Peec AI
Peec AI is an AI search analytics platform for marketing teams and agencies that tracks brand performance in generative/LLM-driven search by measuring metrics like Visibility, Position, and Sentiment across models and regions.
Peec AI is business intelligence software teams evaluate for content & marketing. Use this page to review pricing, integration signals, and the best alternatives before you commit.
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Quick Overview
Best for: Content & Marketing
What it does
Business Intelligence software for decision-makers comparing workflow fit and alternatives.
Best fit
Content & Marketing
Pricing snapshot
Pricing available on request
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Peec AI
Peec AI is an AI search analytics platform built for marketing teams and agencies to measure how large language models and AI-powered search systems surface and cite brands. The product tracks core metrics—Visibility (share of chats mentioning a brand), Position (brand ranking within AI search results), and Sentiment (how the brand is perceived by AI)—across multiple models, countries, and prompt segments. Peec AI offers dashboards, daily refreshed visibility scores, prompts management, automated recommendations, and integrations (REST API, Looker Studio connector, and Model Context Protocol) to feed data into BI and AI workflows.
Peec AI is an AI search analytics platform that helps marketing teams track brand visibility, position, and sentiment across major LLMs. Peec AI is a AI Tool featured on Dang.ai. Learn more about Peec AI's AI tool.
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Claim this listing for $29Key Features
AI Search Metrics
Visibility, Position, and Sentiment metrics that show how often a brand is mentioned, where it ranks, and how it is perceived across AI models.
Prompts Management
Create, organize and track prompts (with tags and regions) that define your AI search strategy and monitor their performance.
AI-suggested Prompts & Volumes
Leverage AI-suggested prompts and search volumes to prioritize high-opportunity prompts and content targets.
Model & Region Segmentation
Filter and compare AI visibility by model, country, and prompt tags to analyze performance across segments (e.g., ChatGPT vs Gemini, US vs UK).
Source & Citation Tracking
Track domain- and URL-level source usage, distinguishing between 'used' content and explicit 'cited' URLs, with citation frequency.
Actionable Recommendations
Strategy recommendations and suggested actions (e.g., claim review sites, join conversations, PR opportunities) to improve AI visibility and rankings.
Exports & Reporting
Export clean CSVs, create client-ready dashboards via Looker Studio connector, and generate shareable reports.
API & MCP Integrations
REST API and Model Context Protocol (MCP) to connect visibility data to BI stacks and AI agents (examples cited: Claude, Cursor, n8n).
Pricing
Current pricing details are not available from the vendor source.
Use Cases
Marketing teams measuring AI visibility
Track where and how often a brand appears in AI/model answers, monitor sentiment, and prioritize content changes to improve discovery in generative search.
SEO and content strategy optimization
Identify the prompts and content types surfaced by specific LLMs, prioritize winners, and optimize content to capture AI-driven traffic and conversions.
Agency reporting and client dashboards
Create shareable reports and Looker Studio dashboards that demonstrate AI visibility, citations, and progress for clients.
Integrating AI visibility into analytics workflows
Feed live visibility and citation data into BI or automation stacks via REST API, Looker Studio connector, or MCP for downstream workflows and alerts.
Integrations
REST API
Automate reporting and build custom data pipelines with Peec AI data.
Model Context Protocol (MCP)
Feed visibility data directly into AI agents and tools (example integrations cited: Claude).
Looker Studio connector
Pull Peec AI project data into Looker Studio to build dashboards and client-ready reports.
Third-party agents/tools
Page cites examples such as Claude, Cursor, and n8n as connectors via MCP or API.
Benefits
Limitations
Frequently Asked Questions
How do I get started with Peec AI?
Can I segment visibility by model, region, or audience?
How often is the data refreshed?
What are brand visibility vs. source visibility metrics?
How do I integrate Peec AI into my BI/reporting tools?
Getting Started
- 1 Step 1: Create a workspace and enter your brand name and domain.
- 2 Step 2: Accept or import suggested prompts matched to real customer search intent and tag them by persona or funnel stage.
- 3 Step 3: View initial AI visibility scores and dashboards; connect Looker Studio, the REST API, or MCP if you want to automate reporting.
Support
docs
Product Docs and Docs pages available from the site navigation (ProductDocs / Docs).
sales
Talk to Sales via the website (Talk to Sales / Start Free Trial CTAs).
self-serve resources
Blog, changelog, and reviews pages linked from the site for learning and announcements.
API
Product Docs and REST API are mentioned on the site (Docs link in navigation).
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