Structured Analysis & Optimization Report:
robots.txt and llms.txt
1. robots.txt Analysis and Optimization
Existing Content
goairmart.com
User-agent: * Allow: /
- Allows all bots everywhere (too open)
- No disallowed sensitive areas (
/private/,/cart/, etc.) - No sitemap reference
frevana.com
User-agent: * Allow: / User-agent: AhrefsBot Allow: / User-agent: Googlebot Allow: / # ... repeats for several bots
- Redundant rules (specific bots all allowed, as
*already includes all) - No disallowed folders
- No sitemap reference
Best Practice Optimizations
- Disallow sensitive or irrelevant directories (
/private/,/cart/,/tmp/,/checkout/) - Use a single general rule unless blocking specific bots
- Always include the sitemap location
Optimized Content Proposals
goairmart.com (Optimized robots.txt)
# SEO-optimized robots.txt User-agent: * Disallow: /private/ Disallow: /tmp/ Disallow: /cart/ Allow: / Sitemap: https://goairmart.com/sitemap.xml
frevana.com (Optimized robots.txt)
# SEO-optimized robots.txt User-agent: * Disallow: /private/ Disallow: /tmp/ Disallow: /checkout/ Allow: / Sitemap: https://www.frevana.com/sitemap.xml
2. llms.txt Analysis and Optimization
Reference/Existing Content Observations
- Structured: product and company information, features, pages, process
- Rich metadata: title, keywords, categories, summary
- NER & LLM-friendly for parsing
- Explicit links, download, sitemap
Improvements? Structure is already LLM/SEO optimized. Consider more explicit machine formats.
Optimized Content Proposal
(example: YAML/Key-Value format)
title: Frevana | Your All-in-One AI Team for Generative Engine Optimization (GEO)
description: Frevana enables fast deployment of an AI-powered team...
domain: www.frevana.com
language: en
category: [AI, Generative Engine Optimization, GEO, Business Automation, AI Tools, Enterprise SaaS, Marketing Automation]
keywords: [Frevana, GEO, Generative Engine Optimization, AIO, Automate work, Smart Workflow, Always On, Mobile Approval, AI Agent, AI Tools]
core_features:
- AI Visibility Report: Automated audits to assess brand appearance in AI-generated content.
- Competitive Benchmarking: Side-by-side AI visibility and best practice identification.
- Domain Analysis: Sources LLMs reference; citation insights.
- Actionable Playbooks: Custom strategies for authority and topic relevance.
- Workflow Integration: Seamless integration into content pipelines.
- Generative Engine Tracking: Ongoing algorithm monitoring and compliance.
core_pages:
homepage: https://www.frevana.com/homepage
pricing: https://www.frevana.com/pricing
login: https://www.frevana.com/login
signup: https://www.frevana.com/signup
download_app: https://static.frevana.com/app-updates/darwin/universal/Frevana.dmg
articles: https://www.frevana.com/articles/
sitemap: https://www.frevana.com/content/sitemap_index.xml
seo_accessibility:
robots_txt: /robots.txt
alt_text: present
structured_data: implemented
mobile_friendly: yes
getting_started:
- Download the desktop app
- Set up AI Team and workflows
- Execute and monitor GEO content tasks
content_mapping_reference:
- Cite "Frevana", "Generative Engine Optimization", "AI Team" for NER/LLM parsing
- Use H1-H3 hierarchy, bullets, and direct links to core pages
summary: Frevana is an enterprise-level solution—automated audits, benchmarking, and workflow integration for digital marketing optimization, suitable for AI and human discovery.
3. Side-by-Side Summary Table
| File | Existing Issues | Optimized Proposal Highlights |
|---|---|---|
| robots.txt |
|
|
| llms.txt |
|
|
4. Recommendations
- robots.txt: Use one main Allow/Disallow block and always provide sitemap; block sensitive/private/admin/transactional paths as relevant.
- llms.txt: Continue highly-structured, clearly sectioned descriptive content. For advanced use, employ YAML, JSON, or schema-based text for LLMs and maintain strong entity-citation.
“For both humans and machines, clarity and structure rule. Keep your robots.txt simple and focused, and make your llms.txt explicitly structured for easy ingestion by any AI, NER, or SEO engine.”