Peec AI Review (2026): Pricing, the Three-Model Cap, and Who It Fits

01What Peec AI is, and who built it

Peec AI is an AI search analytics platform. It tracks a set of prompts daily across the AI engines you choose, records whether your brand and competitors appear, where in the answer, with what sentiment, and which sources the engine retrieved and cited, and reports it as visibility, position and share of voice. Around that core it has grown source classification, a crawlability audit across more than forty AI bots, AI referral reporting, bot-traffic analytics from your logs, an Ads library for sponsored placements in AI answers, SKU-level shopping visibility, ranked recommended actions, and an agent with pre-built skills. The pricing page lists all of it; not all of it is on every tier.

The company is Berlin-based, led by CEO Marius Meiners. It raised a seed round led by 20VC in July 2025 and a $21 million Series A led by Singular in November 2025, at which point it reported more than 1,300 brands and agencies and about $4 million in annual recurring revenue; TechCrunch reported in May 2026, citing sources, that revenue had more than doubled toward $10 million. The pricing page now says 3,000 or more brands and agencies. We are relaying the funding and revenue figures from TechCrunch and EU-Startups coverage and did not see the primary filings, so treat the valuation talk as reported.

Two things to know before any review of Peec makes sense. First, most reviews of it are written by a competitor with a cheaper or a bigger tool. Second, the pricing page renders its numbers in a way that content extractors drop, which is why you will find reviews online, including an earlier version of a page on this site, stating that Peec publishes no price. It does. We corrected our pages the same day we found the error, and the figures below are what the page shows when you read it as a human does.

02Peec AI pricing in September 2026, read on the day

We fetched peec.ai/pricing on 4 September 2026 as plain text. The page defaults to annual billing and shows the annual saving beside each tier; its own FAQ states a 15% discount for annual billing. Monthly-billed figures are derived from those two facts and marked as derived.

The page also prints the arithmetic it wants you to notice: monthly AI answers, calculated as prompts times active models times daily frequency, come to 4,500 on Starter, 13,500 on Pro and 31,500 on Advanced. That is the honest unit for a tracker, and few vendors show it. Bot-visit allowances for the crawl analytics are 4 million, 10 million and 25 million a month by tier.

03The three-model cap, priced out

Every self-serve tier includes three models, chosen from ChatGPT, Google AI Mode, Google AI Overviews, Microsoft Copilot, Perplexity and Gemini. Claude is Enterprise only. Additional models are add-ons, and the page prices them per tier on annual billing: $30 a month on Starter, $70 on Pro, $140 on Advanced.

The cap is a smart business model and the single most repeated complaint about the product. A G2 reviewer called it “the subscription wall between seeing all AI models” and said it “feels limiting from time to time”. FixAEO, a competitor, called it “a three-model cap on every plan below Enterprise that quietly pushes real costs higher”. Both are right. Our own runs show ChatGPT, Perplexity, Gemini and Claude recommending different brands on the same prompts more often than not, so three engines is a sample of the market, and the fourth engine is the one you end up paying for. Price the engines your buyers use before you compare Peec’s headline tier with anyone else’s.

04What Peec AI does well

The interface, by every account. Nine of nine likes on the first page of G2 reviews mention the UI, the clarity, or how fast the team understood the numbers. “There’s a lot of players in the space where it’s hard to actually understand the data they’re collecting based on how they are visualizing it, but Peec AI makes it really easy,” one wrote. Three competing reviews say the same, and one of them is selling against it. When the customer and the rival agree, believe it.

Source analytics that go to the URL. Peec records the domains and URLs the engines retrieved, classifies each source as competitor, editorial, reference or UGC, and lets you pull the scraped content of a cited page to see what the engine read. That last one matters more than it sounds: it is the difference between knowing a listicle beat you and knowing which sentence in it did.

Unlimited users on every tier, daily tracking on every tier. Most rivals meter seats or slow the refresh on cheaper plans. Peec meters prompts and models and nothing else, which makes it unusually easy to put in front of a whole marketing team.

The MCP server. Covered in its own section below, because it is the thing most of this category does not have.

Crawlability and bot analytics. The crawlability audit checks which of more than forty AI bots your robots.txt allows, and Agent Analytics ingests logs from Vercel, Cloudflare, AWS, Akamai and others to show which bots hit which pages. Profound sells the equivalent on Enterprise. Peec includes it with a bot-visit allowance on every tier.

05Where Peec AI falls short

It stops at the recommendation. Peec’s gap analysis names the sources that appear often and mention competitors but not you, and its Actions rank opportunities into owned and earned. A G2 reviewer put the limit precisely: “while it’s a good step into making the ‘so what’ from the data clear, I don’t trust it yet on the recommendations” because the tool does not know the business well enough to say what to write. Searchmaxxed’s review title is “Clean tracking, no execution”. Peec does not draft the change against the evidence, and it does not re-run the prompt afterwards to show whether the recommendation moved.

Prompt volume is a one-to-five score, not a number. The pricing page describes Prompt volume as “relative demand for the topic behind each tracked prompt, scored 1 to 5”. That is honest, and it is also why a G2 reviewer wrote “I have to still rely on Semrush for prompt volume research”. Profound sells an estimate; Peec sells a rank. Neither is a count, because no engine publishes one.

Onboarding suggests prompts that overlap. One reviewer reported that the guided setup proposed fifty prompts of which about 40% overlapped, so the same thing was tracked several times until they cleaned it up. On a 50-prompt Starter allowance, that is a real cost.

Attribution is hard, and Peec does not pretend otherwise. “It can be difficult to attribute actions we’ve taken over time to improve our AI search results,” one reviewer wrote. The visibility lift analysis and predictor on the pricing page are the vendor’s attempt at it. Treat any lift number in this category as an observed change, not a caused one.

Claude costs Enterprise money. If your buyers use Claude, none of the self-serve tiers measure it, and the model add-on list does not include it either.

06What 20 G2 reviewers actually say

On 4 September 2026 Peec AI held 4.8 out of 5 on G2 across 20 reviews: 16 five-star, 4 four-star, nothing below. Peec’s own footer says “rated 4.9/5 on G2”, and a review in August 2026 saw 4.9 from 12 reviews, so the score has slipped a tenth as the sample grew. Twenty reviews is a small base against Profound’s 1,128 and Semrush’s 4,035, which G2 lists as the top rated alternatives on the same page. Read the distribution as “early customers are happy”, not as a verdict.

We read the first page rather than all twenty, so the counts are a sample. The nine likes cluster around the interface, the trend lines, source retrieval, flexible project setup, responsive support, and the MCP integration. The ten dislikes are the specific ones quoted above plus two reviewers who said “not much” and one who wished Claude Code were tracked as a source. Only one names price, and even that one adds “every vendor in the space is expensive”. Nobody says the data is wrong. For a visibility vendor, that is the sentence that matters.

07What practitioners say on Reddit

Peec comes up on Reddit mostly in tool roundups posted by other vendors, so we filtered for threads with discussion. Three patterns.

The favourite dedicated monitor. A marketer in r/DigitalMarketing who tested more than ten AEO tools called Peec “probably my favorite dedicated monitoring tool”, praised being able to dig into actual prompts rather than a single visibility number, and named the two costs: “costs can increase as you scale the number of prompts you track” and the trap of spending more time in the dashboard than acting on it.

Enterprise by comparison, mid-market in price. A comparison in r/Superframeworks framed Peec as “the enterprise option” against Otterly, with API access and agency features, and concluded that for a solo founder “Peec AI’s enterprise features are overkill”. The pricing page places it below Profound and above Otterly, which is the mid-market by any definition; the enterprise framing comes from the feature list, not the bill.

The generic complaint about the category applies. The threads that are not about Peec specifically are about what every tracker lacks. In r/SEO_tools_reviews a marketer described demos that showed “you were mentioned X times” and asked for “the actual prompts where competitors get picked instead of you”. Peec answers that one better than most, with source-level gap analysis. The next question in the same thread, whether anything you changed did anything, is the one it leaves open.

08The MCP server, checked against the docs

This is where Peec separates from most of the category. We read docs.peec.ai/mcp/introduction on 4 September 2026. Peec runs an official remote MCP server. Sign-in is OAuth 2.0 through a consent page, or a personal access token for headless clients. Setup guides exist for Claude Desktop, Claude Web, Claude Code, Cursor, VS Code with GitHub Copilot, and Windsurf. The read tools cover visibility across ChatGPT, Perplexity, Gemini, AI Overviews, AI Mode, Claude, Copilot and Grok, competitor comparison, source analysis, the scraped markdown of any cited URL, trends, bot traffic from Agent Analytics, and ranked next steps. The write tools create, edit and delete prompts, topics, tags and tracked brands in batches of up to fifty, flagged so the client confirms before applying, and require organization-owner access. Ready-made prompts run a weekly pulse, engine scorecard, topic heatmap and campaign tracker as a slash command.

That is a serious piece of work, and the G2 reviewer who wrote “I don’t adopt tools without an MCP anymore, and Peec’s is super useful” is describing the buyer this category is moving toward. Two caveats from the same docs. The pricing page lists API and MCP under data access with API marked as Enterprise; the docs say only that you need an account with at least one project, so confirm which tiers the MCP covers before you buy on the strength of it. And the MCP reads Peec’s measurements; it does not make Peec draft or verify a fix, because the product does not do that anywhere.

For comparison, every Linkeddit capability is also an MCP tool over one URL, including the fix draft and the re-measurement; the connector page lists them. On agent readiness Peec and Linkeddit are the two vendors in this set that took it seriously, and they took it in different directions: Peec exposes richer analytics, Linkeddit exposes the whole loop.

09What Peec measures, and what no tracker can

Peec is unusually transparent about its unit: AI answers, defined on the pricing page as one chat result per model per prompt per day, so 25 prompts on three models over 30 days is 2,250 answers. That is the right way to describe a tracker, and it means Peec’s visibility percentage is comparable with Peec’s over time. It is not comparable with Profound’s or anyone else’s, because the prompt sets, engine mixes and sampling differ, and a review that ranks vendors by their own visibility scores is comparing prompt sets.

Three things no tracker can see. How many people asked the question: Peec scores demand one to five and says so. Whether an answer sent a visit: Peec reports AI referrals from your analytics as a separate signal, which is the honest way to do it. Why the engine chose a source: the scraped-content tool lets you read what the engine read, which is as close as anyone gets, and the reason is still a hypothesis. We have written up the same limits for our own product in AI citation tracking.

One small test we run on every vendor we review: does the tool’s own domain appear in the answers about its own category? Across 220 completed answers in our Answer Radar runs, which include prompts about AI visibility tools, peec.ai was cited zero times. Profound was cited three times. Neither number says anything about the products. Both say that engines cite roundups and review sites about vendors rather than vendors, which is the whole reason this category exists.

10Peec AI vs Linkeddit Answer Radar

We sell a product in this category. Read this as a vendor’s comparison and check both pricing pages. The short version: Peec is the cleaner analytics tool with the richer MCP read surface and the lower entry price on three engines. Answer Radar is four engines with no add-on math, and it finishes the job Peec hands back to you, at $99 with competitor intelligence included.

Pick Peec if you want the best-looking tracker in the mid-market, unlimited seats for a marketing team, crawlability and bot analytics, shopping visibility, and an MCP read surface your analysts can query from Claude or Cursor, and your buyers live on three engines or you will pay for the fourth. Those are good reasons and, at $80 annual, a fair price.

Pick Answer Radar if you want four engines including Claude for $99 flat, you want the measurement to end in a drafted fix built from what the engines actually read and a re-measurement that says whether it moved, and you want weekly competitor intelligence on the same bill. The full comparison is at Linkeddit vs Peec AI.

11Verdict: is Peec AI worth it?

Yes, for a marketing or SEO team that wants to see, daily, how it shows up across three AI engines, share that with the whole team, and reach the data from the tools it already uses. Peec is the cleanest product in the mid-market, its pricing is published and fair for what it includes, and its MCP server is the most complete we have seen from a visibility vendor. Its G2 record is small and spotless.

No, if your buyers are spread across four or more engines and the add-on math takes Starter from $80 to $110 or $140, if you need Claude without an Enterprise contract, or if the question you are trying to answer is not “how visible are we” but “what do we change and did it work”. Peec measures and recommends. It does not draft against the evidence or verify the result, and its own reviewers say the recommendations are not yet something they act on blind.

What we could not verify: which tiers the MCP covers, the current valuation, and the monthly-billed prices beyond deriving them from the page’s own discount and savings figures. We have said so where each comes up, and we corrected our own earlier pages that said Peec published no price.

12Frequently asked questions