gtm-engineer-skills

by onvoyage-aiVerified

Claude Code skill for improving website AEO (AI Engine Optimization) and GEO (Generative Engine Optimization) scores — 16 foundational checks, 6 intelligence dimensions, framework-specific fixes

1,280
Stars
45
Forks
HTML
Language
8/23/2026
Added
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⚠️ Third-Party Software Notice

This skill is third-party open-source software developed and hosted independently on GitHub. SkillTip is an informational directory and does not control or maintain the underlying repository. Any security checks displayed are automated and limited in scope. Review the source code before installing.

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Installation

Add to your Claude Code skills directory:

# Add to your Claude Code skills
git clone https://github.com/onvoyage-ai/gtm-engineer-skills

Getting Started

Guides for using skills like gtm-engineer-skills.

Security Report

Verified

Last scanned: —

{
  "status": "PASSED",
  "issues": []
}

README.md

GTM Engineer Skills

Search is shifting from blue links to AI answers — and the GTM playbook that won on Google does not win on ChatGPT, Claude, or Perplexity. Most AI agents still respond with generic marketing copy that no one will rank, cite, or publish.

This repo is a different kind of toolkit. Each skill is a focused agent workflow that ships a concrete GTM artifact — a brand DNA doc, a keyword or GEO prompt cluster, a content architecture, AI-citable charts, an AEO audit, a backlink plan, or code-level website fixes. Outputs are files an operator can review, publish, test, or hand to the next skill in the pipeline.

What this repo helps you do

GoalSkills to useOutput
Understand a market and brandresearch-brand, research-keywords, geo-content-researchBrand DNA, SEO/GEO keyword clusters, AI prompt targets
Find demand in real communitiesreddit-opportunity-research, build-backlinksSubreddit opportunities, thread patterns, backlink and mention plan
Plan content that can rank and get citedgeo-content-planning, write-seo-geo-contentContent architecture, product-led article drafts, page briefs
Add evidence and visual assetscreate-geo-charts, audit-contentAI-readable charts, data tables, JSON-LD, source verification
Ship resource pagesbuild-resource-pagesFrontend pages built into a client codebase
Improve AI discoverabilityaudit-website-aeo, improve-aeo-geoA-F audit report, prioritized fixes, code changes

Why it exists

Search is shifting from ranked blue links to answer engines: ChatGPT, Claude, Perplexity, Google AI Overviews, and other AI surfaces. Winning there requires different work:

  • Pages need direct answers, clear structure, sources, and quotable passages.
  • Charts need text layers, tables, and structured data, not just pixels.
  • Content plans need to account for prompts, communities, and citations, not only keyword volume.
  • Websites need technical signals that crawlers and AI systems can parse reliably.

These skills turn that work into repeatable agent workflows.

Workflow

The skills are designed to run as a pipeline. Each stage creates files that become context for the next stage.

flowchart TD
    RB["research-brand<br/>URL -> brand_dna.md"]

    RK["research-keywords<br/>-> keyword_research.md"]
    ROR["reddit-opportunity-research<br/>-> reddit_opportunities.md"]
    GCR["geo-content-research<br/>-> geo_prompt_targets.md"]

    GCP["geo-content-planning<br/>-> content_architecture.md"]
    BB["build-backlinks<br/>-> backlink_plan.md"]

    WSGC["write-seo-geo-content<br/>-> markdown articles"]
    CGC["create-geo-charts<br/>-> SVG/HTML/CSV/JSON-LD"]

    AC["audit-content<br/>-> verified claims and sources"]

    BRP["build-resource-pages<br/>-> frontend pages"]
    AWA["audit-website-aeo<br/>-> scored audit report"]
    IAG["improve-aeo-geo<br/>-> website code fixes"]

    RB --> RK
    RB --> ROR
    RB --> GCR

    RK --> GCP
    ROR --> GCP
    GCR --> GCP
    ROR --> BB
    GCR --> BB

    GCP --> WSGC
    GCP --> CGC

    WSGC --> AC
    CGC --> AC

    AC --> BRP
    AWA --> IAG

Quickstart

Clone the repo, then symlink the skills you want into your agent's skill directory.

git clone https://github.com/onvoyage-ai/gtm-engineer-skills.git
cd gtm-engineer-skills

Codex

mkdir -p ~/.codex/skills
ln -s "$PWD/research-brand" ~/.codex/skills/research-brand
ln -s "$PWD/research-keywords" ~/.codex/skills/research-keywords
ln -s "$PWD/geo-content-planning" ~/.codex/skills/geo-content-planning
ln -s "$PWD/audit-website-aeo" ~/.codex/skills/audit-website-aeo

Claude Code

mkdir -p ~/.claude/skills
ln -s "$PWD/research-brand" ~/.claude/skills/research-brand
ln -s "$PWD/research-keywords" ~/.claude/skills/research-keywords
ln -s "$PWD/geo-content-planning" ~/.claude/skills/geo-content-planning
ln -s "$PWD/audit-website-aeo" ~/.claude/skills/audit-website-aeo

Each skill folder contains a SKILL.md file and, when useful, a README, examples, scripts, or schemas.

Example prompts

Use one skill at a time:

Use research-brand on https://example.com and create brand_dna.md.
Use research-keywords with brand_dna.md to find SEO and GEO keyword clusters for this product category.
Use audit-website-aeo on https://example.com with a 20 page crawl and produce a prioritized AEO/GEO audit.

Or run a longer workflow:

Use this repo's GTM skills to research the brand, find SEO/GEO opportunities,
build a content architecture, draft the first two resource pages, and audit the
claims before publishing.

Skills

SkillUse it forMain output
research-brandUnderstand positioning, audience, competitors, voice, and messaging from a company URLbrand_dna.md
research-keywordsFind SEO and GEO keywords using web research, AI analysis, and optional SERP scriptskeyword_research.md
reddit-opportunity-researchDiscover Reddit pain points, subreddits, thread patterns, and user languagereddit_opportunities.md
geo-content-researchIdentify prompts people ask AI engines about a categorygeo_prompt_targets.md
geo-content-planningTurn research into a page architecture with priority, URLs, and page typescontent_architecture.md
write-seo-geo-contentDraft product-led content optimized for search and AI citationMarkdown articles with frontmatter
create-geo-chartsProduce data visualizations with text summaries, HTML tables, CSV, and JSON-LDAI-readable chart packages
audit-contentVerify URLs, statistics, claims, source attribution, and internal consistencyAudit report
build-resource-pagesBuild resource center pages inside a client codebaseFrontend implementation
audit-website-aeoCrawl a live site and score AI discoverability with deterministic and content checksaeo_audit_report.md
improve-aeo-geoApply code-level AEO/GEO fixes to a websiteWebsite code changes
build-backlinksFind free backlink and mention opportunities across communities and directoriesbacklink_plan.md

Sample outputs and examples

Built-in tools

Some skills include scripts for deterministic or higher-volume work:

ToolLocationPurpose
AEO crawleraudit-website-aeo/scripts/aeo-audit.mjsZero-dependency Node crawler for 16 foundational AEO checks
Keyword explorerresearch-keywords/scripts/keyword-explorer.mjsAutocomplete, PAA, related search, and SERP feature discovery
SERP analyzerresearch-keywords/scripts/serp-analyzer.mjsCompetitive SERP analysis and AI Overview opportunity detection

Run the eval suite with:

npm run test:evals

The evals currently cover CSV contract validation and deterministic regressions for the AEO crawler.

Research references

This repo's AEO/GEO guidance is grounded in published research and large-scale industry studies, including:

Platform notes

  • The skills work with both Codex and Claude Code because each skill is packaged as a folder with SKILL.md.
  • Reddit access differs by product. ChatGPT has native Reddit access in-product; Claude generally does not, so outputs may vary by environment.
  • SEO keywords should be short search phrases. GEO prompts should be complete user questions.
  • Do not fabricate data. Every statistic, benchmark, and third-party claim should have a source.

Contributing

See CONTRIBUTING.md for how to add skills, improve workflows, or contribute examples.

When adding or changing a skill, prefer:

  • A clear SKILL.md with trigger conditions and workflow steps.
  • A README that explains usage, outputs, and examples.
  • Schemas for structured CSV/JSON outputs.
  • Offline tests when behavior can be validated deterministically.

License

MIT, see LICENSE.

Star History

Star History Chart

Frequently Asked Questions

What is gtm-engineer-skills?

gtm-engineer-skills is an open-source data processing skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by onvoyage-ai. Claude Code skill for improving website AEO (AI Engine Optimization) and GEO (Generative Engine Optimization) scores — 16 foundational checks, 6 intelligence dimensions, framework-specific fixes. It has 1,280 GitHub stars.

Is gtm-engineer-skills safe to use?

Yes. gtm-engineer-skills passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install gtm-engineer-skills?

Clone the repository with "git clone https://github.com/onvoyage-ai/gtm-engineer-skills" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is gtm-engineer-skills written in?

gtm-engineer-skills is primarily written in HTML. It is open-source under onvoyage-ai on GitHub, so you can review or fork the full source.

Are there alternatives to gtm-engineer-skills?

Yes. SkillsLLM lists many other Data Processing skills you can browse and compare side by side. Open the Data Processing category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh gtm-engineer-skills against similar tools.

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