No, not in the current environment: the project’s Windows prerequisite is Git Bash rather than PowerShell or CMD, so the installation is blocked before the website audit begins.

• Requirements lists Git, and the project insights explicitly state that Windows users need Git Bash and cannot run the installer directly from PowerShell or CMD.
• Your business objectives are otherwise covered: /geo crawlers checks AI crawler access, /geo brands scans brand mentions, and /geo schema analyzes structured data.
• The Architecture section provides local-business.json, and the Use Cases section includes Local Businesses — Get found by AI assistants.
• Even after adding Git Bash, brand scanning can be affected by third-party platform access restrictions; the README does not promise complete results for Windows or dynamically rendered sites.

Yes: the stated environment and target platforms are explicitly covered, and the project provides a 60-second snapshot command that fits an initial visibility baseline.

• The Requirements section lists Python 3.8+, Claude Code CLI, and Git; the installer places dependencies in ~/.claude/skills/geo/.venv/ without touching system Python.
• The Commands table defines /geo quick as a 60-second GEO visibility snapshot, making it a better starting point than a full audit for a baseline.
• The README positions the tool for ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews while maintaining traditional SEO foundations.
• The output is an audit and rule-driven score, not an official ranking or traffic guarantee from those platforms; the project insights also state that GEO Score cannot guarantee actual citations.

Yes: the project treats AI citability and E-E-A-T as dedicated checks, and Claude Code is its native execution environment.

• The Use Cases section explicitly includes Content Creators — Optimize content for AI citations.
• /geo citability analyzes whether content blocks are self-contained, fact-rich, and directly answer questions; the README identifies 134–167 words as a target range for AI-citable passages.
• /geo content provides content-quality and E-E-A-T assessment, while article-author.json supports Article + Person structured data.
• However, the project outputs scores and recommendations rather than citation predictions. The README also does not say that it automatically rewrites articles, verifies factual sources, or submits content directly to ChatGPT, Perplexity, or other platforms.

Yes: the project combines SaaS entity recognition, citability scoring, E-E-A-T checks, and matching JSON-LD templates, covering the main parts of this workflow.

• The Use Cases section explicitly lists SaaS Companies — Improve entity recognition across AI platforms.
• /geo citability evaluates content blocks for self-contained wording, factual density, and direct answers; the README gives a 134–167-word range for passages likely to be cited by AI.
• /geo content handles content quality and E-E-A-T, while /geo schema analyzes and generates structured data.
• The schema/ directory includes software-saas.json, organization.json, and article-author.json, covering product, organization, and author entities. However, templates do not prove business facts are accurate and do not guarantee that ChatGPT or Perplexity will cite the pages.

It depends: the project covers e-commerce Product Schema, technical SEO, and platform optimization, but Playwright is optional and the project explicitly warns that JavaScript-heavy pages may produce incomplete analysis.

• The Use Cases section includes E-commerce — Optimize product pages for AI shopping recommendations.
• The Architecture section provides product-ecommerce.json; /geo schema can analyze and generate structured data, while /geo technical covers technical SEO foundations.
• Requirements lists Optional: Playwright (for screenshots); the project insights state that results may be incomplete when Playwright is missing or a target site depends on complex JavaScript.
• It can therefore serve as an audit entry point, but the README does not prove that it fully validates post-rendered DOM, product variants, prices, or inventory.

It depends: the project is well suited to connecting audits, reports, and a lightweight client pipeline inside Claude Code, but the README does not establish that it can handle large-scale batch processing or serve as a full CRM.

• /geo audit performs a full GEO+SEO audit with parallel subagents; the architecture lists 13 specialized skills and 5 parallel agents.
• /geo report, /geo report-pdf, /geo proposal, and /geo compare cover Markdown reports, charted PDFs, proposals, and monthly delta reports.
• Prospect, proposal, and report data are stored under ~/.geo-prospects/, and the uninstaller does not remove that directory.
• The README does not state concurrency limits, batch capabilities, per-site runtime, model-call cost, or team access controls, so it should not automatically replace a mature agency platform.