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 thatrebeccarae/claude-marketing --skill aeo-geo-optimizergit clone --depth 1 https://github.com/thatrebeccarae/claude-marketingWrote 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/thatrebeccarae/claude-marketing/aeo-geo-optimizer)<a href="https://agentmods.dev/skills/thatrebeccarae/claude-marketing/aeo-geo-optimizer"><img src="https://agentmods.dev/badge/skills/thatrebeccarae/claude-marketing/aeo-geo-optimizer/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.
<a href="https://agentmods.dev/skills/thatrebeccarae/claude-marketing/aeo-geo-optimizer"><img src="https://agentmods.dev/badge/skills/thatrebeccarae/claude-marketing/aeo-geo-optimizer.svg" alt="Reviewed on agentmods" width="80" 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 | $0.02337 |
| Opus 5 | $0.00046 | $0.01169 |
| Sonnet 5 | $0.00019 | $0.00467 |
| Haiku 4.5 | $0.00009 | $0.00234 |
Grade A, and why
aeo-geo-optimizer 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 234 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AEO/GEO Optimizer
Optimize content and websites for AI-powered search experiences — ChatGPT, Perplexity, Claude, Google AI Overviews, and Bing Copilot.
Install
git clone https://github.com/thatrebeccarae/claude-marketing.git && cp -r claude-marketing/skills/aeo-geo-optimizer ~/.claude/skills/
Why This Matters
Traditional SEO optimizes for 10 blue links. AEO/GEO optimizes for AI-generated answers. When someone asks ChatGPT or Perplexity a question, the answer synthesizes from sources — and those sources get cited, linked, and trusted. If your content is not structured for AI consumption, you are invisible in the fastest-growing search channel.
Core Concepts
AEO vs GEO vs Traditional SEO
| Dimension | Traditional SEO | AEO (Answer Engine) | GEO (Generative Engine) |
|---|---|---|---|
| Target | Google/Bing SERPs | Featured snippets, AI Overviews, voice assistants | ChatGPT, Perplexity, Claude citations |
| Goal | Rank on page 1 | Be THE answer | Be cited in AI-generated responses |
| Content format | Long-form, keyword-rich | Concise, structured Q&A | Authoritative, quotable, fact-dense |
| Signals | Backlinks, keywords, UX | Schema markup, direct answers, authority | E-E-A-T, data density, citation-worthiness |
| Measurement | Rankings, traffic | Answer box appearance, voice search hits | AI citation tracking, brand mentions in AI |
The Citation Hierarchy
AI models prioritize sources based on:
- Authority signals — Domain authority, author expertise, institutional backing
- Content structure — Clear headings, direct answers, structured data
- Freshness — Recent publication dates, updated statistics
- Specificity — Exact numbers, named sources, verifiable claims
- Uniqueness — Original research, proprietary data, novel frameworks
AEO/GEO Audit Workflow
Step 1: Assess Current AI Visibility
- Test AI citation presence: Query ChatGPT, Perplexity, and Google AI Overviews with questions your content should answer. Document which queries cite your content vs competitors.
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 234 lines · 93 tokens per session scan A ba1f832c2546
aeo-geo-optimizer is a skill published in the GitHub repository thatrebeccarae/claude-marketing (136 stars, last pushed 3mo ago), licensed MIT. It adds 93 tokens to every session and 2,337 once invoked, about $0.0005 per session on Opus 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 2026-08-30.
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