If you are considering a different AI tracker, you need a billing and scheduling model that fits how often your questions need checking. Rankscale's credit meter is its distinguishing feature: prompts multiplied by engines multiplied by frequency, scheduled anywhere from hourly to monthly, with unused credits rolling over up to a stated multiple. Teams look elsewhere when the credit arithmetic becomes hard to forecast, when they want a flat prompt allowance instead, or when the tracking is fine but the rest of the work is not covered.
OppAlerts publishes this page and is one of the alternatives on it. Rankscale starts at $20 a month and nothing here undercuts it.
Rankscale's plans start at $20 a month, and none of the products below is cheaper. If cost alone is the reason for switching, this list offers no savings.
Otterly.AI, when you want a flat prompt allowance
Otterly replaces the credit calculation with a plain count of search prompts: 15, 100 and 400 at $29, $189 and $489 a month, with extra blocks of 100 at $99. All three plans track the same four engines, ChatGPT, Google AI Overviews, Perplexity and Microsoft Copilot, so the engine list does not change your bill.
That makes forecasting straightforward, which is the usual reason for the move. The cost is flexibility: where Rankscale lets an hourly schedule and a monthly schedule share one allocation, Otterly's plan is the allowance regardless of how often you need each prompt refreshed.
Otterly also publishes API, MCP and Agent Analytics allowances on its enterprise line from $1,000 a month, which Rankscale's published plans do not describe in the same terms.
Peec AI, when prompt research determines the prompt set
Peec's meter also multiplies prompts by models by frequency. The structure will feel familiar, but the plans fix the prompt count at 50, 150 and 350 with three chosen models at daily frequency. Additional models can be added to any plan without moving up a tier, and team users are unlimited.
The reason to move is the reporting rather than the meter. Peec scores prompt volume from 1 to 5, suggests prompts from brand context and coverage gaps, classifies each prompt as branded or non-branded and by intent, and scores brand attributes. It also analyzes source gaps and lists which prompts return sponsored placements and which advertisers appear. Rankscale's prompt research covers part of that ground; compare the two reports directly rather than assuming they match.
Profound or Scrunch, when the work extends past measurement
Profound adds two capabilities Rankscale does not have. Agents turns a topic and a brand kit into briefs and full drafts that publish to your CMS. Agent Analytics reads AI crawler activity from your own Cloudflare, AWS or Vercel logs. Its engine list names up to nine at Enterprise, though Starter tracks ChatGPT alone and Growth covers three, with one and three seats.
Scrunch works on your website directly: Site Diagnostics, Content Delivery and Agent Traffic, with five site audits a month on its $250 Core plan. Core covers four engines, 125 unique prompts, one brand workspace, five user licenses, one country, two languages, five competitors and three personas. Both products charge for seats where Rankscale does not, which is a real loss for a large team.
OppAlerts, when the campaign has to do more than track
OppAlerts tracks ChatGPT, Gemini and Google AI Mode for prompts, and Google and Bing for keywords. Perplexity and Claude are not available, and collection happens at most once a day, so a team using Rankscale's hourly schedule is giving that up.
Its meter is closest to Rankscale's of any product here: one call is one tracked item, on one provider, on one day, and you tick which days need fresh data. The allowance is weekly and does not roll over.
What it adds is the work that follows the measurement. One campaign definition covering the business, its brands, its competitors and its personas provides context for all of it:
- A backlink database with a link gap report against named competitors.
- A prospect index searched by meaning across opportunity types such as guest contribution pages, resource lists, expert roundups, podcasts and directories.
- Stored public contact details for those sites, and monthly PageRank history for a host.
- A news and blog index covering the brand and its competitors.
- Conventional keyword rank tracking, and a content optimizer that compares a draft with categories you select and lists the phrases it does not contain.
It does not audit URLs, and Rankscale's included page audits have no equivalent here.
Matching the reason to the product
| Why Rankscale stopped fitting | Look at |
|---|---|
| Credit forecasting is too hard | Otterly.AI, a flat prompt allowance |
| Prompt research and intent classification | Peec AI |
| More models than the plan allows | Peec AI add-on models; Profound or Scrunch Enterprise |
| Drafts written and published | Profound Agents |
| Crawler activity on your own site | Profound Agent Analytics or Scrunch Agent Traffic |
| Site audits beyond a page check | Scrunch |
| Published API and MCP allowances | Otterly.AI |
| Prospects, coverage, contacts and keyword positions | OppAlerts |
| Hourly collection | Stay with Rankscale; nothing else here schedules that often |
Every product in this list meters a different unit, so hold the prompt count, the engine list and the run frequency the same before comparing quotes. How to compare AI search tool costs explains the arithmetic.
Calculate the same collection workload for each option before choosing. That makes the comparison relevant to the frequency and coverage your reports require.
For the two-product version, see OppAlerts and Rankscale compared.