ai-seo

ai-seo is a skill for Claude Code from classicchins/compounding-marketing. It costs 58 tokens per session (5,030 once invoked), scanned A, original, MIT.

A skill for improving how content is found and cited by AI search tools such as ChatGPT, Perplexity, and Google AI Overviews. AEO and GEO are methods for shaping content so answer engines can extract and use it.

In plain words
What is it for?
Use it to plan content for AI search visibility, including answer-focused structure, citations, and measurement of visits referred by AI tools.
Why use it?
Traditional search often gives users answers without a website visit, so content may need to be clear and authoritative enough to appear inside generated answers.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the compounding-marketing plugin — 39 skills, 16 commands shipped together

Good fit Use it to plan content for AI search visibility, including answer-focused structure, citations, and measurement of visits referred by AI tools.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/classicchins/compounding-marketing/ai-seo
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 classicchins/compounding-marketing --skill ai-seo
Clone the repo
git clone --depth 1 https://github.com/classicchins/compounding-marketing

Made for: Claude Code.

Or install compounding-marketing, the plugin that ships this one along with the rest of its 39 skills, 16 commands.

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-seo

README.md
[![agentmods](https://agentmods.dev/badge/skills/classicchins/compounding-marketing/ai-seo/github.svg)](https://agentmods.dev/skills/classicchins/compounding-marketing/ai-seo)
Your own site
<a href="https://agentmods.dev/skills/classicchins/compounding-marketing/ai-seo"><img src="https://agentmods.dev/badge/skills/classicchins/compounding-marketing/ai-seo/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-seo

Your own site · 80×15
<a href="https://agentmods.dev/skills/classicchins/compounding-marketing/ai-seo"><img src="https://agentmods.dev/badge/skills/classicchins/compounding-marketing/ai-seo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,030 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 original 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 $0.00058 $0.05030
Opus 5.5 $0.00023 $0.02012
Sonnet 5.5 $0.00012 $0.01006
Haiku 4.5 $0.00006 $0.00503

Measured 2mo ago against content hash 531cae322ffc, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ai-seo 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 2mo 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.

skills/ai-seo/SKILL.md · 549 lines

How it starts

The opening of the file, as written. The whole thing — 549 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI Search Optimization (AEO/GEO)

You are an AI search optimization specialist. Your goal is to maximize brand visibility and citations across AI-powered search engines including ChatGPT, Perplexity, Google AI Overviews (formerly SGE), and emerging AI-native search platforms. You combine Answer Engine Optimization (AEO) with Generative Engine Optimization (GEO) to ensure content is both extractable by AI systems and authoritative enough to be cited.


The Landscape Shift

Traditional search is fragmenting. AI-powered search engines now synthesize answers from multiple sources, often without requiring a click-through. The brands that win are those whose content is structured to be extracted, cited, and recommended by AI systems.

Key dynamics (directional, not point-in-time):

  • A majority of Google searches now end without a click — users get answers directly from AI Overviews, knowledge panels, and featured answers, so visibility inside the answer is increasingly the conversion event
  • AI-referred sessions are growing rapidly year-over-year — ChatGPT, Perplexity, and Google AI Mode are emerging as a new acquisition channel; track them as a distinct source in analytics
  • Citation overlap between ChatGPT and Perplexity is low — a domain that ranks in one is not guaranteed to rank in the other, so platform-specific optimization matters
  • Most AI Overview citations come from pages that also rank in the top 10 organic results — traditional SEO still feeds AI SEO; ranking organically is a prerequisite, not an alternative

Two disciplines, one strategy:

Discipline Focus Goal
AEO (Answer Engine Optimization) Structure content so AI can extract and cite it Be the answer
GEO (Generative Engine Optimization) Build authority so AI chooses your content over competitors Be the source

Initial Assessment

Before optimizing, gather baseline context.

Step 0: Prerequisites

  1. Check for product-marketing-context.md — load .agents/product-marketing-context.md if it exists. If not, run the cm-context skill first.
  2. Gather current content inventory — identify existing pages, blog posts, landing pages, and documentation that could serve as AI-extractable content.
  3. Identify target queries — list the questions and topics your ICP asks AI search engines about. Group by intent tier:
    • Navigational: "What is [Brand]?" / "[Brand] pricing"
    • Informational: "How to [solve problem]?" / "Best [category] tools"
    • Commercial: "[Brand] vs [Competitor]" / "[Category] comparison"
    • Transactional: "[Brand] free trial" / "Buy [product type]"
  4. Test current visibility — run your target queries on ChatGPT, Perplexity, and Google AI Mode. Document whether your brand is mentioned, cited, or absent.

Read the full file on GitHub · 549 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. 2mo ago First seen · 549 lines · 58 tokens per session scan A 531cae322ffc

Subscribe to this mod's changes

ai-seo is a skill published in the GitHub repository classicchins/compounding-marketing (8 stars, last pushed 5mo ago), licensed MIT. It adds 58 tokens to every session and 5,030 once invoked, about $0.0002 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 2026-08-31.

Related

ai-seo compared with skills from other repositories

ai-seo next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
ai-seoclassicchins/compounding-marketingSkill85mo agoMITA58Claude Code
imagegenopenai/codexSkill133kyesterdayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143kyesterdayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143kyesterdayMITA103Claude Code