Peec AI
Peec AI helps marketing teams measure and improve how brands appear in AI-generated search results. Its platform tracks visibility across AI models and countries, compares brands with competitors, and identifies cited sources and practical opportunities to improve performance.
- Data & Analytics
- Marketing Technology
- Artificial Intelligence
- Software Only
- Enterprise Software
Funding
Raised to date
$29MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
across 3 rounds
+3$21M · Series A
Announced Nov 2025
Disclosed cumulative: $28.6M
Founders
Product
Problem
Marketing teams lack a clear way to measure brand visibility in AI-generated search results across models, prompts, and markets. Without consistent tracking of brand mentions, rankings, competitors, and cited sources, they have limited evidence for deciding how to adapt content and marketing strategies for AI search.
Solution
Peec AI provides analytics for tracking how brands appear in AI search and answering systems. Teams can monitor visibility, position, sentiment, and share of voice across selected prompts, models, competitors, countries, and languages. The platform surfaces cited domains and URLs, identifies gaps where competitors appear but the brand does not, and provides ranked recommendations for improving visibility. Users can organize tracking across projects and brands, then share findings through dashboards, exports, and reporting integrations. Plans support different prompt volumes and project counts, with enterprise options for custom tracking, API access, and additional models.
Target Audience
Peec AI serves SEO and content managers, SEO and marketing teams, brands, and agencies monitoring AI search visibility. Agencies can manage multiple client projects, while larger brands can use enterprise options for customized tracking and integrations.
Features
- Daily or weekly prompt tracking across supported AI models, countries, and languages, with plans supporting up to 13 models.
- Brand analytics for visibility, position, sentiment, and share of voice, including comparisons by model, topic, geography, and competitor.
- Source analytics covering cited domains and URLs, retrievals, citation share, and source classification.
- Gap analysis and ranked recommendations that identify frequently cited sources mentioning competitors but not the tracked brand.
- Brand perception tools for scoring attributes, identifying objections, and fact-checking claims in tracked AI answers against brand-provided facts.
- Reporting through shareable dashboards, CSV exports, a Looker Studio connector, API access, and MCP.
- Additional coverage includes AI referrals, AI-bot crawl insights and crawlability audits, and product-level AI shopping visibility tracking.