Rankscale.ai

Awesome tool! When we hired our current AEO agency, we asked them to configure a visibility analysis automation tool for us we could use regularly to check how we were doing. And Rankscale fit smoothly in our ecosystem. The MCP works awesome, we are using Rankscale with Claude and it is perfect.

Have to denylist some competitors that get counted and we don't want to be compared against them. (But from another POV, this is actually a nice feature too!)

We were able to monitor what AI models are saying about us and our comps. Helps us plan our content marketing campaigns better.

Rankscale provides great flexibility and access to variety of models, which can be of great value, especially for larger marketing teams or agencies. You can pick and choose, run test, whatever serves your strategic approach. It's a great way to support your reporting efforts and explore how you can position your business better in AI search.

Removal of lower subscription tier, it was very useful for smaller companies or teams who wanted to run tests before committing to long-term partnership/larger scale projects.

AI Visibility per LLM model; Page Evaluation + Improvement Suggestions, Citations/Mentions Gaps; AI Reporting; A/B Prompt Testing

In meinem Team nutzen wir Rankscale aktuell vor allem für die Auswertung der Sentiments. Das ist super praktisch, weil wir dort nicht nur unsere eigene Wahrnehmung im Netz tracken können - sondern auch die der Mitbewerber. Beide Wege eröffnen uns ganz neue Möglichkeiten und Einblicke, die vorher in diesem Umfang gar nicht möglich waren. Und selbst in einem viel kleineren Umfang war das vorher nur mit einem riesigen und mühsamen manuellen Aufwand für uns verbunden.

Der kleine Haken ist natürlich, dass nur die Analysen nur auf den Prompts erfolgt, die wir vorher selbst definiert und hinterlegt haben. Aber da wir uns aktuell noch auf ein paar wenige Produkte fokussieren und auch Wettbewerber von Rankscale ähnlich agieren, ist das alles aktuell kein großes Problem für uns. Es sollte aber unbedingt bedacht und berücksichtigt werden für die eigenen Analysen.

Wir mussten vor Rankscale in unserem Team immer sehr mühsam und manuell und mit sehr großem Aufwand nach der aktuellen Stimmung im Netz zu uns als Marke, zu unserem Produkt aber auch zum Wettbewerb suchen. Mit der Sentiment-Analyse von Rankscale ist das alles ohne großen Aufwand (nach einem einmaligen Setup) per Knopfdruck für uns und auch für Wettbewerber möglich. Wir können sogar runterbrechen auf einzelne Prompt-Kategorien bzw. sogar einzelne Prompts. Das ist ein riesiger Mehrwert für uns!

The insights were clear and actionable, and the platform made it easy to spot gaps in visibility and content structure.

I’d like to see ICP mapping and better support for automatically identifying topics and mapping each prompt to a topic.

The tool allows me to identify gaps in any brand’s AI visibility and content coverage, so I can prioritize what to fix or create next. It helps me understand where we’re missing citations, where competitors are outperforming us, what types/format of content is showing up per specific prompt and how our brand is perceived across different AI search engines. The main benefits are clearer visibility insights and more focused optimization work for AI‑driven search

I get a surprisingly high level of details for my search queries. My classical SEO tool just delivered a very basic set of information. And I really like the new customizable Dashboard (currently in beta).

Sometimes the level of details is so high that it's difficult to wrap my head around all the information I get. What I really miss is a proper reporting functionality that I can use for my customers. Right now it is mostly a manual process.

With the rise of AI search, I clearly had a blind spot when it comes to visibility of my clients before using Rankscale. And just the fact that I can tell my customers where they are standing in terms of AI visibility is a sales asset for me.

- Model Coverage: One of the few tools that can track more than 10 different LLMs or models. - Flexible Tracking: Tracking is flexible at the keyword or prompt level — no need to use the same prompts across all models. Google AIOs can be queried with classic short SEO keywords, while ChatGPT gets longer, conversational prompts. - Credit-Based Billing: Especially relevant for agencies: billing runs on credits that can be distributed freely across multiple brands or domains.

Reporting is solid at the KPI level but still has limitations for client reporting. While the KPI dashboard works well for general reporting, (at least our) clients typically want to know which specific queries trigger answers with brand mention or domain citation. That detail is available when drilling down, but I found no way so far to export it as a clean overview list.

Tracking Visibility in AI Answers over time

The prompt research is really helpful. And UX is also easy and straight forward. Page audit tool is also helpful for tips to improve your content

Missing some helpful details that I've found on other tools like AthenaHQ of some helpful citation data and some content creation and tracking functions.

I worked with them to test GEO strategies

Rankscale is probably the most easy-to-understand tool for tracking AI mentions and brand visibility in top models. The options make sense, and the support team is awesome. The Slack community is very active in helping out with any issues. Probably most cost-efficient tool we've used for brand tracking too. Love Rankscale.

Nothing as of now. The support is good so whatever problems we have faced, it was sorted out. So there's nothing to dislike for now.

Rankscale helps us get exact data from AI models about how our clients' brands are being shown and what positions they are getting in AI answers. That is basically the primary thing we use Rankscale for, getting data on how AI perceives our clients.

Von einmaligen Analysen bis täglichem Monitoring ist alles möglich. Umfangreiche Filter, sehr tief gehende Informationen, nützliche Features wie z. B. Shopping Results. Umfangreicher Datenexport. Sehr umfangreiche Sentiment Analysen. Gute Unterstützung bei Topic und Prompt-Setup.

Auf Grund der hohen Informationsdichte muss viel mit Filtern gearbeitet werden. Das White- und Blacklist-Konzept bei den Wettbewerbern erfordert regelmäßige Nachjustierung.

AI Visibility Analysen und Monitoring zur Ersteinschätzung bei neuen Kunden und im regelmäßigen Monitoring.

Es gibt eine umfangreiche Analyse auf individueller Prompt-Basis. So können wir individuell je Thema oder Produkt auswerten - und das alles jeweils auch auf einzelner KI-Tools heruntergebrochen.

Bei der Abrechnung auf Credit-Basis kommt man im kleinsten Set-Up schnell an seine Analyse- und Auswertungsgrenzen. Ein Upgrade lohnt sich aber auf jeden Fall.

Als wir mit Rankscale begonnen haben, standen wir noch relativ am Anfang unserer AI-Analyse. Wir wollten sowohl unsere Sichtbarkeit in verschiedenen KI-Tools messen als auch die zitierten Quellen je nach Produkt-Schwerpunkt herausfiltern.

What I like best is the clean and intuitive interface combined with the depth of insights the tool provides. It makes complex AI search visibility data easy to understand while still offering very detailed analysis when needed. I also really like that the platform evolves quickly. It feels like there are constant updates and improvements to keep up with the fast-changing world of AI search and GEO.

One thing that could still be improved is the sentiment analysis. In some cases (especially with negative sentiment) the interpretation doesn’t always feel 100% accurate. Apart from that, I’m very happy with the tool.

With Rankscale.ai, I can track my clients’ visibility in AI search engines over a longer period of time and get concrete recommendations on how to improve it. One of the biggest benefits for me is the competitive analysis, which helps uncover hidden opportunities and identify where competitors are outperforming us. This makes GEO and AI search optimization much more strategic and data-driven.

I like how many LLMs you can track your prompts against. I also like how you can audit individual pages on how readable they are for LLMs. Most of the reports are very well organized, and we regularly use the data for client audits and reports.

It would be good if you could audit an entire website for AI readiness, rather than individual pages. Also, when it comes to citations, I prefer Peec.ai, because they have more detailed and better organized info, especially on individual Reddit threads. We also experience some difficulties when integrating the tool with Google Data Studio.

Our team does AI Search Audits for clients, and a very important part of that is tracking how well the client's website performs for their target prompts.

- I like how I can easily differentiate between multiple keyword lists - It is great that I can use multiple stores - it is great that I can see wich competitors are doing the right things and what kind of pages work te best/get mentioned the most

- I think it is not easy to edit in bulk, without a lot of double checking and it is a bit cluttered with keyword/LLm combinations

It helps us to compare us to our competitors and to see what pages get cited the most

Suggestions for content features, structural organization, and prompt recommendations are great. Overview of related prompts and such help to replace classic WDF*IDF analysis with a more in depth and content specific optimization.

The AI field and metrics on AI visibility are constantly changing, so it is hard to have general metrics and workflows - but the tool stays very dynamic and up to date with current trends.

Measuring and optimizing visibilty in the landscape of new AI environment

Die Software bietet mir die flexibelsten Optionen für das Messen von LLM Antworten. Bereits im Early Access Test konnte die Software gut überzeugen.

Manchmal ist die UI etwas umständlich, da es so viele Optionen gibt. Die neue UI ist aber schon um einiges verständlicher.

Für mich war wichtig, dass ich LLM Tracking für meine Kunden anbieten kann. Besonders toll finde ich, dass neue Features schnell veröffentlicht werden und man Feedback direkt an den Founder schicken kann.