Peec AI

Peec AI is an AI search visibility and analytics platform built for marketing teams, SEO practitioners, and brand managers who need to understand how their brand appears across generative AI answer engines. Instead of tracking traditional search rankings alone, it centers on monitoring how a brand, its competitors, and its products show up within AI-generated responses — a category now commonly called AI search or answer engine optimization.

Target User

Peec AI suits organizations that need ongoing, structured tracking of brand mentions and sentiment across large language model outputs, not a one-off audit. That covers in-house SEO and content teams, agencies managing multiple client brands, and enterprise marketing organizations that need multi-country or multi-language monitoring alongside custom reporting workflows. Its tiered structure scales from a handful of tracked prompts up to fully customizable enterprise deployments, so it works both for lean individual marketers and for larger teams that need unlimited seats and cross-departmental reporting.

Core Features

The platform tracks brand visibility across ChatGPT, Gemini, AI Overviews, Microsoft Copilot, Perplexity, Claude, Deepseek, Qwen, and Mistral, giving users one consolidated view of how a brand surfaces across major generative AI ecosystems rather than a single model. Tracking frequency can be set to daily or weekly depending on plan level and monitoring needs. Teams that want to route data into existing BI stacks can use the Looker Studio integration, and Peec AI also supports MCP integration for connecting AI search data into broader model-context workflows. On the enterprise side, Single Sign-on (SSO) centralizes identity management, and the platform supports sub-brand tracking as well as multi-country and multi-language monitoring — useful for organizations running distinct brand entities or operating across several regional markets. An API is also available for programmatic access to tracked data, so teams can build custom dashboards or feed results into internal tooling instead of relying solely on the native interface.

SOC 2 and Security

SOC 2 certification status for Peec AI is not publicly disclosed. Prospective enterprise customers with compliance requirements should confirm current certification and security documentation directly with the vendor before procurement.

Pricing

Peec AI bills annually and follows a flat pricing model, so the listed starting price is the main cost driver for standard plans; usage-based pricing kicks in for the Enterprise tier and for additional-model add-ons purchased on top of named plans. Across the full tier ladder — seven pricing lines in total — costs range from $30/yr for an incremental additional-model add-on on the Starter plan up to named plans at $80/yr (Starter), $205/yr (Pro), and $420/yr (Advanced), with Enterprise priced on a custom, usage-based basis rather than a fixed rate. The three core paid tiers differ mainly in the number of trackable prompts, the number of supported projects, and access to features like multi-country tracking and the Looker Studio integration, while unlimited users and daily tracking come standard even at the entry Starter level. Enterprise customers get fully customizable prompt tracking, access to all supported models (up to eleven LLMs tracked), API access, SSO, and a choice of daily or weekly tracking frequency — geared toward organizations with more complex governance or reporting needs rather than a fixed self-serve price point.

Summary

Peec AI differentiates on breadth of model coverage and reporting flexibility — nine distinct AI systems, configurable tracking cadence, BI and MCP integrations, and enterprise identity/access controls — all packaged into an annually billed, flat-rate structure with a clear upgrade path from small-team Starter plans to fully custom Enterprise deployments where usage-based costs take over.