
Berlin, Germany
2025
Marketing Technology, Digital Marketing, Search Marketing, Brand Management, Marketing Analytics, Enterprise Software
Peec AI is an artificial intelligence software company developing an AI search analytics platform for brands, marketing teams, and agencies. Its software measures how companies and products appear within answers generated by platforms such as ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Perplexity, and Microsoft Copilot. Peec AI operates within the emerging field of Generative Engine Optimization (GEO), where organizations monitor and improve their visibility as consumers increasingly use AI systems for search and product discovery.
Peec AI helps organizations understand how their brands appear in AI-generated answers. Marketing teams create or discover relevant prompts and then monitor responses from selected AI platforms. The system measures brand visibility, average position, sentiment, and share of voice relative to competitors.
The platform also identifies the websites and URLs being cited by AI systems, helping teams understand which sources may influence their visibility. Peec AI can generate recommended actions based on observed opportunities and provides reporting, exports, API access, and integrations for incorporating its data into marketing workflows. Its newer capabilities extend beyond answer monitoring into AI crawler and referral analytics, connecting AI discovery with website activity.
Peec AI’s technology centers on the systematic collection and analysis of responses produced by generative AI and AI-powered search systems. The platform repeatedly executes selected prompts across supported models and analyzes the resulting answers for brand mentions, position, sentiment, share of voice, and citations. Peec says tracked prompts can be refreshed daily and segmented by model, country, and custom prompt tags.
Its source analytics examine the domains and individual URLs referenced within AI-generated answers. This allows marketers to investigate which external sources are associated with responses about their brands and competitors.
Peec AI has also expanded into AI agent and crawler analytics. Its Agent Analytics capabilities monitor AI bots accessing a website, identify pages they request, and evaluate whether robots.txt configurations allow or block different crawlers. Supported connections include services and platforms such as Cloudflare, Vercel, and WordPress, along with raw server-log uploads.
For integration with other systems, Peec provides API and MCP access, enabling its visibility data to be incorporated into tools and automated workflows.
Search behavior is expanding beyond conventional search-engine result pages as people increasingly ask AI systems direct questions about products, companies, and services. That creates a new measurement problem: organizations need to know whether and how AI systems mention their brands, not simply where their websites rank in traditional search results.
Peec AI represents the growing technology category built around measuring this new discovery layer. Instead of treating AI search as conventional SEO traffic, its platform analyzes the actual answers, citations, prompts, and AI crawlers involved. This makes Peec relevant to the emergence of GEO and AI search analytics as distinct areas within digital marketing technology.
The company’s primary platform monitors brand performance across AI-powered search and answer engines. It measures visibility, position, sentiment, and share of voice, allowing organizations to compare performance across models, topics, markets, and competitors.
Peec’s visibility tools measure how frequently a brand appears within responses generated for selected prompts. Organizations can compare their performance with competitors and investigate which prompts and AI engines are producing particular results. The system also provides citation and source intelligence showing which domains and URLs appear in AI answers.
Agent Analytics monitors AI crawler activity on websites, including which bots visit, which pages they access, and whether website configurations allow or block them. Peec distinguishes AI crawler activity to help organizations understand how their content is being accessed by AI systems.
Peec provides MCP and API access for connecting its AI visibility data with external tools and automated workflows. The company specifically supports workflows involving tools such as Claude, Cursor, and n8n.
Peec AI is primarily used in marketing, SEO, GEO, brand management, and digital analytics. Brands can monitor whether they appear when consumers ask AI systems questions about products or services, compare that visibility with competitors, analyze citations, and identify areas where content could be improved.
Marketing agencies can manage AI-search monitoring across multiple clients, while e-commerce teams can track product and SKU-level visibility within AI shopping experiences. Enterprise teams can also use crawler analytics and AI referral data to connect AI visibility with website accessibility, traffic, engagement, and conversions.
Peec AI tracks major AI search and answer platforms including ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Perplexity, and Microsoft Copilot. Additional models available through higher-tier configurations include Claude, DeepSeek, Qwen, Grok, and Mistral.
Peec AI calculates visibility based on the percentage of tracked AI responses in which a brand appears. It can also measure average position, sentiment, and share of voice against competing brands.
Yes. Peec AI provides citation and source analytics that identify domains and URLs appearing as sources for tracked AI responses. This helps organizations investigate which external websites are associated with their visibility in generative search.
Yes. Agent Analytics identifies AI bots accessing a site, the pages they request, and whether those bots are allowed or blocked by robots.txt. Peec says its coverage includes crawlers associated with major AI platforms and models.
Yes. Peec’s AI Referrals feature connects with Google Analytics and measures sessions coming from AI assistants, including engagement, conversions, and revenue. Results can be segmented by assistant and landing page as well as country and device.
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