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 manojbajaj95/claude-gtm-plugin --skill seo-and-aeo-strategygit clone --depth 1 https://github.com/manojbajaj95/claude-gtm-pluginWrote 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/manojbajaj95/claude-gtm-plugin/seo-and-aeo-strategy)<a href="https://agentmods.dev/skills/manojbajaj95/claude-gtm-plugin/seo-and-aeo-strategy"><img src="https://agentmods.dev/badge/skills/manojbajaj95/claude-gtm-plugin/seo-and-aeo-strategy/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/manojbajaj95/claude-gtm-plugin/seo-and-aeo-strategy"><img src="https://agentmods.dev/badge/skills/manojbajaj95/claude-gtm-plugin/seo-and-aeo-strategy.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 | $0.00238 | $0.03777 |
| Opus 5 | $0.00119 | $0.01888 |
| Sonnet 5 | $0.00048 | $0.00755 |
| Haiku 4.5 | $0.00024 | $0.00378 |
Grade A, and why
seo-and-aeo-strategy 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 — 376 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SEO & AEO Strategy
Workspace Context
Read bootstrap context before asking questions: strategy/brand.md for brand, audience, offer, channels, tools, constraints, and metrics; about/me.md for personal voice; content/ideas.md and content/calendar.md for content planning. Use legacy product-marketing context files only as fallback. Save generated drafts to content/<platform>/drafts/YYYY-MM-DD_short-topic-slug.md, and route durable learnings back to strategy/brand.md, about/me.md, or content/ideas.md.
Operating Contract
This skill is self-contained for its frontmatter scope: use its local instructions, references, scripts, and assets as the playbook; ask only for missing task-specific inputs; hand off to adjacent skills instead of expanding scope; and return an actionable artifact, decision, plan, draft, or diagnostic.
Traditional SEO gets pages ranked. AI search optimization (AEO/GEO) gets content cited. This skill covers both.
SEO → Rank in traditional search results (blue links)
AEO → Appear in featured snippets, AI Overviews, voice answers
GEO → Get cited in generative AI responses (ChatGPT, Claude, Perplexity)
2025 reality: AI Overviews appear in ~47% of Google searches. 58% of queries end without a click. Optimize for citation, not just ranking.
Initial Assessment
Use the Workspace Context above first. Only ask for what is missing.
Before auditing, understand:
- Site context — Type (SaaS, e-commerce, blog), primary SEO goal, priority keywords/topics
- Current state — Known issues, organic traffic level, recent changes or migrations
- AI visibility — Does the brand appear in AI-generated answers today? Checked ChatGPT, Perplexity, Google AI Overviews?
- Scope — Full site vs. specific pages? Technical + on-page + AI, or one focus area?
Technical SEO
Crawlability
| Check | What to Verify |
|---|---|
| robots.txt | No unintentional blocks, sitemap referenced, AI crawlers allowed |
| XML Sitemap | Exists, submitted to Search Console, canonical URLs only, < 50K URLs |
| Site architecture | Important pages within 3 clicks, logical hierarchy, no orphan pages |
| Crawl budget | Parameterized URLs controlled, faceted nav handled, no session IDs in URLs |
What ships with it
31 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.
- examples/opc-skills-case-study.md 7.7 KB
- references/aeo-geo-patterns.md 9.2 KB
- references/ai-crawlers.md 7.0 KB
- references/ai-writing-detection.md 6.1 KB
- references/backlink-strategies.md 9.9 KB
- references/content-patterns.md 9.8 KB
- references/content-templates.md 8.7 KB
- references/geo-research.md 9.1 KB
- references/google-docs-summary.md 1.5 KB
- references/platform-algorithms.md 11 KB
- references/platform-ranking-factors.md 10 KB
- references/programmatic-seo-playbooks.md 7.9 KB
- references/query-research.md 7.6 KB
- references/schema-examples.md 8.0 KB
- references/schema-for-ai.md 7.6 KB
- references/schema-templates.md 11 KB
- references/seo-checklist.md 7.1 KB
- references/site-architecture-mermaid-templates.md 4.8 KB
- references/site-architecture-navigation-patterns.md 10 KB
- references/site-architecture-site-type-templates.md 9.4 KB
- references/tools-and-apis.md 8.0 KB
- scripts/autocomplete_ideas.py 2.5 KB runs code
- scripts/backlinks.py 1.0 KB runs code
- scripts/competitor_gap.py 3.0 KB runs code
- scripts/credential.py 311 B runs code
- scripts/dataforseo_api.py 3.2 KB runs code
- scripts/domain_overview.py 1.4 KB runs code
- scripts/keyword_research.py 1.1 KB runs code
- scripts/related_keywords.py 3.1 KB runs code
- scripts/seo_audit.py 4.8 KB runs code
- scripts/serp_analysis.py 1.2 KB runs code
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 · 376 lines · 238 tokens per session scan A 3d5c410c34c2
seo-and-aeo-strategy is a skill published in the GitHub repository manojbajaj95/claude-gtm-plugin (100 stars, last pushed 3mo ago), licensed MIT. It adds 238 tokens to every session and 3,777 once invoked, about $0.0012 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…