Rankscale
Rankscale: Tracks brand visibility, citations and competitors in AI search answers. Ranked #24 of 26 in AI Marketing Tools by our editors (6.8/10); pricing: 7-day trial; best for teams measuring visibility in AI search answers.
At a glance
- Editor score6.8 / 10
- Pricing7-day trial
- Best forTeams measuring visibility in AI search answers
- Free planNo
- Paid from$20/mo
- Primary focusAnalytics
- Founded2025 · Untere Viaduktgasse 10/6, 1030 Vienna, Austria
- Facts checked24 Sep 2026
Where it wins
- Tracks AI visibility, rankings and share of voice across AI engines
- Combines citation analysis, competitor gaps, sentiment and page audits
- Offers shareable dashboards, with white-label and API options on higher plans
Where it doesn't
- Focuses on analytics rather than email, social or ad campaign execution
- GA4 and Google Search Console connections are in beta
- Monthly pricing rises from $20 for Essentials to $780 for Enterprise
Our verdict on Rankscale
Rankscale is a cloud-based platform for monitoring and improving how brands appear in AI-generated search answers. Marketing and SEO teams can track mentions, rankings, citations, sentiment and share of voice across engines including ChatGPT, Google AI Mode, Perplexity, Gemini and Claude. Its analytics focus makes it a fit for teams trying to understand AI search visibility and content gaps, rather than teams looking for a single tool to run campaigns across email, social or advertising.
The product goes beyond visibility scores with citation and source analysis, competitor benchmarking, gap analysis, page audits, prompt research and query-fanout analysis. These features give teams several ways to investigate why a brand appears in AI answers and where competitors or content opportunities stand. Dashboards can be shared or exported; Pro adds brand visibility dashboards and Looker Studio sharing. Growth adds white-label options, REST API access and agency benefits, while Enterprise includes REST API access and dedicated partner support. GA4 and Google Search Console connections are available in beta, alongside integrations including Looker Studio and MCP.
According to the published monthly plans, Essentials starts at $20, Pro is $99, Growth is $385 and Enterprise is $780. A seven-day free trial is available, but there is no free plan. The higher tiers are aimed at organizations that need sharing, white-label reporting, API access or partner support, so buyers should match those needs to the price step-up. Rankscale is a sensible choice for teams prioritizing measurement and analysis of AI-generated search answers; it is less suitable for buyers who need campaign creation or execution features. Its scope is specialized analytics rather than broad marketing operations.
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Rankscale pricing
All 4 Rankscale plans and prices →
Rankscale fact sheet
| Free plan | No |
|---|---|
| Paid from | $20/mo |
| Primary focus | Analytics |
| Email campaigns | No |
| Social publishing | No |
| SEO optimization | Yes |
| Ad campaign tools | No |
| Monthly contacts | Not verified |
| Free trial | 7 days |
| Deployment | Cloud |
| Platforms | Web |
| Support | Email, Live chat |
| Built for | Solo, Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 5 integrations: Google Analytics 4, Google Search Console, Google Looker Studio, REST API, MCP |
| Pricing | 7-day trial (source) |
| Website | rankscale.ai |
| Facts checked | 24 Sep 2026 |
Rankscale integrations
Rankscale lists 5 integrations on its own site.
- Google Analytics 4
- Google Search Console
- Google Looker Studio
- REST API
- MCP
Alternatives to Rankscale
- Copy.aiCopy.ai combines multi-model chat, branded content agents, and workflow automation.9.2
- JasperGoverned AI content workflows with agents, brand controls, optimization, and broad integrations.9.1
- WritesonicA broad content and search visibility toolkit, with annual plans starting at $79/month.9.0
See all Rankscale alternatives →
Also Ranked In
Rankscale is ranked in 2 of our directories.
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Featured on iTechGuides
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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