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AI visibility tools · AI rank tracking and visibility monitoring

Rankscale: credit-based AI rank tracking across 17+ engines

Rankscale is an AI visibility and AI rank tracking platform from Rankscale GmbH in Vienna, Austria. It tracks brand mentions, rankings, citations and sentiment across 17+ AI engines, including ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews and AI Mode, with no per-engine upsell. Monthly plans run from $99 (Pro) to $780 (Enterprise) and are credit-based; a yearly-only Essentials tier and a 7-day Pro trial are also offered.

Category
AI rank tracking and visibility monitoring
Pricing
Pro $99/month, Pro+ $229/month, Growth $385/month, Enterprise $780/month; Essentials yearly only ($204/year); 15% off yearly
Free option
7-day free trial of Pro
AI engines tracked
ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews, Google AI Mode, Copilot, DeepSeek, Grok, Mistral, Meta Muse Spark
Best for
SEO teams and agencies that want broad engine coverage at a predictable price, flexible schedules (hourly to monthly) and white-label dashboards for clients.
Not ideal for
Buyers who want someone else to do the fixing, or who find a credit model harder to budget than a fixed prompt count.

What Rankscale does

  • Visibility score, rankings, citations and sentiment per engine
  • Query fan-out insights on every plan
  • Page audits for AI readiness
  • Shopping, ads and local results tracking
  • Prompt research with volume estimates
  • REST API, MCP and Looker Studio connector

What Rankscale is

Rankscale is a software product from Rankscale GmbH, a Vienna-based company registered in July 2025. Founder and CEO Mathias Ptacek leads it with co-founder and CMO Patrick Schmid and CTO Sascha Rehbock. The site says it has 1,000+ active users across brands, agencies and publishers, and covers 240+ regions and languages.

Its own facts page defines it as a tool for AI rank tracking and generative engine optimization, "not a generic SEO rank tracker for blue links". In practice it is aimed at SEO teams and agencies who want to see where a brand is mentioned, ranked and cited inside AI answers.

Pricing and credits

Rankscale prices by credits rather than by a fixed prompt count. Running one search term on one engine costs a fraction of a credit (typically 0.25), so the number of answers you can track depends on how many engines and how often you schedule each term.

PlanMonthly priceCredits/monthAI answers (up to)Brand dashboardsPage audits
Pro$991,2004,8001050
Pro+$2293,00012,00025100
Growth$3855,50022,00050200
Enterprise$78012,00048,000100200

Search terms are unlimited on every plan, all regions are included, and seats are unlimited. Yearly billing saves 15%. Pro+ adds the REST API and five prompt researches a month; Growth adds agency benefits and white-label options. There is also an Essentials tier sold yearly only, and a Custom plan with SSO, SLAs and a dedicated success manager. Pro has a 7-day free trial.

Engines and how it measures

The headline promise is "no per-engine upsell": all 17+ engines are available on every plan. The pricing page names ChatGPT, Gemini, Perplexity, Claude, DeepSeek, Mistral, Grok and Copilot, and the homepage adds Google AI Overviews, AI Mode and Meta Muse Spark. Schedules run from hourly to monthly.

Beyond mentions and sentiment, Rankscale exposes some less common data:

  • Query fan-out: the internal searches an engine runs before it answers your prompt, with probed domains and wins and losses. We explain the idea in query fan-out.
  • Sources box analysis: which domains appear in the AI source box, by engine.
  • ChatGPT follow-up forms: the clarifying questions ChatGPT asks before recommending brands.
  • Local, shopping and ads: map pack results, shopping cards and sponsored placements in ChatGPT, Google AI Mode and Copilot.

Strengths, limits and alternatives

Rankscale's strengths are breadth of engines at a mid-market price, granular scheduling, and research features like fan-out that most trackers do not show. The trade-off is that it is mainly a measurement tool: its plan comparison lists recommendations (Rankscale Scout) but no content writing feature, so the fixes are up to you, and credits take some planning. Similar trackers include Promptwatch, which adds content agents, and Searchable, which bundles a content studio but charges extra for some engines. For a lighter option, compare Otterly.AI.

Rankscale and GetPicked

Rankscale is a tracking tool you operate yourself: you write search terms, choose engines and schedules, and spend credits to run them. GetPicked starts with a Pick Check (free with an account) across ChatGPT, Claude, Gemini, Perplexity and Grok, then hands over copy-ready fixes that a human approves and that are verified after they go live. Rankscale gives more raw data; GetPicked gives a shorter path to changes for a small team.

GetPicked wrote this page and sells a competing product. Facts above come from Rankscale's own pages, linked below.

Questions

How much does Rankscale cost?
Monthly plans are Pro $99, Pro+ $229, Growth $385 and Enterprise $780, with 15% off on yearly billing. An Essentials tier is sold yearly only; the pricing page's structured data lists it at $204/year. Custom plans are quoted.
How do Rankscale credits work?
Each time Rankscale queries an AI engine it uses a fraction of a credit, typically 0.25. Pro includes 1,200 credits a month (up to 4,800 AI answers), Enterprise 12,000 (up to 48,000). Unused credits roll over up to 2x or 3x the monthly allocation depending on plan.
Which engines does Rankscale track?
It says 17+ engines on every plan, naming ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews, AI Mode, Copilot, DeepSeek, Grok, Mistral and Meta Muse Spark.
Is there a free trial?
Yes, a 7-day free trial of the Pro plan.
Where is Rankscale based?
Rankscale GmbH is registered in Vienna, Austria (registered July 2025). Mathias Ptacek is founder and CEO, with Patrick Schmid as co-founder and CMO.

Other AI visibility tools

Sources

Checked against these pages on 2026-10-19. Operators change their crawlers; check the source before relying on a detail.