Peec AI Skills: Implementing an Automated Workflow for Brand Visibility Tracking in Generative Search Engines Using Claude Code

Peec AI Skills is an open-source Claude Code Skills system developed by AntonioBlago, consisting of two core workflows: ai-visibility-setup (nine-stage project configuration) and peec-content-intel (six-stage content intelligence). By integrating Peec AI and Visibly AI via the MCP protocol, it enables automated tracking of brand visibility in generative search engines like ChatGPT and Perplexity, helping marketers turn data into actionable content strategies—it's a key infrastructure for brand competitiveness in the AI search era.

Traditional SEO focuses on SERP rankings in Google/Bing, but generative AI searches (ChatGPT, Perplexity, etc.) directly generate answers and cite authoritative sources. Brands not cited by AI lose exposure opportunities. The Peec AI platform helps marketers understand their brand's performance in AI searches: which prompts trigger mentions, competitor citation scenarios, and directions to fill content gaps.

This Skill transforms a new Peec project into an operationally ready state:

1. Competitor Discovery: Analyze AI conversation data to identify frequently cited brands;
2. Forum Pain Point Mining: Extract real user pain points from forums like Reddit; 3-6. Customer Journey Prompt Design: Design prompts matching user needs across awareness/consideration/decision/retention stages; 7-9. Structured Classification & Validation: Establish a topic tag taxonomy and generate a list of optimization recommendations.

Turn visibility gaps into content strategies:

1. Gap URL Identification: Find URLs where competitors are cited but your brand is missing;
2. Query Expansion: Expand parent prompts into 5-8 semantically related sub-queries (synonymous/decision/contrast variants, etc.);
3. Forum Content Mining: Retrieve discussion materials from forums like Reddit via Peec's index;
4. SEO Data Integration: Integrate Visibly AI's GSC keywords, backlinks, OnPage audit, and other data; 5-6. Opportunity Scoring & Briefing: Generate scores and deliverable content briefs based on integrated data.

Standardized integration is achieved using the Model Context Protocol (MCP) architecture:

• Peec AI MCP Server: Provides functions like brand reports, URL gap analysis, content crawling, and AI conversation data;
• Visibly AI MCP Server (Optional): Offers deep SEO capabilities such as query fan-out, keyword data, and backlink analysis. Peec-side configuration can still be completed without Visibly AI, but features like GSC keyword mapping will be missing.

Target Users: GEO service providers, content marketing teams, SEO agencies, brand managers; Practical Value:

1. Automation: Compress hours of manual analysis into minutes;
2. Data-Driven: Based on real AI conversation data instead of assumptions;
3. Actionable: Output content briefs directly deliverable to teams;
4. Modular: Enable/disable features as needed.

1. Peec AI Dependency: Requires a Peec AI platform subscription;
2. Data Timeliness: AI conversation data has a delay of over 24 hours;
3. Language Limitations: Primarily optimized for German and English markets;
4. Visibly Cost: A full analysis consumes 10-45 credits per use.

Peec AI Skills transforms Claude Code from a programming assistant into a marketing automation hub, automating tedious data tasks so marketers can focus on strategy and creativity. For teams exploring GEO, this open-source skill set provides an excellent starting point—it's a key infrastructure for brands to stay competitive in the AI search era.