Google Search Console adds a branded queries filter
Google has announced a new branded queries filter in Google Search Console, designed to separate branded and non-branded search traffic directly within the Performance report. The announcement was shared on the Google Search Blog, and you can read it here: https://developers.google.com/search/blog/2025/11/search-console-branded-filter.
This change matters because many teams have long depended on manually maintained query filters to estimate “brand demand” versus “discovery demand”. Google is now providing a built-in classification so you can review both sides of your search performance with less manual work.
What Google means by “branded” and “non-branded”
Branded queries
Branded queries are searches that include your brand name or close variants. Google’s classification is AI-assisted, so it can identify common misspellings, abbreviations, and brand-related product or service names. If you operate a portfolio brand, this can also include recognised product lines that users treat as brand signals.
Non-branded queries
Non-branded queries are everything else: searches where people are looking for a solution, an idea, a comparison, or a provider, but do not explicitly signal that they already want your brand. For many sites, this is the primary area for SEO growth because it represents demand capture from new audiences.
Where to find the filter in Search Console
Performance report access
The filter appears in the Performance section, within the Search results report. Once applied, the familiar metrics still apply, including impressions, clicks, average position, and click-through rate, but now you can view them through a branded versus non-branded lens.
Coverage across search types
Google indicates the filter can be used across Search Console search types such as web, image, video, and news. That is useful if brand behaviour differs by format, for example a strong brand presence on web results but weak visibility in video search.
Why this announcement is significant for SEO
It reduces the need for fragile regex-based filters
Many SEO teams build branded traffic segments using regular expressions that need constant updates as branding evolves. A built-in classifier should reduce ongoing maintenance and the risk of inconsistent reporting across teams and tools. It can also help non-technical stakeholders access brand versus non-brand performance without relying on custom views.
It separates brand strength from SEO execution
Branded clicks often rise because of offline marketing, PR, partnerships, and general market presence. Non-branded clicks tend to reflect how well your content meets search intent and how competitive your rankings are. With clearer separation, it becomes easier to answer questions such as: are we growing because more people know us, or because we are winning more discovery searches?
It sharpens forecasting and target-setting
Branded demand can be relatively stable and seasonal, while non-branded demand can be expanded through new topics, improved templates, better internal linking, and richer content. Segmenting these datasets supports more realistic SEO forecasts and helps you avoid misreading brand campaigns as search optimisation wins.
How to use the branded filter to diagnose performance
Identifying when rankings are improving but clicks are not
If non-branded average positions improve but clicks do not, you may be facing snippet competition, intent mismatch, or SERP features absorbing clicks. A practical response is to review which queries gained positions, then adjust titles and descriptions to match intent, add clearer primary answers near the top of pages, and strengthen topical coverage so the page deserves richer results.
Spotting brand demand spikes and what they imply
If branded impressions and clicks spike, it can be a signal that a campaign, news coverage, or a product launch is driving interest. SEO can support this by ensuring brand landing pages are fast, well structured, and aligned with what people search for next, such as “pricing”, “reviews”, “login”, “support”, or “alternatives”. You can also strengthen sitelinks by improving internal linking and page hierarchy so users reach key pages quickly.
Understanding cannibalisation within branded queries
Branded searches sometimes surface the “wrong” page, such as a blog post outranking a product page for a brand-plus-product query. With branded filtering, you can isolate those queries and refine internal linking, on-page headings, and page intent so the most appropriate page ranks for the branded need.
Examples of what may change in your reporting
Cleaner measurement of “discovery” growth
If your overall clicks are flat but non-branded clicks are rising, you may be gaining new visibility while branded demand dips due to seasonality or reduced marketing activity. That distinction can protect SEO teams from being judged solely on total clicks.
More accurate evaluation of content programmes
Content hubs and informational pages often drive non-branded traffic first and branded traffic later, once trust and recognition grow. Separating the two can show whether your content is truly expanding reach or simply capturing users who were already searching for you.
Questions and answers
Does this change how Google ranks pages?
No. This is a reporting and classification feature in Search Console. Rankings still depend on relevance, quality, and usefulness signals. The main change is that you can now analyse performance with clearer brand segmentation inside Google’s own interface.
Will the filter perfectly classify every brand-related query?
Not necessarily. Classification systems can mislabel edge cases, especially where a brand name is also a common word, or where subsidiaries, acronyms, and partner brands are involved. Treat the filter as a strong baseline, then sanity-check anomalies by drilling into example queries and pages.
How should we act if non-branded traffic is falling but branded traffic is stable?
That pattern often indicates increased competition, intent shifts, or content decay in discovery topics. Review which non-branded query groups lost impressions versus lost positions. If impressions dropped, demand may have moved and you may need new angles or fresher content. If positions dropped, you may need stronger topical depth, improved internal linking, updated information, and better alignment to what searchers want now.
How can we use branded versus non-branded data for better SEO decisions?
Use branded data to protect core journeys such as homepage, category pages, and support pages, ensuring they load quickly and satisfy navigational intent. Use non-branded data to prioritise topic clusters, create or refresh pages around high-intent queries, and improve templates so pages earn stronger click-through rates when they rank.
Practical next steps for website owners
Create separate review routines for branded and non-branded
Run two parallel checks: one that focuses on branded query performance and navigational journeys, and another that focuses on discovery queries and content competitiveness. This keeps brand demand changes from masking SEO opportunities or issues.
Align pages to intent, not just keywords
Non-branded queries frequently hinge on intent details such as “how to”, “best”, “price”, “near me”, “comparison”, or “reviews”. Use the segmented data to identify which intents are growing, then adjust page structure so the answer is clear, supported, and easy to navigate.
Use branded insights to strengthen trust signals
When branded demand rises, users often seek reassurance and next-step information. Make sure key pages include clear contact details, transparent pricing or plan information where appropriate, up-to-date policies, and strong on-page explanations that reduce friction.
What to watch over the next few months
Changes in brand classification as your product set evolves
If you add new products, rename services, or change your brand architecture, keep an eye on how branded queries trend. Classification may adapt, but it is still wise to monitor for shifts that could affect long-term comparisons.
Better conversations with stakeholders
With built-in branded segmentation, it becomes easier to discuss performance with marketing, PR, and product teams. It can clarify when growth is driven by awareness versus discovery, which supports better planning across channels and more realistic expectations for SEO outcomes.
