Peec AI

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.

Pricing not listed API 70/100
#166 in Business Intelligence (166 tools)
Just launched
Data reviewed Sep 8, 2026

Profile facts come from the vendor source. AiMatch labels unknown pricing or API details instead of estimating them.

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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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Key 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

Quantifies how LLMs and AI search engines frame and mention your brand (Visibility, Position, Sentiment).
Enables data-driven prioritization of prompts and content to capture AI-driven traffic and conversions.
Integrates with BI and automation stacks (API, Looker Studio, MCP) for reporting and operational workflows.
Provides daily refreshed trend data across models, countries, and prompt segments for apples-to-apples comparison.
Delivers actionable recommendations and source citation visibility to improve trust and ranking in AI answers.

Limitations

Data refresh cadence is daily: each prompt is executed once every 24 hours per selected model, so Peec AI does not provide sub-daily real-time updates.

Frequently Asked Questions

How do I get started with Peec AI?
Peec AI walks you through setting up a workspace with your brand name and domain, then suggests prompts matched to real customer search intent. Within a few minutes your dashboard shows your first AI visibility scores broken down per engine.
Can I segment visibility by model, region, or audience?
Yes. You can filter AI visibility data by model, country, and prompt tags to compare performance across segments (for example US vs UK or ChatGPT vs Gemini).
How often is the data refreshed?
Peec AI executes each prompt once every 24 hours on every AI model you've selected, providing daily trend data.
What are brand visibility vs. source visibility metrics?
A brand mention occurs when an AI answer directly names your brand. A source citation is when your website or content is used to generate an answer (your URL may be 'used' or explicitly 'cited'). Peec AI tracks both.
How do I integrate Peec AI into my BI/reporting tools?
Integrations are available via a Google Looker Studio connector, a REST API for custom pipelines, and the Model Context Protocol (MCP) to feed visibility data into AI agents such as Claude.

Getting Started

  1. 1 Step 1: Create a workspace and enter your brand name and domain.
  2. 2 Step 2: Accept or import suggested prompts matched to real customer search intent and tag them by persona or funnel stage.
  3. 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

Available: Yes
Documentation:

Product Docs and REST API are mentioned on the site (Docs link in navigation).

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