Search is changing radically with the rise of AI engines. More and more users query ChatGPT, Gemini or Perplexity instead of Google. For brands, this raises a major question: are we visible in these new AI-generated answers? Rankscale brings a clear answer by offering the first platform dedicated to Generative Engine Optimization. It lets you measure your presence across more than 20 AI engines, understand the sources the models cite, and compare your visibility with that of competitors. This still-young discipline is becoming as important as traditional SEO. Pioneer brands that get into it today gain a significant lead over their competitors and structure their presence for the long term.
What is Rankscale?
Rankscale is a SaaS platform specialized in tracking visibility in AI engines. It continuously queries the main models with a set of custom prompts, observes the answers and measures the place a brand, its products and its competitors occupy. The data is presented as scores, dashboards and comparative reports. Rankscale doesn’t replace a classic SEO tool: it complements it on a new field, that of generative engines.
Key features
Rankscale offers a rich set of features. Visibility tracking measures how and how often a brand appears in AI engines’ answers. Competitive benchmarking positions the brand against its direct competitors on the same prompts. Citation analysis identifies which sources the models use for their answers, which is valuable to guide your content strategy. The site audit provides an AI-readiness score and concrete recommendations to improve visibility in generated answers. Finally, customizable dashboards let each team track the indicators most relevant to its business. Everything is powered by more than 20 models and runs on a flexible credit system.
Use cases
Rankscale’s use cases are many. An e-commerce brand monitors its visibility in ChatGPT and Perplexity on purchase searches. An SEO agency extends its offering by providing a GEO service to its clients. A B2B SaaS tracks how AI models describe its product and identifies the sources to enrich. A media publisher analyzes which pages are most cited by AI engines to adapt its editorial strategy. Communication teams use the dashboards to measure the impact of their campaigns on AI-generated perception. Finally, PR departments use citation analyses to identify the media and content to target.
Advantages
Rankscale brings previously inaccessible visibility into a fast-growing channel. Brands can quantify their presence in AI answers, identify their strengths and weaknesses, and structure an effective GEO strategy. The tool also helps steer content production toward the formats and sources actually used by the models. In the long run, it secures a brand’s presence in a shifting search landscape. Agencies find a clear business opportunity to enrich their offering to clients.
Pricing
Rankscale offers three main plans. The Essentials plan at €20/month suits small structures wanting to start measuring their AI visibility. The Pro plan at €99/month expands capacity to 1,200 credits, 50 web audits, 25 dashboards and 4,800 AI answers. The Enterprise plan at €780/month goes up to 12,000 credits, 200 audits, 100 dashboards and 48,000 answers. Each query to an engine consumes about 0.25 credit.
Conclusion
Rankscale is one of the most accomplished GEO tools on the market. For any brand or agency that takes the evolution of search seriously, it’s a strategic investment. The Essentials plan at €20/month makes experimentation accessible and lets you quickly assess the value of GEO in your context.