Title: Feedback Author: Kriko Published: Feb 17, 2021 Last modified: Jul 13, 2026 --- 1. [Home](https://kriko.io/) / 2. [Glossary](https://kriko.io/glossary) / 3. F Letter # Feedback **Feedback** is an evaluation, comment or report that a user provides to a system, platform, brand or search engine about an action they have taken, a result they have seen or an experience they have had. In digital marketing and SEO, feedback is an important data source that helps understand user experience, content quality, the usefulness of search results and technical issues. However, this concept is not limited only to the “Feedback” link that appears in Google search results. On- site comments, surveys, customer support requests, product reviews, user tests, search quality reports and behavioural data can also be evaluated as forms of feedback. In Google Search, users may see options to send feedback or suggest a translation on some results or search features. Google states that this feedback helps improve Google Search for everyone. Users can share what they like or dislike about search results, confusing information, things that do not work or suggestions for improving the search experience. Google also clearly states that the feedback submitted does not directly influence the ranking of the related page in search results. For this reason, it is not accurate to say that user feedback directly changes the ranking of a page. If a user sends negative feedback about a specific result, it does not mean that the page will immediately drop in rankings. Similarly, positive feedback does not directly move an individual page to the top of the results. Google’s ranking systems evaluate many different factors together, including content quality, relevance, user query, page experience, authority, location and device. When serving search results, Google ranks pages from its index programmatically based on quality and relevance signals related to the query. That said, feedback is not meaningless for Google. Google states that user feedback on search quality issues helps identify areas where automated spam detection systems may be missing coverage and can be used to improve ranking algorithms. This type of feedback is especially important for reporting spam, paid links, malicious behaviour, low-quality content and other search quality issues. However, this effect should be understood as a contribution to the long-term improvement of Google’s search systems, rather than an immediate ranking change for a single page. From an SEO perspective, the real value of feedback is that it makes user expectations and problems visible. If users cannot find what they are looking for on a page, find the content unclear, encounter incorrect information, fail to complete a form, experience slow loading or struggle with navigation, these issues can create important optimization opportunities. This kind of feedback can be used for content revisions, UX improvements, technical fixes and conversion optimization. Therefore, feedback should be evaluated not only from a search engine perspective but also from a user experience and business outcomes perspective. When using Google’s feedback option, it is important to provide clear, specific and concrete explanations. Users should explain what issue they experienced, which result they saw, which information was incorrect or confusing and what they expected to happen. Google also states that more information helps it decide what to change. For example, instead of saying “this result is wrong,” it is more useful to explain which result is wrong, for which query it appeared and what the correct information should be. Feedback is not used only for negative situations. Users can also report positive experiences, helpful features or useful aspects of search results. Such feedback can help identify which parts of the search experience are working well. The same logic applies to websites. Positive user comments can show which content, features or experiences create value, while negative comments reveal areas that need improvement. Websites should also build their own feedback mechanisms. User surveys, page-level rating buttons, “was this content helpful?” questions, customer service records, product reviews, NPS, CSAT, live chat conversations and usability tests can provide valuable insights for SEO and digital marketing teams. These data sources can reveal user problems that may not be visible in technical SEO reports alone. For example, a page may receive organic traffic, but users may still find pricing information, delivery details or the application process unclear, which can weaken conversion performance. Feedback data becomes more meaningful when evaluated together with behavioural analytics data. Google Analytics, Search Console, heatmap tools, scroll tracking, form abandonment rates and session recordings show what users do. Surveys, comments and support requests help explain why users behave that way. A strong SEO analysis is not built only by looking at rankings and traffic, but by reading user expectations together with direct and indirect feedback. Google’s helpful content approach also supports this perspective. Google states that its automated ranking systems are designed to prioritize helpful, reliable information created to benefit people. For this reason, content creators should focus on providing real value to users, rather than trying to manipulate search engine rankings. User feedback can also be an important source for evaluating whether content is truly useful, clear, comprehensive and trustworthy. In summary, **feedback** is a valuable source of insight in SEO and digital marketing, helping understand what users think about search results, website experience, content quality and technical usability. The feedback button in Google does not directly change the ranking of the related page, but it can contribute to the improvement of search quality systems. For website owners, feedback is strategic data that should be analysed regularly to understand user expectations, improve content, fix technical problems, increase conversion rates and provide a more useful experience. ## Discover it in the dictionary ### Black Hat SEO Black Hat SEO refers to aggressive, manipulative or deceptive SEO techniques that aim to gain rankings by violating search engine guidelines. 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