Rankscale.ai Reviews

Summary based on 27 user reviews

What users say about Rankscale.ai

Rankscale.ai tracks AI mentions and brand visibility in leading models. According to reviews on OMR Reviews, Rankscale.ai uncovers gaps in brand content coverage. Disadvantages of Rankscale.ai include a steep learning curve, as the high level of detail in the user interface overwhelms users. Furthermore, the credit-based pricing system of Rankscale.ai quickly restricts users in the smallest package, while the removal of the cheapest subscription disadvantages small businesses. Finally, Rankscale.ai lacks comprehensive reporting features for end clients, although the raw KPI data from Rankscale.ai is solid.

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4.6 (27) Based on 27 reviews
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27 of 27 reviews

5.0
In the last 30 days

Awesome Tool! Helped us understand what we were missing in terms of AI visibility.

What did you like?

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.

What did you not like?

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!)

Which problems are you solving with the product?

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


Neeraj

Director at A2N Advisory

Accounting

0–10 employees

Use cases:Generative Engine Optimization (GEO)
5.0
In the last 6 months

Great value for your money

What did you like?

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.

What did you not like?

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.

Which problems are you solving with the product?

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


Anonym

Director, SEO

Information Technology and Services

11–50 employees

Use cases:Generative Engine Optimization (GEO)
5.0
In the last 6 months

Super flexibles AI-Visibility-Tool

What did you like?

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.

What did you not like?

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.

Which problems are you solving with the product?

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!


Elke

Costumer Experience at NÜRNBERGER Versicherung

Financial Services

1,001–2,000 employees

Use cases:Generative Engine Optimization (GEO)
4.5
In the last 6 months

AI Visibility Audits for B2B companies mainly SAAS

What did you like?

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

What did you not like?

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

Which problems are you solving with the product?

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


Desislava

Sr SEO Associate at VertoDigital

Computer Software

11–50 employees

Use cases:Generative Engine Optimization (GEO)
5.0
In the last 6 months

My GoTo solution for GEO

What did you like?

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).

What did you not like?

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.

Which problems are you solving with the product?

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.


Udo

Senior SEO/GEO Manager at iSEO.works

Electrical/Electronic Manufacturing

0–10 employees

Use cases:Generative Engine Optimization (GEO)
3.5
In the last 6 months

Flexible AI Tracking

What did you like?

- 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.

What did you not like?

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.

Which problems are you solving with the product?

Tracking Visibility in AI Answers over time


Daniel

Head of SEO at .kloos digital GmbH

Marketing and Advertising

0–10 employees

Use cases:Generative Engine Optimization (GEO)
3.5
In the last 6 months

Good tool, helpful support

What did you like?

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

What did you not like?

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.

Which problems are you solving with the product?

I worked with them to test GEO strategies


Heidi

GEO Consultant at Marcvs Group

Cosmetics

0–10 employees

Use cases:Generative Engine Optimization (GEO)
5.0
In the last 6 months

Love Rankscale, It's the primary AI tracking tool we use at Taptwice Media now

What did you like?

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.

What did you not like?

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.

Which problems are you solving with the product?

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.


Shubham

Founder at Taptwice Media

Marketing and Advertising

11–50 employees

Use cases:Generative Engine Optimization (GEO)
4.5
In the last 6 months

Das flexibelste und umfangreichste AI Visibility Tool am Markt

What did you like?

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.

What did you not like?

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

Which problems are you solving with the product?

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


Carsten

SEO & AI Search Strategy Consultant at Carsten Feller | feller.systems

Marketing and Advertising

0–10 employees

Use cases:Generative Engine Optimization (GEO)
4.5
In the last 6 months

AI-Monitoring mit umfangreichen Auswertungen je Prompt-Set und KI-Tools

What did you like?

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.

What did you not like?

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.

Which problems are you solving with the product?

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.


Konrad

SEO at NÜRNBERGER

Financial Services

1,001–2,000 employees

Use cases:Generative Engine Optimization (GEO)
5.0
In the last 6 months

The best tool for visibility in AI search engines

What did you like?

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.

What did you not like?

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.

Which problems are you solving with the product?

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.


Christian

Business owner at Schenk Marketing

Marketing and Advertising

0–10 employees

Use cases:Generative Engine Optimization (GEO)
4.5
In the last 6 months

A very versatile prompt-tracking tool.

What did you like?

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.

What did you not like?

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.

Which problems are you solving with the product?

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.


Velin

Senior Associate at VertoDigital

Marketing and Advertising

11–50 employees

Use cases:Generative Engine Optimization (GEO)
3.0
In the last 6 months

works fine and not too complicated to use

What did you like?

- 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

What did you not like?

- 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

Which problems are you solving with the product?

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


Milan

Online marketeer at Proforto

Retail

101–200 employees

Use cases:Generative Engine Optimization (GEO)
5.0
In the last 12 months

Concrete Insights and KPIs in an ever changing landscape

What did you like?

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.

What did you not like?

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.

Which problems are you solving with the product?

Measuring and optimizing visibilty in the landscape of new AI environment


David

Head of Data Insights at get on top

Marketing and Advertising

11–50 employees

Use cases:Generative Engine Optimization (GEO)
5.0
In the last 12 months

Täglich im Einsatz für meine Kunden

What did you like?

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

What did you not like?

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

Which problems are you solving with the product?

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.


Patrick

Owner at WAUMEDIA

Marketing and Advertising

0–10 employees

Use cases:Generative Engine Optimization (GEO)
4.0
In the last 12 months

Very advanced, actually offers something in this AI bubble

What did you like?

There are a lot of tools for analyzing different issues that I think no other GEO platform is offering at such a great price. Once you find out how the various tools work, you're able to get all kinds of actionable insights for your brand and website.

What did you not like?

It is quite the learning curve to figure out how to work it. I'm coming at it from the perspective of a digital marketer who's not well-versed in more backend and technical things, and it is a bit hard to find what I want or know what I'm looking at. It would be nice if there was a FAQ or more of a guide provided, because all I could find was one YouTube playlist with a few short videos from the company. That said, those videos were helpful, but they were outdated in some ways.

Which problems are you solving with the product?

I'm still new but the main problems are figuring out if our clients' brands are appearing when people are using AI to research information. For example, we want to know if when they ask a question related to an issue that our clients talk about, the client appears in AI's response and as a credible source. The main advantages I see to using it are discovering how AI perceives the client's brand — is it authoritative and credible, or is it seemed as biased and partisan?


Josh

Ad Strategist at Iron Light

Public Policy

11–50 employees

Use cases:Generative Engine Optimization (GEO)
5.0
In the last 12 months

Happy to use this tool

What did you like?

I am grateful for the free page audits and the suggestions they offer. I really appreciated the trending topics in AI searches in our industry. It helped me roadmap future content and adjust headlines.

What did you not like?

I have no suggestions at this time. Keep growing! Can't wait to see where we go in 2026.

Which problems are you solving with the product?

We use Rankscale to help us be found in LLM search and see where we stand against competitors.


Rebecca

Marketing Director at Milan Institute

Higher Education

201–500 employees

Use cases:Generative Engine Optimization (GEO)
4.0
In the last 12 months

Getting better with every release!

What did you like?

Prompt decoding works really well in my opinion. You can see exactly which prompts trigger mentions of your clients' brands and how they rank compared to competitors. As I work in an agency, I manage multiple clients, and the ability to track prompts across several LLMs from one dashboard saves me a lot of time. I don't have to check each AI search engine manually for every client. The page audit feature is also great because it gives you a quick and solid overview of what you can (or should) change on a page to improve AI visibility. The introduction video was lovely and helped me understand the core features quickly. I also appreciate how actionable the insights are -> you don't just see data, you understand what to optimize on your clients' websites

What did you not like?

For me personally, RankScale was a bit confusing at the beginning. The interface has many features and it took some time to understand what each metric means and how to interpret the data correctly. When managing multiple client accounts, this learning curve adds up. I also spent way too many credits daily in the first week because I didn't fully understand the credit system, which is especially painful when you're tracking several brands at once. They've made it better since then, but the onboarding and documentation could still be clearer for new users. A guided setup or tooltips explaining key metrics would help agencies like us get started faster.

Which problems are you solving with the product?

I use it to track several prompts for my clients across different AI search engines. Before RankScale, I had no real way of knowing if and where my clients' brands were being mentioned in AI generated answers. Sure, I could have tried "all" the prompts by myself, but this would have been time consuming, and at the end of the day, very expensive. Prompt research gives me brilliant insights too. There were several prompts, which would help one of my clients, which I never really thought of. Last, but not least, Page Audit -> insights like "AI-powered suggestions to enhance your content" are precious! I tried those on my personal project and it seemed to work fine. All in all, Rankscale is a timesaver!


Joachim

Web Performance Optimizer at valantic CX Austria GmbH

Marketing and Advertising

101–200 employees

Use cases:Generative Engine Optimization (GEO)
5.0
In the last 12 months

The swiss army knife of AI tracking

What did you like?

The detailed settings and analysis options, the extensive selection of different AI search systems and chatbots that can be tracked, as well as unique features such as Prompt Research or Rankscale Scout.

What did you not like?

Since the tool has only been available for a short time and was developed from scratch, the user interface is not yet as intuitive and self-explanatory as those of the major tool providers. However, I am sure that they are already working hard on this.

Which problems are you solving with the product?

Automatically monitoring the performance of prompts across multiple AI platforms. This has helped me and my clients understand that the number of brand mentions, citations, and “rankings” can fluctuate significantly, especially when tracking prompts on a daily basis.


Anonym

CEO

Sporting Goods

11–50 employees

Use cases:Generative Engine Optimization (GEO)
4.5
In the last 12 months

AI monitoring tool, that is easy to use

What did you like?

Simple user interface, good feature development in recent months, fast customer service. New projects are easy to create and edit.

What did you not like?

I would like to see a detailed description of the individual metrics displayed in the tool.

Which problems are you solving with the product?

Monitoring search queries in AI tools, assisting with user understanding of how they interact with AI search and what they are searching for.


Barbara

Webmarketing at gesagt.getan.GmbH

Marketing and Advertising

11–50 employees

Use cases:Generative Engine Optimization (GEO)
5.0
In the last 12 months

My go to Geo Tool for my brand

What did you like?

I really like how it shows where and how our brand appears in AI search results. It gives insights you just don’t get from traditional SEO tools. The dashboards are clean and make it easy to track performance over time.

What did you not like?

Fully happy with their service! Highly adapting, cannot complain about anything for now.

Which problems are you solving with the product?

Geo, monitoring the narrative of my brand in llms


Max

Managing Director at Vinoboutique

Food & Beverages

0–10 employees

Use cases:Generative Engine Optimization (GEO)
5.0
Older than 12 months

Wer für LLMs optimieren will, braucht RankScale

What did you like?

Ich arbeite derzeit täglich mit RankScale und ich liebe den Support durch RankScale. Wenn ich ein Feature-Request oder eine Idee einbringe, bekomme ich sehr schnell ein Feedback. Bei RankScale ist man nahe am Kunden und vor allem an dessen Bedürfnissen. So wird das Tool, was auch jetzt schon wirklich sehr gut ist, noch besser!

What did you not like?

Das Credit-System ist ja schon bekannt aber man kommt hier schnell an Grenzen, gerade wenn man viele Projekte und Marken mit aufnimmt. Hier wird aber derzeit dran gearbeitet, dass die Anfragen weniger Credits verbrauchen. Auch hier wird im Sinne des Kunden agiert!

Which problems are you solving with the product?

Ich kann mit RankScale tracken wie meine Brand und die Brands meiner Kunden derzeit in LLMs abschneiden. Das ist wichtig um zu wissen, wo es noch Verbesserungsbedarf gibt. Ich habe über RankScale auch schon Plattformen gefunden, auf denen wir Profile haben, die ich noch gar nicht kannte. Wer also in LLMs und deren Trainingsdaten reingucken will, ist mit RankScale optimal aufgestellt.


Benny

Head of SEO at HECHT INS GEFECHT

Marketing and Advertising

0–10 employees

Use cases:Generative Engine Optimization (GEO)
4.5
Older than 12 months

Excellent tool with a diverse range of quality AI engines.

What did you like?

The multiple AI model makes every daily task run extra smoothly. Everything in the online space can be found and monitored easily and I get quick assistance from the platform. So far, it has been everything I was hoping for and has fully met my expectations in both performance and ease of use.

What did you not like?

The ability to use multiple powerful models using one application is unmatched. The interface can however be confusing for first-time users or someone new to AI visibility tools, requiring some adjustment.

Which problems are you solving with the product?

The platform has been great. Very quick responses, accurate content and noticable increase in our productivity.


Martin

CEO at Merkur International Holding AG

Financial Services

0–10 employees

Use cases:Generative Engine Optimization (GEO)
5.0
Older than 12 months

Exceedingly scalable software.

What did you like?

As far as 1 to 2 hours, you can go from zero knowledge to creating your own wireframe all from scratch. The tool also gives majority of the features, charts and clear analytics.

What did you not like?

Limited customization options, less integration with other tools but great for wonderful experience.

Which problems are you solving with the product?

Has quickly brought our brand improvement ideas to life, with intuitive interface that lowers the barrier for both new and experienced users. We hope for at least 90% control by the end of this month.


Julian

Director at JLL

Real Estate

10,001–100,000 employees

Use cases:Generative Engine Optimization (GEO)
5.0
Older than 12 months

Die Triebfeder, die unsere Marke aus der Google-Welt in die Zukunft der KI katapultiert.

What did you like?

Das Tool ist einfach genial durchdacht. Super verständlich, logisch aufgebaut und trotzdem tief wie eine strategische Beratung. Schnelle Ladezeiten, stabile Plattform, saubere Exporte, alles funktioniert einfach. Das Team hinter Rankscale ist engagiert, schnell, persönlich und voller Know-how. Die Such- und Filterfunktion ist top. Ob du ein Thema, eine Entität, ein Prompt oder einen Wettbewerber checken willst, es ist sofort da.

What did you not like?

Am Anfang etwas Reizüberflutung. Man bekommt viele Daten und braucht etwas Zeit, um die richtigen Schlüsse zu ziehen. Tipp mit einem internen KI-Content-Check-in pro Woche starten! Keine direkte Text-Optimierung in der Plattform, das wäre eine schöne Ergänzung, direkt aus dem Report heraus Textvorschläge bekommen (vielleicht kommt das ja bald noch).

Which problems are you solving with the product?

Wir haben Benchmarks aufgesetzt gegen klassische Banken und digitale Player (z. B. DKB, ING, Tomorrow). Rankscale zeigt uns, wo wir in KI-Antworten untergehen und wo wir sogar überperformen. Besonders spannend die Sentiment Heatmap. Wir sehen, wie freundlich oder neutral wir dargestellt werden. Teilweise erschreckend ehrlich, aber genau das bringt uns weiter. Rankscale simuliert LLMs und sagt uns, wie maschinenverständlich unsere Seiten sind. Wir haben damit unsere Produktseiten zu Baufinanzierung, Girokonten und Nachhaltigkeit komplett umgebaut mehr Klartext, weniger Bullshit-Bingo. Resultat ist unsere Inhalte sind jetzt nicht nur schöner für Menschen, sondern auch für ChatGPT & Co lesbarer.


Carolin

Marketing Managerin at Sparda-Bank Nürnberg eG

Banking

201–500 employees

Use cases:Generative Engine Optimization (GEO)
4.5
Older than 12 months

Wer 2025 noch denkt, dass Google-Rankings alles sind, hat’s nicht verstanden!

What did you like?

Wir legen für jede Kampagne oder Artist-Strategie eigene Keyword-Gruppen an. Die UI ist clean, man kommt schnell rein. Das Tool sagt dir nicht nur Du bist nicht sichtbar, sondern warum und was du tun kannst. Man merkt die Leute hinter Rankscale haben sich Gedanken gemacht. Kein Click-Wahnsinn, keine überladenen Dashboards. Wir tracken regelmäßig, wie gut unsere Artists im Vergleich zu ähnlichen Acts performen und nutzen das intern als Signal, um PR & Content Maßnahmen besser zu steuern.

What did you not like?

Aktuell arbeiten wir mit einem zentralen Account, was bei mehreren Kampagnen etwas messy wird. Ein feineres Rechtemanagement wär Bombe. Die Daten-Updates sind aktuell noch batch-basiert. Wenn man schnelle Kampagnen fährt (z.B. TikTok-Viralität), muss man mit Time-Delays leben. Wäre cool, wenn’s irgendwann daily crawls gäbe. Für kleinere Indie-Labels wäre der Einstiegspreis vielleicht zu happig. Für uns lohnt's sich, aber ein kleineres Paket für Newcomer wär nice.

Which problems are you solving with the product?

Bei uns dreht sich alles um digitale Sichtbarkeit für unsere Artists & Labels. Klar, Spotify und TikTok kennen alle, aber was ist mit ChatGPT, Gemini, Perplexity oder Claude. Genau da setzt Rankscale an. Wir verwenden das Tool, um wöchentlich zu tracken, wie unsere Künstler, Releases oder Submarken (z.B. Groove Attack oder Naïve) in KI-Antworten auftauchen. Das Tool crawlt die gängigen AI-Suchsysteme und zeigt, wo unsere Begriffe auftauchen oder eben nicht. Und es zeigt wer genannt wird. Also ob z.B. unser Artist in ChatGPTs Antwort zur besten deutschen Female-Rapperin vorkommt oder ob da jemand anders den Slot besetzt.


Sebastian

Creative Marketing Specialist at Believe Digital GmbH

Music

51–100 employees

Use cases:Generative Engine Optimization (GEO)
4.5
Older than 12 months

Understand how AI talks about your brand and track where you rank against competitors.

What did you like?

It makes it possible for us to see when, where and how AI tools mention our brand, even without links to our website. This makes it easy to identify AI visibility gaps and take action to close them.

What did you not like?

Implementation was definitely not a walk in the park. It took a while until we had everything customized to our needs. The app works well in most cases.

Which problems are you solving with the product?

Helps us build winning strategies for our clients. Their suite of tools allows for robust market research, competitive analysis and overall improvement.


Frâncio

Data Scientist at WALTER GROUP

Transportation/Trucking/Railroad

5,001–10,000 employees

Use cases:Generative Engine Optimization (GEO)