Rankscale
Rankscale is a web platform for tracking how brands appear in AI-generated answers. It monitors ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews and Copilot, reporting mentions, rankings, citations, sources, sentiment and share of voice, with page audits and prompt research. Credit-based plans start at $20 per month, brand dashboard slots are included, and a seven-day Pro trial needs no payment up front.
What is Rankscale?
Rankscale is an AI visibility platform, also described on the site as an AEO and GEO platform, that measures how a brand appears inside AI-generated answers. Instead of checking whether a page ranks in a list of blue links, it queries AI engines with the search terms you choose and then reads the responses for mentions, rankings, citations, sentiment and share of voice. The monitored set covers 17+ engines, including OpenAI ChatGPT, Perplexity, Anthropic Claude, Google Gemini, Google AI Mode, Google AI Overviews, DeepSeek, xAI Grok, Microsoft Copilot and Mistral, with no per-engine upsell tiers.
Everything runs on credits. Each time Rankscale queries an engine on your behalf it spends a fraction of a credit, typically 0.25, and each plan includes a monthly allocation that renews with the billing cycle. You can create unlimited search terms and decide which engines, regions and schedules they run on, from hourly to monthly, so a portfolio of brands can be monitored at different intensities. Unused credits roll over up to two times your monthly allocation on Pro and up to three times on Growth and Enterprise, and extra credits can be topped up in the app.
The analysis layer is where most of the product sits. A brand visibility dashboard consolidates mentions, rankings and citations and can be sliced by engine and timeframe, with shareable and white-label links for clients. Competitor benchmarking identifies competitors inside AI answers and compares visibility scores, citations and sentiment. Citation analysis and sources box analysis show which domains and URLs AI engines lean on, so you can chase the sources that actually move mentions. Sentiment analysis tracks how models describe a brand by topic and surfaces positive or negative keyword themes. Query fanout exposes the internal searches engines run before answering, shopping and ad analytics cover commerce cards and sponsored placements in ChatGPT, Google AI Mode and Copilot, and prompt research estimates prompt volume by region and language using semantic reconstruction.
Fixing visibility is covered by page audits, which score any URL against technical checkpoints for AI crawlability, site hierarchy and content structure, and by Rankscale Scout, which turns large volumes of data into prioritized recommendations. Teams can also connect GA4 and Search Console in beta to link AI visibility to real traffic, export data to CSV or Google Sheets, pull metrics through a REST API, view brand metrics in Looker Studio through the Data Studio integration, and query their own Rankscale data from Claude, ChatGPT or Cursor through the MCP server. Rankscale is made by Rankscale GmbH in Vienna and reports more than 1,000 active users, 240+ regions and languages and 8 monitoring schedules.
Rankscale Core Features
AI visibility tracker
monitor visibility score, rankings and sentiment for your chosen search terms across 17+ AI engines.
Brand visibility dashboard
consolidate mentions, rankings and citations in one view you can slice by engine and timeframe.
Competitor analysis
auto-identify competitors in AI answers, then compare visibility scores, citations, sentiment and ranking gaps.
Citation and sources box analysis
see which domains and URLs AI engines cite when they mention your brand or competitors.
Sentiment analysis
track how models describe your brand by topic and surface positive or negative keyword themes over time.
Query fanout
inspect the internal searches engines run before answering, including probed domains, coverage, wins and losses.
Page audits
score any URL against AI readiness factors such as crawlability, site hierarchy and technical SEO signals.
Prompt research
estimate prompt volume by region and language through semantic reconstruction, then optimise for likely question patterns.
Who is Rankscale for?
Rankscale is built for the people whose job is to make a brand show up inside AI answers: agency teams selling GEO and AEO services, enterprise and multi-brand SEO teams, and in-house marketing or content leads who already own organic search. The pricing page frames the tiers plainly, with Essentials for individuals and startups exploring AI visibility, Pro for businesses needing advanced insights and control, Growth for growing agencies scaling their AI visibility offering, and Enterprise for organizations that need extensive capabilities and premium support. Agencies are treated as a first-class audience. Growth adds white-label dashboard links, REST API access for metrics and share links, lifetime affiliate commissions, client discounts, a configurable entry in the partner agency directory, Agency Accelerator webinars and a private Slack channel. Practitioners describe using the data to win and keep work: one agency says GEO went from a hard sell to one of its fastest-growing service lines, and another reports ranking client sites in Google AI Overviews within days using Rankscale data. Enterprise teams get multi-brand management from one account, role-based access with unlimited seats and no per-seat charges, per-team brands, markets and tracking budgets, 240+ countries and all languages, eight monitoring schedules, white-label reporting, priority support and guided onboarding. Brands and agencies named across the site include Bosch, UBS, Cartier, Iberdrola, O2, Otto, StepStone, REWE, Dentsu, Publicis Sapient, WPP Media, SiteGround, Cloudbeds, Milliman and Global Payments. Independent consultants and freelancers fit the credit model well, because the platform's own testimonials come from solo SEO and GEO consultants who track a handful of clients, spend credits selectively and share saved dashboard links. In-house SEO and content teams use Rankscale to benchmark against automatically identified competitors, find the domains AI engines cite, audit pages for AI readiness and research the prompts buyers actually use in their region and language. Teams that only want a one-off audit, or that will not commit any budget to ongoing monitoring, are a weaker fit, since visibility tracking becomes useful as a trend over days and weeks. Multi-brand and multi-client users should also expect to buy extra brand dashboard slots once the allocation included in their plan runs out.
Rankscale Use Cases
Track whether your brand is mentioned or cited across ChatGPT, Perplexity and Google AI Overviews.
Show clients a white-label AI visibility dashboard instead of forwarding screenshots from a chat window.
Find out which competitor domains keep getting cited, then target those sources with your content.
Audit a landing page for AI crawlability and fix the technical issues blocking AI engines.
Measure sentiment in AI answers after a rebrand, a product launch or a reputation issue.
Research the prompts and questions buyers in a specific region or language actually use.
Track sponsored placements and shopping card results in ChatGPT, Google AI Mode and Copilot.
Pull AI visibility metrics into Looker Studio or your own tools through exports and the REST API.
Rankscale Pros and Cons
Pros
- All 17+ engines are included in every plan, with no per-engine or per-seat surcharge tiers, so procurement gets one predictable line item.
- Credit-based pricing with rollover, up to 2x on Pro and 3x on Growth and Enterprise, lets agencies spread one budget across clients of different sizes.
- Depth beyond dashboards: citation and sources box analysis, query fanout, sentiment, page audits and ad analytics live in the same platform.
- The agency program adds white-label reporting, lifetime affiliate commissions, a partner directory entry, webinars and a private Slack channel.
- A seven-day Pro trial with no charge until day seven makes evaluation cheap, and support comes directly from the founding team.
Cons
- Essentials, the cheapest plan at $20 per month, shows no credit allocation, rollover, brand dashboard slots or page audits in the plan comparison, so real monitoring starts at Pro.
- Brand dashboard slots are capped by plan at 10 on Pro, 50 on Growth and 100 on Enterprise, and extra slots must be bought in the app, which multi-client agencies should budget for.
- There is no permanent free tier and the custom plan has no published prices, so anything beyond the listed Pro, Growth and Enterprise subscriptions is a quote.
FAQ About Rankscale
Rankscale Pricing
Rankscale uses credit-based subscriptions with a seven-day free Pro trial, Essentials from $20 per month, Pro at $99, Growth at $385 and Enterprise at $780 per month with 1,200, 5,500 and 12,000 monthly credits plus included brand dashboard slots (10, 50 and 100) and page audits, 15 percent off on yearly billing, and a custom plan quoted on request.
Check official pricingFree Trial
Seven-day trial of Pro with no charge until day seven and cancel anytime. The homepage and pricing page both invite you to start a free trial to see your AI visibility before paying.
Essentials
For individuals and startups exploring AI visibility. Audit whether you are ready for AI and get recommendations to improve visibility. The plan comparison shows no credit allocation, no rollover, zero brand dashboard slots and zero page audits, so the entry tier is audit-focused.
Pro
1,200 monthly credits that track up to 4,800 answers from AI engines, 10 brand dashboards, 50 page audits, unlimited search terms, all regions and hourly to monthly scheduling. Adds credit rollover up to 2x, custom dashboards, CSV and Google Sheets exports, MCP, Data Studio integration and shareable dashboards.
Growth
For growing agencies. 5,500 monthly credits that track up to 22,000 answers, 50 brand dashboards, 200 page audits, credit rollover up to 3x, white-label dashboard links with API, REST API access for metrics and share links, and agency program benefits including lifetime affiliate commissions and a partner directory entry.
Enterprise
For enterprises requiring extensive capabilities and premium support. 12,000 monthly credits that track up to 48,000 answers, 100 brand dashboards, 200 page audits, credit rollover up to 3x, REST API access, white-label dashboards, priority support and a dedicated onboarding session.
Custom
For tailored credit volume, team size and workflow: individual credits, SSO, trainings, custom API, additional payment methods, priority feature requests, a dedicated success manager, custom integrations and SLA guarantees. Priced on request through the sales team.
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