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The AI visibility tracker for generative search.
Rankscale is a GEO platform focused on measuring and improving how brands appear in generative AI answers.
Rankscale is a GEO/AI-search visibility platform for tracking brands, products, ads, mentions, citations, sentiment, rankings and competitors across 17+ AI engines, with page audits, prompt research, dashboards, reporting, Looker Studio and API access.
Good fit for Marketing and SEO teams, agencies, publishers, SaaS companies and enterprises that need to measure and improve brand visibility, citations and sentiment in generative search across multiple markets and AI engines
Paid plans start at $20/month (Essentials); Pro is $99/month, Growth is $385/month, and Enterprise is $780/month. Pro has a 7-day free trial; the site also advertises a free AI visibility/ranking analysis.
Essentials
$20
monthly starting price
Core monitoring and support; the comparison table also lists page audits, dashboards, analytics, exports and support rows, but feature availability is represented in the table rather than a readable top-card summary.
The comparison table lists unlimited search terms, all regions, 70+ AI engines and hourly-to-monthly scheduling; the page does not show a top-card credit allocation for Essentials.
Pro
$99
monthly
Advanced insights, shareable dashboards and Looker Studio; 7-day free trial, no charge until day 7 and cancel anytime.
1,200 credits/month; up to 4,800 AI-engine answers; 10 brand dashboards; 50 page audits/month; unlimited search terms; all regions; 70+ AI engines; hourly-to-monthly scheduling.
Growth
$385
monthly
Agency-oriented benefits, white-label options and REST API access for metrics and share links, plus agency resources/Slack support as shown in the comparison table.
5,500 credits/month; up to 22,000 AI-engine answers; 50 brand dashboards; 200 page audits/month; unlimited search terms; all regions; 70+ AI engines; hourly-to-monthly scheduling.
Enterprise
$780
monthly
REST API access, dedicated partner, enterprise capabilities and premium support; tailored options include SSO, training, custom API, custom integrations, SLA guarantees and dedicated success management.
12,000 credits/month; up to 48,000 AI-engine answers; 100 brand dashboards; 200 page audits/month; unlimited search terms; all regions; 70+ AI engines; hourly-to-monthly scheduling.
Last verified September 2026 against rankscale.ai/pricing. Vendors change packaging often; confirm before buying.
Scorecard
2.9/5 overall, weighted for AI SEO automation tools. How grades work.
Deep AI-search research across prompts, competitors, citations, sentiment, ads and page audits, but not a full traditional SEO research suite.
The product lists prompt research, competitor analysis, citation analysis, sentiment analysis and page audits. https://rankscale.ai/
Useful prompt/intent research and semantic volume estimation, but no evidence of a conventional keyword-volume/backlink database.
Prompt Research estimates prompt search volume through semantic reconstruction and decodes intent/prompt density. https://rankscale.ai/
Strong competitor, citation, sentiment, topic and execution context inside its own dataset; limited evidence for external app or private-company grounding.
Looker Studio exposes full responses, citations and top-five competitor rankings, while the product includes competitor/citation analysis. https://rankscale.ai/integrations/google-looker-studio
Competitor context
Provides content gaps and recommendations, but does not create content from scratch or publish it.
The official full description says it provides improvement suggestions and comparisons but does not create content from scratch. https://rankscale.ai/llms-full.txt
Core product purpose: monitoring, diagnosing and optimizing visibility in generative engines.
Rankscale explicitly calls itself a GEO platform and tracks mentions, citations, rankings and share of voice across 17+ engines. https://rankscale.ai/features/ai-rank-tracker
Actual AI-oriented technical audits are supported, but Rankscale is not presented as a complete crawler or traditional technical SEO platform.
Page Audits are described as checks of AI bot crawlability, site hierarchy and technical SEO signals. https://rankscale.ai/llms-full.txt
No CMS publishing, editorial calendar or content deployment workflow is documented.
The documented feature set covers analysis, tracking, recommendations, exports and reporting; the official description specifically says it does not create content from scratch. https://rankscale.ai/llms-full.txt
Excellent tracking of visibility, mentions, ranks, citations, sentiment, share of voice and historical trends with configurable schedules.
The tracker documents real-time analytics, stability analysis, multi-engine monitoring and trends; Looker adds time-series metrics. https://rankscale.ai/features/ai-rank-tracker
Early but real agent access: beta MCP offers read-only assistant access and REST API supports core metrics/share links.
Rankscale MCP works with Claude, ChatGPT, Cursor and Codex; API provides metrics and share links. https://rankscale.ai/mcp and https://rankscale.ai/api
Agentic workflow coverage
A visible $20/month entry point and 7-day Pro trial make access possible, but ongoing monitoring is paid and usage is credit-based.
Pricing shows Essentials starting at $20/mo, Pro at $99/mo and credits powering monitoring; Pro offers a 7-day trial. https://rankscale.ai/pricing
The site publishes a directional adoption claim of 1,000+ active users, but no larger independently verifiable customer count is supplied in the allowed sources.
The homepage and pricing page say 'Trusted by 1000+ active users.' https://rankscale.ai/
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Automatic competitor discovery, benchmarking and top-five competitor rankings are supported. https://rankscale.ai/integrations/google-looker-studio
Internal company data
No connector or documented grounding workflow for private internal company data. https://rankscale.ai/api
SEO data grounding
Grounds analysis in tracked search terms, page audits, rankings, citations and technical signals, but not a broad external SEO index. https://rankscale.ai/llms-full.txt
Third-party app grounding
Looker Studio can visualize Rankscale data, but the site documents no broad third-party app grounding. https://rankscale.ai/integrations/google-looker-studio
Custom API grounding
REST API supports core metrics/share links and tailored custom API options are listed for enterprise, while broader coverage is still roadmap. https://rankscale.ai/api and https://rankscale.ai/pricing
Page audits assess AI crawlability, site hierarchy and technical/authority signals and return an AI-readiness score.
The homepage describes 94+ technical checkpoints and page audits covering bot crawlability, hierarchy and technical SEO signals. https://rankscale.ai/
Supports multi-brand dashboards, team workspaces, permissions, share links, exports, white-labeling and enterprise support.
Enterprise documentation lists role-based teams, team collaboration, white-label reporting and multi-client management. https://rankscale.ai/enterprise-ai-visibility-platform
Read-only MCP lets assistants answer questions about brand visibility, competitors, citations and sentiment, but does not execute optimization tasks. https://rankscale.ai/mcp
Autonomous execution
Scheduled monitoring runs automatically, but no autonomous content, CMS or account changes are documented. https://rankscale.ai/pricing
Human control and review
MCP is explicitly read-only and revocable; recommendations are presented for human action. https://rankscale.ai/mcp
Integration surface
Core REST API, Google Looker Studio and MCP provide real integration surfaces, with broader API integrations on the roadmap. https://rankscale.ai/api
Memory and persistent context
Agents can query live account data and the same dashboard data, but persistent agent memory is not documented. https://rankscale.ai/mcp
Evaluation and feedback loop
Historical visibility, sentiment and ranking trends provide feedback signals, but no explicit agent evaluation loop is documented. https://rankscale.ai/features/ai-rank-tracker
Monitoring and recurring schedules are automated and MCP is easy to connect, but actions remain recommendation/read-only rather than autonomous execution.
The pricing page documents hourly-to-monthly scheduling, while MCP is explicitly read-only and cannot change brands, terms or settings. https://rankscale.ai/pricing and https://rankscale.ai/mcp
A genuine free AI visibility/ranking analysis is documented, but it is a limited preview rather than a full free product tier.
The official llms page says the free audit/ranking analysis needs no registration and evaluates content, prompts, rankings, competitors and citations. https://rankscale.ai/llms-full.txt