As our digital ecosystem becomes increasingly influenced by AI-powered search, we wanted a more structured way to understand what happens when customers ask AI assistants questions related to home improvement, DIY, renovation, gardening, and similar topics.

We used SE Ranking's Prompt-Based Tracking to move beyond occasional manual checks. We created groups of prompts around different areas of our business and monitored the responses over time, paying particular attention to whether Leroy Merlin was mentioned and which competing retailers appeared instead.

The ability to keep the prompts consistent was important for us. It meant we could revisit the same questions periodically rather than relying on someone manually testing different variations each time. We could then compare the results and identify patterns in how our brand was being represented across AI-generated answers.

This also gave our development and digital teams a useful source of information when discussing how our website content and broader search strategy need to evolve. For a large e-commerce environment, having a repeatable way to monitor AI responses is much more useful than simply taking occasional screenshots of AI results. Review collected by and hosted on G2.com.

The prompt tracking functionality is useful, but we'd like even more flexibility when managing large prompt sets. More advanced filtering by market, language, search intent, and product category would be particularly helpful for an international retailer with a broad range of home improvement topics Review collected by and hosted on G2.com.

We were looking for a more practical way to bring AI search data into our existing digital workflow rather than having the team manually check AI responses and compile the findings separately. The MCP Integration was particularly interesting because it allows AI assistants and automation tools to work directly with live AEO data.

We used the MCP connection to query current AEO information and experiment with automated monitoring around topics relevant to our e-commerce business. This gave us a more efficient way to investigate how products, categories, and our brand were represented in AI-generated answers without having to switch between several different platforms.

The ability to build AI monitoring agents and generate automated reports was another useful part of the workflow. Instead of treating AEO analysis as an occasional manual exercise, we could incorporate it into recurring digital performance checks. We also found the custom dashboard capability helpful for bringing the information into a format that was easier for different members of the team to review.

What I particularly like is that the MCP integration doesn't require us to abandon our existing SEO processes. We can bring AEO insights into the workflows we're already using and look at traditional search and AI visibility together. Review collected by and hosted on G2.com.

The MCP functionality is a relatively new area for our team, so we're still exploring everything that can be done with it. More ready-made automation templates for common e-commerce use cases would be helpful, particularly for monitoring large numbers of product and category-related queries.

I'd also like to see even more flexibility when configuring automated agents and dashboards as the use of AI search data becomes a larger part of our reporting process. Review collected by and hosted on G2.com.

As our digital marketing team started seeing AI-powered search become a bigger part of how customers research beauty products and brands, we wanted a reliable way to measure how often Druni appeared in those experiences. Traditional SEO reporting remained important, but it didn't provide insight into how AI answer engines were presenting our brand.

We've primarily used AI Answer Visibility Tracking to monitor our presence across relevant beauty and personal care searches. Rather than checking responses manually, we created a set of recurring prompts related to skincare, fragrances, cosmetics, and product recommendations and reviewed how often our brand appeared over time.

What we found most useful was being able to track visibility consistently instead of relying on one-off searches. The historical data helped us identify trends, evaluate whether content updates were improving our presence, and bring AI visibility into the same reporting discussions as our SEO and e-commerce metrics.

The platform is straightforward to use, and the reporting makes it easy to share insights across the marketing team without requiring extensive manual analysis. Review collected by and hosted on G2.com.

The AI tracking capabilities are already valuable, but additional segmentation by country, language, and individual AI platform would make the insights even more actionable for retailers serving different customer markets. More customizable dashboards would also help tailor reports for different stakeholders. Review collected by and hosted on G2.com.

As part of our performance marketing work, we've been exploring how AI-powered search is changing the way people discover brands and services. We introduced SE Ranking to better understand how our clients were appearing in AI-generated answers and to add another layer of insight alongside our existing SEO and paid media reporting.

The two features we've used most are AI Answer Visibility Tracking and Brand Mention Tracking. For several client campaigns, we built lists of branded and industry-specific prompts and monitored how often our clients appeared in AI-generated responses over time. Rather than relying on manual searches, we had a consistent way to measure AI visibility and identify trends.

Brand Mention Tracking became particularly useful during content planning. By reviewing which prompts generated mentions of our clients and which surfaced competing brands instead, we could identify gaps in topical coverage and adjust content recommendations accordingly. These insights were discussed during our monthly client reviews alongside traditional search and campaign performance metrics, providing a more complete view of digital visibility.

The dashboards are intuitive, and it's easy to share findings across SEO, content, and paid media teams. Review collected by and hosted on G2.com.

The AI monitoring features are already valuable, but we'd like to see more segmentation by country, language, and individual AI platform. Additional customization for agency reporting would also make it easier to manage multiple client accounts and tailor reports to different stakeholders. Review collected by and hosted on G2.com.

As our search marketing team started seeing more shoppers use AI-powered search to research fashion brands and products, we wanted to understand how our visibility compared with other retailers. We introduced SE Ranking to complement our existing SEO and SEM reporting, with a particular focus on Competitor AEO Research.

The feature became part of our monthly competitive analysis process. We monitored how our brand compared with other fashion retailers by reviewing brand mentions, AI citations, AI-generated links, frequency of appearance, and historical performance across AI-generated answers. This gave us a much broader perspective than keyword rankings alone and helped us understand how AI platforms were presenting brands to potential customers.

Historical performance was especially useful because it allowed us to see whether our content and optimization efforts were improving AI visibility over time rather than relying on one-off checks. We also used the competitor insights to identify categories where competing brands were consistently receiving more AI exposure, helping us prioritize content updates and product-focused landing pages.

The reports are easy to understand and fit well into our regular search performance reviews alongside traditional SEO and paid search metrics. Review collected by and hosted on G2.com.

The AI competitor analysis has been valuable, but we'd like to see additional segmentation by country and language. Since we operate across multiple European markets, market-specific AI visibility reporting would make the insights even more actionable. More export options for agency-style reporting would also be a welcome improvement. Review collected by and hosted on G2.com.

I appreciate the ease of use and the comprehensive site tracking. I needed a tool that would save me time, and that's exactly what SE Ranking does. I can track multiple projects on a single platform, easily see which keywords to rank for, and get insights on competitors. The price also motivated me to switch to SE Ranking. Review collected by and hosted on G2.com.

I would like SE Ranking to improve the tracking and analysis of Google advertising campaigns and on other platforms, as well as the tracking of mentions by AIs and the queries to work on for AIs. The site audits are good, but they sometimes don't take everything into account: for example, they don't comment on pages where all the texts are in H2 or H3, don't always flag incorrect FAQ markup, and don't check the page schema. I would like the audits to detail their recommendations and analysis more, and for an integrated AI to help me with daily project tracking. Review collected by and hosted on G2.com.

The pricing is interesting, the databases in multiple languages with information that seems good like search volume performance, Competitive Research and Keyword Research tools, support, ease of navigating the platform. I haven't noted any particular elements regarding AI features and I'm not particularly a fan of AI features, as the AI tracking tools seem to offer moderately reliable results. The ability to connect Google Search Console. The platform is generally fast. Review collected by and hosted on G2.com.

I don't like the fact that you can't have a visibility evolution graph when analyzing a subdomain in "Competitive Research" even though you already have the data, it would be a very quick feature to implement. Review collected by and hosted on G2.com.

As a full-service digital agency, we're constantly evaluating how search behavior is evolving and how AI-generated answers influence brand discovery. One of the reasons we introduced SE Ranking was to better understand which sources AI platforms rely on when generating responses and how that information could improve the strategies we develop for clients.

We've primarily used AI Citation Analysis as part of our research and content planning workflow. Before building content strategies or reviewing competitor performance, we analyze the websites and publications AI models reference for industry-specific prompts. This helps us understand which sources are influencing AI-generated answers and where there may be opportunities to strengthen our clients' authority through better content or broader digital visibility.

Instead of simply tracking rankings, we now have another layer of insight that supports our SEO and content recommendations. The reports are easy to interpret, making them useful during internal strategy sessions and client discussions. Review collected by and hosted on G2.com.

The AI Citation Analysis feature already provides valuable insights, but we'd like to see more advanced filtering by industry, language, and geographic market. Additional historical reporting on how citation sources change over time would also help agencies monitor long-term trends and measure the impact of content initiatives more effectively. Review collected by and hosted on G2.com.

Our team has been monitoring how AI-generated search experiences are influencing brand discovery, and we introduced SE Ranking to add a more structured approach to that analysis. We primarily used Prompt-Based Tracking and Historical AI Performance to understand how brands were appearing across AI answer engines and how that visibility changed over time.

Prompt-Based Tracking became part of our research workflow during campaign planning. We created groups of branded, non-branded, and industry-specific prompts relevant to our clients and monitored how AI platforms responded to those questions. Rather than relying on occasional manual searches, we could consistently review which prompts mentioned our clients, which highlighted competitors, and how those responses evolved as content strategies changed.

Historical AI Performance was equally valuable because it allowed us to compare AI visibility over weeks and months instead of looking at isolated snapshots. During quarterly performance reviews, we used those trends alongside SEO, paid media, and content metrics to better understand whether our optimization efforts were improving overall brand presence within AI-generated search.

The platform makes this information easy to interpret and has helped our strategy and performance teams incorporate AI visibility into broader digital reporting without adding unnecessary complexity. Review collected by and hosted on G2.com.

The AI monitoring capabilities are already useful, but we'd like to see additional filtering by individual AI platform and more advanced segmentation by market and audience. For larger agency teams, enhanced collaboration and enterprise reporting options would also make it easier to manage multiple client programs. Review collected by and hosted on G2.com.

Our team has been using SE Ranking on a monthly subscription for over two years as part of our broader search and performance marketing workflow. As AI-powered search has become increasingly relevant, we wanted a reliable way to understand not only whether brands were appearing in AI-generated responses, but also why they were appearing.

The two features we've relied on most are AI Citation Analysis and AI Response Monitoring.

AI Citation Analysis has been particularly valuable during competitor research and content audits. We regularly review which publishers, websites, and sources AI engines reference for industry-specific prompts. That information has helped us identify content gaps, evaluate the authority of different sources, and make more informed recommendations around digital PR and content strategy.

We've also incorporated AI Response Monitoring into our monthly reporting process. Instead of manually checking the same prompts across different AI platforms, we monitor how responses change over time, compare the wording AI engines generate, and evaluate whether content updates are reflected in future responses. Having this historical view has been useful when discussing long-term visibility trends with both internal teams and clients.

The platform is intuitive, and having these AI-focused insights alongside traditional SEO reporting makes it much easier to evaluate search performance from multiple perspectives. Review collected by and hosted on G2.com.

The AI capabilities have continued to improve during the time we've been using the platform. As adoption grows, we'd like to see even deeper filtering by AI engine, additional collaboration features for larger agency teams, and more advanced export options for enterprise reporting. Those enhancements would make it even easier to incorporate AI insights into client deliverables. Review collected by and hosted on G2.com.