Top fixes
- high
Low Hacker News presence
Low Hacker News presence. Citations to HN posts boost agent trust.
- high
Low Reddit presence
Low Reddit presence. Authentic Reddit discussions feed many model recommendations.
- medium
No /llms.txt found
No /llms.txt found. Add one to make your site agent-readable.
- medium
Page has 3 H1 tags
Page has 3 H1 tags. Use exactly one.
Sub-scores
Discovery
Agents can only recommend tools they can find. llms.txt and open robots.txt are the fastest wins.
Missing
- ✗llms.txt file present
- ✗llms.txt has structured sections (0)
Passing
- ✓robots.txt allows AI crawlers
- ✓sitemap.xml present
Structure
Structured markup lets agents extract facts reliably instead of guessing from prose.
Missing
- ✗Exactly one H1 (3)
Passing
- ✓Schema.org JSON-LD present (5)
- ✓Open Graph tags (title, description, image)
- ✓Twitter card metadata
- ✓Canonical link
- ✓Semantic HTML (main / article)
- ✓Has H2 headings (parseable structure) (13)
Content
Thin or poorly-described content gives agents nothing to summarise or cite.
Passing
- ✓Page title present and reasonable length (48)
- ✓Meta description present (50-160 chars) (151)
- ✓First 200 chars contain meaningful content (37)
- ✓Sufficient content body (300+ words) (1988)
- ✓html lang attribute set
Trust
Models pattern-match provenance signals before recommending — missing basics trigger silent skips.
Missing
- ✗About / Company link
Passing
- ✓HTTPS
- ✓Contact email discoverable
- ✓Privacy / Terms links
- ✓Favicon
Citation
Third-party mentions are the hardest signal to fake and the one agents weight most heavily.
Missing
- ✗Hacker News mentions (2)
- ✗Reddit mentions (0)
Passing
- ✓GitHub code references (22)
Generated llms.txt
Drop this at /llms.txt on your domain.
# Thesis AI > Platform for building and deploying AI agents that can perform autonomous business operations. Thesis AI provides infrastructure for creating autonomous AI agents that can understand context, make decisions, and execute tasks across business systems. The platform enables developers to build agents that can reason about problems and take action without constant human intervention. ## Products - Agent Builder: Tools for creating autonomous AI agents with custom reasoning and decision-making capabilities - Integration Framework: Connections to business applications and data sources for agent operations - Monitoring & Control: Dashboards for observing agent behavior and maintaining human oversight ## Documentation - [Getting Started](https://docs.thesisai.io): Essential setup and initial agent creation guide - [API Reference](https://docs.thesisai.io/api): Complete API endpoints and methods for agent deployment - [Examples & Templates](https://docs.thesisai.io/examples): Pre-built agent patterns for common business tasks ## Policies - Agents operate under human oversight and control parameters - Usage metering based on agent operations and API calls - Enterprise support available for production deployments
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