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ai-traffic-tracking

ai-traffic-tracking is a skill for Claude Code, Codex from dalroot/agentic-seo. It costs 93 tokens per session (998 once invoked), scanned A, original, MIT.

When the user wants to track AI search traffic in GA4 or GSC. Also use when the user mentions "AI traffic," "ChatGPT referral," "Perplexity traffic," "AI Overviews," "GA4 AI sources," "AI search analytics," "track AI referrals," "AI search traffic," "Claude traffic," or "how to track AI traffic." For AI SEO strategy…

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 25repo 6d ago A scan 93 tokens MIT
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Install with agentmods
npx agentmods add skills/dalroot/agentic-seo/ai-traffic
View source ↗ dalroot/agentic-seo t4wroot.github.io
Install

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.

Any agent
npx skills add dalroot/agentic-seo --skill ai-traffic
Clone the repo
git clone --depth 1 https://github.com/dalroot/agentic-seo

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for ai-traffic-tracking

README.md
[![agentmods](https://agentmods.dev/badge/skills/dalroot/agentic-seo/ai-traffic/github.svg)](https://agentmods.dev/skills/dalroot/agentic-seo/ai-traffic)
Your own site
<a href="https://agentmods.dev/skills/dalroot/agentic-seo/ai-traffic"><img src="https://agentmods.dev/badge/skills/dalroot/agentic-seo/ai-traffic/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for ai-traffic-tracking

Your own site · 80×15
<a href="https://agentmods.dev/skills/dalroot/agentic-seo/ai-traffic"><img src="https://agentmods.dev/badge/skills/dalroot/agentic-seo/ai-traffic.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 93 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 998 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00093 $0.00998
Opus 5.5 $0.00037 $0.00399
Sonnet 5.5 $0.00019 $0.00200
Haiku 4.5 $0.00009 $0.00100

Measured today against content hash 3c9abc98eb7c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 today.

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.

skills/analytics/sources/ai-traffic/SKILL.md · 94 lines

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

Option 1: Exploration Report (Recommended)

  1. Explore →Free form
  2. Dimensions: Session source (or Session source / medium)
  3. Metrics: Sessions, Engagement rate, Event count, etc.
  4. Filters: Add filter →Session source Matches regex →use regex below
  5. 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

  1. Admin →Data Display →Channel Groups
  2. Copy default group, name e.g. "Default and AI Chatbots"
  3. Add channel "AI Chatbots": Source Matches regex (same regex)
  4. Important: Place "AI Chatbots" above "Referral" so it matches first
  5. Save and use in Traffic Acquisition

Option 3: Custom Report

  1. Reports →Library →Create Detail Report
  2. Use Traffic Acquisition template
  3. Add filter: Session source Matches regex (same regex)
  4. Save and add to menu

Read the full file on GitHub · 94 lines

Changes

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.

  1. today First seen · 94 lines · 93 tokens per session scan A 3c9abc98eb7c

Subscribe to this mod's changes

ai-traffic-tracking is a skill published in the GitHub repository dalroot/agentic-seo (25 stars, last pushed 6d ago), licensed MIT. It adds 93 tokens to every session and 998 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-26.

Analytics and metricsLLMMarketing and SEOResearchaeoai-agentsai-searchgeogithub-seo
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