obul-geo

Monitors and compares brand presence in LLM-generated search responses and web data.

1|2|Updated Mar 2, 2026
One-click install
npx skills add https://github.com/obulai/obul-apis --skill obul-geo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: obul-geo
Source: https://github.com/obulai/obul-apis/tree/main/skills/obul-geo
Command: npx skills add https://github.com/obulai/obul-apis --skill obul-geo

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps businesses understand and improve their brand's presence and perception across various AI-powered search engines and LLMs, addressing the challenge of opaque AI content generation.

Core Features & Use Cases

  • Brand Visibility Tracking: Monitor how your brand is mentioned across multiple LLMs.
  • Competitor Analysis: Measure your share of voice against competitors in AI-generated content.
  • Prompt Suggestion: Generate effective prompts to increase brand visibility.
  • Citation Validation: Verify the authenticity and relevance of URLs cited by LLMs.
  • Use Case: A marketing team can use this skill to see how often their brand "Acme Corp" is mentioned in responses from Perplexity, OpenAI, and Gemini when users search for "best cloud solutions," and compare this to mentions of their competitors.

Quick Start

Use the obul-geo skill to check brand visibility for "MyBrand" with competitors "CompetitorA" and "CompetitorB" in response to the prompt "top AI tools".

Frequently Asked Questions about obul-geo

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I track brand visibility across AI search engines like Perplexity and Gemini?

You can track brand visibility across AI search engines by fanning out prompts to LLMs like Perplexity, OpenAI, Gemini, Claude, and Grok, then analyzing the generated responses for brand mentions, sentiment, and citations. This monitors your presence across multiple platforms.

What is share of voice in generative AI and how do I compare it against competitors?

Share of voice in generative AI measures how often your brand is mentioned compared to competitors in LLM-generated content. You can analyze this by submitting prompts to multiple AI models and comparing the frequency of your brand mentions versus competitors in the responses.

Can I verify if the URLs cited by LLMs in search results are authentic and relevant?

Yes, citation validation allows you to verify the authenticity and relevance of URLs cited by LLMs. This feature checks the links generated by AI models during your brand visibility tracking to ensure the referenced content is accurate and applicable.

How do I generate effective prompts to increase brand visibility in AI search?

You can generate effective prompts to increase brand visibility by using prompt suggestion features tailored for different funnel stages. This helps optimize your Generative Engine Optimization strategy by targeting specific AI search queries.

Does brand visibility monitoring work for analyzing sentiment across multiple LLMs?

Yes, brand visibility monitoring analyzes sentiment across multiple LLMs by fanning out prompts to models like OpenAI, Claude, and Grok. It evaluates the sentiment of brand mentions in the generated responses to gauge overall perception.

What is Generative Engine Optimization and when do I need it for my marketing strategy?

Generative Engine Optimization (GEO) improves your brand's presence in AI-generated search results. You need GEO when you want to understand and enhance how large language models perceive and mention your brand compared to competitors in AI-powered search.