Peec AI is an AI-search analytics platform built for marketing teams and SEO agencies to track brand visibility, position, sentiment, and share of voice across AI chat interfaces. It has grown quickly since launching in early 2025 and is one of the more feature-dense products in this category, with modules covering not just visibility tracking but citation source classification, AI Shopping performance, and "brand perception" scoring.

Who makes it

Peec AI is built by a Berlin startup founded in early 2025 by Daniel Drabo, Tobias Siwonia, and Marius Meiners, who met in Antler's Berlin winter 2024 cohort. The company raised a $21 million Series A in November 2025 led by Singular, with Antler, Combination VC, identity.vc, and S20 participating, bringing total funding to $29 million on top of a July 2025 seed round led by 20VC. By May 2026, industry reporting put the company's annualized revenue above $10 million. Peec's own site claims more than 3,000 brands and agencies as customers.

Engines it covers

This is where reading the vendor's actual pricing page — not summaries of it — matters. On the Starter, Pro, and Advanced plans, customers choose 3 active models from a list of 6: ChatGPT, Google AI Mode, Google AI Overviews, Microsoft Copilot, Gemini, and Naver AI. Perplexity does not appear in that list at all on the standard plans. It is available, alongside Claude Sonnet 4, GPT-5 Search, Grok, DeepSeek, Qwen, Mistral, and Meta Spark, only on the custom Enterprise tier, where the company advertises "up to 13 LLM models tracked," each accessed via API. Buyers who assume Peec covers Perplexity out of the box, as several competitors do at their entry tier, should check this before signing up.

How it collects data

Peec AI's own documentation states that it primarily uses browser automation and UI scraping to interact with AI platforms through their consumer-facing web interfaces, simulating a logged-out, average user session, rather than querying the underlying model APIs for most tracked engines. The company's stated rationale is that API responses can differ from what a real user sees in the product interface — including which sources appear and how many. Its Enterprise-tier models (Perplexity, Claude, GPT-5 Search, and others) are explicitly tagged as API-based in its own pricing breakdown, suggesting a mixed approach depending on the engine and plan tier, similar to how some competitors describe choosing a collection method per platform.

Core features

Peec organizes its product into four groups: Discover (brand context, prompt suggestions drawn from a customer's own site, competitor and topic suggestions), Measure (visibility, position, sentiment, and share of voice tracked daily against named competitors; source analytics with citation share and per-domain classification; an "Ads library" tracking sponsored placements inside AI answers; SKU-level AI Shopping visibility for e-commerce catalogs), Act (gap analysis showing sources that cite competitors but not the customer, and ranked recommended actions), and Report (shareable dashboards, a Looker Studio connector, and API/MCP access on Enterprise). A brand-perception module scores the gap between what AI answers say a brand is known for and where it actually sits, and can fact-check AI claims about a brand against a set of facts the customer defines.

Pricing, checked September 2026

Reading the live, rendered pricing page at peec.ai/pricing on 2026-09-25 (note: prices are in euros, not dollars, despite some third-party coverage quoting dollar figures):

  • Starter: EUR 85/month — 50 prompts, 3 models, 1 project, daily tracking
  • Pro: EUR 205/month — 150 prompts, 3 models, 2 projects, daily tracking
  • Advanced: EUR 425/month — 350 prompts, 3 models, 5 projects, multi-country support, Looker Studio integration
  • Enterprise: custom — unlimited prompts and projects, up to 13 LLM models, API access, SSO

Peec defines an "AI answer" as one prompt run once against one model on one day, and gives a worked example (25 prompts x 3 models x 30 days = 2,250 AI answers) so buyers can estimate their own usage before committing to a tier. Additional models beyond the 3 included can be added to Starter, Pro, or Advanced for an extra monthly fee.

Strengths

Peec is unusually transparent about its own mechanics: it documents its browser-based collection method rather than leaving it implicit, and it publishes the exact formula behind its usage metric. Its citation-source classification (editorial vs. corporate vs. UGC) and brand-perception fact-checking are more granular than most competitors' visibility scores, and the product clearly targets teams that want to act on gaps, not just monitor them.

Limitations

The absence of Perplexity from every plan below Enterprise is a significant gap for a category where Perplexity is frequently one of the two or three most-cited engines. The "3 of 6" active-model structure on standard plans also means a brand tracking, say, ChatGPT, Gemini, and Copilot simultaneously has no room left for Google AI Overviews without an add-on. And while Peec cites a 4.9-out-of-5 rating on G2, that is a vendor-selected, third-party figure we have not independently verified.

Who it's best for

Peec suits in-house SEO and marketing teams, and agencies managing several client brands, who want deep citation and brand-perception detail on ChatGPT, Gemini, Copilot, and Google's AI surfaces, and who don't need Perplexity coverage without moving to a custom Enterprise deal.

Verdict

Peec AI is a well-documented, feature-rich tracker held back for many buyers by one specific gap: Perplexity sits behind its highest, uncosted tier rather than its published plans. Teams whose category conversations happen mostly on ChatGPT, Gemini, and Copilot will find a deep, transparently explained product; teams that need Perplexity from day one should budget for an Enterprise conversation rather than the advertised starting price.