Rankscale
AI search visibility tracking across ChatGPT, Perplexity, Gemini, and other engines
Linked from rankscale.ai · checked 29 Oct
- Tool type
- AI search visibility platform (AEO and GEO)
- Made for
- Agencies, enterprise brand teams, and SEO teams
- Runs on
- Web app and MCP-connected AI assistants
- The dashboard runs in the browser; the MCP server lets Claude, ChatGPT, Cursor, and other assistants read live data. The REST API is for programmatic access.
What it does
Rankscale is a web application that runs brand and competitor prompts against AI search engines such as ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews, and Copilot. It reports visibility scores, rankings, citations, sentiment, competitor comparisons, shopping and ad placements, query fanouts, and page audits that check AI readiness.
Marketing, SEO, and analytics teams use it to see how a brand appears in generative answers over time and which source domains AI engines cite. Users can connect GA4 and Search Console (beta) to relate AI visibility to traffic, and an MCP connection lets assistants such as Claude or ChatGPT query live Rankscale data in plain language, with writes and credit-spending runs requiring explicit permission.
It is aimed at agencies, enterprise brand teams, and multi-brand SEO groups. Plans are credit-based, from Pro at $99 per month up to Enterprise at $780 per month, and a free trial is offered. REST API access starts with Pro+, and the vendor describes API coverage as still expanding. Sign-up is required.
What it can do
- Track brand visibility, rankings, and sentiment across 17+ AI engines
- Monitor citations and source domains that AI engines reference
- Benchmark competitors' AI visibility, citations, and sentiment
- Audit pages for AI readiness and AI bot crawlability
- Estimate prompt volume and intent for AI search optimization
- Inspect shopping and sponsored placements in AI answers
Works with
- Google Analytics 4 (GA4) (beta)
- Google Search Console (beta)
- Google Data Studio
- Model Context Protocol (MCP) server for AI assistants such as Claude and ChatGPT
- REST API
Before you choose
- Pricing is credit-based; monitoring frequency, prompt count, and engine selection determine credit consumption and may exceed plan allocations.
- Actionable recommendations, GA4 and Search Console connections, and the MCP server are labeled beta on the source pages.
- REST API coverage is described as expanding, and API access is included only from Pro+ upward.
Listed under
Get started
Sign-up is required; onboarding guides brand tracking setup.
- Create an account at the signup page and choose a plan or start the free trial.
- Add brands and competitors, select AI engines and regions, and set a monitoring schedule.
- Optionally connect GA4 and Search Console (beta), or connect Rankscale MCP to an AI assistant with read-only permissions.
Plans and prices
Prices in USDPlans include monthly credit allocations (1,200 to 12,000 credits) and credits can be topped up in the app. Yearly billing is discounted 15% and is shown as a monthly equivalent (Pro $84/mo). Free trial length and terms should be confirmed with Rankscale.
- Track up to 4,800 answers from AI engines per month
- 10 brand dashboards, all regions
- REST API access and 5 prompt researches per month
- Track up to 12,000 answers from AI engines per month
- White-label dashboard links and agency benefits
- Track up to 22,000 answers from AI engines per month
Source: rankscale.ai/pricing, checked 29 Oct 2026. Prices can change; check before you buy.
Sources for this overview
Product pages, documentation, and pricing checked 29 Oct 2026. Each source supports part of the overview; availability and prices can change.
- AI Visibility Platform for ChatGPT, Perplexity & AI Overviews | Rankscale ↗rankscale.ai
- Rankscale MCP - Connect AI Assistants to Your Data - Rankscale ↗rankscale.ai
- Enterprise AI Visibility Platform | Rankscale ↗rankscale.ai
- Pricing | Rankscale ↗rankscale.ai
- API | Rankscale ↗rankscale.ai
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How we research- Company website
- rankscale.ai: product, pricing and policy pages
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Last checked 29 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.