Peec AI vs Rankscale, the only two vendors that publish the formula behind their answer count, and they land within a tenth of each other
Peec multiplies prompts by active models by frequency and prints the result. Rankscale prices each engine in credits and prints the conversion. Work both out and the cost per AI answer comes out almost identical at every comparable size.
AI Knows Us · Updated 2 November 2026
Run the arithmetic on these two and the useful finding is how little there is to choose between them on price. Read on 31 October 2026, peec.ai/pricing publishes a row headed Monthly AI answers with the note that it is calculated by multiplying tracked prompts by active models and tracking frequency, and prints 4,500 on Starter at $95 a month, 13,500 on Pro at $245 and 31,500 on Advanced at $495. On the same day rankscale.ai/pricing publishes monthly credits against answers from AI engines, 1,200 credits and up to 4,800 answers on Pro at $99, 3,000 and 12,000 on Pro+ at $229, 5,500 and 22,000 on Growth at $385 and 12,000 and 48,000 on Enterprise at $780.
Cost per AI answer, our arithmetic on their published figures
| Plan | Published price a month | Published AI answers a month | Per answer, our division |
|---|---|---|---|
| Peec Starter | $95 | 4,500 | About 2.1 cents |
| Rankscale Pro | $99 | 4,800 | About 2.1 cents |
| Peec Pro | $245 | 13,500 | About 1.8 cents |
| Rankscale Pro+ | $229 | 12,000 | About 1.9 cents |
| Peec Advanced | $495 | 31,500 | About 1.6 cents |
| Rankscale Growth | $385 | 22,000 | About 1.8 cents |
| Rankscale Enterprise | $780 | 48,000 | About 1.6 cents |
Two vendors who priced independently, publishing two different units, arriving within about a tenth of each other at every comparable size. That makes price the wrong axis for this decision and moves the whole thing onto what the answers are spent on.
Peec's formula is fixed and Rankscale's is variable
Peec's multiplier is published and it is the same on every monthly tier: Active models, 3. Its model list on all tiers is ChatGPT, AI Mode, AI Overviews, Microsoft Copilot, Gemini and Naver AI, and you choose three of them to be active. The arithmetic checks out exactly against its own figures: 50 prompts times 3 models times daily over a 30 day month is 4,500, 150 times 3 times 30 is 13,500 and 350 times 3 times 30 is 31,500. Unlimited active models and up to 13 LLM models tracked, including Claude Sonnet 4, GPT 5 Search, Grok, Deepseek, Qwen, Mistral, Meta Spark and Perplexity through its API, arrive at Enterprise, which is custom and annual.
One qualification on that cap, found further down the same page. Peec publishes an Add-ons block headed Additional Models, described as tracking more AI models without switching plans and adding extra models any time in your dashboard, listing ChatGPT, AI Mode, AI Overviews, Microsoft Co-pilot, Perplexity and Gemini, with a note against each plan saying the price reflects one additional model based on the prompts that plan includes. The figures themselves were not in the served HTML when the page was read on 31 October 2026, where the only prices in the markup are the three plan prices. So a fourth model is buyable on a monthly plan and its cost is a question for Peec rather than something this page can quote.
Rankscale's multiplier is yours to set. Its credit calculator publishes a weight per engine, Google AI Mode, ChatGPT, Perplexity and Gemini at 0.25, DeepSeek at 1 and Anthropic Claude at 2, with an FAQ line that a query typically costs 0.25 credits per engine per prompt, and the table says 17 or more engines with scheduling from hourly to monthly. So the 4,800 answers on Pro is what 1,200 credits buys at 0.25 each; spend some on Claude at 2 and the answer count falls, spend none and it holds.
The practical consequence is that Peec's number is a promise about volume and Rankscale's is a budget. If you want the monthly figure settled before you start, Peec. If you want to decide which engines deserve daily checks and which deserve monthly ones, Rankscale, and the hourly option and credit rollover of up to two and up to three times exist for exactly that.
What the answers get spent on, which is where these two separate
| Published capability | Peec AI | Rankscale |
|---|---|---|
| Containers | Projects, 1, 2, 5, unlimited at Enterprise | Brand dashboard slots, 2, 10, 25, 50, 100, extra slots addable in app |
| Countries | 1, 3, unlimited by tier | All regions on every tier |
| Seats | Unlimited team users on every plan | Team workspaces with unlimited seats |
| Your own site | Crawl insights with 4.5M, 13.5M and 31.5M bot visits, crawlability across 40 or more bots | Page audits, 10, 50, 100 and 200 a month |
| Fact checking | 5, 10 and 25 prompts fact checked against 5, 20 and 50 facts you set per brand | Not published |
| Objections | Recurring arguments AI raises against your brand, monthly on Pro, weekly on Advanced | Not published |
| White label | Not published | White labelled dashboard links, with API |
| Agency programme | A separate agency pricing page is linked | Affiliate commissions, partner directory entry, accelerator sessions |
| Reporting pipes | Looker Studio connector at Advanced, API at Enterprise | REST API from Pro+, MCP, Data Studio, CSV and Sheets exports |
| Shopping | Product catalogue upload from Shopify or CSV, SKU level visibility and win rate | Shopping analysis published as a feature |
Two features only one of them publishes, and they are the interesting ones
Peec publishes prompts fact checked and facts per brand, described as statements you set about your brand used as the reference each claim is checked against, with allowances of 5, 10 and 25 prompts against 5, 20 and 50 facts. It also publishes Objections, defined as recurring arguments AI raises against your brand, grouped by meaning and traced to the pages behind them. Nobody else in this pair publishes either, and for a business whose problem is engines repeating something inaccurate rather than omitting them entirely, those two rows are the reason to shortlist it.
Rankscale publishes what you do with the data once you have it: white labelled dashboard links, a REST API from Pro+, MCP, a Data Studio integration, CSV and Sheets exports, and a public changelog in its footer. For an agency assembling a client report out of several sources, that is the half that matters.
Which to buy
- Three engines are enough and you want the monthly volume fixed. Peec, from $95, and check its model list against your buyers before you choose your three.
- You need more than three surfaces without an Enterprise contract. Rankscale, which puts 17 or more engines in one credit pool from Pro at $99.
- The engines are saying something wrong about you. Peec, on fact checking and Objections, both published with allowances per tier.
- You are reporting to clients under your own brand. Rankscale Growth at $385, on white labelled dashboard links and the published agency programme.
- You sell in several countries on a middle budget. Rankscale publishes all regions on every tier; Peec publishes 1 country on Starter and 3 on Pro, with unlimited at Advanced.
The third published formula, which is ours
We sell in this category and we publish the same kind of arithmetic, so it belongs here. Read on 31 October 2026 our pricing page publishes GEO Growth at $299 a month, or Rs 11,799, with 100 buyer questions, 1,200 scheduled answers a month and 1,600 credits, and explains the gap between those last two numbers rather than leaving it: every question on all five AI apps, then three more rounds on the two that move most. One credit is one question on one app once, a Claude check uses 3, and a failed check returns its credit.
Divide our figures the way the table above divides theirs and we are considerably more expensive per AI answer than either vendor on this page. Both of them are cheaper monitors than we are and the division says so. What our plans also include, and what neither of these two sells, is 20 pages a month written and published on Growth and 40 on Scale, which is the work of changing the answer rather than recording it. On published lines that go against us: both vendors here publish unlimited seats and we publish one login with full access, and both publish daily tracking where we publish weekly on priority questions with 30 and 90 day cycles on the rest.
For the reporting side of the Peec half of this comparison, see Peec AI alternatives with better reporting.
Questions about answer counts at Peec AI and Rankscale
Does Peec's published answer count actually match its own formula
Yes, exactly. 50 prompts times 3 active models times daily over 30 days is 4,500, which is the figure printed on Starter, and the same multiplication reproduces 13,500 on Pro and 31,500 on Advanced. A published formula that reproduces the published totals is worth more than either on its own.
Can I track more than three models on a Peec monthly plan
Its comparison table publishes Active models as 3 on Starter, Pro and Advanced, and unlimited at Enterprise, with six models available on every tier and eight more reachable through the API at Enterprise. Its Add-ons block then offers Additional Models on a monthly plan, priced per plan against the prompts that plan includes, and those figures were not in the served HTML on the date this was read. So a fourth model is available without an Enterprise contract and the price has to be asked for.
Why do the two vendors end up at nearly the same price per answer
The page does not claim to know, and the figures are what they are: about 2.1 cents at the entry, about 1.8 cents in the middle and about 1.6 cents at the top for both. The practical point is that cost per answer will not separate these two, so spend your evaluation time on countries, containers, fact checking and reporting instead.
Which one includes more countries for the money
Rankscale, which publishes all regions on every tier including Essentials. Peec publishes 1 country on Starter, 3 on Pro and unlimited on Advanced at $495.
What is a fact, in Peec's sense
Its own definition is statements you set about your brand, used as the reference each claim is checked against, with 5 allowed on Starter, 20 on Pro and 50 on Advanced. The companion row, prompts fact checked, is how many of your tracked prompts have their answers compared against those statements.
Do both publish a bot or crawler view of my site
Both, in different units. Peec publishes crawl insights with a bot visit allowance of 4.5 million, 13.5 million and 31.5 million a month and a crawlability audit across 40 or more bots. Rankscale publishes page audits at 10, 50, 100 and 200 a month and an AI visits feature on its higher tiers.
How we know this
We read the assistants rather than guessing what they do. In our own audit of 1,260 saved answers from ChatGPT and Gemini across the United States, the United Kingdom and India, 82.0% of every citation landed on a site the business itself owned, and review directories took 0.7%. Counted as one domain per reading, 16,516 of 20,143.
That is the whole asymmetry: the pages you own are the pages an assistant quotes back to a buyer. See the dated readings and the method on our proof page.
Find out whether assistants name your business, on your own domain and your own buying questions.
By Aditya Goel, Founder, AI Knows Us. Reviewed 1 November 2026.