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Since September 14, 2025, Google has removed the n=100 parameter from search results, a change that profoundly disrupts the functioning of SEO tools such as Semrush. This removal now requires ten times as many queries to obtain the same data, heavily impacting operational costs and complicating the comprehensive analysis of search results. In light of this transformation, Semrush reveals the major challenges SEO professionals face in maintaining the quality and reliability of their analyses.
On September 14, 2025, Google quietly removed the n=100 parameter from search engine results pages (SERPs), profoundly disrupting the functioning of SEO optimization tools such as Semrush. This technical change now forces these platforms to multiply their queries tenfold to obtain the same data, causing an explosion in operating costs and forcing the industry to rethink its analysis methods. In this article, discover the major impacts of this decision on the SEO ecosystem and how Semrush is adapting to this new reality.
What is the role of the n=100 parameter in SEO tools?
Until September 2025, the n=100 parameter allowed Semrush and other SEO tools to access the top 100 results of a Google search in a single query. This feature was a cornerstone for fast and efficient data collection, focused on in-depth ranking analysis, keyword research, and large-scale competitive intelligence.
By removing this option, Google has significantly slowed down the information retrieval process. To obtain these 100 results, Semrush must now perform ten separate queries, multiplying by ten the volume of requests sent to Google's infrastructure and, consequently, the costs associated with these operations.
The operational consequences for Semrush and the SEO industry
This technical change has a significant impact on Semrush's operational structure:
- Operational costs multiplied by ten: The new constraints require more resources, leading to a significant increase in data processing expenses.
- Increased collection times: Performing multiple queries instead of a single one adds significant latency to the analysis feedback.
- Complex technical adaptation: Semrush had to quickly deploy workarounds to maintain service and minimize the impact on its users.
As stated in Semrush's official documentation, the company is currently working on long-term solutions that will limit these inconveniences while providing a smooth user experience.
How Semrush guarantees the continuity and reliability of its services
Despite the removal of the parameter, the platform ensures that the most crucial data remains intact. In fact, the most widely used results—particularly positions in the top 10 and top 20—remain stable and relevant for tracking SEO campaign performance.
To compensate for the increased volatility of data beyond these positions, Semrush favors an approach based on:
- Optimizing queries to limit the impact on quality.
- Transparent communication with its users.
- Increased integration of AI technologies, as presented in this article on Semrush's new AI features.
The reasons behind Google's decision and its impact on the SEO market
The removal of the n=100 parameter is part of Google's apparent desire to protect its engine from the massive automated and abusive collection of its results, which undermines the quality of service and stability of its infrastructure.
This major decision also comes amid tensions with external platforms, exacerbated by the rise of generative AI and concerns about data scraping.
The impact is not limited to SEO operators alone, but affects an entire industry, as detailed in recent analyses by Les4H and Daware.io. These major changes are forcing marketing experts to rethink their monitoring and optimization strategies.
Technical and strategic challenges for third-party SEO tools
Semrush and other players now have to contend with stricter limitations:
- Rate limiting complicates massive queries.
- Increased monitoring of automatic query patterns by Google to prevent abuse.
- The need to adopt more sophisticated architectures to circumvent these constraints, with high human and financial costs.
Some providers, such as Microsoft with the removal of its Bing Search APIs announced in 2025, are also experiencing significant price increases, which doubly complicates access to essential data for professionals.
What does the future hold for SEO platforms in the face of these changes?
Despite these constraints, Semrush is demonstrating its resilience and ability to innovate. By strengthening its offering with tools that integrate artificial intelligence and diversifying its data sources, the company is paving the way for a new era where efficiency must go hand in hand with cost control.
The rapid evolution of professionals' uses and expectations requires them to remain agile. The transformation of their toolkits, as discussed on HofyDigital, reflects this salutary shock that is driving greater integration of AI and diversification of solutions.
To keep up with the latest news on these sensitive issues and understand best SEO practices in the face of the gradual elimination of key parameters, you can consult specialized journals such as Abondance.
Operational impact of Google's removal of the n=100 parameter in SERPs
| Aspect affected | Consequences for Semrush |
|---|---|
| Number of API requests | Multiplied by 10, from one to ten requests to obtain 100 results |
| Operational cost | Significant increase in costs by a factor of 10 |
| Data performance | Maintained reliability for the top 10 and top 20 results |
| Visibility of results beyond the top 20 | Less stable, used for additional analysis |
| Technical architecture | Need to execute several fragmented queries for the same amount of data |
| Responsiveness to changes | Rapid implementation of temporary solutions to limit disruption |
| Strategic consequences | Adaptation of business models and possible price adjustments |
| Technical constraints | Limitations imposed by Google anti-scraping complicating optimization solutions |
| Impact on users | Critical data available, but with risk of instability on extensive data |
| Long-term outlook | Search for new methods to contain costs and guarantee quality |
On September 14, 2025, Google removed the valuable n=100 parameter that allowed up to 100 search results to be displayed on a single page. This decision has a profound impact on how Semrush and other SEO platforms collect SEO data. Now, obtaining these 100 results requires ten times as many queries, which drives up operating costs and disrupts the practices of SEO professionals. Semrush has responded quickly by deploying temporary measures to limit this disruption while preparing sustainable solutions.
A major change in access to SEO data
For years, tools such as Semrush have used the n=100 parameter to optimize data collection by making only one query per page displaying 100 results. Its removal by Google now forces these platforms to multiply calls, making 10 queries to extract the same 100 results. This technical change has a direct impact on costs, performance, and server load.
Semrush confirmed this reality in an official statement, emphasizing that this change represents a major challenge for all rank tracking tools, but also assured that it has already implemented temporary solutions to preserve essential functions without any significant interruption.
Strategic repercussions for digital marketing professionals
The removal of this parameter comes at an already tense time for marketers, who are facing rising advertising costs on Google Ads and increased volatility in search results. For those who rely on Semrush to analyze large volumes of keywords and track the competition, this technical constraint means rethinking the management of budgets and subscriptions to these tools.
While data for the top 10 results remains reliable and accessible, collecting data beyond the top 20 is more unstable, limiting the depth of strategic analysis. Agencies and consultants will likely have to adjust their services to absorb these new costs while maintaining the quality of their reports.
A significant technical and financial impact
The increase in requests to retrieve the same data is transforming the technical architecture behind Semrush. The volume of API requests is skyrocketing, resulting in a significant increase in infrastructure and access management costs. This phenomenon is forcing Semrush and its competitors to consider price revisions or modified offerings to ensure their viability in the face of these increased costs.
This constraint adds to other recent challenges in the SEO world, including the reduction of Bing APIs and the rise of AI features that are profoundly changing the online search landscape, as recently highlighted in a study on Google AI Overviews.
Semrush faces a future of adaptation and innovation
Despite these obstacles, Semrush remains a major player in the industry and is banking on its portfolio of innovative AI-based products to continue offering powerful tools. Their AI Toolkit, launched in early 2025, is growing rapidly and effectively complements traditional analysis, allowing their users to optimize their SEO activity despite market upheavals.
The integration of features such as SearchGPT into rank tracking tools demonstrates Semrush's commitment to anticipating technological developments and supporting its customers in their digital transformation.
Encouraging temporary solutions and a commitment to transparency
Semrush emphasizes its commitment to transparency with its users in the face of these changes. Despite the complexity of the situation, their communication is clear: they are supporting professionals through the transition and adjusting their infrastructure to ensure data reliability, particularly in high-value-added areas such as top 10 positions.
Alternative solutions, although limited, are being explored to ultimately avoid performance degradation and uncontrolled cost increases. To keep up with technical issues in the sector, it is useful to regularly consult specialized sources such as SEO-News or sector analyses on Olivier Beining.
- Removal of the n=100 parameter by Google on September 14, 2025
- Tenfold increase in the number of queries needed to obtain 100 results
- Significant increase in operating costs for Semrush and other SEO tools
- Maintenance of data reliability for the top 10 results
- High impact on the collection of results beyond the top 20
- Technical adaptation with temporary solutions in place
- Technical constraints limiting workaround strategies
- Increased pressure on the business models of SEO tools
- Risk of market consolidation benefiting major players
- Need to integrate AI to enrich functionality and compensate for the loss
On September 14, 2025, Google removed the n=100 parameter from search engine results pages (SERPs), a feature that allowed 100 results to be displayed on a single page. This decision has a profound impact on SEO tools, particularly Semrush, which uses this parameter to efficiently retrieve search data. Now, retrieving the same results requires ten times as many queries, leading to a drastic increase in operational costs. These changes require SEO players to make strategic adjustments in order to continue providing accurate analysis while controlling costs. Here are my recommendations for navigating these upheavals.
Understanding the technical and economic impact on SEO tools
The removal of the n=100 parameter increases the number of queries needed to access the top 100 results of a Google search tenfold. This technical change leads to exponential operational costs, as each additional query consumes server resources, generates traffic, and must comply with Google's limits to avoid being blocked.
For platforms such as Semrush, which process millions of queries per month, this increase directly impacts profitability and service quality. The first step is therefore to conduct a thorough audit of the current costs associated with data retrieval and to model future costs according to different query management scenarios.
Adapting the data collection strategy
Faced with the proliferation of queries, it is becoming essential to optimize the way search data is collected:
- Segment requests to prioritize the most critical data, particularly the top 10 to 20 results where most organic traffic is concentrated.
- Use smart caching techniques to avoid unnecessarily burdening Google with redundant queries, reusing recent data whenever possible.
- Implement a prioritization system based on customer needs: some keywords or domains deserve closer monitoring, while others can be observed less frequently.
Good volume management will prevent uncontrolled cost inflation and maintain a high-performance, reliable service.
Explore alternatives to direct SERP retrieval
With reduced direct access to the top 100 results, it makes sense to consider other sources or methods to feed SEO analyses:
- Use official APIs, such as the Search Console API. Even though they provide limited data, they guarantee legality and stability of access.
- Integrate external data from social media, alternative search engines, or content platforms to diversify and enrich positioning and visibility analysis.
- Use artificial intelligence and machine learning to predict certain trends based on the partial data available, thereby reducing dependence on exhaustive queries.
Maintain increased transparency with customers
This change leads to a more complex offering and possible pricing changes. It is crucial to communicate clearly with customers about:
- The reasons for technical adjustments and their impact on the quality and frequency of the data provided.
- The measures taken to limit the negative impact on their SEO strategies.
- The options available according to their needs and budgets, by offering flexible packages.
This transparency reassures customers, builds trust, and makes it easier to tailor services to their priorities.
Anticipating changes in the SEO landscape
The removal of the n=100 parameter is part of Google's broader effort to protect its infrastructure and limit automated scraping. This trend is likely to continue, requiring continuous monitoring and constant adaptation of tools:
- Monitor changes in API restrictions and data access.
- Invest in the development of new AI-based features to compensate for the reduction in raw data.
- Strengthen collaboration with other SEO players to share best practices and innovative solutions.
By taking a proactive stance, it will be possible to turn these constraints into opportunities to strengthen the offering and added value of the solutions provided.
FAQ on Google's removal of the n=100 parameter in SERPs and its impact on Semrush
Q: What is the n=100 parameter in Google search results?
A: The n=100 parameter allowed 100 search results to be displayed on a single page, facilitating the massive and efficient retrieval of data by SEO platforms such as Semrush.
Q: When did Google remove this parameter?
A: The n=100 parameter was removed on September 14, 2025, profoundly changing the way Semrush and other tools access data from results pages.
Q: How does this removal impact Semrush?
A: This removal now forces Semrush to make ten times more queries to obtain the same 100 results, significantly increasing operational costs and complicating technical processes.
Q: What technical challenges does this change cause?
A: Semrush faces technical overload with the increase in queries, increased risks of limitations related to automated traffic, and the need to manage sophisticated architectures to distribute these numerous queries while avoiding Google blocks.
Q: Does this impact the quality of the data provided by Semrush?
A: The data for the top 10 results remains reliable and available. Positions beyond the top 20 may see more fluctuating visibility, so this information should be used more as a complementary indicator.
Q: Why did Google remove this parameter?
A: Google seeks to protect its search infrastructure from automated scraping and limit massive data extraction, particularly in light of the growth of AI-generated content.
Q: What alternatives have Semrush and other SEO tools considered?
A: Semrush is exploring strategies such as distributing queries across different IP addresses, using official Google APIs, and integrating AI solutions to compensate for the loss of direct access to 100 results per query.
Q: How does this affect digital marketing professionals?
A: The increased costs of obtaining SEO data translate into greater budgetary pressures, forcing some players to reconsider their subscriptions to tools such as Semrush, despite the critical importance of these analyses for their strategies.
Q: Has Semrush communicated a roadmap for adapting to these changes?
A: Yes, Semrush has implemented temporary solutions to minimize disruption, is actively working on long-term alternatives, and continues to integrate AI-powered features to strengthen its SEO tools.
Q: Will this transformation change Semrush's business model?
A: It is likely that these changes will require a review of pricing models in the SEO industry, particularly at Semrush, in order to absorb the increased costs of data collection while maintaining service quality.