--- title: Google's Trained Generative Model and Query Variants in Search description: Discover how Google uses a trained generative model to create query variants for search features like PASF and PAA, enhancing your understanding of SERP dynamics. image: https://www.hireawriter.us/hubfs/HAW%20blog%20-%202023-10-06T082426.266%20(1).png --- [Skip to the main content.](https://www.hireawriter.us/seo/googles-trained-generative-model-and-query-variants-in-search#main-content) [![Untitled design (90)](https://www.hireawriter.us/hs-fs/hubfs/Untitled%20design%20(90).png?width=500&height=500&name=Untitled%20design%20(90).png "Untitled design (90)")](http://hireawriter.us) [![Untitled design (90)](https://www.hireawriter.us/hs-fs/hubfs/Untitled%20design%20(90).png?width=500&height=500&name=Untitled%20design%20(90).png "Untitled design (90)")](http://hireawriter.us) - [FOR BUSINESSES](https://www.hireawriter.us/for-businesses) - [SEO COPYWRITING](https://www.hireawriter.us/seo-copywriting) - [SOCIAL MEDIA CONTENT](https://www.hireawriter.us/social-media-services) - 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As with any patent, it's important to remember that we don't know if Google has implemented it or plans to. But what’s interesting is how it describes the generation of query variants for entirely new queries and for long-tail queries with limited available data.  This is significant considering that [Google states that 15% of queries are entirely new to the search engine](https://blog.google/products/search/search-language-understanding-bert/). The generative model utilizes neural networks, including memory layers, to predict which query variants to generate, even for less common queries. ## Key Points from the Patent To provide a clearer understanding of the patent, let's highlight some key points: ### Query Variants Generation The patent reveals that query variants can be generated dynamically using a trained generative model based on tokens from the original queries and additional input features. ### Generation for Novel Queries The system [can generate query variants](https://www.hireawriter.us/seo/an-overview-of-google-sge) even when the model has not been specifically trained on those queries. This capability extends to entirely new queries and "tail" queries with limited data. ### User-Driven Training The generative model can be trained based on user submissions of previous queries. Additionally, query variant training data can be derived from query pairs that share clicks on the same documents, emphasizing the role of user engagement. ### Multitask Model The patent explains that the model can be trained as a multitask model, enabling it to generate various types of query variants, including follow-up queries, generalization queries, canonicalization queries, [language translation](https://www.hireawriter.us/seo/google-search-update-enhances-language-matching-systems-for-improved-seo) queries, entailment queries, and more. ### Scoring and Quality After generating query variants, the model scores them, providing response scores for each variant. The system can grade these variants by checking for answers, helping detect potentially misleading or irrelevant query variants. ### Diverse Responses The patent suggests that the system can return more than just query variants. It can provide various responses, such as search results, knowledge graph entities, null responses (no answer), or prompts for clarification. ### Incorporating Additional Input Features The model can consider factors beyond query tokens, including "additional input features" such as location, user tasks, weather, and more. This enables personalized query variants based on context. ### Generating Advertisements and Content Beyond query variants, the model can also generate or retrieve ads and other content for display in the search engine results pages (SERPs). ### Specialized Models The patent suggests that different generative models can be employed for various attributes or tasks, making the system adaptable to different contexts like shopping, travel planning, and more. ## Google’s Trained Generative Model - What This May Mean Understanding how Google employs a trained generative model to generate query variants sheds light on the complexity behind SERP features like People Also Search For and People Also Ask.  These insights reveal the potential for personalized, context-aware search results and underscore the sophistication of Google's systems.  The next time you encounter these features in the SERPs, you'll have a deeper appreciation for the technology driving them. - [Tweet](https://twitter.com/share) [![Unveiling Google's Perspectives Filter and Carousel: A Mobile SERP Game Changer](https://www.hireawriter.us/hubfs/HAW%20blog%20-%202023-10-06T084137.341%20(1).png)](https://www.hireawriter.us/seo/unveiling-googles-perspectives-filter-and-carousel-a-mobile-serp-game-changer) 1 min read #### [Unveiling Google's Perspectives Filter and Carousel: A Mobile SERP Game Changer](https://www.hireawriter.us/seo/unveiling-googles-perspectives-filter-and-carousel-a-mobile-serp-game-changer) ![Picture of Writing Team](https://www.hireawriter.us/hs-fs/hubfs/HAW%20Logo%20T%20%26%20White%20square-3.png?width=30&name=HAW%20Logo%20T%20%26%20White%20square-3.png) [Writing Team](https://www.hireawriter.us/seo/author/writing-team) : Oct 6, 2023, 8:48:38 AM On June 10, 2023, Google introduced the highly anticipated Perspectives feature within its mobile search results, a development initially teased at... [SEO](https://www.hireawriter.us/seo/tag/seo) [Google](https://www.hireawriter.us/seo/tag/google) [Algorithm](https://www.hireawriter.us/seo/tag/algorithm) [News](https://www.hireawriter.us/seo/tag/news) [Technology](https://www.hireawriter.us/seo/tag/technology) [Read More](https://www.hireawriter.us/seo/unveiling-googles-perspectives-filter-and-carousel-a-mobile-serp-game-changer) [![Google's Potential for On-Demand Machine Learning Models in Search Predictions](https://www.hireawriter.us/hubfs/HAW%20blog%20-%202023-10-06T082515.650%20(1).png)](https://www.hireawriter.us/seo/googles-potential-for-on-demand-machine-learning-models-in-search-predictions) 1 min read #### [Google's Potential for On-Demand Machine Learning Models in Search Predictions](https://www.hireawriter.us/seo/googles-potential-for-on-demand-machine-learning-models-in-search-predictions) ![Picture of Writing Team](https://www.hireawriter.us/hs-fs/hubfs/HAW%20Logo%20T%20%26%20White%20square-3.png?width=30&name=HAW%20Logo%20T%20%26%20White%20square-3.png) [Writing Team](https://www.hireawriter.us/seo/author/writing-team) : Oct 6, 2023, 8:36:23 AM Google is continually pushing the boundaries of what's possible. [SEO](https://www.hireawriter.us/seo/tag/seo) [Research](https://www.hireawriter.us/seo/tag/research) [Google](https://www.hireawriter.us/seo/tag/google) [Algorithm](https://www.hireawriter.us/seo/tag/algorithm) [Read More](https://www.hireawriter.us/seo/googles-potential-for-on-demand-machine-learning-models-in-search-predictions) [![Google June 2025 Core Update](https://www.hireawriter.us/hubfs/HAW%20blog%20(2)-Jun-30-2025-05-12-21-2589-PM.png)](https://www.hireawriter.us/seo/google-june-2025-core-update) 1 min read #### [Google June 2025 Core Update](https://www.hireawriter.us/seo/google-june-2025-core-update) ![Picture of Writing Team](https://www.hireawriter.us/hs-fs/hubfs/HAW%20Logo%20T%20%26%20White%20square-3.png?width=30&name=HAW%20Logo%20T%20%26%20White%20square-3.png) [Writing Team](https://www.hireawriter.us/seo/author/writing-team) : Jun 30, 2025, 1:16:25 PM Google just dropped the June 2025 core update, and SEOs everywhere are either celebrating or reaching for antacids. This marks the second major core... 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