Rankscale AI review and pricing

In the 90 days to 29 October 2026, Google showed a fullreach.ai page 47 times for searches that name Rankscale, in 9 wordings. This guide states what Rankscale covers, what it costs, its strengths and its limits, from its own pricing page. It names three alternatives and the buyer each one fits. For the same questions about a second tool that sells credits, read the AthenaHQ review. For nine tools in one table, each priced and dated, read the best AI visibility tools.

What is Rankscale, and what does this Rankscale review check?

Rankscale is an AI visibility tracker that sells credits, not prompts. A customer spends the credits on the engines and the cadence it picks for each search term. We read its pricing page on 13 October 2026, and every Rankscale figure in this guide comes from that read. This Rankscale review checks coverage, how often AI platforms name Rankscale, the price, the strengths, the limits and three alternatives. It reads no review site, so it repeats no reviewer's complaint.

For the definition of the category and the three things such a tool does every day, read what an AI visibility tool is. For the difference between an AI ranking tool and a model leaderboard, read what an AI ranking tool is.

Which AI platforms does Rankscale cover?

Rankscale covers all seven AI platforms that FullReach AI measures, and three more: Claude, DeepSeek and Mistral. Each engine a prompt runs on costs credits. So every Rankscale plan reaches every engine, and its credits decide how many prompts it asks.

A plan's coverage is therefore a budget decision, not a plan feature. A term you send to three engines costs three times the credits of a term on one engine. The guide on why AI visibility numbers differ states how far the answers of the platforms differ.

How often do AI platforms name Rankscale?

AI platforms name Rankscale in about one answer in seventeen about AI visibility tools. In the 28 days to 30 October 2026, on 7 AI platforms, our own project analyzed 8,953 answers to its prompts about AI visibility tools. 521 of them named Rankscale, 6%. The project does not monitor Rankscale, so the count comes from the brands the analysis detected on its own, 1,708 in the window. In the same 28 days, four of those brands appeared in more answers than Rankscale. They are Semrush in 2,471, Ahrefs in 1,614, SE Ranking in 1,030 and Ahrefs Brand Radar in 731. AthenaHQ and Scrunch, the two least named of our monitored rivals, appeared in 1,239 and 1,282 answers.

Grok also searches the web for Rankscale's price before it answers. In the same 28 days, Grok ran the search "Rankscale AI pricing" 10 times, behind 10 answers. It ran it for prompts such as "What are the pricing options for AI ranking tools?" and "What are the best Peec AI alternatives?". Two more Grok searches asked whether Rankscale includes every engine, 5 times in all. ChatGPT ran no search that named Rankscale.

What does Rankscale cost?

On 13 October 2026, Rankscale's pricing page listed four monthly plans, from 99€ to 780€. The page states that one prompt on one engine typically costs 0.25 credits. So one credit asks four answers. The table states what each plan buys at one answer a day on each of the seven platforms.

On that read, one prompt asked daily on all seven platforms costs 4.50€ a month on Pro, and 3.42€ on Enterprise. A slower cadence or fewer engines stretch the credits. The comparison page shows how the prompt count follows from the credits, and sets the two plan tables side by side. Our guide on how many prompts to track states how far a visibility figure moves at 22 prompts, and at 50. Our pricing guide lists the five ways the tools price their plans.

FullReach AI sells prompts, not credits, and every prompt runs once a day on every platform. FullReach AI costs 80€, 200€ and 420€ a month, billed monthly, for 50, 150 and 350 prompts, with every platform included.

What are Rankscale's strengths and limits?

Rankscale's strengths are the choice of engines and cadence, and three features beyond the monitoring. It measures the sponsored ads in AI answers. It audits pages for AI search. Its Growth plan adds an agency program. The comparison page sets each feature beside ours, with the date of each read.

Its limits follow from the same choices. Plans sell credits, not prompts. The answers a plan buys depend on the engines picked, so the plan card does not state the price per prompt with every engine. White-label dashboard links start on Growth, so a branded client report costs 385€ a month or more.

Which alternatives fit a Rankscale buyer?

Three alternatives fit a Rankscale buyer: FullReach AI, Peec AI and AthenaHQ. Each one fits a different buyer, as the list below states. In the 90 days to 29 October 2026, 18 of the 47 impressions paired Rankscale with another tool: SE Visible, Peec AI or Profound. We hold no dated record of SE Visible, so this guide states no figure for it.

• FullReach AI fits this buyer: Marketing teams and agencies that want seven AI platforms measured daily at one price.
• Peec AI fits this buyer: Marketing teams that want many features, with three models on each plan. Searchers paired it with Rankscale 7 times in those 90 days.
• AthenaHQ fits this buyer: Small teams that want many models and an agent that edits content, and can budget in credits. The AthenaHQ review holds its platforms, caps, markets, report and price.

We read the Peec AI pricing page on 29 September 2026, and the AthenaHQ pages on 13 October 2026. FullReach AI is our own product, and it comes first.

A buyer who wants pages served to AI agents as well as monitoring reads the Scrunch AI review. It holds Scrunch's coverage, caps, price and the enterprise fit questions.

What to do next

1. List the engines and the cadence you need. Count the credits a month they cost on Rankscale's calculator.
2. Run the Rankscale trial and the FullReach AI trial on the same prompts for a week. Compare the answers each one stores.
3. Compare the price of one prompt at your cadence, not the price of the plan.

For how FullReach AI collects the answers, read the methodology.