Rankscale
A dashboard that tells you how often ChatGPT, Perplexity, Gemini and other AI chatbots mention your brand — and what they say about it.
🔗 Visit Rankscale
Description
Google used to be the only place people asked "what's the best tool for X" — now a growing share of them ask ChatGPT or Gemini instead, and those answers come from somewhere you can't see with a normal analytics tool. Rankscale is built to close that gap: it runs your brand's name and topic through 17+ AI engines on a schedule and reports back whether you were mentioned, how you were framed next to competitors, and which sources the AI actually cited to make that judgment.
Under the hood, Rankscale tracks brand mentions, citations, sentiment, and share of voice across ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews, DeepSeek, Grok, Copilot and Mistral, filtered by 240+ regions and languages. It runs page audits against 200+ technical factors relevant to how AI crawlers and citation engines parse content, auto-identifies competitors appearing in the same answers, and estimates search volume for the prompts it tracks. Everything runs on a monthly credit system (queries against AI engines cost credits, with unused credits rolling over), and the Growth tier and above expose a REST API and white-labeling for agencies reporting this to their own clients.
💬 Our review
The short version: Rankscale is a solid, mid-priced entry into the crowded new field of "AI search visibility" tools — wide engine coverage and genuinely useful audits, but the pricing model (pay-per-query credits) means costs scale with how thoroughly you want to monitor, unlike a flat SaaS seat.
Against direct competitors like Otterly, Profound, or Peec, Rankscale's strongest card is breadth — 17+ engines and 240+ regions is more geographic granularity than most rivals offer, which matters if your brand competes differently market by market. The $20/month entry tier is a low-commitment way to try it, but it's a near-empty placeholder (essentially no credits), so the real starting point is the $99/month Pro tier with 1,200 credits — comparable to Otterly's $189/month Standard plan for prompt volume, making Rankscale meaningfully cheaper at the low-to-mid end. Where it's less competitive is at the top: Profound's enterprise tier brings deeper AEO-specific tooling (like auto-generated content briefs) that Rankscale doesn't match yet. For a mid-market brand or agency wanting broad AI-engine coverage without enterprise pricing, Rankscale is a reasonable default; if you specifically need citation-to-content-brief automation, Profound is worth the premium.
💰 Pricing
📊 Global score
🤖 AI-enriched data
Essentials from $20/mo (near-empty starter tier); Pro $99/mo (1,200 credits, 50 page audits); Growth $385/mo (5,500 credits, 200 audits, white-label, API); Enterprise $780/mo (12,000 credits, 100 dashboards). 7-day free trial on all plans, 15% off yearly billing.
Pros
Widest engine + region coverage among GEO tools (17+ engines, 240+ regions)
Page audits against 200+ technical AI-visibility factors
Credits roll over month to month
API and white-label available from Growth tier
Cons
Credit-based pricing makes cost unpredictable at scale vs flat SaaS pricing
Entry $20/mo tier is essentially unusable (near-zero credits)
No auto-generated content briefs like Profound offers
New entrant in a fast-moving, still-consolidating category