AI Overviews…
⏱️ Reading time: 6 min · 📁 Category: Digital Marketing & SEO Strategies
In the SEO landscape of 2025, a new concept came to the fore: the “Web filter”, technically known as the &udm=14 parameter. It lets Google users view classic web results instead of AI Overviews (AIO) summaries and zero-click information boxes. Technology publications such as Tom’s Guide describe it as a clean, AI-free search experience. This renews competition among brands for traditional blue links.
1️⃣ What is a "Web" Filter and Why Is It Back?
While Google tested AI-enabled search results (AIO, SGE), some of the users were unhappy with these summaries. Therefore, at the end of 2024, the "Web" filter was activated - a search view that only shows classic organic links. The &udm=14 parameter can be manually activated when added to the browser URL.
- A SERP without AIO: Only websites, titles and descriptions appear.
- Removes zero-click elements: Maps, shopping, knowledge panels and snippets are disabled.
- Traditional SEO returns: Titles and meta descriptions become decisive again.
2️⃣ Title & Snippet Engineering: New Visibility Area
The way to gain visibility in the "Web" filter goes through the production of titles and descriptions that clearly respond to user intent. Now the goal is to impress not only the algorithm, but the user who makes the filter selection.
- Title optimisation: Highlight the main benefit in 55–60 characters. Example: “What is Privacy Sandbox? The new advertising measurement standard in 2025”.
- Snippet engineering: Within the first 160 characters, there should be an "answer + confidence element".
- Short URL structure: Formats such as /konu-adi/ or /rehber/ increase CTR in filtered results.
- First paragraph value: Google usually takes the first paragraph, not the meta description, in the Web filter.
3️⃣ User trends: Bypassing AIO
User tests in 2025 show growing debate about AIO reliability. In fields where accuracy is critical, such as technology, law and medicine, users prefer the Web filter to AIO.
- Behavior motivation: Users want to see "real resource rather than AI summary".
- Opportunity for brands: Creating a "safe source" identity with long-form content and expert references.
4️⃣ KPIs: Measuring Web Filter Performance
SEO performance is being redefined through traditional visibility metrics. Web-filter visibility represents a brand’s real organic reach.
- Web-filter visibility share: For how many keywords does your brand appear in traditional SERPs?
- CTR (Click-Through Rate): Increase in clicks after title/snippet optimisation
- Position stability: ranking consistency in Web view compared to AIO results
- Impression share: Percentage of organic impressions under the Web filter
5️⃣ SEO Strategy in the Age of the "Web" Filter
After 2025, SEO will split into two approaches: AI Visibility SEO (being cited in AIO) and Web Visibility SEO (traditional blue-link dominance). Brands combining both retain their visibility advantage.
- Structured data: Schema.org use provides a signal of confidence in both AIO and Web view.
- Meta title consistency: Note content compliance between AI and classic search results.
- Expert signature: Web filter users rely more on "human production" content.
- Quality backlink profile: Domain authority in web filter is still a key determinant.
SEO Focused Keywords
Terms such as "Web filter SEO", "&udm=14 Google", "classical SERP optimization", "AIO by-pass", "2025 blue link strategy" are among the new SEO themes that stand out in the search trends of 2025.
Conclusion: Traditional blue links survive in the AIO era, with a renewed role. The Web filter reflects users’ desire to return to original sources. B10’s Dual Visibility SEO Framework enables maximum visibility in both AI Overviews and Web-filter results.
Learn about Dual Visibility SEO FrameworkSources and related documents
These documents provide references for the methods and rules discussed in this article.
