Experts Discuss the Impact of Reviews on Website Rankings at Optimization 2024

Panel Explores Correlations, Authenticity, and Fraud Prevention in Online Reviews.

Panel Explores Correlations, Authenticity, and Fraud Prevention in Online Reviews.

At the Optimization 2024 conference, the role of reviews in website rankings took center stage during a discussion panel. Experts examined their influence on search results, the challenge of identifying fake reviews, and the implications for businesses seeking to improve their online presence.

Do Reviews Affect Rankings?

An audience member questioned whether reviews have become a more significant factor in determining website rankings. Mikhail Slivinsky of Yandex acknowledged the connection but cautioned against conflating correlation with causation.

Slivinsky noted that reviews reflect user perception and provide valuable feedback for businesses. However, he refrained from confirming their direct influence on search rankings. He shared an example about the IKS (Website Quality Index), which correlates with both Yandex and Google search results, highlighting that such relationships do not necessarily indicate cause and effect.

Addressing Fake Reviews

The panel also tackled the issue of fraudulent reviews and their potential impact. Slivinsky assured attendees that Yandex employs antifraud measures to mitigate the influence of fake reviews. While he did not divulge specifics, he emphasized the platform’s commitment to identifying and neutralizing fraudulent activity.

Igor Ashmanov added that reviews are only valuable if they are genuine. Businesses must avoid generating fake positive reviews, as this undermines their credibility and may invite scrutiny from search platforms.

The Value of Authentic Feedback

Reviews, whether or not they significantly influence rankings, remain a critical tool for businesses. They offer insights into customer experiences and help brands identify areas for improvement. For users, reviews build trust and enhance decision-making.

Slivinsky concluded by encouraging businesses to prioritize authentic engagement over manipulative practices, reinforcing the value of reviews as both a feedback mechanism and a signal of user trust.

Takeaways for Businesses

  • Focus on Authenticity: Genuine reviews carry weight with both users and search engines. Avoiding fraudulent practices protects credibility and trust.
  • Leverage Feedback: Use reviews to understand customer experiences and refine products or services.
  • Recognize Correlation, Not Causation: While reviews may correlate with better rankings, their direct impact should not be overstated.

The discussion underscored the importance of ethical practices in managing online reviews and highlighted their role in shaping a business’s reputation and user trust.

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.