Depra AI vs Peec AI: one of them is named almost only in India, and its ladder is the only one in this category priced in rupees

22 of the 23 readings that named Depra were Indian. Both pricing documents read 20 October 2026, both HTTP 200.

Published by AI Knows Us · Updated 20 October 2026

Choose Depra AI if you sell in India, because it is the only vendor in this comparison publishing a rupee ladder with the GST line stated, it checks English and Hinglish answers side by side, and it bills in successful checks rather than in attempts. Choose Peec AI if your market is outside India or you need a wider choice of models, because its enterprise tier states up to thirteen LLM models tracked against Depra's four engines plus add ons. Both companies publish enough on their own pricing pages for you to size the purchase before any call, which is rarer in this category than it should be.

The measurement that puts these two on one page

On 16 October 2026 we put 630 buying questions to ChatGPT and Gemini across the United States, the United Kingdom and India, took 1,260 readings and saved the answer text. Counting one naming per reading, Peec AI appeared in the answer text of 198 readings and Depra in 23.

The split by market is the finding. Of Depra's 23 namings, 22 were in the Indian question set, one in the United Kingdom and none in the United States. Peec's 198 were spread across all three: 72 in the United States, 81 in the United Kingdom and 45 in India. 218 readings named at least one of the two and only 3 named both.

So an assistant answering an Indian buying question in this category is many times more likely to bring up Depra than one answering the same question in an American accent, and a shortlist holding both names is one almost nobody has been handed by an assistant. If you are buying for India, that asymmetry is the most useful single fact on this page, because it tells you which name your own market is already hearing.

A name in answer text is a different event from a domain appearing in an answer's source list, and the two are counted and reported apart in this programme. Our own name appeared in zero of the same 1,260 readings.

The criterion this page uses

We make a competing product, we have run no test of either of these and nothing here is scored. The criterion is what each company publishes on its own pricing page: the unit it bills, what one unit buys, which engines are inside a tier, the refresh cadence, and which currency and tax line the ladder is stated in. All of that is readable in ten minutes and both companies publish it.

What Depra's pricing document published on 20 October 2026

The page carries its own update stamp, reading "Updated 19 Oct 2026", and states its ladder in Indian rupees with 18 per cent GST shown separately and both figures printed per plan.

  • Four plans named Starter, Growth, Scale and Enterprise, billed monthly in rupees. The first three start with seven days free and no card.
  • The unit is a successful check. Allowances of 1,600, 7,000, 12,000 and 30,000 successful checks a month, with prompt slots of 16, 70, 120 and 300 and a matching "up to N AI answers a month" printed beside each.
  • All four engines on every plan: ChatGPT, Gemini, Google AI Overviews and Perplexity. "ChatGPT, Gemini and Google AI Overviews are checked daily. Perplexity is checked daily on Enterprise and weekly on the other plans."
  • Any of 40 markets, listed as India, the US, the UK, Europe, the Gulf and Australia, and questions asked in English and Hinglish with multi language support.
  • Competitors tracked rise with the plan: 3, 5, 8 per client and 12 per project.
  • Scale pools 120 prompt slots across five client projects, allows prompts to be moved between clients, and adds your logo, colours and footer to client reports.
  • Enterprise lists every other model as an add on, naming Microsoft Copilot, Claude and Google AI Mode, plus the option to run on your own server. Invoiced by NEFT, RTGS or UPI with a GST invoice against your GSTIN.
  • A CSV download, the sites AI cites, and an MCP server for Claude Code, Cursor and VS Code.

What Peec's pricing document published the same day

  • Three buyable tiers at 50, 150 and 350 prompts, each with "Choose 3 models", unlimited users, daily tracking frequency, and 1, 2 and 5 projects. The third adds multi country and a Looker Studio integration.
  • Enterprise publishes fully customisable prompt tracking, a choice from all models, daily or weekly frequency, unlimited projects, custom prompt setup, API access, single sign on and up to 13 LLM models tracked.
  • A coverage panel publishing monthly AI answers as "calculated by multiplying tracked prompts by active models and tracking frequency", alongside countries, projects and languages.
  • "Trusted by 3500+ brands and agencies", with a separate route for agencies tracking prompts across several brands.

Neither company's figures are reproduced here. We record the limits that set a tier and send you to the vendor's own page for the money, because a price restated elsewhere becomes a false statement about another business the day a plan changes. Our own rupee prices are on our own pricing page.

Three differences that matter to an Indian buyer

The invoice. Depra publishes rupees with the GST line and offers a GST invoice against your GSTIN, with NEFT, RTGS and UPI at the enterprise tier. For a company that has to reclaim input tax, that is not a detail. Peec publishes its ladder in its own currency, so ask what arrives on the invoice and in which currency before you compare anything.

The language. Depra publishes English and Hinglish answers side by side and sells that as a named feature, with its own research on the difference between what AI recommends in each. An Indian buyer who code switches in a real question is a real measurement problem, and it is the kind of problem a global tool is unlikely to have built a column for.

The billing definition. Depra bills successful checks, which means a failed attempt does not consume the allowance. That is the tightest unit definition we have read in this category. Peec bills prompts and publishes the multiplication to answers. Ask Peec what happens to a failed run, and ask Depra what counts as a success.

If this is the first measurement your company has taken in India, take a baseline before you buy anything. A 30 day AI visibility plan for an Indian small business sets out what two readings a month apart can and cannot tell you, which is the yardstick any tool you buy then has to beat.

Who each one suits

  • An Indian brand selling to Indian buyers. Depra publishes rupees, GST, Hinglish and the four engines on every plan including its entry tier.
  • A European or American team. Peec publishes a ladder most finance teams in those markets can process without a conversation, with unlimited users on every tier.
  • Buyers using Claude or Copilot. Peec lets you choose three models on a published tier and states up to thirteen at enterprise. At Depra those two are enterprise add ons. Settle it in the quote.
  • An Indian agency with several clients. Depra's Scale plan pools 120 prompt slots across five client projects, lets you move prompts between clients, and white labels the reports. That is a specific shape of product and it is published rather than quoted.
  • A team that wants Perplexity daily. Depra publishes Perplexity daily on Enterprise and weekly on the other plans, which is the clearest cadence disclosure in this comparison. Ask Peec which of your three chosen models run daily.

Questions buyers ask when choosing between Depra AI and Peec AI

Why do assistants name Depra mostly in India?

Its own pages are written for that market, in rupees, with Hinglish research and Indian examples, and an assistant answering an Indian question reaches for sources that address it. 22 of the 23 readings that named Depra were Indian. That pattern is a fact about where a company publishes, which is the same mechanism our own work is built on.

What is a successful check?

Depra bills in successful checks rather than attempts, which is published on its pricing page. Get the definition in writing: what counts as a success, and what happens when an engine returns nothing. It is the tightest unit in this comparison and worth confirming rather than assuming.

Which one covers more AI engines?

Peec states up to 13 LLM models tracked at enterprise and a choice of three per buyable tier. Depra publishes four engines on every plan, with Copilot, Claude and Google AI Mode as enterprise add ons. If your market only uses the big four, Depra puts all four on its entry plan, which Peec's three model choice does not.

Can I get a GST invoice from both?

Depra publishes a GST invoice against your GSTIN and rupee billing on its pricing page. For Peec, ask before you buy, because the answer changes what the purchase costs an Indian company after tax.

Why does this page print no prices?

We record prices and send you to the vendor's own page to read them. Depra's page even carries its own update date, which is the right way to publish a figure, and a copy on our page would start going stale the moment we saved it.

The market column most comparisons leave out

Every tool in this category will sell you saved AI answers on named engines at a stated refresh rate. What almost none of them publish is which market their own name already carries weight in. We counted that for both of these, found a 22 to 1 Indian skew on one of them and zero mentions of ourselves across all 1,260 readings, and published both numbers because the second one is the reason the first one is worth knowing.

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