Rank #352

Peec AI

AI search analytics and visibility tracking across LLMs for marketing teams and agencies.

71.3Overall
score
ToolsRank verdict

Peec AI suits digital marketing teams and SEO agencies actively optimizing for generative engine optimization (GEO) and AI answer engines. It is less suited for small businesses focused purely on traditional local search or organizations seeking standard keyword rank tracking without generative AI monitoring.

Sources captured Sep 8, 2026 · First listed Sep 8, 2026 · Methodology v1.1 · Vendor pricing can change

Listed dossier. Drafted from the vendor's official pages with AI assistance and published under the automatic listing rules; an editor has not reviewed it yet. Every claim links to its source below. Report an error or read how listing works.

Direct answer

What is Peec AI?

Peec AI tracks brand visibility, ranking position, and sentiment across major AI answer engines like ChatGPT, Gemini, Copilot, and Perplexity, helping marketing teams monitor generative engine optimization (GEO).

Peec AI is an AI search analytics platform designed to help marketing teams and SEO agencies monitor how brand entities are cited across conversational AI platforms. The platform monitors daily queries across models including ChatGPT, Google Gemini, Microsoft Copilot, and Perplexity, with additional models available on enterprise setups. Users can input target prompts, organize them by funnel stage or persona tags, and evaluate three core metrics: visibility percentage (share of conversations mentioning the brand), position (placement within generated answers), and sentiment scoring. Beyond surface mentions, the system distinguishes between cited sources (direct hyperlinked URLs) and used sources (uncredited domain retrieval that informed the generated response). It also features an AI Shopping tracker for SKU-level win-rate monitoring, an AI crawlability audit analyzing over 40 AI bots against server logs, and actionable recommendations for digital PR and community discussions. Integration options include a Google Looker Studio connector, Model Context Protocol (MCP) support for feeding data directly into AI assistants, and a REST API for automated dashboards.

What makes it different

Unlike traditional rank trackers that only monitor static search engine results pages, Peec AI tracks citations across conversational LLMs while separating direct URL citations from uncredited retrieval sources, augmented by an MCP server connection for AI agents.

Product capabilities

Key features

Daily Multi-Model Monitoring

Executes tracked prompts once every 24 hours across chosen engines, including ChatGPT, Gemini, Perplexity, and Microsoft Copilot.

Citation and Retrieval Analytics

Differentiates between direct web citations and underlying uncredited sources used by LLMs to formulate answers.

AI Search Metric Tracking

Measures brand visibility percentages, relative list position, and algorithmic sentiment scoring against competing brands.

AI Crawlability Audit

Evaluates robots.txt configurations and server log files across more than 40 AI web crawlers.

Model Context Protocol (MCP) Support

Exposes visibility metrics and tracking data to external AI agents in Claude, Cursor, and n8n via MCP.

AI Shopping and SKU Tracking

Supports product catalogue ingestion via CSV or Shopify to measure win-rate, position, and retrieved sources per SKU.

Workflow

How Peec AI works

  1. Input brand details, domains, and seed prompt queries reflecting target search intent.
  2. Select the AI engines to monitor, such as ChatGPT, Perplexity, Gemini, or Copilot.
  3. Review daily dashboards detailing brand mention rate, position, sentiment, and the specific third-party sources cited.

Practical fit

Who should use Peec AI?

SEO directorsBrand marketersDigital PR agenciesContent strategistsE-commerce merchandisers
01

Generative Engine Optimization (GEO)

Analyze which media domains, review sites, and Reddit discussions AI models cite most frequently, then tailor digital PR strategies to capture those sources.

02

Competitor Share of Voice Analysis

Benchmark brand mention rates and sentiment scores against key industry competitors across identical prompt sets.

03

Agency Client Dashboards

Consolidate multi-brand AI visibility trends into client-ready reports using the Looker Studio connector or REST API.

Editorial assessment

Pros and limitations

Where it is strong

  • Tracks both direct URL citations and underlying background retrieval sources across major LLMs.
  • Provides built-in Model Context Protocol (MCP) support and a Looker Studio connector for reporting workflows.
  • Includes specialized e-commerce SKU tracking and technical AI crawler log auditing.

Where to be careful

  • Public pricing tables do not display specific tier dollar amounts without starting a signup or sales flow.
  • Starter and Pro plans restrict tracking to three active models simultaneously.
  • Looker Studio integration and API access require higher-tier subscriptions.

Commercial context

Peec AI pricing

Starting fromContact sales

Exact numeric subscription rates were not disclosed on the public pricing tables at the review date (September 2026). Pricing scales by tracked prompt limits, active models, and project count, with a 15% discount for annual billing and a free trial option available. Verify current pricing directly with the vendor.

PlanPriceWhat it includes
StarterContact vendor / Free trial
  • 50 prompts
  • Choose 3 models
  • Unlimited users
  • Daily tracking frequency
  • 1 project
  • 4M bot visits audit
ProContact vendor / Free trial
  • 150 prompts
  • Choose 3 models
  • Unlimited users
  • Daily tracking frequency
  • 2 projects
  • 10M bot visits audit
AdvancedContact vendor / Free trial
  • 350 prompts
  • Choose 3 models
  • Unlimited users
  • Daily tracking frequency
  • 5 projects
  • Multi-country support
  • Looker Studio integration
  • 25M bot visits audit
EnterpriseCustom
  • Custom prompt volume
  • Choose from all models (up to 12)
  • Unlimited projects
  • Daily or weekly frequency
  • API access
  • SSO
  • Dedicated onboarding

Pricing, limits, taxes, model access, and regional availability can change. Verify the purchase-critical details on the official pricing page linked under Sources.

Transparent ranking

Why Peec AI scores 71.3

Each factor is scored on a 100-point scale, then combined using the public ToolsRank weights. Engagement and momentum stay at a neutral baseline until measured signals exist, so no tool can gain or lose position from numbers nobody recorded.

Editorial quality78
Practical utility82
Trust & transparency75
Freshness85
Engagement quality0
Momentum50
See weights, tie-breakers, and governance →

Compatibility

Languages, platforms, and integrations

Languages

  • English

Platforms

  • Web

Integrations & surfaces

  • Google Looker Studio
  • Claude
  • Cursor
  • n8n
  • Shopify
  • Google Analytics
  • Cloudflare
  • AWS CloudFront
  • WordPress
  • Vercel

Community

Reviews and questions

No approved member reviews yet. Editorial factors above are the only rating on this page.

Reviews and questions come from Google-signed members and are checked by an editor before they appear.

Frequently asked

Peec AI FAQ

What are AI answers in Peec AI?+

AI answers represent individual search results evaluated across engines. For instance, running 25 prompts across 3 models over 30 days results in 2,250 analyzed AI answers.

How often does Peec AI refresh visibility data?+

The platform executes each configured prompt once every 24 hours across all selected AI models to deliver daily trend comparisons.

What is the difference between brand visibility and source visibility?+

Brand visibility measures instances where an AI directly names your brand in its reply. Source visibility tracks whether your website domain or URL was retrieved to generate the answer, even if the brand is not explicitly mentioned.

How can data from Peec AI be exported or integrated?+

Peec AI supports CSV exports, a Google Looker Studio connector for dashboarding, a REST API for custom internal pipelines, and a Model Context Protocol (MCP) server for feeding live data into AI agent tools like Claude or Cursor.

Record history

What changed in this dossier

  • Sep 8, 2026Initial directory entry created from official landing, pricing, and privacy documentation.

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