Ask ChatGPT or Perplexity to recommend a tool in your category and you no longer get a page of links. You get a short list of named brands, a line on each, and a few cited sources. Whether your brand makes that list, and how it is described when it does, is now a commercial question that rank reports cannot answer. Peec AI is one of the European tools built to answer it: a monitoring platform that tracks how brands appear inside AI answers and benchmarks them against competitors. This piece is a factual brief on what Peec AI is, what it costs, where it is strong, where it is limited, and the alternatives worth weighing before you commit.
What is Peec AI?
Peec AI is an AI search analytics platform aimed at marketing teams and SEO agencies. It sits in the AI visibility category: rather than tracking where a page ranks in Google, it monitors how generative engines mention, cite, and describe a brand inside the answers they give to buyer questions. If you want the wider context for that category, our guide to AI visibility tools covers what the tools measure and why they differ from rank trackers.
The company is based in Berlin and was founded by Marius Meiners, Tobias Siwonia, and Daniel Drabo, who met in Antler's Berlin winter 2024 cohort. The product launched in February 2025. According to TechCrunch, it reached more than 4 million dollars in annual recurring revenue and onboarded over 1,300 brands and agencies within roughly ten months of launch, naming customers such as Axel Springer, Chanel, n8n, ElevenLabs and TUI. By late May 2026 the company said it had passed 10 million dollars in ARR and more than 2,500 customers, with headcount up from 25 to more than 70 in six months. Those are company-reported figures, so read them as the vendor's own account rather than audited numbers.
In November 2025 Peec AI raised a 21 million dollar Series A led by the European venture firm Singular, with Antler, Combination VC, identity.vc and S20 also taking part. The round followed a seed financing led by 20VC in mid-2025 and, per Sifted, brought total funding to around 29 million dollars. The CEO declined to disclose a precise valuation but said it had tripled to above 100 million dollars. The funding context matters for a buyer mainly as a signal of staying power: a venture-backed tool with revenue and a growing team behind it is less likely to disappear mid-contract than a side project.
What Peec AI tracks
Peec AI works the way most credible tools in this category do. You define the prompts that matter in your market, the platform runs them on a daily schedule across a set of AI engines, and it parses the answers for how your brand and your competitors show up. The output is organised around a few signals.
- Visibility and position: how often your brand appears across your tracked prompts, and where it sits within answers, with month-on-month trends.
- Brand mentions versus source citations: it separates when an answer names your brand from when an engine draws on your content without naming you, which are two different problems to fix.
- Sentiment: whether the model frames your brand positively, neutrally, or negatively when it does mention you.
- Sources: which domains the engines lean on to build their answers, so you can see whether review sites, editorial pages, or community threads are shaping the result.
- Competitor benchmarking: share of voice against the rivals you name, rather than your numbers in isolation.
On engine coverage, Peec AI markets tracking across ChatGPT, Perplexity, Gemini, Google AI Mode, Google AI Overviews and Microsoft Copilot. The important caveat is that plans include a fixed number of AI models, three on the standard tiers, with further models such as Gemini, Claude, Grok or DeepSeek sold as paid add-ons. So the headline engine list is the menu, not what every plan tracks at once. The platform also advertises support for tracking across many languages and countries, which is part of its pitch to brands operating across European and other multilingual markets.
One operational detail is worth flagging. Peec AI was built in Germany with GDPR compliance in mind, which is a genuine consideration for European buyers or any team with strict data-handling requirements. It is not a feature that changes what the answers say, but it can shorten a procurement review.
Peec AI pricing
Peec AI pricing is tiered by the number of tracked prompts, with extra AI models charged as add-ons. The vendor's pricing page now routes buyers to a sign-up or sales conversation rather than listing every figure, so the numbers below are drawn from the vendor's published plan details and independent reviews in mid-2026, in euros. Prices in this category change often, so confirm the current figures before you commit.
| Plan | Price (per month) | Tracked prompts | Notes |
|---|---|---|---|
| Starter | from 89 EUR | up to 25 | Three AI models included: ChatGPT, Perplexity and Google AI Overviews. |
| Pro | from 199 EUR | up to 100 | Deeper tracking, multi-country, Slack support. |
| Advanced | higher tier | larger allowance | For teams managing multiple projects with deeper reporting. |
| Enterprise | custom | custom | Larger allowances, custom models, dedicated support. |
A few things shape the real cost. Each plan includes a set number of AI models, and tracking additional engines such as Gemini or Claude is a per-model add-on, so a brand that wants broad coverage pays more than the headline tier. Seats are unlimited across plans, which is unusual and helpful for teams. Annual billing carries a discount of up to roughly 15 percent. Peec AI also runs a separate set of agency plans priced for client work and pitch projects, aimed at agencies tracking many brands at once.
The practical reading is the same advice we give across the category: price by the prompt count you actually need, then check what full engine coverage costs once the add-ons are included. A low entry price that only buys a small prompt allowance and a partial engine list can end up costing more than a higher tier elsewhere.
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Strengths and limits
Independent reviews are broadly consistent about where Peec AI does well. The interface is clean and quick to learn, the daily data is useful for spotting trends, and the European, GDPR-first posture is a real differentiator for buyers who care about it. The separation of brand mentions from source citations is a thoughtful touch, because the two call for different responses: one is a recognition problem, the other a content-trust problem. For mid-market teams and agencies that want straightforward, multi-engine monitoring without enterprise complexity, it is a credible option.
The limits are mostly structural rather than flaws. The model add-on pricing means broad engine coverage is not included by default, so compare the engines each plan tracks rather than the engines the marketing page lists. Prompt allowances at the lower tiers are modest, which suits a single brand in one category more than a multi-market portfolio. Reviewers also note that it leans towards reporting what is happening rather than telling you what to do next. Like every tool here, Peec AI measures and reports: it tells you the score, it does not change it. Improving how engines describe you is editorial and technical work, covered in our guide to GEO services and tools. A tool and that execution work are complementary, not substitutes.
It is also worth setting realistic expectations about the data itself. AI answers are non-deterministic, so the same prompt can produce different shortlists on different runs. That is exactly why daily, repeated scans matter, and Peec AI does run them. But it means any single day's reading is a sample, and the value is in the trend over weeks, not a one-off snapshot.
Peec AI alternatives
Peec AI sits in a crowded and fast-moving market, so the right choice depends on your size, budget, and how many engines and markets you need to watch. The main groups of Peec AI alternatives break down as follows. We compare the category in more depth in our AI visibility tracker comparison.
Enterprise-focused platforms. Profound is the most prominent, aimed at larger organisations and well funded, having raised 96 million dollars in February 2026. Its self-serve pricing opens low, but meaningful multi-engine tracking effectively starts in the hundreds of dollars a month and enterprise contracts run higher. Evertune sells model-level brand perception data into large accounts, while AthenaHQ and Scrunch also target this end, the latter known for brand-narrative and sentiment analysis. These suit multi-brand or multi-market portfolios more than a single brand watching one category.
Specialist, self-serve tools. Otterly is the representative accessible option, starting around 29 dollars a month for a small prompt allowance and scaling by volume. ZipTie and similar tools occupy the same space. They are a sensible starting point for a focused brand that wants prompt-level, multi-engine monitoring without an enterprise commitment.
SEO-suite add-ons. Most established suites now bolt on AI visibility. SE Ranking offers a standalone tracker and an add-on; Semrush, Ahrefs and others sell AI tracking modules priced per domain or as paid extras. These make sense if you already pay for the suite, but engine breadth in these modules often lags the dedicated platforms, and several still list headline engines as coming soon at the tier you would buy. Read the fine print before assuming the suite covers your engines.
Monthly searches (US)
Rising demand for AI search optimisation terms
The chart above shows why this market is filling up: US search demand for the language teams use to describe AI search optimisation has trended upward, the clearest sign that AI visibility has hardened from a niche concern into a budgeted discipline.
How Peec AI compares with Honeyb
Honeyb is in the same monitoring category as Peec AI, and the two share the fundamentals that separate a real platform from a spot-check utility: scheduled scans rather than one-off checks, share of voice against named competitors, sentiment, and citation source analysis. Both run prompts on a recurring schedule and aggregate the results into a rate you can trust rather than a single answer.
The differences come down to engine coverage and how that coverage is packaged. Honeyb tracks ChatGPT, Perplexity, Google AI Overviews and AI Mode, Gemini, Claude and Copilot, including Claude, which several competing tools track only as a paid add-on or not at all. Because buyers split their questions across all of these surfaces, the engine list you get at the tier you actually pay for is the detail that decides whether you are seeing most of the market or only part of it. For a full side-by-side on engines, cadence, pricing and what each measures, see Honeyb vs Peec AI.
The honest framing is that this is a healthy category with several capable tools, and the best one for you depends on your engines, your markets, and your budget. Peec AI is a strong, European, well-funded option, especially for teams that value its GDPR-first posture and clean interface. Whichever tool you pick, judge it on the same criteria: does it scan on a schedule, does it report share of voice against your real competitors, does it cover the engines your buyers use, and does it show you the sources shaping the answer. Get those right and the brand of the dashboard matters less than the discipline of measuring.
