Peec AI Review and Pricing 2026: Clean Reporting, Nothing More

What is Peec AI and what does it actually do?

Peec AI (peec.ai) describes itself as AI search analytics for marketing teams. The job it does is narrow and well defined: you give it a set of prompts your buyers plausibly type into an AI assistant, and it runs them on a schedule against the models you choose, then reports how often your brand appears, in what light, alongside which competitors, and which URLs the assistants pulled from to build the answer.

The unit of the product is the prompt

Everything about Peec's shape follows from one design decision: prompts are the meter. Starter buys 50, Pro 150, Advanced 350, and Enterprise is a custom prompt plan. Regions and languages are explicitly not metered — Peec's own FAQ says pricing stays tied to prompt usage rather than the number of regions or languages, which is unusually clean in a category where multi-country monitoring often carries a surcharge. So the buying question is not how many countries you sell in; it is how many distinct buyer questions you need watched every day.

What the reporting actually shows

Three layers, in increasing usefulness. First, visibility: how often you are mentioned across the tracked prompts, trended daily. Second, context: which competitors show up in the same answers and how you are characterised next to them. Third, and the layer worth the money, sources: which pages the assistants cited when they built the answer. That third layer is the only one that tells you what to do next, because it names the specific URLs — yours or somebody else's — that the model treated as authoritative.

Who is behind it

Peec publishes little company detail itself. Third-party reporting — TechCrunch in May 2026, plus TechFundingNews and The SaaS News — places the company in Berlin, founded by Marius Meiners, Daniel Drabo and Tobias Siwonia, with a $21M Series A led by Singular in November 2025 taking total funding to roughly $29M, and around $10M ARR by May 2026. Those figures belong to the outlets that reported them, not to Peec. Peec's own claims, stated as theirs: trusted by 3000+ brands and agencies, and 4.9/5 on G2.

Why a competitor is reviewing it, and how that is kept fair

We build Ryze AI, which includes AI-visibility citation tracking inside a broader platform that also deploys on-page changes. That puts us adjacent to Peec, not neutral about it. So the rules here are strict: every number comes from Peec's own pricing page, read in a browser because Peec renders its prices client-side and a plain fetch returns empty skeletons; no user complaints, star ratings or review counts are invented or quoted as facts; and the section below on who should buy Peec instead of anything we sell is written to be usable, not decorative.

Peec reports. It does not fix anything.

This is the structural fact that decides most Peec purchases, and to Peec's credit it is not hidden anywhere in the marketing. Peec is analytics: prompt and citation reporting, competitor comparison, and recommendations. It does not generate content, it does not publish, and it does not change a single line on your site. Of the credible tools in this category it is the cleanest example of the report-only design.

Why that is a defensible choice, not a flaw

Measurement tools that also act have a conflict at their core: the thing grading your visibility is also the thing changing your pages. Analytics vendors have historically stayed on one side of that line for good reason, and a marketing team that already has writers, an SEO lead and a developer does not need its dashboard to hold write access to the CMS. For that buyer, Peec's refusal to touch the site is a feature — it is a tool you can connect without a security conversation, and one whose numbers nobody can accuse of marking their own homework.

Who report-only genuinely fits

Three profiles, concretely. An in-house SEO or content team of two or more, where somebody already owns the publishing calendar and can absorb a weekly list of pages to rewrite. An agency reporting AI visibility to clients, where the deliverable is the insight and the execution is separately billed. And a brand-marketing or comms function that needs to know how assistants characterise the brand — sentiment and competitive framing — without any intention of touching the site at all. In all three, the report is the product because the acting capacity already exists.

Who it quietly fails

The founder or solo marketer who buys a visibility tracker hoping it will solve visibility. Peec will show, accurately and daily, that ChatGPT recommends three competitors and not you, and which of their pages it cites. Then it stops, and the work starts. If nobody has the eight to ten hours a month that acting on that actually takes, the subscription becomes a very well-designed source of anxiety. Our guide on how to interpret AI visibility data and act on it is the free version of the work that has to happen after any tracker reports.

What each tier actually includes

Peec gates on four axes: prompts, models, projects and countries. Support level moves too, and Advanced adds a Looker Studio integration. Read the grid before you read the prices, because the tier that fits is usually decided by projects and countries rather than by prompt count.

The pick-three model menu is the real constraint

Every self-serve tier lets you track three models, chosen from ChatGPT, AI Mode, AI Overviews, Microsoft Copilot, Perplexity and Gemini. Three is enough for most brands — ChatGPT plus AI Overviews plus one of Perplexity or Gemini covers the bulk of assistant traffic for a typical category. But note what is not on the self-serve menu at all: Claude Sonnet 4, GPT-5 Search, Deepseek, Qwen and Mistral are Enterprise-only, delivered via API, with Enterprise described as up to 11 LLM models tracked. If Claude coverage is a requirement, Peec's answer at self-serve prices is that you cannot have it.

Unlimited users is worth more than it looks

Every tier, including the $95 one, carries unlimited seats. In a category where competitors charge $25 to $80 per additional user per month, that is a genuine cost advantage for any team that wants the CMO, the content lead and three writers all looking at the same dashboard. It also removes the classic reporting failure where the data lives with one person and reaches everyone else as a monthly screenshot.

Daily tracking on every tier

Peec runs daily on all self-serve plans; only Enterprise offers a daily-or-weekly choice. Daily matters more in AI search than in classic rank tracking, because assistant answers are less stable week to week — the same prompt can return a different set of brands after a model update. A weekly sample would miss the churn that tells you whether a change you made moved anything. Our note on what changes versus traditional rank tracking covers why that volatility is normal rather than a data problem.

Peec AI pricing in 2026, verified

Peec publishes its pricing in USD with a monthly and annual toggle; annual saves 15%. One practical note if you are researching this yourself: the prices render client-side, so a plain fetch or a scraping tool returns empty skeletons. The figures below were read in a browser in August 2026 — check the live page before you buy, because tiers move.

The add-on that changes the real price

Three models is the self-serve ceiling unless you pay for more, and the extra-model add-on is priced per tier at annual rates: $30/month on Starter, $70 on Pro, $140 on Advanced. That is the line most buyers miss when they compare Peec's $95 against a rival's headline number. A Starter customer who decides they also need Perplexity and Gemini alongside ChatGPT, AI Overviews and Copilot is at $80 plus two add-ons — $140/month annual, not $80. The honest way to compare tools in this category is to price the engine set you actually need, then compare totals.

Where Peec sits in the category

Middle of the market, and priced coherently for what it is. The comparison that matters is not the headline entry price but what the entry tier lets you watch.

The concession this table demands, stated plainly because it is true: a pure-play tracker like Peec goes deeper on the measurement job than a tracker bundled into a broader platform does. Peec Advanced watches 350 prompts, and Enterprise reaches up to 11 models. If deep multi-engine prompt monitoring is the actual job — an agency reporting across a client book, a brand in a category with hundreds of distinct buyer questions — buy the pure-play. Ryze's own GEO product, its pricing and the machine-readable fact sheet are all published so that comparison can be checked rather than trusted.

The trial, honestly

Peec's pricing page carries a start-free-trial call to action, so a trial exists. Its length and terms are not published on that page — no duration, no card policy, no prompt cap stated. That is worth an email before you plan an evaluation window, because two competitors in this category publish theirs (Scrunch offers 7 days with no card; Semrush offers 7 days) and one, Athena, replaces the trial with a permanently free tier.

Who is Peec AI for — and who should skip it?

Fit follows entirely from the report-only design. Peec multiplies a team that already publishes; it frustrates a buyer who wanted the publishing handled. Four profiles cover almost everyone who lands on this page.

If you are unsure which bucket you are in, the cheapest diagnostic is free: run our AI search visibility checker and the 50-prompt mapping exercise manually for one week. If the results make you want to write three pages immediately, you have the capacity Peec assumes. If they make you want somebody else to write them, you are shopping in a different aisle.

The honest limitations

None of these are hidden by Peec, and none of them are disqualifying. They are the things a buyer should price in explicitly before the card goes in.

• It changes nothing. No content generation, no publishing, no on-site edits. The gap between knowing and fixing stays entirely yours, and it is the expensive half.
• Three models unless you pay more. The self-serve menu is pick-three; each additional model costs $30, $70 or $140 a month by tier. Claude, GPT-5 Search, Deepseek, Qwen and Mistral are Enterprise-only.
• API and SSO are Enterprise-only. If you want to pull visibility data into your own warehouse or enforce single sign-on, self-serve tiers cannot do it — that is a quote conversation, not an upgrade click.
• Prompt counts bind faster than they look. Fifty prompts sounds generous until you split it across product lines, buyer stages and competitor-comparison queries. Most serious categories need Pro's 150 as a floor.
• Trial terms are not published. A free-trial CTA exists but no duration, card policy or limits are stated on the pricing page, which makes evaluation planning harder than it needs to be.

Against those: transparent published pricing in a category full of quote-only vendors, unlimited seats at every tier, daily tracking at every tier, no surcharge for countries or languages, and a source-attribution layer that names the URLs assistants actually cited. That last one is the part worth paying for, and plenty of pricier tools do it worse.

How this review was put together

A vendor reviewing an adjacent vendor owes you the method. Here it is, deliberately checkable.

What this review is not: a long-run usage log. We have not run a year of a client book through Peec, so we make no claims about data accuracy versus other trackers in practice. The right test is your own: pick ten prompts you already know the answer to, run them in the assistants by hand, and check the tool's report against what you saw. Do that on any tracker in this category, ours included.