Behavioral Factors and Cheating in Search, Insights From Optimization 2024

Experts Discuss Advances in Detecting Manipulative Practices and Challenges in High-Spam Niches.

Experts Discuss Advances in Detecting Manipulative Practices and Challenges in High-Spam Niches.

At the Optimization 2024 conference, the role of behavioral factors in search rankings and the ongoing battle against cheating practices were key topics. Experts shared insights on combating spam, improving search quality, and the need for collaborative efforts between platforms and industry professionals.

Addressing Behavioral Factors and Cheating

Denis Shubenok noted visible changes in the prevalence of manipulative practices, such as doorway sites and spammy one-day websites. While these tactics have become less effective over time, some niches remain heavily targeted by cheaters.

Mikhail Slivinsky of Yandex acknowledged these developments, emphasizing the company’s ongoing efforts to reduce the effectiveness of manipulation. He noted that improvements in search algorithms and antifraud measures have driven up the cost and complexity of cheating services, indicating progress in the fight against low-quality tactics.

However, Slivinsky stressed that the problem is not entirely solved. Yandex views the battle against cheating as a “chess game” where new tactics emerge as countermeasures are deployed.

Collaboration With Experts

Slivinsky highlighted the importance of collaboration with industry professionals who are well-versed in their niches. Experts play a crucial role in identifying fake sites and marking problematic search results. This input helps Yandex refine its algorithms and create more robust solutions.

He also explained how a broader analysis of random search queries often reveals less acute problems than those highlighted by specific, locally selected examples. This underscores the need for diverse perspectives in improving search quality.

Challenges in High-Spam Niches

An audience member raised concerns about spam-heavy industries like gambling and betting. Slivinsky acknowledged the technological sophistication of these sectors, noting that they often outpace search platforms in their ability to exploit vulnerabilities.

While Yandex does not plan to implement separate regulations for such niches, Slivinsky said the platform prioritizes identifying and addressing high-pressure areas. Solutions are designed to be universal, ensuring improvements benefit all search categories rather than targeting specific industries.

Long-Term Solutions Over Quick Fixes

When asked about the possibility of outright banning spam sites, Slivinsky emphasized the importance of sustainable, engineered solutions rather than temporary fixes. The goal is to prevent the recurrence of issues rather than addressing them reactively.

Key Takeaways

  • Progress Against Cheating: Antifraud measures and algorithmic improvements have made manipulative practices more expensive and less effective.
  • Collaboration Is Essential: Input from niche experts helps search platforms identify and address specific problems in search results.
  • Universal Solutions: Yandex focuses on generalizable strategies rather than niche-specific regulations to ensure long-term effectiveness.
  • Sustainable Approaches: Quick fixes are avoided in favor of robust solutions that address the root causes of spam and manipulation.

The panel reinforced that while significant progress has been made, the fight against cheating in search rankings remains ongoing. Collaborative efforts and continual advancements in search technology will be key to ensuring a fair and high-quality search experience.

Dan Taylor is the founder and editor of International Search Insights (ISI), the publication behind ReadIsi, and a Partner and Head of Innovation (Search & AI) at SALT.agency. He has worked in search for more than a decade, in-house and agency-side, and is regarded as one of the West’s leading voices on search engines beyond Google, including Yandex, Baidu, Naver and Cốc Cốc. On ReadIsi, Dan covers the engines and AI answer platforms that English-language coverage tends to miss: Baidu and ERNIE, Yandex and Alice AI, Naver, Cốc Cốc, Shenma, Sogou, WeChat and Weibo search, plus DeepSeek and Alibaba’s Qwen. He also keeps dated records of documented changes, such as the Yandex, Baidu and Naver algorithm update histories and the DeepSeek, ERNIE and Qwen model update histories. His approach is to take learnings from global search engines and apply logic with a high evidence threshold. A claim needs a source, patterns seen in one market are treated as a hypothesis until they are checked in another, and where the evidence is thin he says so. For brands, that means advice built on what can be shown, with measurement that separates being cited from being chosen. Dan is credited with coining the term “edge SEO” and won the inaugural TechSEO Boost research competition in 2018 for his work on CDN and edge changes for SEO. In 2026 he was credited with coining “Infinite Tail” to describe how keyword research is changing with AI search. He is the author of AI Search Marketing For The Travel Sector, writes for Search Engine Journal, Search Engine Land and Travel Marketing Guy, and has advised technology, SaaS, travel and enterprise ecommerce brands, including Cloudflare, GitLab and Airbnb. He has given multiple talks and panels at the International Search Summit in Barcelona, and has also spoken at Optimization Moscow, brightonSEO, Google Search Central Live Deep Dive Asia in Bangkok, Athens SEO and the Asia SEO Virtual Summit 2026, where his talk looked at how Baidu, Naver, DeepSeek, Tencent, Cốc Cốc and Yandex built their own AI answers.