Citation tracking · last updated 2026-10-14
RankScale
AI search rank tracking with workflows modeled on classical rank tracking.
- Category
- Citation tracking
- Founded
- 2024
- HQ
- Vienna, Austria
- Pricing model
- Public + Contact sales (Enterprise)
- Methodology transparency
- Medium
- Data exportability
- Yes
- Engines tracked
- 11 (ChatGPT Search, Perplexity, Google AI Mode, Google AI Overviews, Gemini, Claude, Bing Copilot, DeepSeek, Mistral Le Chat, Grok, Meta AI)
- Website
- rankscale.ai
RankScale's positioning is continuity: workflows modeled on classical rank tracking (positions, share of voice, competitor reports, regular cadence) applied to the AI search measurement layer. For SEO leaders who don't want to learn a fundamentally different mental model, this lowers the adoption cost.
The company is based in Vienna, lists public pricing with an Enterprise tier, and tracks eleven engines, a broad set that includes Mistral Le Chat, DeepSeek, and Meta AI. It doesn't stand out on any single dimension. Buyers evaluating purely on capability may find AthenaHQ or Profound stronger on methodology or breadth respectively. Buyers evaluating on team familiarity may find RankScale the path of least resistance.
Standout strength
Workflows modeled on classical rank tracking, producing reports SEO leaders find familiar, across eleven engines.
Honest limitations
- Less differentiated from competitors on pure capability.
- Methodology disclosure is thinner than the High-rated vendors.
Best fit for
SEO teams transitioning from classical rank tracking who want familiar workflow patterns.
Frequently asked questions
- Which AI engines does RankScale track?
- 11 as publicly stated by the vendor: ChatGPT Search, Perplexity, Google AI Mode, Google AI Overviews, Gemini, Claude, Bing Copilot, DeepSeek, Mistral Le Chat, Grok, Meta AI. Engine coverage is the first thing to check against the engines your buyers actually use, because a citation you cannot see is one you cannot act on.
- How is RankScale priced?
- Public + Contact sales (Enterprise). Entry tiers are published and enterprise pricing is quote-based, so you can self-serve at the low end and will need a sales conversation above it.
- Can you export raw data from RankScale?
- Yes. Raw data can be exported, so you can run your own analysis and keep a record that survives leaving the platform.
- Who is RankScale best for?
- SEO teams transitioning from classical rank tracking who want familiar workflow patterns.
- What are the limitations of RankScale?
- Less differentiated from competitors on pure capability. Methodology disclosure is thinner than the High-rated vendors.
Funding & investors
Full investor landscape →No disclosed funding
Company timeline lists no investors; Vienna-based GmbH incorporated July 2025.