Rankscale is a Vienna-based AI visibility platform that tracks how brands appear across 17 or more AI engines, including ChatGPT, Perplexity, Claude, Gemini and Google AI Overviews, according to its website. Founders Mathias Ptacek and Patrick Schmid run it with no announced funding round. Plans start at $99 a month, and Rankscale GmbH was registered in Austria on July 22, 2025.
Last updated: November 2, 2026
What are the key facts about Rankscale?
Rankscale is an AI visibility company built in Vienna that sells monitoring, citation analysis and page audits to brands and agencies, and EPR found no announced funding round for it. The table lists the core facts as Rankscale states them on its own website on November 2, 2026.
| Attribute | Detail |
|---|
| Company | Rankscale (Rankscale GmbH) |
| Headquarters | Vienna, Austria |
| Work began | October 2024, according to the company timeline |
| Incorporated | July 22, 2025, in the Austrian company register |
| Founders | Mathias Ptacek (founder and CEO) and Patrick Schmid (co-founder and CMO) |
| Team size | 13 people as of August 2026, per the company |
| Users | More than 1,000 active users, per the company |
| AI engines tracked | 17 or more, in every plan, per the company |
| Published pricing | $99 to $780 a month, credit-based, per the company |
| Funding | No announced round; Tracxn also lists none |
According to its homepage, Rankscale tracks how often AI engines mention and cite a brand, where they rank it and how they describe it, across 17 or more engines in one plan with no per-engine upsell. The engine list on that page includes ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews, Google AI Mode, Copilot, DeepSeek, Grok, Mistral and Meta's Muse Spark.
The product is organized around seven kinds of report:
- brand visibility scores, rankings and sentiment, split by engine and timeframe
- competitor comparisons that identify rivals automatically in AI results
- citation and source analysis showing which domains and URLs each engine cites
- shopping and ads visibility in ChatGPT, Google AI Mode and Copilot
- query fanouts, which are the internal searches an engine runs before it answers
- page audits that check AI bot crawlability and technical factors
- prompt research that estimates prompt volume by reconstructing likely questions
Query fanouts are the newest of these reports. They show which searches an engine runs behind a single question, so a PR team can see which outlets and pages get retrieved before the answer is written.
Rankscale also connects to Google Analytics 4 and Google Search Console in beta, offers a REST API on its Pro+ plan and above, and runs an MCP server so AI assistants can query visibility data. A Looker Studio connector covers client reporting for agencies.
How much does Rankscale cost?
Rankscale charges $99 a month for Pro, $229 for Pro+, $385 for Growth and $780 for Enterprise, according to the pricing summary on its homepage on November 2, 2026. The plans are credit-based, so the monthly price scales with how many prompts and engines a team tracks.
| Plan | Monthly price | Positioned for |
|---|
| Pro | $99 | Businesses that need advanced insights, dashboards and MCP sharing |
| Pro+ | $229 | Teams that need more credits, REST API access and 5 prompt researches a month |
| Growth | $385 | Agencies scaling an AI visibility service, with client discounts and a partner directory listing |
| Enterprise | $780 | Enterprises that need extensive capabilities and a dedicated partner |
Annual pricing and plan limits are listed on Rankscale's website, and prices in this category change often, so confirm the current figure before buying.
Who founded Rankscale and how has it grown?
According to the timeline on Rankscale's website, Mathias Ptacek, the founder and chief executive, started building the platform in October 2024 after years in technology, sales and marketing roles at large companies. Patrick Schmid, the co-founder and chief marketing officer, joined in April 2025 as Ptacek moved to the company full-time.
The same timeline gives these milestones:
- October 2024: Ptacek begins building Rankscale.
- January 2025: a beta opens to early access participants, with competitor analysis and sentiment tracking.
- April 2025: Rankscale passes 400 users, Ptacek goes full-time and Schmid joins.
- July 22, 2025: Rankscale GmbH is registered in Austria and paid subscriptions go live.
- June 2026: Hanns Kronenberg joins as strategic advisor, with a focus on prompt decoding and AI search.
- July 2026: the team moves into a new office in Vienna's Wien Mitte district.
- August 2026: the team reaches 13 people.
All of these figures come from Rankscale's website. EPR has not independently verified the user counts or headcount.
Who uses Rankscale?
Rankscale lists brands such as Bosch, Iberdrola, O2, Otto, StepStone and UBS, and agencies such as Dentsu, Publicis Sapient, WPP Media and Monks, on its homepage. These are the company's own logo claims, and EPR has not confirmed each relationship.
Rankscale also says it appears in AI visibility tool roundups published by Ahrefs, Semrush and Surfer SEO. Rankability's 2026 agency review of Rankscale credits the founder-led team for shipping new features several times a week and notes a Rankscale analysis of more than 8,000 AI citations.
The Growth plan is built for agencies. It adds client discounts, lifetime affiliate commissions, a configurable listing in Rankscale's partner agency directory and agency webinar sessions.
How does Rankscale compare with funded AI visibility platforms?
Rankscale has announced no funding round, while the other AI visibility platforms in the table below have each announced venture rounds. The table uses amounts announced by the companies and the profiles EPR has already published.
| Company | Latest announced round | Approach |
|---|
| Profound funding profile | $180 million Series D, September 15, 2026 | Enterprise visibility platform and agents |
| Bluefish | $43 million Series B, April 14, 2026 | Agentic marketing platform for Fortune 500 brands |
| AirOps | $40 million Series B, November 2025 | AI search content engineering |
| Brandlight funding profile | $30 million Series A, February 11, 2026 | Enterprise AI visibility program |
| Peec AI | $21 million Series A, November 2025 | Self-serve analytics for mid-market teams and agencies |
| Evertune | $15 million Series A, August 12, 2025 | Measures AI answers and citations for enterprise brands |
| geoSurge profile | $12 million seed, July 3, 2026 | Monitoring plus Corpus Engineering |
| Rankscale | None announced | Credit-based tracking for teams and agencies from $99 a month |
The difference shows up in how each company reaches buyers. Rankscale publishes four plan prices and a free trial on its homepage, and a review by Meev describes a public changelog with near-weekly releases through 2026. Funded platforms spend on enterprise sales and agent products, as the Profound and Bluefish profiles describe.
The full category map sits in EPR's Capital Behind AI Communications tracker, and a side-by-side of tools is in Best AI Visibility Tools compared.
What should PR and communications teams do with Rankscale?
PR teams can use Rankscale to record how often ChatGPT, Perplexity and Google AI Overviews name and cite a brand, then compare those numbers with competitors every month. A KDD 2024 paper by Aggarwal and colleagues at Princeton, Georgia Tech and IIT Delhi found that adding citations, statistics and quotations could raise visibility in generative engine responses by up to 40 percent, with results that varied by subject area, which is why citation tracking matters. EPR's GEO guide explains the method.
- Write 20 to 50 buyer questions for the brand, the range EPR describes for its Answer Density concept.
- Track the same prompts on a fixed schedule and record which source domains each engine cites for the brand and for its competitors.
- Pitch the outlets that engines already cite for competitors. Muck Rack found in May 2026 that earned media made up 84 percent of links cited by ChatGPT, Claude and Gemini.
- Spot-check a sample of prompts by hand each month, because any tracker's results can differ from run to run.
- Ask for dated before-and-after records before crediting a campaign for a change, using the method in EPR's AI visibility audit guide.
The $99 Pro plan is the lowest-cost way to run that test on Rankscale, and the Growth plan at $385 suits an agency that needs to report to several clients.
