Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add T4wroot/agentic-seo --skill ai-trafficgit clone --depth 1 https://github.com/T4wroot/agentic-seoWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/t4wroot/agentic-seo/ai-traffic)<a href="https://agentmods.dev/skills/t4wroot/agentic-seo/ai-traffic"><img src="https://agentmods.dev/badge/skills/t4wroot/agentic-seo/ai-traffic.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00093 | $0.00998 |
| Opus 5 | $0.00046 | $0.00499 |
| Sonnet 5 | $0.00019 | $0.00200 |
| Haiku 4.5 | $0.00009 | $0.00100 |
Grade A, and why
ai-traffic-tracking scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to ai-traffic-tracking — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analytics: AI Traffic
Guides tracking of AI-driven search traffic in Google Analytics 4 and Google Search Console.
When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.
Scope
- AI search traffic: Track in GA4 and GSC; separate AI sources from organic referral
- Google AI Overviews: AI summary box in Google search (formerly SGE)
- AI-driven search: Traffic from ChatGPT, Perplexity, Gemini, Claude, Copilot, etc.
Why Track Separately
- AI traffic is growing but GA4 often groups it as Referral, Organic, or Direct
- AI visitors may have stronger intent and higher conversion
- Separating AI Overviews from organic helps assess AI impact
GA4: AI-Driven Search
Option 1: Exploration Report (Recommended)
- Explore →Free form
- Dimensions:
Session source(orSession source / medium) - Metrics: Sessions, Engagement rate, Event count, etc.
- Filters: Add filter →
Session sourceMatches regex →use regex below - Configure table, save report
Regex (common AI sources):
chatgpt\.com|openai\.com|openai|perplexity\.ai|perplexity|doubao\.com|chat\.qwen\.ai|copilot\.microsoft\.com|copilot\.com|(business\.)?gemini\.google|chat\.deepseek\.com|deepseek\.com|poe\.com|anthropic\.com|claude\.ai|bard\.google\.com|edgeservices\.bing\.com
Option 2: Custom Channel Group
- Admin →Data Display →Channel Groups
- Copy default group, name e.g. "Default and AI Chatbots"
- Add channel "AI Chatbots":
SourceMatches regex (same regex) - Important: Place "AI Chatbots" above "Referral" so it matches first
- Save and use in Traffic Acquisition
Option 3: Custom Report
- Reports →Library →Create Detail Report
- Use Traffic Acquisition template
- Add filter:
Session sourceMatches regex (same regex) - Save and add to menu
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 94 lines · 93 tokens per session scan A 3c9abc98eb7c
ai-traffic-tracking is a skill published in the GitHub repository T4wroot/agentic-seo (15 stars, last pushed 5d ago), licensed MIT. It adds 93 tokens to every session and 998 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to ai-traffic-tracking, differing in 0 lines, and is treated as a copy.
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