SE Ranking Reviews & Product Details

As a specialist advisory firm, our digital presence needs to communicate credibility and expertise to a very specific audience. With more people using AI assistants to research financial services and advisory firms, we wanted to understand not only whether THALIA was being mentioned, but whether those AI-generated conversations were actually providing a path back to our website.

We found Website Link Tracking particularly useful for this. It allows us to distinguish between situations where an AI engine mentions THALIA and those where it actually includes a link to our website.

That distinction is important for us. A brand mention can indicate that an AI platform recognizes the firm, but a linked mention provides a much clearer indication that the platform is directing users toward our own digital presence. We monitor relevant prompts around debt advisory, financing solutions, family offices, private capital, and related topics to see where our website is being surfaced.

Being able to compare linked versus unlinked mentions has given us a more nuanced view of our AI visibility. It also helps us identify topics where our brand is being recognized but where there isn't necessarily a direct path for users to explore our services further. Review collected by and hosted on G2.com.

The link tracking is useful, although we'd like more detail around the context of each linked mention and additional filtering by market and AI platform. For a specialist financial-services firm, being able to segment results by topic and audience would make the analysis even more useful. Review collected by and hosted on G2.com.

As a large omnichannel retailer, we already have established ways of monitoring search performance, competitors, and customer behavior. What we were missing was a reliable way to understand what AI platforms actually say when customers ask questions related to our products, services, and competitors.

That's where AI Response Monitoring has been particularly useful. We created a set of prompts around electronics, appliances, product recommendations, pricing, customer service, and other topics relevant to our retail business. Instead of simply recording whether Darty appeared, we could review the actual text generated by AI engines in response to those questions.

This gave us much more context than a simple visibility score. We could see how Darty was positioned within the response, what aspects of our offering were being emphasized, and how competitors were being described in the same conversation.

The ability to compare responses over time is another feature we found valuable. AI-generated answers can change, so looking at individual responses isn't enough. By monitoring the same prompts repeatedly, we could identify changes in how our brand was represented and use those observations as an additional input for our content and digital strategy. Review collected by and hosted on G2.com.

The response monitoring is useful, but we'd like more advanced ways to organize large prompt sets, particularly by product category, customer intent, and market. More detailed comparisons between AI platforms would also make it easier to understand differences in how individual engines present the same brand. Review collected by and hosted on G2.com.

It's no longer enough to know where our pages rank in traditional search; we also want to understand which sources AI platforms consider relevant when answering questions related to fashion, interiors, lifestyle, and retail.

We've found AI Citation Analysis particularly useful for this. We use it to examine the websites and sources that AI models cite when responding to relevant prompts. This gives us a different perspective on content authority and helps us understand what types of external sources are influencing the answers customers may see.

For example, when researching topics related to fashion or home and lifestyle, we can look at which publishers, retailers, and other websites are consistently being referenced. We then use those findings as an additional input when reviewing our own content and identifying opportunities to strengthen our visibility and authority.

I also like that the feature helps move the conversation away from simply asking "Are we appearing?" toward "Which sources are influencing the answer, and what can we learn from them?" That distinction has been useful when planning content and evaluating topics where we want Sissy-Boy to have stronger visibility. Review collected by and hosted on G2.com.

The citation analysis is useful, but I'd like more ways to categorize and filter citation sources by topic, market, and type of publication. More historical comparison would also make it easier to determine whether changes in our content strategy are influencing our presence in AI-generated answers. Review collected by and hosted on G2.com.

As a performance-focused team, we wanted to understand how our brand was performing in the emerging AI search environment and, more importantly, how that performance compared with the retailers competing for the same customers.

The feature we've found most useful is Competitor AEO Research. We use it to benchmark Dille & Kamille against relevant competitors across AI-generated search results, looking at brand mentions, AI citations, AI-generated links, frequency of appearance, and historical performance.

What makes this particularly useful is that it moves the analysis beyond simply asking whether our brand appears in AI responses. We can see which competitors are appearing alongside us, how frequently they are being referenced, and which sources are contributing to their visibility. This gives us a much clearer picture of the competitive landscape.

We use the findings when reviewing our performance and planning content priorities. For example, if competitors consistently appear for questions around home, kitchen, garden, or lifestyle products where our visibility is weaker, we can investigate what type of content and sources are contributing to their presence and use that information when deciding where to focus our efforts.

The historical performance component is also important. AI search results can change frequently, so having the ability to compare performance over time makes the analysis much more useful than conducting occasional manual checks. Review collected by and hosted on G2.com.

The competitor research provides a good amount of information, but I'd like even more flexibility when selecting competitors and segmenting results by product category, market, and search intent. More granular reporting would make it easier to analyze individual areas of the business. Review collected by and hosted on G2.com.

As a product-focused e-commerce organization, we wanted to understand how AI assistants are changing the way customers discover retailers and products. Traditional search analytics give us a strong view of rankings and customer behavior, but they don’t show how often an AI assistant brings our brand into a recommendation or comparison.

We used Brand Mention Tracking to get a more structured view of this. We built prompts around electronics, consumer technology, product comparisons, and shopping-related questions, and then monitored which queries resulted in Coolblue being mentioned in AI-generated responses.

That prompt-level visibility was especially valuable. Rather than simply knowing our brand was showing up, we could see which kinds of customer questions actually triggered a Coolblue mention. It helped us pinpoint the topics and product-related conversations where our brand was naturally being surfaced, as well as where competitors were appearing instead.

We also found it helpful for linking product and marketing discussions. When certain categories or customer questions consistently produced strong brand visibility, we could bring those insights into conversations about content, product information, and the overall digital customer experience. Review collected by and hosted on G2.com.

The feature is useful, but additional categorization of prompts by product category, customer intent, and market would make it even more valuable for a large e-commerce organization. More granular reporting across individual AI platforms would also help us understand differences between answer engines. Review collected by and hosted on G2.com.

As a premium retailer, maintaining a strong and consistent brand presence across digital channels is an important part of our overall customer strategy. As AI assistants have become another way customers research brands, products, and shopping recommendations, we wanted better visibility into how GLOBUS was being represented in those conversations.

We found Brand Mention Tracking particularly useful because it gave us a structured way to monitor when GLOBUS appeared in AI-generated responses and understand the types of questions that triggered those mentions.

We created prompts around areas relevant to our business, including premium retail, luxury shopping, fashion, beauty, home, and product recommendations. Rather than relying on occasional manual searches, we could monitor these queries consistently and see where our brand was appearing alongside other retailers.

The prompt-level insight was especially useful. It helped us distinguish between situations where customers specifically searched for GLOBUS and broader questions where AI platforms independently recommended or referenced the brand. That distinction gave our marketing team a better understanding of how our digital presence was being interpreted outside traditional search results. Review collected by and hosted on G2.com.

The Brand Mention Tracking functionality is useful, although additional options for segmenting results by market, language, and individual AI platform would make it even more valuable for an international retail organization.

I'd also like more executive-level reporting options that summarize changes in brand visibility without requiring teams to review individual prompts. Review collected by and hosted on G2.com.

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.