SEO giant crashes: How HubSpot lost approximately 75-80% of its traffic and what that means for you – Image: Xpert.Digital
The end of clicks: Google's new AI changes everything – the HubSpot case is a warning to us all
From role model to problem case: Every marketer must now learn this lesson from the HubSpot disaster
Imagine an industry leader, practically the inventor of modern content marketing, losing three-quarters of its organic traffic in just a few months. What sounds like a nightmare scenario became a bitter reality for HubSpot, once the undisputed king of B2B search engine optimization. The dramatic drop from over 24 million to just around 6 million monthly visitors is far more than the story of a single company – it's a wake-up call for the entire digital world and perhaps the clearest sign of a fundamental revolution in online marketing.
The HubSpot case ruthlessly exposes how radically the rules of the game have changed due to Google's aggressive algorithm updates and, above all, the introduction of AI-powered "AI Overviews." The old formula for success—producing massive amounts of content to rank for as many keywords as possible—is not only outdated, it is actively penalized. We are entering a new era characterized by "zero-click searches," where Google provides the answers directly and clicking through to the actual website becomes the exception.
This article delves deep into the analysis of the HubSpot case to draw crucial lessons for the future of digital communication. We unravel why the company's once-celebrated strategy became its Achilles' heel, the role of Google's focus on thematic authority, and how artificial intelligence is forever changing the customer journey. Most importantly, we show you the specific strategies—from concentrating on core competencies and AI-optimized content structures to new ways of measuring success—that are now necessary not only to survive but to thrive in this new landscape.
The transformation in content marketing: What the HubSpot case teaches us about the future of digital communication
What happened to HubSpot and why is this relevant to everyone?
When reflecting on the developments in content marketing over the past few years, one case inevitably stands out as having made the entire industry sit up and take notice: HubSpot, a company that for years was considered a prime example of successful search engine optimization. However, between 2024 and 2025, the company lost approximately 75 percent of its SEO traffic. Monthly visitors plummeted from 24.4 million in March 2023 to just 6.1 million in January 2025. These figures are not only dramatic for HubSpot, but also symbolize a fundamental shift in how content is consumed and discovered online.
Why is this case so significant? HubSpot wasn't just any company—it was the gold standard in B2B SEO, with a Domain Authority Score of 81 and over 120 million backlinks. When even such an industry leader loses traffic so drastically, it points to structural changes that extend far beyond a single company. This case exemplifies how the rules of digital marketing are fundamentally changing under the influence of artificial intelligence.
What makes this traffic loss particularly remarkable? The numbers speak for themselves: From November 2024 to December 2024, organic traffic plummeted from 13.5 million to 8.6 million visitors – a loss of almost 5 million visitors in just one month. This trend continued until the company ultimately landed at around 6-7 million monthly visitors. For a company that had built its reputation on content marketing, this was an unprecedented collapse.
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How did HubSpot's content strategy work and why was it so successful?
To understand what went wrong, one must first examine the strategy that had led HubSpot to success for years. The company pursued what could be described as a "content game"—a mass-market approach to content creation. HubSpot published an enormous number of how-to articles, totaling 13,000 URLs in its blog alone. This strategy was based on the idea of being relevant to as many search queries as possible and thereby achieving maximum visibility.
The content covered a broad range of topics, extending far beyond the company's core competencies. HubSpot, primarily a CRM provider, published articles on topics such as famous quotes, sample application letters, resignation letter templates, and even business ideas for small businesses. This diversification of content aimed to cast the widest possible net and appeal to a diverse range of target groups.
What was the secret to this strategy's success? First of all, it actually worked—and worked very well for years. HubSpot established itself as an authority in inbound marketing, a term the company itself coined. The sheer volume of content ensured that HubSpot ranked for countless search terms, thereby continuously driving new visitors to the website. These visitors could then be converted into customers through skillful marketing.
The strategy was based on several pillars: first, the continuous production of large amounts of content; second, the optimization of this content for search engines; and third, the interconnection of the content through internal linking. HubSpot even developed its own tools for the content strategy to systematize and scale these processes. The company not only published dozens of articles per week but also focused on long-form content in the form of guides, how-to articles, and lists.
HubSpot actually lost about 75-80% of its organic blog traffic. This dramatic decline began in March 2024 and was significantly exacerbated by Google's algorithm updates in November and December 2024.
According to various SEO tools such as Ahrefs and SEMrush, HubSpot's organic traffic fell from approximately 13.5 million visitors in November 2024 to just 8.6 million in December 2024. By early 2025, traffic had dropped to only 6-7 million monthly visitors – a dramatic decline from a peak of 24 million monthly visitors in 2022.
HubSpot's blog subdomain (blog.hubspot.com) was particularly affected, losing 81% of its traffic according to SurferSEO. The main domain, hubspot.com, was less severely impacted.
Why the traffic loss occurred: Lack of thematic authority
For years, HubSpot pursued a broad content strategy, publishing content on topics far removed from its core business as a CRM platform. The most affected content included:
Famous quotes and sales slogans
Application letter examples
Resignation letter templates
Small business ideas
Affiliate programs
What role did Google's algorithm change play in HubSpot's decline?
HubSpot's dramatic traffic loss cannot be separated from the changes in Google's search algorithm. Several major updates in 2024 and 2025 fundamentally altered the rules of the game. The March 2024 update, in particular, was significant – Google described it as the largest in the company's history and promised a 45 percent reduction in low-quality, unoriginal content.
What exactly happened with these updates? Google began penalizing websites that published content outside their area of expertise—precisely what HubSpot had been doing for years. The search engine increasingly focused on the concept of "topical authority." Websites would no longer be rewarded for the breadth of their topics, but for the depth of their expertise in specific areas.
This development hit HubSpot particularly hard, as the company had pursued a very broad content strategy. Articles about famous quotes or resignation letters had little to do with HubSpot's core business as a CRM provider. Google began classifying such content as "SEO-first content"—that is, content created primarily for search engines and not for people. The algorithm updates aimed to remove useless or superficial content from search results and instead favor in-depth, relevant information.
In addition to the core updates, Google also rolled out several spam updates targeting manipulative practices. For example, the June 2024 spam update focused on automatically generated AI content designed solely to rank in search engines. These updates were part of Google's broader strategy to improve the quality of search results and provide users with more relevant information.
How does artificial intelligence change the way we search for information?
Perhaps the most significant factor in HubSpot's traffic loss, however, was the introduction of Google's AI Overviews in May 2024. This feature generates AI-powered summaries directly within search results, answering user queries without requiring them to click through to external websites. For companies like HubSpot, which relied heavily on informational, high-level content, this posed an existential threat.
How exactly do these AI Overviews work? When a user asks a question, Google's AI analyzes various sources and creates a summary answer that appears directly in the search results. These answers appear prominently at the top of the page, even before the traditional organic search results. For many users, these summaries are sufficient to satisfy their information needs, eliminating the need to click through to the original sources.
The impact is measurable: studies show that AI overviews appear in approximately 13.14 percent of all search queries, an increase of 6.49 percent in just a few months. The effect on click-through rates is even more dramatic: websites lose between 15 and 60 percent of their traffic when their content is replaced by AI overviews. Informative content and superficial SEO strategies based on simple glossaries or lists are particularly affected.
What does this mean for users? On the one hand, they benefit from faster, more direct answers to their questions. Instead of having to search through multiple websites, they receive the information they need immediately. On the other hand, this leads to the phenomenon of "zero-click searches"—search queries where the user doesn't click on any further links because the AI answer is already sufficient.
What are zero-click searches and why are they problematic for content publishers?
Zero-click searches have become one of the defining characteristics of the modern search landscape. With these search queries, users receive their answers directly on the Google search results page, without having to click on external links. For publishers and content companies, this represents a fundamental shift: they continue to produce content, but receive fewer direct visitors to their websites.
The figures illustrate the scale of the problem: For major publishers like Mail Online, AI Overviews led to a drop in click-through rates of over 56 percent. Other large media companies experienced similar losses: At People.com, 71.2 percent of search queries using AI Overviews resulted in zero clicks to the website. CBS News experienced even more drastic effects, with a 75 percent zero-click rate for search queries using AI Overviews, compared to 54 percent for regular searches.
Why is this development so problematic? The traditional business model of many online publishers is based on a simple principle: create content, attract visitors, run ads, or sell subscriptions. However, if visitors stop coming to the websites, this revenue stream collapses. Publishers continue to invest time and resources in creating high-quality content, but the fruits of their labor are increasingly being "harvested" by AI systems without any corresponding compensation.
The problem is exacerbated by the fact that AI Overviews appear particularly frequently with information-heavy content—precisely the area where many publishers excel. Fields like science, healthcare, and law are experiencing the most significant increases in AI Overviews, as Google prioritizes trust and factual accuracy in these areas. For news sites, this means that their valuable advice columns and informative articles are being "cannibalized" by AI, while direct contact with readers is lost.
How can content creators respond to these changes?
In light of these dramatic changes, content creators face the challenge of fundamentally rethinking their strategies. The previous approach of producing as many superficial articles as possible on various topics is no longer successful. Instead, new approaches are needed that are geared towards the changed realities of AI-powered search.
A key strategy is building "topical authority." Instead of producing broad, diverse content, companies should focus on their core competencies and create comprehensive, in-depth content in those areas. This means covering fewer topics, but doing so exhaustively. A company should strive to become the undisputed expert on a specific subject rather than writing superficially about hundreds of different areas.
What does this focused approach look like in practice? The concept of "pillar pages" and "topic clusters" offers a structured approach. Companies first create comprehensive foundational pages (pillar pages) on their main topics and supplement these with detailed articles (cluster pages) on specific subtopics. All this content is linked together through a logical internal linking structure, creating a coherent knowledge network for both users and search engines.
Another important aspect is content quality. In an age where AI tools can easily generate average texts, creating content that goes beyond the average is becoming increasingly crucial. SEO experts are already using the phrase "average is the new bad." Only content that is so valuable and unique that users read it completely and engage with it will be rewarded by Google.
What role does content structure play for AI-optimized content?
The way content is structured is becoming increasingly important in the AI era. AI systems like Google's AI Overviews prefer clearly structured, easily understandable content that they can analyze and summarize without difficulty. This means that content creators no longer need to optimize their articles solely for human readers, but also for machine interpretation.
What makes content AI-friendly? First and foremost, clarity is crucial. Information should be organized into logical sections with meaningful headings and subheadings that structure the content. Structured data also plays a vital role, as it helps AI systems better understand the context and meaning of the content. Lists, tables, and other formatted elements make it easier for both humans and machines to quickly grasp relevant information.
The use of long-tail keywords and answering specific questions is also particularly important. Instead of using general terms, content creators should identify precise questions their target audience asks and answer them in detail. This increases the likelihood of the content being cited in AI Overviews, leading to a new form of visibility – being mentioned as a trusted source in AI-generated answers.
The length of the content also plays a role. While superficial, short articles can easily be replaced by AI summaries, comprehensive, detailed analyses offer added value that goes beyond automatically generated answers. This longer content can explain complex relationships, highlight nuances, and provide profound insights that an AI summary cannot fully capture.
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How is the importance of backlinks and external signals changing?
Traditionally, backlinks were one of the most important ranking factors for search engines. However, the AI era is bringing about changes here as well. While backlinks remain important, their role has shifted in the context of the changing search landscape. The sheer number of backlinks has become less crucial than their quality and relevance to the specific topic.
What does this mean in practice? Companies should focus on acquiring backlinks from authoritative sources in their field, rather than indiscriminately collecting links from random websites. A backlink from a recognized specialist publication or industry expert is significantly more valuable than hundreds of links from irrelevant or low-quality sites. These high-quality backlinks signal to both search engines and AI systems that the linked website is a trustworthy source of information in that area.
External signals extend beyond backlinks. Social media mentions, mentions in trade publications, and the participation of industry experts in discussions about the organization's content are becoming increasingly important. These signals help build external thematic authority—a concept that describes how other websites and stakeholders perceive and acknowledge an organization's expertise.
This becomes particularly relevant in the context of AI overviews and other AI-powered search functions. These systems consider not only the content of a website, but also its reputation and credibility within the broader online community. A website with strong external signals has a better chance of being cited as a source in AI-generated answers, leading to a new form of visibility.
What impact will this have on different industries and business models?
The changes in the search landscape do not affect all industries and business models equally. While information-heavy sectors such as news, advice websites, and educational providers are heavily impacted by zero-click searches, other sectors can even benefit. E-commerce websites, for example, are less at risk, as AI overviews appear less frequently for product-related or transactional search queries.
Which sectors are particularly affected? Media companies that rely heavily on informative content are experiencing the most dramatic declines. Lifestyle magazines, health portals, and how-to websites are systematically losing traffic as their content is frequently replaced by AI summaries. This is especially problematic for companies whose business model is based on advertising or affiliate marketing, since both models depend on high visitor numbers.
On the other hand, new opportunities are opening up for companies that adapt their strategy. B2B service providers who can demonstrate in-depth subject matter expertise benefit from focusing on thematic authority. Consulting firms, software providers, and specialized service providers can strengthen their position as industry experts through comprehensive, subject-specific content and thereby generate more qualified leads.
Another interesting aspect is the geographical difference. While AI Overviews are already widespread in the US, their adoption in other markets is still underway. This gives companies in different regions varying amounts of time to adapt their strategies. German companies, for example, still have the opportunity to learn from the experiences of their American counterparts and react proactively.
How should companies realign their content marketing budgets?
The dramatic changes in the search landscape necessitate a re-evaluation of budget allocation in content marketing. The previous strategy of producing as much content as possible is no longer cost-effective. Instead, companies should invest in fewer, but higher-quality pieces of content that offer genuine added value to their target audiences.
Where should the priorities lie? A larger portion of the budget should be allocated to thorough research and planning. Instead of spontaneously creating articles on various topics, a strategic approach based on sound target group analyses and keyword research is required. This preparatory work is more time-consuming and expensive, but it leads to more targeted and effective content.
At the same time, quality assurance is becoming more important. While previously the sheer quantity of content was paramount, today the excellence of individual pieces is crucial. This means that companies should invest in experienced content creators who are capable of developing in-depth, nuanced content. The cost per article increases, but the potential value of each individual piece is significantly higher.
The technical infrastructure also deserves more attention. Tools for content management, SEO analysis, and performance tracking are becoming more important as measuring success becomes more complex. Simply looking at traffic figures is no longer sufficient – companies need to understand how their content performs in AI overviews, which topics are favored by AI systems, and how user behavior is changing.
Which tools and technologies are becoming more important for successful content marketing?
The landscape of tools for content marketing is changing as dramatically as the strategic approaches. While traditional SEO tools remain important, new categories of instruments are emerging, specifically designed for the AI era. These tools help optimize content that is relevant to both humans and AI systems.
Which new tool categories are gaining importance? AI analytics tools are becoming increasingly crucial for understanding how content is interpreted by different AI systems. These tools can predict which content is likely to appear in AI Overviews and provide optimization recommendations. At the same time, they help measure content performance in a world of zero-click searches.
Content intelligence platforms are evolving into indispensable tools for strategic planning. These systems analyze not only keywords and search volume, but also semantic relationships, user intent, and thematic gaps in the market. They help develop content strategies that focus on thematic authority, rather than simply targeting individual keywords.
Tools for structured data markup and technical SEO optimization are also becoming increasingly important. Since AI systems prefer structured information, content creators must ensure their content is machine-readable. Tools that help implement Schema.org markup, optimize rich snippets, and improve technical performance are becoming critical success factors.
How is the measurability of content marketing success changing?
One of the biggest challenges in the new era of content marketing is the changing way we measure success. Traditional KPIs like page views, time on page, and bounce rate are losing their relevance when a large portion of user interactions already take place on the search results page. Companies need to develop new metrics and reinterpret existing ones.
Which new metrics are becoming relevant? Visibility in AI Overviews is becoming a key indicator of the success of content strategies. Companies should measure how often their content is cited as a source in AI-generated answers. Despite traffic losses, HubSpot shows an interesting trend: The company has a 35.3 percent share of AI-generated answers in its category and is mentioned in over half of all brand mentions.
Brand mentions and share of voice in AI responses are becoming critical metrics. These metrics demonstrate a brand's strong presence in the new search landscape, even as direct website visits decline. A company can have less traffic but still maintain a dominant position in the perception of its target audience if it is regularly cited as an authority in AI responses.
At the same time, qualitative metrics are gaining importance. The engagement rate of users who actually visit the website is becoming more important than the absolute number of visitors. These users have already passed through the "filter" of the AI overviews and are looking for more in-depth information. Their conversion rates are often higher, and their behavior provides more valuable insights into the actual effectiveness of the content strategy.
What impact does this have on the customer journey?
The way customers discover information and make purchasing decisions is fundamentally changing due to AI-powered search. The traditional customer journey, which began with searching for information on various websites, is increasingly being shortened or altered by AI responses. This has far-reaching implications for marketing and sales.
What does the new customer journey look like? The first contact with a topic or problem often occurs through AI overviews. Potential customers receive immediate answers to their basic questions without having to visit multiple websites. Only when they need more in-depth information or are looking for a specific solution do they click through to the original sources.
This means that companies need to rethink their funnel strategies. The top part of the funnel—the awareness phase—is increasingly dominated by AI systems. Brands need to ensure they are present in these AI responses, even if they don't directly generate traffic. The middle and lower funnel stages, on the other hand, are gaining importance, as the users who actually visit the website are already pre-qualified.
The shift in the B2B sector is particularly interesting. While B2C purchases can often be impulsive, B2B decisions usually require in-depth research and a comparison of different options. Here, companies that offer comprehensive, detailed content can gain an advantage, as AI systems, while able to answer superficial questions, cannot replace the nuanced considerations necessary for complex business decisions.
What does this mean for the future of content marketing?
The developments surrounding HubSpot and the broader changes in the search landscape point to a fundamental transformation of content marketing. The era of mass-produced, SEO-optimized content is drawing to a close. Instead, a new era is emerging, one that focuses on quality, expertise, and genuine added value.
How will the industry develop? Experts predict that the importance of AI overviews and similar features will continue to grow. Google and other search engines are investing heavily in improving these technologies, as they significantly enhance the user experience. For content creators, this means they need to learn to work in symbiosis with these systems, rather than trying to circumvent them.
The future likely belongs to hybrid approaches optimized for both AI systems and human users. Successful content will be cited in AI overviews while also providing deeper information for users who need more detail. This dual optimization requires new skills and approaches from content teams.
At the same time, personalization is becoming increasingly important. As AI systems become ever better at understanding individual user preferences, content strategies must also become more personalized. This means not only creating different content for different target groups, but also adapting content based on the context and the individual user's customer journey stage.
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What lessons can other companies learn from HubSpot's experience?
The HubSpot case offers valuable lessons for companies of all sizes and industries. Perhaps the most important takeaway is that even the most successful content marketing strategies of the past are not automatically suitable for the future. Companies must be prepared to continuously question and adapt their approaches.
What concrete steps should companies take? First, an honest assessment of their current content strategy is necessary. Companies should analyze which of their content pieces are truly related to their core business and which were possibly created solely for SEO purposes. Content that falls outside their core expertise should be critically reviewed or potentially removed.
At the same time, companies should invest in building genuine thematic authority. This means focusing on fewer topics, but addressing them more comprehensively and in greater depth. Focusing on three to five core topics is often more effective than superficially addressing thirty different areas.
Integrating AI optimization into content planning is also particularly important. Companies should consider how new content might be interpreted by AI systems right from the start. This doesn't mean writing exclusively for machines, but rather choosing structures and formats that are easily understandable for both humans and AI systems.
How can companies prepare their content teams for these changes?
The transformation of content marketing also requires new skills and competencies from the teams involved. Existing roles and processes need to be re-evaluated and potentially fundamentally redesigned. This applies to both the strategic planning and the operational implementation of content projects.
What new skills are needed? Content creators must learn to write for multiple audiences: both human readers and AI systems. This requires a deeper understanding of how search engines and AI algorithms interpret content. At the same time, in-depth expertise is becoming more important – superficial generalists are being replaced by specialized experts who possess genuine authority in their fields.
Technical skills are also gaining importance. Content teams need to understand how structured data works, how to optimize rich snippets, and how the technical aspects of website performance affect content performance. This requires closer collaboration between content and tech teams or the development of hybrid-skilled employees.
Analytical skills are becoming critical as success measurement becomes more complex. Content managers must learn to interpret new metrics and understand how to measure success in a world of zero-click searches. This requires both quantitative analytical skills and a qualitative understanding of how user behavior and brand perception are changing.
What does this change mean for the future of digital communication?
The HubSpot case is more than just the story of a single company – it symbolizes an epochal shift in how information is created, distributed, and consumed online. The era of mass-produced, SEO-optimized content, which has dominated the digital landscape for over two decades, is drawing to a close. It is being replaced by a new era in which quality triumphs over quantity and genuine expertise over superficial keyword optimization.
This transformation is not just a technical adjustment, but a fundamentally new way of thinking about content marketing. Companies need to abandon the notion that more content automatically equals better. Instead, a more strategic, focused approach is required, one that is based on building genuine authority and delivering authentic value.
The winners of this new era will be those who are willing to fundamentally rethink their strategies and invest in quality, expertise, and technical excellence. The losers will be those who cling to outdated models of mass-content production and hope that the changes will reverse themselves.
The transformation is already well underway and will accelerate in the coming years. Companies that act now and adapt their content strategies to the new reality have the opportunity to establish themselves as market leaders in the AI-powered search landscape. Those who wait too long risk falling behind and fading into insignificance.
The story of HubSpot is therefore not the end of an era, but the beginning of a new one – an era in which content marketing matures and evolves from its quantity-oriented beginnings into a strategic, quality-oriented approach that creates real value for users and businesses alike.
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