Peec AI

The Solution & Approach

Peec AI is an AEO/GEO analytics platform that tracks how often, where, and why AI answer engines cite a brand, across ChatGPT, Perplexity, Google AI Overviews, Gemini, Copilot, Claude, Grok, and DeepSeek. It launched in Berlin in 2025 and positions itself as the mid-market and agency play. CEO Marius Meiners calls it "more of a mid-market mass product," with two-thirds of the customer base at companies of 100 to 200 employees.

The product has widened from a citation tracker into a fuller workflow. Actions turns visibility data into a prioritized worklist, Agent Analytics tracks AI crawler behavior, and AI Shopping Analytics extends tracking to SKU-level product visibility inside AI shopping answers. An MCP server adds read and write access from Claude, Cursor, and VS Code.

Peec also runs a research team dedicated to reverse-engineering how answer engines rank brands, hired from SEO and computational-neuroscience backgrounds. CPO Malte Landwehr frames the output as a durability play: "Many tactics that currently work well for short-term gains in AI visibility will stop working in a year." The company reported $10M ARR sixteen months after launch, with 2,500+ customers and 70+ employees.

Best for

Mid-market marketing teams and agencies that want broad AI-engine coverage and a prescriptive worklist without enterprise-first pricing or per-seat fees.

Pricing & trial

Self-serve with published tiers: €75/month for 25 prompts, €169/month for 100 prompts, and enterprise from €424/month, with ChatGPT, Perplexity, and Google AI Overviews on every plan and other engines as roughly €20 to €30 per engine/month add-ons; no free trial noted. Pricing.

Agent Experience

How you build on this platform (or wire it into your own agents):

Strong build-on surface: an MCP server with read and write operations plus bulk actions up to 50 entities from Claude, Cursor, and VS Code, an API (gated to the €499/month Enterprise plan), a Looker Studio connector, and an MCP build competition that drove hands-on adoption.

Reference customers

Chanel, Axel Springer, ElevenLabs, TUI, n8n, Attio, Peak Ace, DEPT, Squarespace, Hugo Boss.

Case studies & customer stories

• Momentum boosted AI-search visibility 10x, outranking Salesforce and Zapier on dozens of prompts source
• Mint Position drove a 16% ChatGPT visibility increase in 90 days for fintech clients source

Recent moves

• 2026-06-26In talks to raise roughly $10M at a ~$200M pre-money valuation, roughly double the Series A valuation, with the round unclosed per Sifted. source
• 2026-06-26Introduced a research team dedicated to reverse-engineering how AI answer engines select and recommend brands. source
• 2026-06-17Launched AI Shopping Analytics, extending tracking from brand-level visibility to SKU-level product visibility inside AI shopping answers. source
• 2026-06-11Published a tutorial on using MCP to pull Google Search Console, Peec, and Screaming Frog data together through AI models. source
• 2026-06-04June changelog promoted the Chats table to general availability, added three Crawl Insights log-connection methods, and began tracking Gemini 3 Flash and Qwen 3.7. source
• 2026-05-28Press release confirmed $10M ARR sixteen months post-launch, with 2,500+ customers, 70+ employees, and a New York office. source

Company, Financials & Funding History

Peec AI was founded in Berlin in early 2025 by Marius Meiners (CEO), Tobias Siwonia (CTO), and Daniel Drabo (CRO), who met in Antler's Winter 2024 cohort. It grew from €650K ARR four months post-launch to a company-confirmed $10M ARR by May 2026, with 70+ employees and a New York office open since Q2 2026.

Analyst placement

Peec AI holds a 4.9/5 rating across 11 verified reviews on G2, though the AEO category G2 Grid "Leader" designation in the Winter 2026 reports is held by Profound, not Peec. It ranked #2 in Harmonic's Q2 2026 Hot 25. G2 reviews