--- title: Google Cloud Recommendations AI Reviews meta_title: 'Google Cloud Recommendations AI Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 35 reviews by the users' company size, role or industry to find out how Google Cloud Recommendations AI works for a business like yours. aggregate_rating: rating_value: 4.3 review_count: 35 scale: '5' date_modified: '2026-09-29' parent_category: name: Artificial Intelligence url: https://www.g2.com/categories/artificial-intelligence --- # Google Cloud Recommendations AI Reviews **Vendor:** Google **Category:** [Machine Learning Software](https://www.g2.com/categories/machine-learning) **Average Rating:** 4.3/5.0 **Total Reviews:** 35 **AI Verified:** At least 10 G2 reviewers have confirmed using this product's AI features and functionality. ## About Google Cloud Recommendations AI Recommendations AI Deliver highly personalized product recommendations at scale. ## Google Cloud Recommendations AI Reviews ### 1. Google Cloud Recommendations AI Makes Personalization Simple and Scalable **Rating:** 4.0/5.0 stars **Reviewed by:** Soumi C. | Mortgage Underwriter, Enterprise (> 1000 emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** September 29, 2026 **What do you like best about Google Cloud Recommendations AI?** How it makes personalization feel simple and practical. It can understand user behavior and preferences and use that information to suggest products or content that are actually relevant. I also like that it can handle large amounts of data and scale easily, which makes it useful for businesses with many customers and products. Overall, it helps create a more personalized user experience without requiring too much manual effort. **What do you dislike about Google Cloud Recommendations AI?** One thing I dislike about Google Cloud Recommendations AI is that it can take some time and effort to set up properly, especially if you are new to Google Cloud. It also depends heavily on having good-quality data, so the recommendations may not be very useful if the data is incomplete or inconsistent. The number of settings and configuration options can also feel a little overwhelming at first. **What problems is Google Cloud Recommendations AI solving and how is that benefiting you?** As a user, I find Google Cloud Recommendations AI helpful because it makes it easier to discover products or content that are relevant to my interests. Instead of spending a lot of time searching, I get suggestions based on my previous activity and preferences. This saves me time and makes the overall experience more convenient and personalized. ### 2. Google’s Many Offerings Are Hard to Navigate **Rating:** 3.0/5.0 stars **Reviewed by:** Robert Z. | President, Automotive, Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** September 02, 2026 **Describe the project or task Google Cloud Recommendations AI helped with:** I use Stremio to hosts a personal cloud media environment for my family. I use Google ai to help me find movie or tv show recommendations. I can ask it to show me the best options for a family night with my wife and 7 year old that should be funny and light hearted. It will send me 30 recommendations based on my prompt. The recommendations come with official movie covers, load screens images, it makes the experience feel more like Netflix but better! **What do you like best about Google Cloud Recommendations AI?** The google ai ecosystem is very confusing to me. They offer so many services and products that I honestly have a hard time knowing what product I am trying to use of theirs! Microsoft Azure has the same issue in my opinion but I am more familiar with Azure. Google AI is distinct with responses, when comparing with Anthropic and OpenAI. The responses have their own style and depth that I cannot fully articulate but it’s nice to get when comparing with a response from alternatives **What do you dislike about Google Cloud Recommendations AI?** They have so many product offerings that, for me, it’s hard to navigate and understand. Gmail is confusing to me, and a lot of Google’s overall software interface strategy is difficult for me personally to grasp. On top of that, Google seems to have about 150 different AI offerings under many different names, and those names don’t feel intuitive to me. **Recommendations to others considering Google Cloud Recommendations AI:** I use Stremio to hosts a personal cloud media environment for my family. I use Google ai to help me find movie or tv show recommendations. I can ask it to show me the best options for a family night with my wife and 7 year old that should be funny and light hearted. It will send me 30 recommendations based on my prompt. The recommendations come with official movie covers, load screens images, it makes the experience feel more like Netflix but better! **What problems is Google Cloud Recommendations AI solving and how is that benefiting you?** I use Stremio to hosts a personal cloud media environment for my family. I use Google ai to help me find movie or tv show recommendations. I can ask it to show me the best options for a family night with my wife and 7 year old that should be funny and light hearted. It will send me 30 recommendations based on my prompt. The recommendations come with official movie covers, load screens images, it makes the experience feel more like Netflix but better! ### 3. Lightning-Fast, Smart Real-Time Recommendations with Hands-Off Scaling **Rating:** 4.5/5.0 stars **Reviewed by:** Bilal M. | Research and Development Engineer, Medical Devices, Mid-Market (51-1000 emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 18, 2026 **What do you like best about Google Cloud Recommendations AI?** What I like most about Google Cloud Recommendations AI is that its intelligence is genuinely smart at spotting unusual user patterns that we definitely would have missed manually. We regularly use the "Others You May Like" and "Frequently Bought Together" models, and the way it works with real-time data is impressive; it adapts recommendations almost instantly as users browse. Performance-wise, the API calls are lightning-fast, which is critical for our site speed. On top of that, the fact that it automatically handles model training and autoscaling means my engineering team doesn’t have to spend hours babysitting infrastructure, and that has massively improved our deployment workflow. Getting the initial integrations set up was also very smooth because it plays nicely with BigQuery and Google Analytics 360. That meant we could pipe in our existing historical data without having to build an entirely new ETL pipeline. One unexpected benefit I found was how well it handled cold-start scenarios for new products with barely any traffic; it uses product metadata in a way that’s clever enough to start serving solid recommendations right away. In terms of pricing and ROI, the lift in average order value and conversion rate we saw almost immediately delivered a strong return on investment. Onboarding was straightforward thanks to the documentation and the console UI, although configuring IAM roles for different team members was a bit finicky at first. **What do you dislike about Google Cloud Recommendations AI?** What I dislike about Google Cloud Recommendations AI is that its pricing structure is extremely complex and can get expensive very quickly, especially since you pay separate fees for data ingestion, model training, and then per-thousand prediction requests. On the UI/UX side, the main dashboards look clean, but fine-tuning serving configs and troubleshooting why certain products are being recommended is tedious because there isn’t much visibility into things like model weights or feature importance. Performance and overall AI “intelligence” also vary a lot by product category. If your catalog includes many low-traffic items or short-lived seasonal products, the models can struggle with accuracy and often fall back to generic recommendations unless you add extra manual filtering logic, which defeats the purpose of using an automated solution in the first place. **What problems is Google Cloud Recommendations AI solving and how is that benefiting you?** Before we started using Google Cloud Recommendations AI, our product suggestion setup was a complete mess: static, hardcoded rules and basic “top sellers” widgets that showed the exact same items to everyone. With a small engineering team, we were constantly bogged down manually updating product carousels every week. It was tedious work, and engagement stayed poor because the suggestions weren’t relevant to what people were actually browsing in the moment. We used to rely on generic recommendations that took hours of manual curation each week, but now we can automatically serve personalized, real-time product suggestions powered by Google’s ML models. That shift has led to an 18% boost in our average order value (AOV) and a big jump in click-through rates. Implementation also saved our developers about 10–12 hours every week on manual merchandising tasks. And since the models retrain automatically and handle cold-start items on their own, our conversion rate on checkout-page upsells increased by nearly 22% within the first three months. ### 4. A Practical Solution for Personalized Recommendations **Rating:** 4.5/5.0 stars **Reviewed by:** Shiv K. | Maintenance Engineer, Manufacturing, Mid-Market (51-1000 emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 24, 2026 **What do you like best about Google Cloud Recommendations AI?** What I like most is how Google Cloud Recommendations AI uses customer behavior and product data to deliver relevant recommendations. The integration with Google Cloud makes it easier to connect product catalogs and user activity without building the recommendation logic from scratch. I also like the flexibility to customize recommendation models for different use cases. It has helped reduce manual analysis and made product discovery more personalized. The performance is reliable, and the unexpected benefit has been getting useful insights into what products or content users are most likely to engage with. **What do you dislike about Google Cloud Recommendations AI?** The initial setup can take some time, especially when configuring product catalogs, user events, and integrations. The documentation is helpful, but some parts could be more beginner-friendly with clearer examples and troubleshooting steps. Pricing can also be difficult to estimate upfront because costs depend on usage. I’d like to see simpler pricing guidance, easier monitoring of recommendation performance, and more straightforward onboarding for new users. **What problems is Google Cloud Recommendations AI solving and how is that benefiting you?** Before using Recommendations AI, we spent a lot of time manually analyzing user behavior and deciding which products or content to recommend. Now, it helps us automate personalized recommendations based on user activity and product data. This has reduced manual effort, improved product discovery, and made recommendations more relevant. The Google Cloud integration also makes it easier to connect our existing data and monitor performance. Overall, it helps us save time and improve the customer experience without having to build the recommendation logic from scratch. ### 5. Personalized, Real-Time Recommendations with Seamless Google Cloud Integration **Rating:** 4.5/5.0 stars **Reviewed by:** Subhashree S. | Developer, Computer Software, Enterprise (> 1000 emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **G2 Icon:** Our network of Icons are G2 members who are recognized for their outstanding contributions and commitment to helping others through their expertise. **Reviewed Date:** August 06, 2026 At G2, we prefer fresh reviews and we like to follow up with reviewers. They may not have updated their review text, but have updated their review. **What do you like best about Google Cloud Recommendations AI?** What I like best about Google Cloud Recommendations AI is its ability to deliver highly personalized recommendations using Google's machine learning infrastructure without requiring extensive expertise in recommendation systems. It can analyze user behavior and product data at scale to generate relevant suggestions in real time. The seamless integration with the Google Cloud ecosystem, scalability, and ease of deployment make it a valuable tool for improving user engagement, conversions, and overall customer experience. **What do you dislike about Google Cloud Recommendations AI?** Google Cloud Recommendations AI is powerful, but it performs best when it has access to large volumes of high-quality user interaction data. For smaller datasets, recommendation quality may be less effective. Customization options can also be limited for highly specific business requirements, and implementation costs may increase as data volume and traffic grow. Additionally, fine-tuning recommendation behavior is not always as flexible as building a custom recommendation engine. **What problems is Google Cloud Recommendations AI solving and how is that benefiting you?** Google Cloud Recommendations AI helps solve the challenge of delivering personalized experiences at scale by using machine learning to analyze user behavior, preferences, and product interactions. It reduces the effort required to build and maintain custom recommendation systems while improving content and product discovery. This benefits us by increasing user engagement, improving customer experience, enabling data-driven decisions, and helping deliver more relevant recommendations in real time ### 6. Real-Time, Tailored Recommendations at Scale—Smooth GCP Integration **Rating:** 4.5/5.0 stars **Reviewed by:** Muhammed A. | Technical Project Manager , Logistics and Supply Chain, Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **G2 Icon:** Our network of Icons are G2 members who are recognized for their outstanding contributions and commitment to helping others through their expertise. **Reviewed Date:** July 30, 2026 **What do you like best about Google Cloud Recommendations AI?** personalization at scale without needing an in-house data science team to build custom models. Recommendations feel genuinely tailored and update in near real-time as user behavior comes in, which lifts engagement over rule-based logic. Integration is smooth if you're already in the GCP ecosystem (BigQuery, Analytics) — the API is straightforward and fast enough for live user-facing use, not just batch reporting. It scales without manual tuning, and pay-as-you-go pricing keeps ROI easy to justify. **What do you dislike about Google Cloud Recommendations AI?** Setup has a real learning curve if you're not already deep in GCP's tooling — getting the data pipeline and catalog schema right takes some trial and error. Documentation covers the happy path well but gets thin on edge cases, like cold start for new users/items or debugging underperforming recommendations. Cost visibility is also fuzzy early on, making budgeting for a pilot harder than it should be. That's it — nothing wrong on my end, just overcorrected on length last time. Want me to keep everything this tight going forward for the rest of these G2 reviews? **What problems is Google Cloud Recommendations AI solving and how is that benefiting you?** It solves the problem of building personalized recommendations without a dedicated data science team, handling pattern recognition and real-time adjustment that would otherwise take months to build in-house, which has directly improved engagement and conversion compared to our old rule-based logic, while also removing the infrastructure burden of scaling under variable traffic so engineering time stays focused on the product instead of maintaining ML systems. ### 7. Google Cloud Recommendations AI: Simplifying Personalized Recommendations **Rating:** 4.5/5.0 stars **Reviewed by:** Jonah R E. | Follow Up Specialist, Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 05, 2026 **What do you like best about Google Cloud Recommendations AI?** What I like most about Google Cloud Recommendations AI is its ability to deliver personalized recommendations in real time, while still being straightforward to integrate and scale as needs grow. It helps create a better overall user experience without requiring deep or complex machine learning expertise on my end. **What do you dislike about Google Cloud Recommendations AI?** What I like least about Google Cloud Recommendations AI is that it can be challenging to set up and tailor to my needs. It performs well overall, but I wish the integration process were more straightforward and that I had more control over the recommendation logic and how it’s configured. **What problems is Google Cloud Recommendations AI solving and how is that benefiting you?** Google Cloud Recommendations AI helps me deliver more relevant recommendations without needing to build a recommendation system from scratch. It saves me time, improves the overall user experience, and allows me to focus on other important tasks instead of reinventing the wheel. ### 8. Real-Time Clickstream Recommendations That Adapt Instantly **Rating:** 4.5/5.0 stars **Reviewed by:** Santanu P. | Maintenance, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** September 28, 2026 **What do you like best about Google Cloud Recommendations AI?** Real-Time Clickstream Sensitivity: Rather than relying solely on overnight batch retraining, the model can absorb in-session user behavior as it happens. For example, if I’m browsing running shoes and then suddenly switch to waterproof trail gear, the recommendation feed adjusts within the same session instead of waiting until tomorrow’s model update. **What do you dislike about Google Cloud Recommendations AI?** Pricing at High Traffic Volumes: Google charges per recommendation request (tiered per 1,000 operations), plus additional compute costs for model training and tuning. For sites with millions of monthly pageviews that display multiple recommendation carousels per page (for example, on home, category, product detail, and cart pages), those API costs can compound quickly, especially when compared with open-source or self-hosted alternatives. **What problems is Google Cloud Recommendations AI solving and how is that benefiting you?** High Machine Learning Engineering Overhead: Building an in-house recommendation system often demands specialized ML teams to manage feature engineering, tune model architectures, maintain retraining pipelines, and handle load balancing and edge caching. Recommendations AI abstracts much of this complexity into a fully managed API, including automatic daily retraining and hyperparameter optimization. ### 9. Great for First-Time Visitors with Dynamic Self-Updating **Rating:** 4.0/5.0 stars **Reviewed by:** Utkarsh s. | Marketing head, Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** September 23, 2026 **What do you like best about Google Cloud Recommendations AI?** being a first time visitor earlier it handled me very well which i liked most and it updates itself dynamically **What do you dislike about Google Cloud Recommendations AI?** It is very sensitive; if any problem occurs, it goes back to 0. And for a deep learning device, there are no explanations or clear answers. also the pricng is too much for a single person to handle , sometimes support too becomes buggy **What problems is Google Cloud Recommendations AI solving and how is that benefiting you?** obviously it saves alot of time , there is no need for manual tagging . event driven updates free our team to focus on core things only . also the UI is very interactive which i like the most as it doesnt make you dull ### 10. Easy, Managed Real-Time Recommendations with Flexible Business Goal Optimization **Rating:** 4.5/5.0 stars **Reviewed by:** Udit P. | IT Trainee, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 21, 2026 **What do you like best about Google Cloud Recommendations AI?** What I like most is how Recommendations AI combines Google’s machine-learning expertise with a fully managed service, making it relatively easy to deliver real-time, personalized recommendations without having to build and maintain the entire recommendation pipeline. I also like the flexibility to optimize recommendations for business goals such as engagement, revenue, or conversions and apply business rules when needed. **What do you dislike about Google Cloud Recommendations AI?** The main drawback is that getting the best results can require careful data preparation, catalog structuring, and event tracking. Recommendations can also sometimes feel less precise for niche use cases, and the setup can become complex when more customization or business rules are needed. **What problems is Google Cloud Recommendations AI solving and how is that benefiting you?** Google Cloud Recommendations AI solves the challenge of delivering personalized, relevant product recommendations at scale without having to build and maintain a recommendation engine in-house. It helps us use customer behavior and product data to surface more relevant products, improve product discovery, and potentially increase engagement and conversions. The fully managed nature of the service also reduces the effort required for model training, infrastructure, and ongoing optimization, allowing the team to focus more on the business use case. ### 11. Smart recommendations that make personalization easier **Rating:** 5.0/5.0 stars **Reviewed by:** Sonu P. | Design engineer, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 14, 2026 **What do you like best about Google Cloud Recommendations AI?** What I find most interesting about Google Cloud Recommendations AI is that it lets you customize product recommendations without having to build an entire recommender system from scratch. I’m especially impressed with how it can use customer and product information to generate relevant recommendations based on user behavior. It also works well with other Google Cloud services, which helps keep data management and workflows streamlined. One unplanned but welcome side effect is that higher-quality recommendations make the experience feel more personal for users, while also reducing the heavy lift of figuring out which products to display. **What do you dislike about Google Cloud Recommendations AI?** What I don’t like is how long it takes to get started, especially when you’re configuring the data and working through all the options. The documentation is useful, but some parts could use more explanation for new users. It can take a bit of experimentation to land on the right recommendation settings. Having more examples and clearer feedback during setup would be preferable, and a more guided setup process would make the overall experience easier. **What problems is Google Cloud Recommendations AI solving and how is that benefiting you?** Before using Recommendations AI, it was hard to offer users product suggestions they would actually be interested in without spending a substantial amount of time coding and maintaining the recommendation logic. Now, by leveraging customer behavior and product data, we can provide more personalized suggestions. This improves the user experience while reducing the man-hours required from our staff. It also makes it easier to try different recommendation strategies and see which approach fits each individual best. ### 12. Powerful Cold-Start Recommendations Optimized for Real Revenue Metrics **Rating:** 4.5/5.0 stars **Reviewed by:** Sayan S. | Any, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 08, 2026 **What do you like best about Google Cloud Recommendations AI?** What stands out most to me is how well it tackles the cold-start problem while optimizing for real business outcomes, not just clicks. By leveraging deep learning, it can accurately recommend newly added catalog items and still engage first-time visitors with no historical data, combining item metadata with real-time session signals. Most importantly, it allows you to optimize directly for revenue, order value, and conversions, backed by a fully managed pipeline that automatically takes care of hyperparameter tuning and traffic scaling. **What do you dislike about Google Cloud Recommendations AI?** While Google Cloud Recommendations AI is powerful, it has a few notable drawbacks in my opinion. High pricing and predictability concerns: The usage-based pricing is tied to prediction volume and catalog size, so costs can climb quickly for high-traffic platforms or large inventory feeds. Rigid “black box” models: Because it relies heavily on pre-built AutoML architectures, developers have limited visibility and little fine-grained control over model weights, which makes custom ML adjustments difficult. Strict schema and integration setup: The initial catalog configuration and real-time user-event tracking (views, add-to-carts, purchases) require very precise formatting, which creates a steep setup curve. Vendor lock-in: It works best when it’s deeply integrated with GCP data tools (like BigQuery), which can make it harder to migrate later or run smoothly across non-Google infrastructure. **What problems is Google Cloud Recommendations AI solving and how is that benefiting you?** Google Cloud Recommendations AI Solved and that benefits me are as below Information Overload & Search Friction: Helps users navigate large, complex product or content catalogs by surfacing relevant items instantly without requiring manual search. Cold-Start Limitations: Recommends relevant items even when new products lack purchase history or new visitors have no prior interaction profile. Low Conversion & Abandonment Rates: Addresses cart abandonment and bounce rates by predicting real-time purchase intent during a session rather than relying solely on past purchase history. Heavy ML Engineering Overhead: Eliminates the need for businesses to manually build, tune, and scale complex recommendation infrastructure or algorithms from scratch. Key Business & Experience Benefits For Digital Businesses & Merchants: Directly drives commercial KPIs like Average Order Value (AOV), conversion rates (CVR), and revenue per visit through automated cross-selling and upselling. For End Users: Reduces decision fatigue and creates a smoother, more tailored browsing experience by surfacing complementary products or relevant media content at the right moment. ### 13. Personalized, Relevant Recommendations with Google Cloud Recommendations AI **Rating:** 4.5/5.0 stars **Reviewed by:** Philan M. | Data analyst, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 19, 2026 **What do you like best about Google Cloud Recommendations AI?** I like how Google cloud Recommendations Ai makes recommendations more personalised and relevant to users. It helps businesses understand customer preferences and preferences and behaviour more effectively. **What do you dislike about Google Cloud Recommendations AI?** The initial setup can be a little complicated, especially when preparing and organizing the required data. It can also take some time before the recommendations become accurate and useful. I think the interface could be a bit more intuitive for beginners. Pricing can also become a concern for smaller businesses depending on usage. **What problems is Google Cloud Recommendations AI solving and how is that benefiting you?** It helps solve the problem of showing the same products or content to every customer. It uses customer behaviour and preferences to provide more relevant recommendations. This makes it easier for customers to discover products they are likely to be interested in. For the business, it can improve engagement, conversions and overall customer experience. ### 14. Solid Personalization Support but Requires Technical Setup Assistance Initially. **Rating:** 4.0/5.0 stars **Reviewed by:** Pooja k. | Media Planner, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 30, 2026 **What do you like best about Google Cloud Recommendations AI?** I was involved primarily with campaign planning and audience planning. Naturally understanding interests was always key. Recommendations AI allowed us to approach customer behavior from a new lens rather than relying solely on past campaign insights. I enjoyed that it can process high volumes of data and provides actionable insight when brainstorming for personalization. **What do you dislike about Google Cloud Recommendations AI?** Learning how to use it was not extremely intuitive from a marketing perspective. I needed to rely on my technical teams for some setup and understanding of the mechanics behind it all. **What problems is Google Cloud Recommendations AI solving and how is that benefiting you?** Before Recommendations AI, audience planning was traditionally driven by campaign history, research, and manual data interpretation. This allowed us to introduce more data-driven mindset when developing personalization. With media planning it provides an additional layer of audience preference. ### 15. Powerful Adaptive ML Recommendations That Boost Click-Through Rates **Rating:** 4.5/5.0 stars **Reviewed by:** Swaraj S. | Incoming Quality Control , Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** September 28, 2026 **What do you like best about Google Cloud Recommendations AI?** What I like best is its powerful machine learning models that automatically adapt to customer behavior. It handles large-scale catalogs effortlessly, saves manual merchandising effort, and drives higher click-through rates **What do you dislike about Google Cloud Recommendations AI?** It requires a significant volume of historical user data to provide highly accurate recommendations, making the cold-start phase challenging. The documentation could also be improved with more detailed real-world troubleshooting guides. **What problems is Google Cloud Recommendations AI solving and how is that benefiting you?** It solves the challenge of manually curating relevant product suggestions for diverse users. By automating real-time personalization, it has improved our customer engagement, boosted average order value (AOV), and significantly reduced manual merchandising workload. ### 16. Helpful Consumer Search Insights, Though Results Can Be Inexact and Costs Vary **Rating:** 3.5/5.0 stars **Reviewed by:** Sibahle N. | Customer Service Representative, Banking, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 11, 2026 **What do you like best about Google Cloud Recommendations AI?** It helps retailers know what consumers are searching for so that they can suggest those products more accurately **What do you dislike about Google Cloud Recommendations AI?** What I dislike about Google Cloud Recommendations AI is that the recommendations aren’t always as accurate or precise as I’d expect, which can affect the overall user experience. I’ve also found that the costs can sometimes be higher than anticipated, especially when usage increases, making it harder to predict and manage expenses **What problems is Google Cloud Recommendations AI solving and how is that benefiting you?** It helps you understand your customers better by giving you insights into their preferences and buying behaviour. This also reduces the risk of spending money on products that may not sell, because you can make better decisions based on what customers are actually interested in ### 17. Powerful AI Recommendations with Easy Personalization **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Education Management | Small-Business (50 or fewer emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **AI Translated:** This review has been translated from English using AI. **Reviewed Date:** September 25, 2026 At G2, we prefer fresh reviews and we like to follow up with reviewers. They may not have updated their review text, but have updated their review. **What do you like best about Google Cloud Recommendations AI?** What I like best about Google Cloud Recommendations AI is its ability to deliver personalized recommendations using machine learning. It helps businesses understand user behavior and provide relevant products or content, improving user experience and engagement. **What do you dislike about Google Cloud Recommendations AI?** The main thing I dislike is that it can be complex to set up and configure, especially for beginners. It may also require good-quality user data and technical knowledge to get the best results. **What problems is Google Cloud Recommendations AI solving and how is that benefiting you?** Google Cloud Recommendations AI helps solve the problem of providing relevant and personalized recommendations to users. It uses user behavior and data to suggest products or content that are more likely to match their interests. This saves time, improves user experience, and can increase engagement and conversions. ### 18. Zero Infrastructure Management with a Simple, Time-Saving GUI **Rating:** 4.5/5.0 stars **Reviewed by:** Rosan C. | Student, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** September 28, 2026 **What do you like best about Google Cloud Recommendations AI?** Zero infrastructure management saves a lot of time. However, AI model training can take a long time. The GUI is simple and easy to use, but for beginners it can still feel confusing at first, so it helps to read through the documentation once before getting started. **What do you dislike about Google Cloud Recommendations AI?** It’s not budget-friendly, it doesn’t show the model weights, and it has performance limitations. **What problems is Google Cloud Recommendations AI solving and how is that benefiting you?** Zero infrastructure management, with inbuilt API support that makes things quick and fast. ### 19. Perfectly Trained AI Models with Real-Time Customization and Strong Privacy **Rating:** 4.5/5.0 stars **Reviewed by:** arnab s. | Technical Support Specialist, Information Technology and Services, Mid-Market (51-1000 emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **G2 Icon:** Our network of Icons are G2 members who are recognized for their outstanding contributions and commitment to helping others through their expertise. **Reviewed Date:** August 07, 2026 **What do you like best about Google Cloud Recommendations AI?** one of the perfectly trained AI models, rel time customisation, multiple recommendations like IAM, cyber security AI, the security features and privacy, fully managed service **What do you dislike about Google Cloud Recommendations AI?** mainly designed for e commerce uses, initial data and event tracking can require much effort **What problems is Google Cloud Recommendations AI solving and how is that benefiting you?** best for e commerce product and retail, inline marketplaces, easy to implement and maintain customer data within secure environment ### 20. Robust App Scripting with Gemini API Sequencing on Google Cloud **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Consumer Electronics | Enterprise (> 1000 emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 27, 2026 **What do you like best about Google Cloud Recommendations AI?** I prefer it as a tool that helps in conjunction with Gemini’s API sequencing. It’s considered to be one of the most robust waste for app scripting when using Google cloud. **What do you dislike about Google Cloud Recommendations AI?** One thing that I wish would be improved upon when it comes to the AI for Google cloud would be is the ability for the artificial intelligence to not speak to you like as if you were a four year-old child I believe that there are improvements and ways to the system that can help increase the efficacy of responses versus just a redundancy of repeating poor responses. **What problems is Google Cloud Recommendations AI solving and how is that benefiting you?** So the ability to work fast helps us improve the efficiency and the logistical speed of being able to improve Gemini speed ### 21. Fast Time-Saver, Thorough Answers Aren’t Always Comprehensive **Rating:** 3.5/5.0 stars **Reviewed by:** Gary W. | Real Estate Agent, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 27, 2026 **What do you like best about Google Cloud Recommendations AI?** I like how the answers are almost immediate and it saves me time from doing my own research **What do you dislike about Google Cloud Recommendations AI?** Sometimes it takes quite long to give me an answer or the answer is not that comprehensive **What problems is Google Cloud Recommendations AI solving and how is that benefiting you?** It helps me do research that used to require me to manually search questions one by one but with Google Cloud it comes up with a very comprehensive answer and also prompts me to ask further probing questions ### 22. Boosted My Efficiency and Organized My Work **Rating:** 5.0/5.0 stars **Reviewed by:** Gabriela M. | RSPS, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through Google using a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 28, 2026 **What do you like best about Google Cloud Recommendations AI?** It has helped me be more time-efficient and better organize my work. My experience is definitely worth every single dime I have invested in this product/service. **What do you dislike about Google Cloud Recommendations AI?** I like everything about it, and I have no complaints. Sometimes its refinements need to be regenerated because they end up being too long. **What problems is Google Cloud Recommendations AI solving and how is that benefiting you?** It’s helped me organize my ideas more clearly and actually put them into action. ### 23. So Easy to Use for Everyone—even Kids **Rating:** 5.0/5.0 stars **Reviewed by:** Kristy H. | Licensed Agent, Insurance, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Organic Review from User Profile:** Invitation from G2. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** August 26, 2026 **What do you like best about Google Cloud Recommendations AI?** So easy to use, not only for me but my coworkers and even children. **What do you dislike about Google Cloud Recommendations AI?** Surprising at this time nothing that I can think of. **What problems is Google Cloud Recommendations AI solving and how is that benefiting you?** When you don't know the right words to say or you need help generating something AI is right there to help. ### 24. Beyond Standard Algorithms: Google Cloud Recommendations AI Reviewed **Rating:** 4.0/5.0 stars **Reviewed by:** Kirstie M. | Administration, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 27, 2026 **What do you like best about Google Cloud Recommendations AI?** Managed Infrastructure, Real-Time Personalization **What do you dislike about Google Cloud Recommendations AI?** Initial Setup Effort, requires meticulous upfront integration work **What problems is Google Cloud Recommendations AI solving and how is that benefiting you?** It directly targets the core technical and commercial friction points that traditional recommendation systems face ### 25. Google Cloud Recommendations AI for Learning Platform Projects Analysis **Rating:** 4.0/5.0 stars **Reviewed by:** Matt H. | Business Analyst, Consulting, Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through Google using a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** March 02, 2024 At G2, we prefer fresh reviews and we like to follow up with reviewers. They may not have updated their review text, but have updated their review. **What do you like best about Google Cloud Recommendations AI?** As a Business Analyst Consultant, I leverage Google Cloud Recommendations AI to create personalized learning experiences for clients' platforms. Its ability to analyze user behavior and suggest relevant content is invaluable. This customized approach was essential when tailoring a learning platform for a recent client, fostering deeper engagement by going beyond static course structures. **What do you dislike about Google Cloud Recommendations AI?** To ensure optimal results, be prepared for a potentially complex setup process. Invest time in carefully tagging your videos and structuring your content library – this will enhance the AI's effectiveness within your solution. **What problems is Google Cloud Recommendations AI solving and how is that benefiting you?** Recommendations AI addresses the limitations of one-size-fits-all learning, ensuring each learner has a unique and beneficial path. This personalized approach boosts engagement and will be a key feature for our upcoming platform launch. It also helps learners quickly discover relevant content, promoting a seamless learning experience. ### 26. recommedations master **Rating:** 4.5/5.0 stars **Reviewed by:** manohar r. | sales froce admin, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** March 04, 2024 **What do you like best about Google Cloud Recommendations AI?** Recommendations AI really works well on our product detail pages and helps in breaking down the details easily and it is very easy in implementation of the product. **What do you dislike about Google Cloud Recommendations AI?** we guess the pricing is a bit on the higher side for now, maybe if the revenues improves progressively then the pricing will be justified. **What problems is Google Cloud Recommendations AI solving and how is that benefiting you?** it has a very good machine-learning base. As a company, we are using now the product to filter and fine-tuning what customers get to see from our page, we are later thinking of implementing the product into others acpeects. ### 27. Great experience in the Google AI **Rating:** 3.5/5.0 stars **Reviewed by:** Maureen H. | Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** March 15, 2024 **What do you like best about Google Cloud Recommendations AI?** I love how it is a simple interface and allows me to not be a tech expert to use! It gives me exceptional recommendations based upon my needs. **What do you dislike about Google Cloud Recommendations AI?** I have not run into any downsides yet. It works the way it is supposed to. **What problems is Google Cloud Recommendations AI solving and how is that benefiting you?** It directs me to certain products and services I need, just by simply learning what I need by use. I have found products and services I would not on my own even think about using or looking for. ### 28. very good **Rating:** 4.5/5.0 stars **Reviewed by:** Kesavan K. | Senior System Engineer, Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** February 27, 2024 **What do you like best about Google Cloud Recommendations AI?** Most liked feature of Google cloud is Clear documentation along with examples **What do you dislike about Google Cloud Recommendations AI?** As of now we couldn't find any difficulties with google cloud **What problems is Google Cloud Recommendations AI solving and how is that benefiting you?** Google cloud AI giving us wide variety of AI models to explore more things ### 29. Efficient and effective tool to deploy a recommendation system **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Publishing | Enterprise (> 1000 emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** March 09, 2024 **What do you like best about Google Cloud Recommendations AI?** It helps to save time, resources and money while providing a great service. It is a great platform that allows us to offer personalised recommendations to customers leading to happy customer experience. In addition, it manages a huge amount of data with ease. **What do you dislike about Google Cloud Recommendations AI?** The only thing I dislike about Google Cloud Recommendations AI is that the recommendations can sometimes be very limited. **What problems is Google Cloud Recommendations AI solving and how is that benefiting you?** It saves us a lot of time and resources by providing a service for which ideally we might require a team of different people like data engineers,Machine learning experts and data analysts. It enhances customer experience, saves costs and thus leads to increased profits. ### 30. Cloud Recommendations is Spot ON ! **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Services | Mid-Market (51-1000 emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** March 12, 2024 **What do you like best about Google Cloud Recommendations AI?** I have been using Google Cloud Recommendations for quite some time now, and it has certainly helped in easing my work or to write an email. Integration looks quite simple to other applications. The recommendations are quite spot ON. **What do you dislike about Google Cloud Recommendations AI?** I assume that this would need some more time to get it matured. On few occasions, it recommends words/letter based on the ML but not on user preference. If this works out well, then it would be so much fun to use. **What problems is Google Cloud Recommendations AI solving and how is that benefiting you?** Easy user experience for products, close collaboration between GCP and our company, power / scalability of infrastructure ### 31. Amazing experience **Rating:** 4.5/5.0 stars **Reviewed by:** Oyeshika D. | Talent Strategy Analyst, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** February 29, 2024 **What do you like best about Google Cloud Recommendations AI?** The personalisation that the AI leverages to analyse user behaviour and preferences. The AI employs advanced machine learning models to generate accurate and relevant recommendations **What do you dislike about Google Cloud Recommendations AI?** User interface and automated optimisation can be worked upon and made better **What problems is Google Cloud Recommendations AI solving and how is that benefiting you?** It helps us generate algorithms to analyse user behaviour and preferences enabling us to provide personalised recommendations. It also seamlessly integrates with other Google Cloud services like Google Analytics ### 32. Save time with Google AI **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Education Management | Small-Business (50 or fewer emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** March 14, 2024 **What do you like best about Google Cloud Recommendations AI?** The advanced prediction model used in the AI helps in understanding the customer's taste and preference, it perfectly aligns with each customer's needs and makes our job easy. **What do you dislike about Google Cloud Recommendations AI?** Everything works fine and they keep improving with each update. **What problems is Google Cloud Recommendations AI solving and how is that benefiting you?** Pooling the resumes based on the skill set for the job. ### 33. From heavy coding to smooth recommendations **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** March 03, 2024 **What do you like best about Google Cloud Recommendations AI?** The best thing which i like about GCRA is the smoothness of the flow and ability to choose bigquery asa data source. **What do you dislike about Google Cloud Recommendations AI?** In short if i say UI/UX. The way the selections are organized doesn't look very attractive. **What problems is Google Cloud Recommendations AI solving and how is that benefiting you?** The heavy coding which is required to create a recommendation system is eliminated by gcra. ### 34. Among competitors in the market google is solid **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Marketing and Advertising | Mid-Market (51-1000 emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** March 02, 2024 **What do you like best about Google Cloud Recommendations AI?** Integration is not so difficult, but we're still at early stages to fully judge it. **What do you dislike about Google Cloud Recommendations AI?** It's still too early to tell, we're still piloting with the Integration. **What problems is Google Cloud Recommendations AI solving and how is that benefiting you?** We usually used scoring system to give recommendations, but adding the flavor of AI is increasing the accuracy. ### 35. Recommendation for products **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** February 29, 2024 **What do you like best about Google Cloud Recommendations AI?** The best part is the ease of use and no heavy lifting needed **What do you dislike about Google Cloud Recommendations AI?** The recommendations could be more precise and accurate. **What problems is Google Cloud Recommendations AI solving and how is that benefiting you?** I was trying to build an easy to use product recommendation system from out of the box GCP services. ## Google Cloud Recommendations AI Discussions - [How hard was it to configure Google Cloud Recommendations AI for real-time personalization at scale?](https://www.g2.com/discussions/how-hard-was-it-to-configure-google-cloud-recommendations-ai-for-real-time-personalization-at-scale) - [View Google Cloud Recommendations AI pricing details and edition comparison](https://www.g2.com/products/google-cloud-recommendations-ai/reviews?section=pricing&secure%5Bexpires_at%5D=2026-09-29+08%3A09%3A11+-0500&secure%5Bsession_id%5D=34c5a637-f1f9-4f3c-87a9-39baae30e9a9&secure%5Btoken%5D=5d34512d3f42ea2d0c4346bc319680f2b4d666112c192dd83753996ba46496c7&format=llm_user) ## Google Cloud Recommendations AI Features **Additional Functionality** - Tagging - Natural Language Processing - Data Extraction - Multi-Language - Predictive Analytics - Drag & Drop - Speech Recognition - Reporting/Analytics - Data Storage Management - Virtual Personal Assistant (VPA) - AI Copilot - Customer Segmentation - Collaboration Tools - Data Import/Export - Generative AI - For eCommerce - Role-Based Permissions - Customizable Branding - Search/Filter - Monitoring - Document Management - API - Data Visualization - Trend Analysis - Machine Learning - Access Controls/Permissions - Alerts/Escalation - Performance Metrics - Real-Time Data - Third-Party Integrations - Mobile App - Multiple Data Sources - For Sales Teams/Organizations - Sentiment Analysis - Activity Dashboard - Chatbot - Workflow Automation **Integration - Machine Learning** - Integration - Third-Party Integrations **Learning - Machine Learning** - Training Data - Actionable Insights - Algorithm **Additional Functionality** - Predictive Modeling - Configurable Workflow - Tagging - Data Import/Export - API - Predictive Analytics - Data Visualization - Endpoint Management - Multiple Data Sources - No-Code - Data Preparation - Auditing - Collaboration Tools - Big Data Analytics - ML Algorithm Library - Data Management - Activity Dashboard - Data Capture and Transfer - Activity Tracking - Data Connectors - Data Security - Data Extraction - Reporting & Statistics - Workflow Management - AI Copilot ## Top Google Cloud Recommendations AI Alternatives - [Phrase](https://www.g2.com/products/phrase-phrase/reviews) - 4.5/5.0 (1,321 reviews) - [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) - 4.3/5.0 (778 reviews) - [Automation Anywhere Agentic Process Automation](https://www.g2.com/products/automation-anywhere-agentic-process-automation/reviews) - 4.5/5.0 (4,119 reviews)