Agent Traffic Estimator — User Guide
What is Agent Traffic Estimator?
Agent Traffic Estimator estimates how much traffic your website receives from AI agents outside of traditional search. The tool analyzes your infrastructure for agent accessibility, combines it with industry benchmarks, and provides per-channel estimates with AI-generated recommendations.
Beyond search-based AI traffic (ChatGPT, Perplexity), there is a growing stream of programmatic agent traffic: REST API calls, MCP protocol connections, structured data consumption, and direct agent integrations. This traffic is invisible in traditional analytics.
How to use the tool
1. Fill in the form
- Domain: The domain you want to analyze (e.g. "example.com")
- Brand name: Company name (optional, defaults to domain)
- Industry: Choose from 8 industry categories (technology, SaaS, e-commerce, marketing, finance, health, education, media)
- Monthly total traffic: Estimated total traffic per month
- Monthly direct traffic: Estimated direct traffic per month
- Known API calls (optional): Number of known API calls per month
ROI fields (optional)
Click "ROI calculation" to show additional fields:
- Conversion rate (%): Your average conversion rate
- Average order value (NOK): Average value per conversion
2. Run the analysis
Click "Estimate agent traffic". The tool:
- Runs an infrastructure scan via Agent Readiness Checker (7 HTTP checks)
- Calculates agent traffic per channel based on infrastructure + industry benchmarks
- Generates AI insights and recommendations via Gemini
The analysis typically takes 15–45 seconds.
3. Read the results
Top-level numbers
- Estimated agent traffic: Total visits per month from AI agents
- Percent of total traffic: What share agent traffic represents
- Infrastructure score: 0–100 based on your agent accessibility
- ROI (if calculated): Estimated monthly value in NOK
Channel breakdown
Traffic is broken down into 5 channels:
| Channel | Description | Confidence |
|---|---|---|
| REST API | Direct API calls from external systems | High if API exists |
| MCP protocol | Model Context Protocol connections | Medium (based on structured data) |
| Structured data | Harvesting of JSON-LD and Schema.org | High if structured data exists |
| AI crawlers | GPTBot, Google-Extended, PerplexityBot etc. | High (based on robots.txt) |
| Direct agents | Autonomous agents via llms.txt and AI Plugin Manifest | Medium |
Each channel shows:
- Estimated number of visits
- Percentage of total agent traffic
- Confidence badge (High / Medium / Low / AI-Estimate)
- Visual progress bar
Insights
Numbered list of AI-generated insights about your agent infrastructure and traffic patterns.
Recommendations
Prioritized actions to increase agent traffic, generated by AI based on scan results.
Methodology
Explanation of the estimation model, including data sources and limitations.
Industry benchmarks
Estimates are based on industry-specific benchmarks for agent adoption:
| Industry | API traffic | MCP | Structured data | AI crawlers | Direct |
|---|---|---|---|---|---|
| Technology | High | High | Medium | High | Medium |
| SaaS | High | High | Medium | Medium | High |
| E-commerce | Medium | Low | High | High | Low |
| Marketing | Medium | Medium | Medium | Medium | Low |
| Finance | Low | Low | High | Medium | Low |
| Health | Low | Low | High | Medium | Low |
| Education | Low | Low | Medium | High | Low |
| Media | Medium | Low | High | High | Low |
Confidence badges
- Verified: Based on real infrastructure scanning
- High: Strong indication from scan results
- Medium: Moderate indication, partially based on benchmarks
- Low: Mainly based on industry benchmarks
- AI-Estimate: Calculated by the AI model
Tips
- Create REST API endpoints with good documentation (OpenAPI/Swagger)
- Implement structured data (JSON-LD) on all important pages
- Add llms.txt and AI Plugin Manifest to increase discoverability
- Allow AI crawlers in robots.txt
- Re-run the analysis after infrastructure improvements
Credits
The tool costs 50 credits per analysis. Includes infrastructure scanning + AI analysis.
Technical background
The tool uses Agent Readiness Checker to run real HTTP checks against your domain. Results are combined with industry benchmarks and AI analysis via Gemini to estimate traffic per channel. Estimates are indicators, not exact numbers — they are based on infrastructure signals and industry norms.
Last updated 2026-04-09