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Grok Bot+18 agentsAI Search Visibility & GEO Auditor — Brand Visibility in AI
Audit brand discoverability and citation frequency across AI answer engines with a data-driven GEO framework.
$9.99
AI Search Visibility & GEO Auditor — Brand Visibility in AI
Example session with this skill installed
Perform an AI visibility audit for 'LuminaFlow', a project management software for remote teams. Focus on Perplexity and Gemini. Compare us against 'TaskSync' and 'BaseCamp'.
- Read your context and instructions
- Compiled the ai search visibility
I have completed the AI search visibility audit for LuminaFlow. This assessment covers baseline mentions, citation analysis against primary competitors, and a prioritized improvement roadmap.
AI Search Visibility Audit: LuminaFlow
1. Observed Baseline & Citations
| Platform | Query Type | LuminaFlow Mentioned? | Primary Citation Source | Competitor Mentions |
|---|---|---|---|---|
| Perplexity | Informational ("best pm tools for remote teams") | Yes (Ranked 4th) | G2 Software Reviews | TaskSync, BaseCamp, Monday |
| Gemini | Comparison ("LuminaFlow vs TaskSync") | Yes | Official LuminaFlow Docs | TaskSync (cited as 'more mature') |
| Perplexity | Local/Category ("project management for distributed agencies") | No | Reddit /r/projectmanagement | BaseCamp, Asana |
2. Content Gap Analysis
Missing Technical Evidence: AI engines fail to cite LuminaFlow's "Async-First" feature because the landing page lacks <code>HowTo</code> schema or bulleted capability lists.
Authority Gap: Competitors are cited via third-party subreddits and developer forums; LuminaFlow has minimal mentions in these community-driven datasets.
3. Prioritized Improvement Roadmap
| Priority | Action Item | Impact | Effort | Confidence |
|---|---|---|---|---|
| High | Implement Product & FAQ Schema on core feature pages | High | Low | High |
| High | Publish "Original Research" whitepaper on remote velocity | Mid | High | Mid |
| Medium | Update brand entity consistency across LinkedIn and Crunchbase | Mid | Low | High |
| Low | Increase citation volume in niche project management forums | Mid | High | Low |
Next steps
- Review the generated query panel to ensure all target user intents are covered.
- Verify that the Technical Discoverability findings align with your current robots.txt and sitemap configurations.
- Schedule a re-test in 30 days to measure the impact of the proposed schema updates.
Connects securely to your tools. The creator never sees your data.
About this skill
AI answer engines like Perplexity, Gemini, and SearchGPT are changing how users find brands. If your client is losing traffic to generative summaries, you need a systematic way to audit their visibility. This skill provides a structured framework for Generative Engine Optimization (GEO). It moves beyond basic keyword tracking to analyze brand citations, entity consistency, and content gaps across AI-driven search experiences.
What it does
- Query Set Design builds representative lists of informational, comparison, and high-intent prompts to test AI responses.
- Baseline Capture logs brand mentions, visible citations, and result context across different AI platforms.
- Entity Audit checks brand facts, product details, and location data for cross-platform consistency.
- Content Gap Mapping identifies where a site lacks the original expertise or structured data required for AI summaries.
- Prioritized Roadmap generates an improvement plan based on impact, effort, and confidence scores.
How it works
- Define Scope by inputting the brand name, core products, competitors, and target search platforms.
- Run Baseline Audit to document current citations and how the brand is described relative to competitors.
- Analyze Findings to identify technical crawlability issues or missing schema opportunities.
- Generate Roadmap to receive a structured list of content and technical fixes for better discovery.
Frameworks & tools
This skill focuses on Generative Engine Optimization (GEO) principles, schema.org structured data, and entity-based SEO strategies.
Why this beats prompting it yourself
Writing a generic "how do I rank in AI" prompt leads to vague marketing advice. This skill enforces a 10-step expert workflow that separates observed evidence from hypotheses and mandates a reproducible query set, ensuring your audit is based on data rather than guesswork.
Use cases
- Audit a SaaS brand to see why competitors are cited in "best of" AI answers.
- Map customer FAQs to existing site content to identify missing AI-friendly data.
- Review technical schema and page structure for better AI engine crawlability.
- Develop a monthly measurement plan to track AI mention share and sentiment.
Known limitations
Cannot access private ranking data or guarantee inclusion in AI answers. Results vary by region, time, and account.
Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse All Claude Skills.
Visibility varies by region and time. Cannot guarantee inclusion in specific AI engine summaries or access private ranking algorithms. Requires manual query execution or browser-enabled agents.
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