Key takeaways
- Pro is $99 a month for 1,200 credits; ChatGPT, Gemini and Perplexity runs cost 0.25 credits, Claude 2.
- All engines come on every plan, but the credit meter is the real limit.
- Users praise breadth and value, and complain about the learning curve and fast-burning credits.
- Rankscale tracks broadly, but recommendations are in beta and the fixing is yours.
How we checked this: We read Rankscale’s pricing page, changelog, facts page, team page and homepage on October 11, 2026, including the plan and engine data the pricing page loads. Ratings come from OMR, G2, SourceForge and Trustpilot as shown that day. Peec, Otterly and LLMrefs prices come from their own pricing pages. Competitor-written reviews are labelled as biased. We did not test the product hands-on. Funding and repeat-sampling details are not public.
AnswerMentions sells its own AI visibility audit, which appears in some comparisons on this page. No vendor paid for placement or reviewed this article before publication.
Is Rankscale worth it? The verdict
Yes, for agencies and small teams that want many engines for little money and can manage a credit meter. No, if you need fixed bills, documented sampling rigor or help fixing what you find. Rankscale tracks broadly, but recommendations are still in beta, so the fixing is yours.
Ratings are strong but thin. OMR Reviews shows 4.6 out of 5 from 27 reviews, mostly from small companies. G2 shows 5.0 from two reviews and says that is not enough to give buying insight, and Trustpilot has none.
Reviewers on OMR praise engine breadth (one calls it a swiss army knife for AI tracking), per-prompt drill-down, sentiment analysis, value for money and fast support. That matches what the product is: a wide, cheap, hands-on tool.
Our take: start with Pro at $99 a month, which has a 7-day trial with a limited credit allowance. Price a real prompt set before you commit, because credits, not seats, are the limit. If that sounds like work, see the last section for alternatives.
What is Rankscale?
Rankscale is a credit-based AI visibility tracker from Rankscale GmbH in Vienna that measures how often AI engines mention and cite your brand. It targets agencies and enterprises managing several brands. The project started in October 2024 and subscriptions launched in July 2025.
Rankscale calls itself the AI Visibility Platform and says it tracks 17+ engines for agencies, enterprise and SEO teams. The team page lists Mathias Ptacek as founder and CEO, and the homepage puts headcount at 13 in August 2026.
Treat the social proof as vendor-supplied. The homepage claims 1,000+ active users and shows logos such as Bosch, UBS and Dentsu. Funding, rounds and investors are not public, which matters if you plan to depend on it for years.
Rankscale pricing and credits, explained
Rankscale sells monthly credit bundles from $99 for Pro (1,200 credits) to $780 for Enterprise (12,000 credits), plus a yearly-only Essentials listed at $20 a month. Each engine run spends credits: 0.25 for ChatGPT, Gemini, Perplexity, AI Mode and AI Overviews, 1 for DeepSeek, 2 for Claude and 4 for Meta Muse Spark.
Prices are as of October 2026, from Rankscale’s pricing page. Yearly billing takes 15% off, credits renew monthly, and monitoring pauses when they run out. Credit costs also move: AI Overviews runs dropped from 1 credit to 0.25 in March 2026. The Essentials card is thin on detail, so ask what it includes, and see our Rankscale pricing guide for every limit.
Worked example: 50 prompts run weekly on three 0.25-credit engines cost 37.5 credits a run, or about 162.5 a month, matching Rankscale’s own calculator example. Add Claude at 2 credits and each run costs 137.5, about 596 a month (our arithmetic). Run the three cheap engines daily and you spend about 1,125 credits, nearly all of Pro’s 1,200.
| Plan | Monthly price | Credits | Dashboards | Notable |
|---|---|---|---|---|
| Pro | $99 | 1,200 | 10 | 7-day trial, rollover up to 2× |
| Pro+ | $229 | 3,000 | 25 | REST API, 5 prompt researches |
| Growth | $385 | 5,500 | 50 | White-label, agency perks |
| Enterprise | $780 | 12,000 | 100 | REST API, dedicated partner |
Engines and features
Rankscale says it tracks 17+ engines on every plan with no per-engine upsell, including ChatGPT, Gemini, Perplexity, Google AI Overviews and AI Mode, Copilot, Claude and DeepSeek. Features cover citations, sentiment, share of voice, query fan-out, shopping, local results, page audits and, from Pro+, a REST API.
The engine list mixes consumer interfaces and model APIs, which the facts page groups as AI search GUIs and model engines. Per the catalog behind its pricing page, Claude is tracked only through the API, and the Grok interface engine is flagged deprecated from September 30, 2026 even though the homepage still lists Grok. Confirm Grok before you rely on it, and remember API-only Claude may differ from the Claude app.
Citation analysis shows which sources engines cite, and the changelog adds share of voice for source-box domains (August 2026) and full citation CSV export (April 2026). Share of Voice is its own metric, and our AI share of voice calculator lets you check it by hand. Prompt research, estimated by semantic reconstruction rather than a panel, comes with Pro+ (5 a month) and Growth (10 a month). GA4 and Search Console (beta), a Looker Studio connector and an MCP server round out the integrations.
- No bot logs: Page Audit checks AI bot crawlability, but there is no bot-log analytics.
- Beta: Recommendations are still in beta.
- No sampling data: Rankscale publishes nothing on repeat sampling or statistical confidence.
The cons people mention
Users most often mention a steep learning curve, information overload and credits that run out fast, according to OMR reviews. Competitor-written reviews add that costs climb with scale and data is noisy week to week. Treat the first group as user evidence and the second as biased.
Every con below is anecdotal and attributed, except the last bullet, which is ours. The OMR sample is small, and 18 of its 27 reviewers work at small companies.
- OMR reviewers: a steep learning curve and information overload; credits run out fast and the smallest plan is quickly limiting; competitor lists need upkeep; bulk editing is hard.
- G2 reviewer: the interface feels overwhelming at first.
- SourceForge (2025): quite technical, and one reviewer could not download PDF reports. Rankscale has since added PDF export for audits and dashboards.
- Competitor-written reviews (Analyze AI, its review, RankBits): expensive at scale, noisy week to week, no crawler tracking. They call it monitoring-only, which overstates it, since Rankscale has page audits and Scout recommendations.
- Our additions: no public repeat-sampling data, so treat weekly movement as directional until you test it, and no public funding details.
Who Rankscale suits — and who should look elsewhere
Rankscale suits agencies and small teams that need many engines and many brands for a low entry price. Look elsewhere if you need fixed bills, repeat-sampling rigor or someone to tell you what to fix. Peec AI and Otterly are the usual stepping stones.
Agencies get the most from Growth: $385 a month for 5,500 credits, 50 dashboards, white-label links, a REST API and no per-seat charges. Watch credit burn on client work, since OMR users call the smallest plan quickly limiting.
Fixed-prompt plans win on predictable bills. Compare entry plans as of October 2026, then read Peec vs Otterly, our Peec AI review and the full Rankscale alternatives guide. AnswerMentions runs a free AI visibility audit that asks AI the questions your buyers ask and shows which brands get named instead of you.
Reader questions
Frequently asked questions
What is Rankscale used for?
Rankscale is built to track how often ChatGPT, Gemini, Perplexity, Google AI Overviews and other engines mention and cite your brand. It reports visibility, position, citations, sentiment and competitors, adds page audits, and exports to CSV, Google Sheets and, on higher plans, a REST API.
How do Rankscale credits work?
Each engine run spends credits: 0.25 for ChatGPT, Gemini, Perplexity, AI Mode and AI Overviews, 1 for DeepSeek, 2 for Claude and 4 for Meta Muse Spark, per the pricing page. Pro includes 1,200 credits a month. When credits run out, monitoring pauses and history stays viewable; top-ups can be bought any time.
Is Rankscale good for agencies?
Yes, with limits. The Growth plan targets growing agencies at $385 a month, with 50 dashboards, white-label links, a REST API and no per-seat charges. The risk is credit burn across many clients, which OMR reviewers flag. Price a typical client’s prompt set before you promise reports.
Does Rankscale show citation share?
Partly. Rankscale shows which sources AI engines cite and, since August 19, 2026, share of voice for source-box domains, with a full citation CSV export by email. Whether that matches your definition of citation share is worth testing in the 7-day Pro trial before you commit.