Measure & Improve Visibility Across
AI Answer Engines & Crawlers
Inspect your website's technical readiness from live crawl signals, run empirical citation probes to verify where your domain is cited with source URLs, and monitor AI referrals and crawler requests.
Domains Evaluated
48
Avg Technical Readiness
Unavailable
Total Scans Executed
48+
Edge Tracking Overhead
< 5 ms
How CiteRoute Measures & Verifies AI Visibility
Three verifiable layers separating on-page technical readiness from empirical AI citations and referral traffic.
1. Technical Readiness & Citation Probing
Audits retrieved website content for structured data, heading hierarchy, and tabular facts while separately running live discovery and brand-recognition probes to verify real source-URL citations.
2. Machine-Readable Agent Protocols
Publishes structured agent.json and llms.txt manifests so automated crawlers and AI assistants can inspect your public documentation and API endpoints reliably.
3. Observed AI Referral & Crawler Analytics
Server-side middleware and browser telemetry classify AI referrals, crawler requests, and suspected agent traffic with explicit confidence and verification methods.
Quick llms.txt Generator
Draft your LLM documentation manifest in seconds.
# Example
> Official LLM prompt manifest for example.com.
## Sections
- [Documentation](https://example.com/docs)
- [API Reference](https://example.com/api)
- [Pricing](https://example.com/pricing)AI Content Optimizer
Rewrite fluffy marketing copy into high-citation empirical data.
Agentic Traffic & CAC Yield Calculator
Estimate how much revenue is unlocked by capturing autonomous AI buyer agents and generative search citations.
Model assumptions: 38% of visits estimated to have agentic intent (Gartner 2024 AI search adoption estimate); 4.2% agentic conversion rate; $8 equivalent CPC savings per 100 agent visits. Figures are illustrative projections - actual results depend on your domain, industry, and GEO readiness score.