Anonymized Search Queries Skyrocket, Threatening SEO Data Accuracy

In April 2025, a significant portion of website traffic, amounting to 46.77%, originated from anonymized queries. This figure, derived from data collected before the widespread launch of AI Overviews and AI Mode, indicates a substantial increase in query anonymization compared to a 2022 study by Ahrefs, which found anonymized queries to be at 46.08%. The average, however, masks considerable variation, with some websites experiencing dramatically higher percentages of anonymized traffic. This trend is projected to worsen as search behavior evolves, particularly with the increasing length of search queries and the expansion of AI-driven search functionalities.

Google defines anonymized queries as those not issued by more than a few dozen users over a two-to-three-month period, a threshold designed to protect user privacy. This definition has drawn scrutiny for its potential to exclude a vast number of "long-tail" queries, which are specific and less frequently searched. For instance, under the EU’s Digital Markets Act (DMA), Google’s classification of anonymous queries for data sharing with competitors was set at fewer than 30 searches in 13 months by 30 separate signed-in users. DuckDuckGo’s CEO noted that this methodology omitted approximately 99% of long-tail queries. This suggests that the broader definition used by Google Search Console for its own data may exclude even more, potentially over 99%, of these niche searches.

To address this data gap, Ahrefs has developed an "Anonymous Queries Report." This tool integrates Google Search Console (GSC) data with Ahrefs’ own data to reveal search terms for which a website ranks but are not reported in GSC.

The increasing length of search queries is a significant contributing factor to the rise in anonymization. Google has removed its previous 32-word limit on search queries, now allowing searches to extend to the URL’s character limit, which can be thousands of characters. As users employ longer, more specific search phrases, these queries become less likely to meet Google’s threshold for reporting, thus falling into the anonymized category. This evolving search behavior, coupled with the inherent limitations of Google’s anonymization definition, is expected to lead to a substantial increase in the percentage of anonymized queries, resulting in less available data for website owners to understand their organic search traffic.

A comprehensive analysis by Ahrefs examined 22 billion clicks across 887,534 GSC properties, a significant expansion from their 2022 study which analyzed 9 billion clicks across 146,741 properties. The data revealed a concerning trend in anonymized queries.

A histogram displaying the distribution of anonymized queries by website shows that the most frequent percentage of anonymized queries falls between 45% and 80%. This indicates that a large number of websites are experiencing a data loss significantly higher than the reported overall average of 46.77%.

Further analysis revealed an interesting phenomenon when segmenting data by website traffic volume. Websites with average traffic levels appear to retain more data, while those with lower or higher traffic volumes tend to have a greater proportion of their queries anonymized. This suggests that sites with very niche, proprietary, or long-tail keywords are more susceptible to having their search data classified as anonymized.

The interpretation of box plots in the analysis highlights these variations. A box plot visually represents the distribution of data, showing the median, quartiles, and potential outliers. In this context, the plots illustrate the range and concentration of anonymized query percentages across different traffic tiers.

Looking ahead, the integration of AI Overviews and AI Mode in search is anticipated to further exacerbate the trend of query anonymization. Ahrefs plans to release updated data soon to quantify the impact of these advancements on anonymized query percentages, providing further insights into the evolving landscape of search data and its implications for SEO professionals.