Peec AI Review 2026: Engines, Funding and the Missing Price

Peec AI is a Berlin-based AI search analytics platform that tracks how a brand appears across ChatGPT, Google AI Mode, AI Overviews, Copilot, Perplexity and Gemini. It is among the best-funded European player in this category, and the most interesting thing about it as a buyer is what its pricing page does not say.

Two facts frame the decision:

• It has raised $29.1 million in under a year, across a pre-seed, a seed led by 20VC, and an €18 million Series A led by Singular in November 2025.
• It publishes no prices. Four named plans, and a “Talk to Sales” button where the numbers should be.

Disclosure: EchoWi competes with Peec AI. Its engine list and plan structure were read from its own site on 5 August 2026 and re-read on 7 August 2026, which is the reading the corrections below come from.

The short version

1. Eleven engines on the tracked list, and three on any plan you can buy. Starter, Pro and Advanced all say “Choose 3 models” from a shelf of six. The other five, including Qwen, are Enterprise-only and marked API.
2. No public pricing, which is a positioning decision rather than an oversight at this funding level.
3. Founded in 2025, in Berlin, by Marius Meiners, Tobias Siwona and Daniel Drabo.
4. The best-funded European option, which matters if data residency or a European counterparty is part of your decision.
5. You cannot compare it on price, so compare it on prompts, countries per project and refresh frequency instead.

What it tracks, verified

The per-tier country limit is the specification to read closely. Answers differ by country even for an identical prompt in an identical language, so a plan that covers one country measures one market, whatever else it claims.

Copilot coverage is a genuine differentiator at this level. It is the engine most often missing from the cheaper end of the market.

The missing price, and why it is worth a section

Most reviews would note “contact sales” and move on. It is more informative than that.

A company that has raised $29.1 million and hides its price is telling you who it sells to. Public pricing serves self-service buyers. Sales-assisted pricing serves annual contracts, procurement and negotiated scope. Neither is better, but they predict very different buying experiences: one takes an afternoon, the other takes a quarter.

The contrast with the rest of this market is sharp and recent. Scrunch published its pricing at $300 a month right after being acquired by Sitecore, when it no longer needed the qualifying call. Peec is moving in the opposite direction with fresh capital behind it.

What this costs you as a buyer: you cannot put Peec in a comparison table. Our own tool comparison lists seven products with prices read from each vendor’s page. Peec cannot be in it on the same terms, and that is a fact about the vendor, not about the comparison.

What to ask instead, since you cannot ask the page

If the number is behind a call, the call is where your evaluation happens. Most demos in this category are a tour of a dashboard, which tells you almost nothing, because every dashboard in this market looks similar and they do not disagree about how to draw a bar chart. They disagree about how the bar was produced.

Six questions, in the order that separates the vendors fastest:

1. How many runs sit behind a single reported number? This is the whole ballgame. Answers vary between identical runs, so a mention rate from one run and a mention rate from a hundred look the same on screen and mean different things. Only Evertune publishes its sampling, at up to 100 runs per prompt per model. If the answer is “we run it daily”, that is a frequency, not a sample size.
2. Are the prompts synthetic or drawn from real behaviour? A prompt set someone invented in a workshop measures what that person imagined buyers ask.
3. How are country and language set, and can I see the raw response? If the tool cannot show you the answer text it scored, you are trusting a number with no way back to its evidence.
4. What happens when an engine changes? Model updates move these numbers on their own. Ask how a platform shift is distinguished from your own work.
5. What is the contract length and the exit? Hidden pricing usually travels with an annual commitment.
6. Which of these engines do you query directly, and which do you infer? Not every “covered” engine is polled the same way.

None of these questions is adversarial, and a good vendor will enjoy them. The ones that struggle tend to struggle in an informative direction.

The country limit is the specification nobody reads

The table above says countries vary by tier. That reads like a packaging detail. It is the single line most likely to make the whole subscription measure the wrong thing.

We asked Google’s AI Overview the same question in three markets, twelve runs across the United States, Spain and France, with country and language set explicitly each time. Not one tool was cited consistently in more than one market. The stable sets did not overlap at all: the United States returned two tools that never appeared in Europe, Spain returned two that no English-language comparison lists, and France returned neither pair.

Apply that to a plan that covers one country. If you sell into four markets and your subscription measures one, you are not getting a partial picture of your visibility. You are getting a complete picture of one market and no information at all about the other three, presented in the same dashboard, with nothing on screen to mark the difference.

So the question at the demo is not “how many countries do you support”. It is how many your quoted tier includes, what a fifth one costs, and whether the reported score is per market or averaged across them. An average across four markets can hide being invisible in three of them.

The European angle, which is more than a flag

Being Berlin-based is usually a line in a press release. Here it does some work, and it is worth separating the part that matters from the part that does not.

What genuinely matters: where your data is processed, who your counterparty is when something goes wrong, and which regulator hears the complaint. If your legal team has a view on transferring prompt data and brand mentions outside the EU, a European supplier removes a conversation rather than winning an argument. For regulated sectors that is a procurement gate, not a preference.

What does not matter as much as vendors imply: the engines themselves are almost entirely American, and a European tool queries the same ChatGPT as an American one. Being European does not make the measurement more European. It changes the contract, not the data.

Peec is the best-capitalised European option in this category by a wide margin. We are also European, which is exactly why we are drawing the line carefully: it is a real advantage for some buyers and no advantage at all for others, and telling those two groups apart is worth more than the flag.

What $29.1 million in under a year tells you

Peec raised a pre-seed, a seed and an €18 million Series A inside twelve months of founding. That is fast even by the standards of a hot category.

Put it alongside what else has closed in the same window: Profound at more than $155 million and a $1 billion valuation, Bluefish at $68 million, Brandlight at $35.75 million. Capital is not scarce in AI visibility right now.

What that means for you is mostly about survival, and it cuts both ways. Funding at this level makes a vendor unlikely to disappear next year, which matters: Lorelight shut down in October 2025 and was still being recommended by comparison articles months later. It also means the product will keep changing under you, and that the roadmap answers to investors who expect enterprise contracts. A tool that suits a small team today can grow past it.

Where Peec AI is the right call

• You want a European counterparty. Berlin-based, European-funded, and the only well-capitalised European option in this category.
• You need Copilot coverage. It is on every tier here and missing from several cheaper tools.
• You track several countries. The per-project country structure is built for that, and country is a real variable, not a setting.
• You were going to buy through procurement anyway. If a sales call was happening regardless, hidden pricing costs you nothing.

Where it is the wrong call

• You want to compare before you talk to anyone. Promptmonitor is $29 a month for six engines, published, no call required.
• You are one person deciding this afternoon. The buying motion does not fit.
• Your market is China. Doubao is not on the list at any tier, and Qwen only appears on Enterprise, which carries no published price. Of the tools in this comparison, only ours covers both on a plan you can buy.
• You need attribution rather than monitoring. Measuring whether a specific change moved anything, against a control, is a different product from tracking a number.

What we could not verify

• The actual prices. Not published. Any figure you read elsewhere is second-hand.
• How many runs sit behind a reported number. This is the question that separates a defensible metric from a noisy one, and no vendor in this category documents it publicly. Ask it in the demo.
• Accuracy against other tools. No controlled side-by-side test of these platforms exists from anyone, us included. A review claiming one is “more accurate” is asserting, not measuring.

Peec AI versus the alternatives

Prices verified between 6 and 8 August 2026 from each vendor’s own page. The full comparison covers every tool we could verify, including one that shut down in October 2025.

Common Questions About Peec AI

How much does Peec AI cost?

Peec AI does not publish prices. Its pricing page lists four plans, Starter, Pro, Advanced and Enterprise, with a “Talk to Sales” route to the numbers. Any specific figure quoted elsewhere is not from the vendor’s own page.

What AI engines does Peec AI track?

Eleven appear on the pricing page, but not on the same plan. Starter, Pro and Advanced each let you choose three from ChatGPT, Google AI Mode, Google AI Overviews, Microsoft Copilot, Perplexity and Gemini. Enterprise adds Claude Sonnet 4, GPT 5 Search, Deepseek, Qwen and Mistral, each marked API. An earlier version of this answer said the tool does not cover Qwen, which was wrong: it does, on the tier with no published price.

Who founded Peec AI and where is it based?

It was founded in 2025 in Berlin by Marius Meiners, Tobias Siwona and Daniel Drabo, and has since opened a New York presence.

How much funding has Peec AI raised?

$29.1 million across three rounds: a €1.8 million pre-seed, a €7 million seed led by 20VC, and an €18 million Series A led by Singular in November 2025.

Is Peec AI worth it without a public price?

That depends entirely on your buying motion. If you were going to run a procurement process anyway, hidden pricing costs you nothing and the product is well funded and European. If you wanted to compare options in an afternoon, it removes itself from that comparison.

What is the best Peec AI alternative?

For published pricing and cheap monitoring, Promptmonitor at $29 a month. For enterprise procurement, Scrunch inside Sitecore at $300 a month. For measuring whether a change worked, against a control and across 12 engines including Chinese ones, that is what we build EchoWi for. The full list, with every entry price read from the vendor’s own page and sorted by what one engine costs, is in our Peec AI alternatives comparison, where we sit twelfth of eighteen.

Where this leaves you

Peec AI is a serious, well-funded European product with solid engine coverage, and it has decided you should talk to a salesperson before you learn what it costs.

That decision is the most useful signal in this review. It tells you the buying motion, the likely contract length, and the customer they are building for, and all three matter more than a feature list.

Next: the Scrunch review, and what the Sitecore acquisition changed, and the full tool comparison with verified prices.