How Does Trust Affect SEO and User Behavior?

Trust may influence whether users click, continue browsing, and become customers, and it is also related to search performance. However, users trusting a website does not mean it will receive a direct ranking boost. The supplied material supports distinguishing among pathways such as technical security signals, user choices, and search quality evaluation. Click-through rates, bounce rates, or brand visibility alone cannot establish that trust caused rankings to rise.

Trust affects people’s choices, not just search rankings

In a 2025 article, Semrush defined trust as users’ and search engines’ perceptions of a website’s credibility and reliability, distinguishing it from authority, which reflects expertise in a field. In other words, expertise and trustworthiness are related, but they are not the same thing. (S5)

The article proposed several possible pathways:

• In search results, users may be more willing to click on brands they know and trust.
• Once users arrive, credible content and a good user experience may encourage them to keep exploring.
• Visitors who trust a website may be more likely to become customers or brand advocates; other websites may also be willing to cite and link to its content.

These are relationships proposed in the article, not causal findings established by controlling for other factors. The reverse inference is not justified: a lower bounce rate does not necessarily mean a website is more trustworthy or will rank higher.

HTTPS: ranking signals and users’ sense of security are two separate pathways

An article published on Neil Patel’s website in 2026 noted that Google announced HTTPS as a ranking signal in 2014. It also stated that websites still using HTTP face trust-related warnings in Chrome, which may affect user behavior. (S3)

This example is best understood as two separate pathways: one involves search systems using technical security signals, while the other involves browser warnings affecting visitors’ willingness to continue using a website. Using HTTPS does not mean the content has been endorsed, and the material provides no data on how much it might improve rankings or conversions.

Quality evaluation does not mean an immediate ranking boost for an individual website

Semrush explained that human raters use the E-E-A-T framework to evaluate search quality, and their feedback can inform future algorithm adjustments. (S5) This describes the relationship between quality evaluation and system improvement. It cannot be recast as “once raters recognize a website’s trustworthiness, its rankings immediately rise.”

The same article also argued that external links and users’ interactions before returning to search results may play a role in assessing trustworthiness. However, the supplied material includes neither an official explanation of the mechanisms nor the weight assigned to each signal, so these interpretations by the author should not be treated as a ranking formula to follow.

Frequent brand appearances in AI answers do not mean higher traditional search rankings

In 2026, Search Engine Journal reported on BrightEdge’s study of travel queries: major brands had an advantage in AI answers within their respective categories, but the leading brands varied across travel subcategories. (S1)

The report specifically clarified that it measured appearances in the AI answers being tracked—share of voice—not positions in traditional search results. The author viewed brand recognition and trust as possible explanations for the brands’ advantage. This is still insufficient to establish that trust alone caused greater visibility, and the findings cannot be directly generalized to all industries.